{"product_id":"build-to-order-kpi-metrics","title":"How Increase Profitability In Build-To-Order Manufacturing?","description":"\u003cdiv class=\"container_new_design\"\u003e\n\u003cdiv class=\"text-section text-1_new_design\"\u003e\n\u003cdiv class=\"line_top\"\u003e\u003c\/div\u003e\n\u003ch2\u003eKPI Metrics for Build-to-Order Manufacturing\u003c\/h2\u003e\n\u003cp\u003eTrack 7 core metrics to manage the complexity of Build-to-Order Manufacturing, focusing on efficiency and profitability Key metrics include Gross Margin %, Cycle Time, and Customer Acceptance Rate Your Y1 revenue is projected at \u003cstrong\u003e$1775 million\u003c\/strong\u003e, hitting breakeven quickly in February 2026 (2 months) We analyze operational costs, like the direct COGS for a Custom Wood Desk at $5500, against fixed overhead of $24,000 monthly Review financial KPIs monthly and operational metrics (like scrap rate) weekly to ensure your Internal Rate of Return (IRR) stays above the current \u003cstrong\u003e112%\u003c\/strong\u003e projection Focus on minimizing the 16-month payback period\n\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"image-section image-1_new_design\" id=\"main_article_image\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\n\u003cspan style=\"color: #6067F2;\"\u003e7 KPIs to Track for \u003c\/span\u003eBuild-to-Order Manufacturing\u003c\/h2\u003e\u003cbr\u003e\n\u003ctable id=\"dwnld_tbl_id\"\u003e\n\u003ctr\u003e\n\u003cth\u003e#\u003c\/th\u003e\n\u003cth\u003eKPI Name\u003c\/th\u003e\n\u003cth\u003eMetric Type\u003c\/th\u003e\n\u003cth\u003eTarget \/ Benchmark\u003c\/th\u003e\n\u003cth\u003eReview Frequency\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003eOrder Backlog Value\u003c\/td\u003e\n\u003ctd\u003eMeasures total committed revenue not yet fulfilled\u003c\/td\u003e\n\u003ctd\u003eTargeting 2-3 months of forward revenue\u003c\/td\u003e\n\u003ctd\u003eWeekly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eManufacturing Cycle Time (MCT)\u003c\/td\u003e\n\u003ctd\u003eTime to complete production (Process + Inspection + Move + Queue)\u003c\/td\u003e\n\u003ctd\u003eAiming for a consistent, low benchmark (eg, \u0026lt;10 days for complex items)\u003c\/td\u003e\n\u003ctd\u003eDaily\/Weekly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003eGross Margin Percentage (GM%)\u003c\/td\u003e\n\u003ctd\u003e(Revenue - Total COGS) \/ Revenue; must cover fixed costs\u003c\/td\u003e\n\u003ctd\u003eTargeting \u0026gt;40% overall; defintely need to cover $24,000\/month fixed costs\u003c\/td\u003e\n\u003ctd\u003eMonthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003eFirst Pass Yield (FPY)\u003c\/td\u003e\n\u003ctd\u003ePercentage of units passing quality inspection without rework\u003c\/td\u003e\n\u003ctd\u003eAiming for \u0026gt;95% FPY\u003c\/td\u003e\n\u003ctd\u003eDaily\/Weekly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003eWorking Capital Cycle (WCC)\u003c\/td\u003e\n\u003ctd\u003eTime to convert raw materials into cash (DIO + DSO - DPO)\u003c\/td\u003e\n\u003ctd\u003eAiming to minimize the cycle, given heavy CapEx ($250k CNC)\u003c\/td\u003e\n\u003ctd\u003eMonthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003eRevenue Per Employee (RPE)\u003c\/td\u003e\n\u003ctd\u003eTotal Revenue \/ Total FTEs\u003c\/td\u003e\n\u003ctd\u003eTargeting continuous improvement (Y1 $1.775M to Y5 $18.705M)\u003c\/td\u003e\n\u003ctd\u003eQuarterly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003ctd\u003eOn-Time Delivery (OTD) Rate\u003c\/td\u003e\n\u003ctd\u003eOrders delivered by promised date \/ Total orders delivered\u003c\/td\u003e\n\u003ctd\u003eAiming for \u0026gt;98% OTD\u003c\/td\u003e\n\u003ctd\u003eWeekly\/Monthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"dwnld_btn_div\"\u003e\u003cbutton id=\"dwnld_btn_id\" class=\"dwnld_btn_clss\"\u003eDownload Table in XLSX\u003c\/button\u003e\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eHow do I calculate true Gross Margin and ensure unit profitability?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eTrue Gross Margin for Build-to-Order Manufacturing requires separating direct costs like materials and labor from variable overhead, such as the \u003cstrong\u003e99%\u003c\/strong\u003e in Year 1 allocated to fees and freight, to establish your floor price. If you don't account for these variable operational costs, your unit profitability calculation will be completely wrong.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eCalculating True COGS\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eGross Margin equals Revenue minus Cost of Goods Sold (COGS).\u003c\/li\u003e\n\u003cli\u003eDirect Costs are the materials and direct labor needed for one specific unit.\u003c\/li\u003e\n\u003cli\u003eVariable Overhead, like the \u003cstrong\u003e99%\u003c\/strong\u003e Year 1 estimate for fees and freight, must be included in COGS.\u003c\/li\u003e\n\u003cli\u003eYour minimum acceptable margin must cover these direct costs and variable operational expenses.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eProfit Levers for On-Demand\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003ePricing must reflect the high customization inherent in Build-to-Order Manufacturing.\u003c\/li\u003e\n\u003cli\u003eReview unit pricing monthly based on actual material costs and freight volatility.\u003c\/li\u003e\n\u003cli\u003eUnderstand how much the owner makes in Build-to-Order Manufacturing by analyzing these true margins; you can read more about that here: \u003ca href=\"\/blogs\/how-much-makes\/build-to-order\"\u003eHow Much Does The Owner Make In Build-To-Order Manufacturing?\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003eFocus on reducing variable overhead costs, defintely freight, as order volume increases.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWhich operational metrics drive production speed and capacity utilization?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eFor Build-to-Order Manufacturing, \u003cstrong\u003eCycle Time\u003c\/strong\u003e and \u003cstrong\u003eFirst Pass Yield (FPY)\u003c\/strong\u003e are the two metrics that directly control how fast you ship orders and how much capacity you actually use. Improving these means you hit delivery promises without needing extra machines or labor; understanding these levers is key to managing your \u003ca href=\"\/blogs\/operating-costs\/build-to-order\"\u003eWhat Are Operating Costs For Build-To-Order Manufacturing?\u003c\/a\u003e. If onboarding takes 14+ days, churn risk rises, so speed matters defintely.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eControlling Cycle Time\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eMeasure time from order confirmation to shipment.\u003c\/li\u003e\n\u003cli\u003eShorter cycle time boosts customer satisfaction.\u003c\/li\u003e\n\u003cli\u003eTarget a \u003cstrong\u003e48-hour\u003c\/strong\u003e internal processing window.\u003c\/li\u003e\n\u003cli\u003eReduce setup time between different product runs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eBoosting First Pass Yield\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eFPY is good units made the first try.\u003c\/li\u003e\n\u003cli\u003eLow FPY forces expensive rework cycles.\u003c\/li\u003e\n\u003cli\u003eIf FPY is \u003cstrong\u003e85%\u003c\/strong\u003e, \u003cstrong\u003e15%\u003c\/strong\u003e of capacity is wasted.\u003c\/li\u003e\n\u003cli\u003eFocus training on the \u003cstrong\u003etop 3 failure points\u003c\/strong\u003e identified.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eHow much cash runway do I need to cover capital expenditures and growth?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eYou need enough cash runway to cover the projected minimum cash requirement of \u003cstrong\u003e\\$780,000\u003c\/strong\u003e by \u003cstrong\u003eJune 2026\u003c\/strong\u003e, while actively managing Accounts Receivable (AR) to fund ongoing operations and planned CapEx like the \u003cstrong\u003e\\$250,000\u003c\/strong\u003e needed for 5-Axis CNC Machining Centers; understanding this balance is crucial before you \u003ca href=\"\/blogs\/how-to-open\/build-to-order\"\u003eHow To Launch Build-To-Order Manufacturing Business?\u003c\/a\u003e. This is defintely the core financial challenge for a lean, build-to-order operation. You must map your capital needs against your collection cycle, because unlike traditional firms, you aren't sitting on inventory to absorb shocks.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eRunway Target \u0026amp; CapEx Coverage\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTarget minimum cash balance is \u003cstrong\u003e\\$780,000\u003c\/strong\u003e by \u003cstrong\u003eJune 2026\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003ePlan for \u003cstrong\u003e\\$250,000\u003c\/strong\u003e CapEx for 5-Axis CNC Machining Centers.\u003c\/li\u003e\n\u003cli\u003eRunway must cover fixed costs until AR stabilizes collections.\u003c\/li\u003e\n\u003cli\u003eGrowth spending must be funded by operational cash flow, not just initial capital.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eFunding Growth with Receivables\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAccounts Receivable (AR) collection speed funds CapEx.\u003c\/li\u003e\n\u003cli\u003eFaster AR turns reduce reliance on cash reserves for equipment.\u003c\/li\u003e\n\u003cli\u003eTreat AR days outstanding as a critical operational metric.\u003c\/li\u003e\n\u003cli\u003eIf customer payment terms are Net 45, you need 45 days of operational float.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eAre we meeting customer expectations regarding quality and delivery timelines?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eMeeting customer expectations for Build-to-Order Manufacturing hinges on rigorously tracking the Customer Acceptance Rate and On-Time Delivery (OTD) metrics. These two numbers directly show if your zero-inventory model is creating quality issues or delivery delays that erode capital efficiency; if you're planning the initial setup, review \u003ca href=\"\/blogs\/startup-costs\/build-to-order\"\u003eHow Much To Start Build-To-Order Manufacturing?\u003c\/a\u003e Honestly, if you can't nail these operational KPIs, the sustainability advantage disappears fast.\u003c\/p\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eGauge Product Acceptance\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eDefine customer acceptance: What triggers final sign-off?\u003c\/li\u003e\n\u003cli\u003eTrack rework hours needed per unit produced.\u003c\/li\u003e\n\u003cli\u003eIf acceptance dips below \u003cstrong\u003e95%\u003c\/strong\u003e, pause new orders.\u003c\/li\u003e\n\u003cli\u003eHigh rework kills the capital efficiency advantage.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\u003ch3\u003eControl Delivery Timelines\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eCalculate OTD against the promised ship date.\u003c\/li\u003e\n\u003cli\u003eIf OTD falls below \u003cstrong\u003e90%\u003c\/strong\u003e, retention suffers.\u003c\/li\u003e\n\u003cli\u003eUse lead time variance to adjust future quotes.\u003c\/li\u003e\n\u003cli\u003eLate deliveries increase customer service overhead, defintely.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\u003cdiv class=\"card_smpl\"\u003e\n\n\u003cdiv class=\"double_border\"\u003e\n\n\u003cdiv class=\"card_smpl_header\"\u003e\n\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\n\u003ch3\u003eKey Takeaways\u003c\/h3\u003e\n\n\u003c\/div\u003e\n\n\u003cul class=\"lst_crct_blog\"\u003e\n\n\u003cli\u003eSuccess in Build-to-Order manufacturing hinges on rigorously tracking seven core KPIs that balance efficiency, margin, and customer satisfaction.\u003c\/li\u003e\n\n\u003cli\u003eMaximizing throughput requires daily monitoring of Manufacturing Cycle Time and aiming for a First Pass Yield rate exceeding 95% to control waste.\u003c\/li\u003e\n\n\u003cli\u003eMaintaining profitability demands ensuring Gross Margin Percentage consistently covers the $24,000 in monthly fixed overhead while supporting projected high returns like the 112% IRR.\u003c\/li\u003e\n\n\u003cli\u003eEffective cash flow management is crucial, as demonstrated by the need to minimize the Working Capital Cycle to fund significant early CapEx investments, such as $250,000 for new CNC machinery.\u003c\/li\u003e\n\n\u003c\/ul\u003e\n\n\u003c\/div\u003e\n\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 1\n: \u003cspan style=\"color: #126CFF;\"\u003eOrder Backlog Value\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eOrder Backlog Value measures the total committed revenue from customer orders that you haven't shipped yet. For a build-to-order manufacturer, this metric is your immediate revenue forecast, showing exactly what work is lined up for production. Track it weekly to ensure you have enough committed work to cover upcoming operational needs.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eGauge future capacity needs accurately, preventing expensive downtime or rush hiring.\u003c\/li\u003e\n\u003cli\u003eProvides a clear view of revenue stability, showing committed work \u003cstrong\u003e2-3 months\u003c\/strong\u003e out.\u003c\/li\u003e\n\u003cli\u003eHelps manage the utilization of specialized assets, like the \u003cstrong\u003e$250k CNC\u003c\/strong\u003e machine.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIt represents committed revenue, not actual cash in the bank yet.\u003c\/li\u003e\n\u003cli\u003eA very large backlog might hide slow fulfillment times, masking high \u003cstrong\u003eManufacturing Cycle Time (MCT)\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eIf the backlog drops below \u003cstrong\u003e2 months\u003c\/strong\u003e of revenue, you need immediate sales action to cover fixed costs of \u003cstrong\u003e$24,000\/month\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor custom manufacturing, a healthy Order Backlog Value should cover at least \u003cstrong\u003e2 months\u003c\/strong\u003e of expected revenue. Hitting \u003cstrong\u003e3 months\u003c\/strong\u003e provides a solid buffer against unexpected production delays or sales dips. If your backlog consistently falls below \u003cstrong\u003e6 weeks\u003c\/strong\u003e of revenue, you're operating too close to the edge for comfort, and fixed costs aren't well covered.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAggressively pursue new customer acquisition to fill the pipeline faster than fulfillment drains it.\u003c\/li\u003e\n\u003cli\u003eSystematically reduce \u003cstrong\u003eManufacturing Cycle Time (MCT)\u003c\/strong\u003e to turn over existing backlog quicker.\u003c\/li\u003e\n\u003cli\u003eIncentivize clients to place larger, multi-unit orders to boost the total dollar value of the backlog.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou find the Order Backlog Value by taking everything you have been paid to build but haven't shipped, and subtracting what you have already shipped in the current period. This shows the committed revenue waiting in the queue.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nOrder Backlog Value = (Total Value of Orders Received) - (Total Value of Orders Delivered)\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay your specialized electronics line has booked $150,000 in new orders this week, but your shop floor shipped $90,000 worth of completed goods. The resulting backlog value is $60,000, representing revenue you expect to recognize next month, assuming your average order value is around \u003cstrong\u003e$5,000\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nOrder Backlog Value = $150,000 (Received) - $90,000 (Delivered) = $60,000\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eReview the backlog value every \u003cstrong\u003eMonday morning\u003c\/strong\u003e, not just at month-end.\u003c\/li\u003e\n\u003cli\u003eSegment the backlog by \u003cstrong\u003eproduct line\u003c\/strong\u003e to spot demand imbalances early.\u003c\/li\u003e\n\u003cli\u003eIf backlog value grows faster than your delivery rate, capacity is the next constraint.\u003c\/li\u003e\n\u003cli\u003eUse the \u003cstrong\u003e2-month target\u003c\/strong\u003e as a trigger to start vetting new production staff.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e \u003ch2\u003eKPI 2\n: \u003cspan style=\"color: #126CFF;\"\u003eManufacturing Cycle Time (MCT)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eManufacturing Cycle Time (MCT) shows the total time an order spends in production, from when work starts until it's ready to ship. For your build-to-order model, MCT is critical because faster cycles mean quicker revenue recognition and better cash flow, especially when you have heavy upfront CapEx like that \u003cstrong\u003e$250k CNC\u003c\/strong\u003e machine. It's the clock measuring how efficiently you turn a confirmed order into cash in the bank, and you defintely need to watch it daily.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003ePinpoints non-value-added time, like waiting or moving materials.\u003c\/li\u003e\n\u003cli\u003eDirectly supports a lower Working Capital Cycle (WCC) goal.\u003c\/li\u003e\n\u003cli\u003eFaster fulfillment helps maintain your target \u003cstrong\u003e\u0026gt;98%\u003c\/strong\u003e On-Time Delivery (OTD) Rate.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eMeasuring Queue Time accurately can be tough without good tracking systems.\u003c\/li\u003e\n\u003cli\u003eFocusing only on speed might cause First Pass Yield (FPY) to drop below \u003cstrong\u003e95%\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eA low benchmark might be impossible if product complexity varies widely.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor complex, bespoke items, industry leaders aim for an MCT under \u003cstrong\u003e10 days\u003c\/strong\u003e total. Since your model relies on customization, your benchmark should be aggressive to maximize throughput against your \u003cstrong\u003e$24,000\/month\u003c\/strong\u003e fixed overhead. If you can consistently beat 10 days, you create a significant competitive edge over traditional manufacturers.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAggressively reduce Move Time by optimizing shop floor layout.\u003c\/li\u003e\n\u003cli\u003eImplement automated quality checks to lower Inspection Time without hurting FPY.\u003c\/li\u003e\n\u003cli\u003eStandardize setup procedures to cut Queue Time between processing steps.\u003c\/li\u003e\n\u003cli\u003eEnsure raw material availability matches Order Backlog Value projections.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eMCT is the sum of the four main time components required to complete one unit or batch. You need accurate time stamps for when work starts, when it moves, when it's checked, and when it waits.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nMCT = Process Time + Inspection Time + Move Time + Queue Time\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay you are building a specialized electronic component that requires significant machining time. We track the total time spent actively working (Process Time) at \u003cstrong\u003e5 days\u003c\/strong\u003e, quality checks take \u003cstrong\u003e1 day\u003c\/strong\u003e, moving the item between stations takes \u003cstrong\u003e0.5 days\u003c\/strong\u003e, and it sat waiting for the next machine for \u003cstrong\u003e2.5 days\u003c\/strong\u003e (Queue Time).\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nMCT = 5 days (Process) + 1 day (Inspection) + 0.5 days (Move) + 2.5 days (Queue) = 9.0 days\n\u003c\/div\u003e\n\u003cp\u003eThis result of \u003cstrong\u003e9.0 days\u003c\/strong\u003e is well within the target for complex items, showing good control over non-value-added time.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack MCT daily, segmenting by the four components separately.\u003c\/li\u003e\n\u003cli\u003eBenchmark Queue Time against Process Time; it shouldn't exceed \u003cstrong\u003e30%\u003c\/strong\u003e of process time.\u003c\/li\u003e\n\u003cli\u003eIf MCT increases, immediately check if it correlates with a drop in OTD or FPY.\u003c\/li\u003e\n\u003cli\u003eUse MCT data to justify labor scaling decisions for Revenue Per Employee (RPE) goals.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 3\n: \u003cspan style=\"color: #126CFF;\"\u003eGross Margin Percentage (GM%)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eGross Margin Percentage (GM%) shows the profit left after paying for the direct costs of making your product. It's the first test of your unit economics. For your build-to-order service, this number must be high enough to cover your \u003cstrong\u003e$24,000\u003c\/strong\u003e monthly fixed overhead before you even look at sales or admin costs.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eShows pricing power on specific production runs.\u003c\/li\u003e\n\u003cli\u003eDirectly measures efficiency of material use and labor.\u003c\/li\u003e\n\u003cli\u003eValidates if the zero-inventory model improves capital efficiency.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIgnores all overhead, including your \u003cstrong\u003e$24,000\u003c\/strong\u003e fixed costs.\u003c\/li\u003e\n\u003cli\u003eCan mask poor operational efficiency if material costs are low.\u003c\/li\u003e\n\u003cli\u003eDoesn't reflect customer acquisition costs or scaling issues.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor specialized, high-customization manufacturing, margins need to be robust to cover high setup costs and potential rework. You should aim significantly higher than standard commodity production. If you are targeting \u003cstrong\u003e\u0026gt;40%\u003c\/strong\u003e, you are positioning yourself well above average for lean operations, but this is necessary given your cost structure.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eReduce Manufacturing Cycle Time (MCT) to lower direct labor costs.\u003c\/li\u003e\n\u003cli\u003eNegotiate better material pricing based on confirmed order volume.\u003c\/li\u003e\n\u003cli\u003eReview pricing quarterly to offset rising variable fees, especially toward \u003cstrong\u003e2026\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate Gross Margin Percentage by taking your revenue, subtracting the total Cost of Goods Sold (COGS), and dividing that result by the revenue itself. This must be done monthly.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nGM% = (Revenue - Total COGS) \/ Revenue\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay your total revenue for January was \u003cstrong\u003e$150,000\u003c\/strong\u003e, and your direct costs (materials, direct labor, machine depreciation) totaled \u003cstrong\u003e$82,500\u003c\/strong\u003e. Your margin must cover the \u003cstrong\u003e$24,000\u003c\/strong\u003e fixed overhead. Here's the math:\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nGM% = ($150,000 - $82,500) \/ $150,000 = 0.45 or \u003cstrong\u003e45%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eA \u003cstrong\u003e45%\u003c\/strong\u003e margin is strong, but you must track it monthly to ensure it stays above the level needed to cover fixed costs plus variable fees.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack GM% against the \u003cstrong\u003e$24,000\u003c\/strong\u003e monthly fixed cost requirement first.\u003c\/li\u003e\n\u003cli\u003eSegment margin by product line to find which items drive the \u003cstrong\u003e\u0026gt;40%\u003c\/strong\u003e target.\u003c\/li\u003e\n\u003cli\u003eIf variable fees hit \u003cstrong\u003e99%\u003c\/strong\u003e in 2026, your COGS calculation needs immediate repricing review.\u003c\/li\u003e\n\u003cli\u003eIf First Pass Yield (FPY) drops, you will defintely see GM% suffer quickly.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 4\n: \u003cspan style=\"color: #126CFF;\"\u003eFirst Pass Yield (FPY)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFirst Pass Yield (FPY) measures the percentage of items that pass quality inspection the very first time, needing zero rework. For your made-to-order operation, this metric is your direct link to minimizing waste, which is key since you promised zero inventory. You must track FPY daily or weekly to ensure labor and materials aren't wasted fixing errors on jobs that already have committed revenue.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eDirectly reduces scrap costs on high-value custom builds.\u003c\/li\u003e\n\u003cli\u003eImproves labor efficiency by cutting non-value-added rework time.\u003c\/li\u003e\n\u003cli\u003eStrengthens On-Time Delivery (OTD) Rate reliability.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eCan mask process instability if inspection is too slow.\u003c\/li\u003e\n\u003cli\u003eMay pressure teams to rush setup, causing future failures.\u003c\/li\u003e\n\u003cli\u003eDoesn't account for the cost of the initial scrap material itself.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor specialized, build-to-order environments, you should be pushing for an FPY above \u003cstrong\u003e95%\u003c\/strong\u003e to keep your contribution margin healthy. If you are building complex items like specialized electronics, hitting \u003cstrong\u003e93%\u003c\/strong\u003e might be a realistic starting point. Anything consistently below \u003cstrong\u003e90%\u003c\/strong\u003e means you are losing too much money to internal inefficiencies, which eats into the margin needed to cover your \u003cstrong\u003e$24,000\/month\u003c\/strong\u003e fixed overhead.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eStandardize tooling setup sheets for every product variant.\u003c\/li\u003e\n\u003cli\u003eImplement mandatory quality checkpoints before major process steps.\u003c\/li\u003e\n\u003cli\u003eCross-train operators on inspection routines for better self-correction.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFPY is simple division: take the total good units and divide them by the total units you put into the process. This tells you the efficiency of your production steps before quality control steps in to fix things. You want this number high because rework is pure waste in a zero-inventory model.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nFPY = (Total Units Started - Reworked Units) \/ Total Units Started\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay your shop floor starts \u003cstrong\u003e250\u003c\/strong\u003e components for customer orders on Tuesday. After the first quality check, inspectors flag \u003cstrong\u003e10\u003c\/strong\u003e of those units as needing immediate adjustment or repair. To find the FPY, you subtract the 10 bad units from the 250 started.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nFPY = (250 - 10) \/ 250 = 0.96 or \u003cstrong\u003e96%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eThis means \u003cstrong\u003e96%\u003c\/strong\u003e of the work done was correct the first time, which is a solid result for a complex manufacturing environment.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack FPY by individual machine or work cell, not just overall.\u003c\/li\u003e\n\u003cli\u003eDefine rework clearly; if it takes more than \u003cstrong\u003e5 minutes\u003c\/strong\u003e, count it as a failure.\u003c\/li\u003e\n\u003cli\u003eReview FPY failures defintely within \u003cstrong\u003e48 hours\u003c\/strong\u003e to stop repeat errors.\u003c\/li\u003e\n\u003cli\u003eUse FPY data to justify capital expenditure on better machinery.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 5\n: \u003cspan style=\"color: #126CFF;\"\u003eWorking Capital Cycle (WCC)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eThe Working Capital Cycle (WCC) tells you how many days your cash is tied up in operations-from buying raw materials to collecting payment. Since you're sinking \u003cstrong\u003e$250k\u003c\/strong\u003e into that Computer Numerical Control (CNC) machine right away, minimizing this cycle is non-negotiable. You need that cash back fast.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eMeasures capital efficiency right after heavy \u003cstrong\u003e$250k\u003c\/strong\u003e spending.\u003c\/li\u003e\n\u003cli\u003eQuantifies the benefit of zero-inventory production (low DIO).\u003c\/li\u003e\n\u003cli\u003eShows how effectively you manage supplier payment terms (DPO).\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIt hides operational delays if Manufacturing Cycle Time (MCT) is long.\u003c\/li\u003e\n\u003cli\u003eA short cycle won't help if Days Sales Outstanding (DSO) is too high.\u003c\/li\u003e\n\u003cli\u003eIt doesn't capture the initial cash drain from the \u003cstrong\u003e$250k\u003c\/strong\u003e asset purchase itself.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eTraditional manufacturing often sees cycles over \u003cstrong\u003e60 days\u003c\/strong\u003e due to inventory storage and slow turnover. Because you eliminate inventory holding, your target WCC should be significantly lower, ideally under \u003cstrong\u003e30 days\u003c\/strong\u003e. This aggressive target directly supports paying down the initial investment tied to the CNC equipment.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIncentivize customers to pay faster to shrink DSO.\u003c\/li\u003e\n\u003cli\u003eNegotiate longer payment terms with raw material suppliers to boost DPO.\u003c\/li\u003e\n\u003cli\u003eKeep Manufacturing Cycle Time (MCT) low; finished goods waiting is wasted time.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate the WCC by adding the time inventory sits (DIO) and the time you wait for payment (DSO), then subtracting the time you take to pay suppliers (DPO). Since you build-to-order, your DIO should be very low, close to just the time raw materials sit before production starts.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nWCC = DIO + DSO - DPO\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eLet's look at a typical month where raw materials sit for \u003cstrong\u003e5 days\u003c\/strong\u003e (DIO), customers take \u003cstrong\u003e35 days\u003c\/strong\u003e to pay invoices (DSO), but you manage to pay your material vendors in \u003cstrong\u003e20 days\u003c\/strong\u003e (DPO). The cycle is tight, but you still need to cover the gap.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nWCC = 5 (DIO) + 35 (DSO) - 20 (DPO) = \u003cstrong\u003e20 Days\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eThis means cash is tied up for 20 days before it cycles back in, which is manageable but needs constant watching given the \u003cstrong\u003e$250k\u003c\/strong\u003e machine cost.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack DIO weekly to ensure raw materials don't pile up unexpectedly.\u003c\/li\u003e\n\u003cli\u003eInvoice immediately upon shipment; every day waiting increases DSO.\u003c\/li\u003e\n\u003cli\u003eReview DPO monthly against supplier contracts; try to extend terms defintely.\u003c\/li\u003e\n\u003cli\u003eMap WCC against the debt service schedule for the \u003cstrong\u003e$250k\u003c\/strong\u003e CapEx.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 6\n: \u003cspan style=\"color: #126CFF;\"\u003eRevenue Per Employee (RPE)\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eRevenue Per Employee (RPE) is the total revenue generated for every full-time equivalent (FTE) staff member. You track this quarterly to confirm that hiring keeps pace efficiently with sales growth. It's a crucial measure of operational leverage, especially as you scale from Year 1 projected revenue of \u003cstrong\u003e$1,775M\u003c\/strong\u003e toward Year 5's \u003cstrong\u003e$18,705M\u003c\/strong\u003e. You need continuous improvement here.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eShows labor efficiency gains over time.\u003c\/li\u003e\n\u003cli\u003eHighlights when hiring outpaces revenue growth.\u003c\/li\u003e\n\u003cli\u003eJustifies technology investments over headcount additions.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIgnores revenue quality (e.g., low-margin jobs).\u003c\/li\u003e\n\u003cli\u003eCan penalize necessary upfront hiring (e.g., R\u0026amp;D).\u003c\/li\u003e\n\u003cli\u003eDoesn't account for outsourcing or contractor usage.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor custom, build-to-order manufacturing, RPE varies widely based on automation levels. High-automation shops might see RPE exceeding $500,000, while highly manual, bespoke operations might sit closer to $250,000. Tracking your RPE against these benchmarks shows if your capital investment in machinery is actually improving output per person.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAutomate repetitive tasks in the production queue.\u003c\/li\u003e\n\u003cli\u003eIncrease Average Order Value through premium customization tiers.\u003c\/li\u003e\n\u003cli\u003eReduce Manufacturing Cycle Time to process more orders per FTE.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nRPE = Total Revenue \/ Total FTEs\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eLet's look at Year 1 performance based on your projections. If total revenue hits \u003cstrong\u003e$1,775,000,000\u003c\/strong\u003e and you maintain \u003cstrong\u003e1,000\u003c\/strong\u003e full-time employees, your RPE is calculated by dividing the total revenue by the headcount. This metric helps you see if you're getting more output from your team as you grow.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nRPE = $1,775,000,000 \/ 1,000 FTEs = $1,775,000 per FTE\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack RPE monthly during initial ramp-up phases.\u003c\/li\u003e\n\u003cli\u003eSegment RPE by department (e.g., Sales vs. Production).\u003c\/li\u003e\n\u003cli\u003eBenchmark against your own prior quarter's performance.\u003c\/li\u003e\n\u003cli\u003eIf RPE drops, immediately review hiring plans and process bottlenecks; it's defintely a warning sign.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 7\n: \u003cspan style=\"color: #126CFF;\"\u003eOn-Time Delivery (OTD) Rate\n\u003c\/span\u003e\n\u003c\/h2\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-intro-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDefinition\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eOn-Time Delivery (OTD) measures how often you ship or deliver goods by the date you promised the customer. For a build-to-order service, this metric directly reflects your operational reliability and commitment to the quoted lead time. Hit this target consistently to keep customers coming back.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-plus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eAdvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eKeeps customer trust high, vital for repeat orders.\u003c\/li\u003e\n\u003cli\u003eLowers costs from rush shipping or overtime labor.\u003c\/li\u003e\n\u003cli\u003eSignals operational stability to partners and designers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-minus-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eDisadvantages\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eMay encourage setting overly conservative delivery dates.\u003c\/li\u003e\n\u003cli\u003eCan mask underlying inefficiencies like long Manufacturing Cycle Time.\u003c\/li\u003e\n\u003cli\u003eDoesn't measure product quality (First Pass Yield is separate).\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"container_2_clmn_row\"\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-colons-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eIndustry Benchmarks\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eFor high-touch, custom manufacturing, anything below \u003cstrong\u003e95%\u003c\/strong\u003e is a serious red flag, signaling systemic scheduling problems. Since your model relies on promising delivery based on production slots, aiming for \u003cstrong\u003e\u0026gt;98%\u003c\/strong\u003e is the standard for building long-term client relationships. If you consistently miss \u003cstrong\u003e98%\u003c\/strong\u003e, expect customer acquisition costs to rise sharply.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-rocket-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Improve\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eIntegrate real-time Manufacturing Cycle Time (MCT) into scheduling.\u003c\/li\u003e\n\u003cli\u003eBuild a small buffer into capacity planning, maybe \u003cstrong\u003e5%\u003c\/strong\u003e extra slot time.\u003c\/li\u003e\n\u003cli\u003eTighten raw material sourcing lead times to prevent input delays.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl blue_card\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eHow To Calculate\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eYou calculate OTD by dividing the number of orders that met their promised delivery date by the total number of orders shipped in that period. This is a simple ratio that shows operational discipline.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nOTD Rate = (Orders delivered by promised date) \/ (Total orders delivered)\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cbr\u003e\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-how-calc-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eExample of Calculation\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cp\u003eSay you fulfilled \u003cstrong\u003e500\u003c\/strong\u003e customer orders last month. You check your records and find that \u003cstrong\u003e490\u003c\/strong\u003e of those arrived exactly when promised. Here's the quick math to see where you stand against the target.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nOTD Rate = 490 \/ 500 = 0.980 or \u003cstrong\u003e98.0%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eIn this example, you hit the target exactly. If you had only delivered 485 on time, your rate would be \u003cstrong\u003e97.0%\u003c\/strong\u003e, signaling a need to investigate the \u003cstrong\u003e15\u003c\/strong\u003e late orders.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003cdiv class=\"card_smpl\"\u003e\n\u003cdiv class=\"card_smpl_header\"\u003e\n\u003cimg src=\"\/cdn\/shop\/files\/fml_20_fml-20-blog-tips-icon.svg\" alt=\"Icon\" class=\"icon_how_to_use\"\u003e\n\u003ch3\u003eTips and Trics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack this metric \u003cstrong\u003eweekly\u003c\/strong\u003e, not just monthly.\u003c\/li\u003e\n\u003cli\u003eSegment results by customer segment or product complexity.\u003c\/li\u003e\n\u003cli\u003eEnsure promised dates reflect current Manufacturing Cycle Time.\u003c\/li\u003e\n\u003cli\u003eIf OTD drops below \u003cstrong\u003e98%\u003c\/strong\u003e, review capacity allocation defintely.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e","brand":"FinancialModelsLab","offers":[{"title":"Default Title","offer_id":49303807099123,"sku":"build-to-order-kpi-metrics","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/6191\/2762\/files\/build-to-order-kpi-metrics.webp?v=1782677541","url":"https:\/\/financialmodelslab.com\/products\/build-to-order-kpi-metrics","provider":"Financial Models Lab","version":"1.0","type":"link"}