{"product_id":"binder-jetting-3d-printing-kpi-metrics","title":"What Five Core KPIs Should Binder Jetting 3D Printing Service Business Track?","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 Binder Jetting 3D Printing Service\u003c\/h2\u003e\n\u003cp\u003eScaling a Binder Jetting 3D Printing Service requires tight control over utilization and cost-of-goods sold (COGS) We mapped 7 essential Key Performance Indicators (KPIs) to guide your growth through 2030 Focus immediately on achieving a Gross Margin above \u003cstrong\u003e55%\u003c\/strong\u003e, driven by efficient material usage and machine throughput Your initial capital expenditure (CAPEX) is high-over \u003cstrong\u003e$21 million\u003c\/strong\u003e in 2026-so tracking Months to Payback (target 22 months) is crucial Review utilization rates daily and financial metrics monthly By 2028, revenue must exceed \u003cstrong\u003e$108 million\u003c\/strong\u003e to support the planned staff expansion, moving the EBITDA margin toward \u003cstrong\u003e50%\u003c\/strong\u003e Use these metrics to manage complex production variables like powder density and sintering overhead, turning high fixed costs into predictable profitability\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\u003eBinder Jetting 3D Printing Service\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\u003eGross Margin %\u003c\/td\u003e\n\u003ctd\u003eProfitability Ratio\u003c\/td\u003e\n\u003ctd\u003eTarget above 55% given the high indirect COGS (265% of revenue). You've got to nail this core manufacturing profit.\u003c\/td\u003e\n\u003ctd\u003eMonthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003eMachine Utilization\u003c\/td\u003e\n\u003ctd\u003eEfficiency Ratio\u003c\/td\u003e\n\u003ctd\u003eAim for consistent utilization above 75% on the $850k Industrial Metal Binder Jetting System. Idle iron costs you plenty.\u003c\/td\u003e\n\u003ctd\u003eWeekly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003eRevenue Per FTE\u003c\/td\u003e\n\u003ctd\u003eProductivity Metric\u003c\/td\u003e\n\u003ctd\u003eMaintain ~$493,000 starting in 2026 as FTEs scale toward 24 by 2030. Labor productivity can't slip.\u003c\/td\u003e\n\u003ctd\u003eQuarterly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003eCost Per Unit (CPU)\u003c\/td\u003e\n\u003ctd\u003eCost Control\u003c\/td\u003e\n\u003ctd\u003eCPU must decrease annually, especially for materials like Superalloy Powder ($7500\/unit for Turbine Blades). Scale must drive costs down.\u003c\/td\u003e\n\u003ctd\u003eMonthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003eEBITDA Margin %\u003c\/td\u003e\n\u003ctd\u003eOperating Margin\u003c\/td\u003e\n\u003ctd\u003eModel projects rapid growth from 3676% in 2026 to 588% by 2030. That's a huge swing in operating leverage.\u003c\/td\u003e\n\u003ctd\u003eQuarterly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003eCash Conversion Cycle\u003c\/td\u003e\n\u003ctd\u003eLiquidity Metric\u003c\/td\u003e\n\u003ctd\u003eMinimize this cycle since the business hits a minimum cash point of -$368k in June 2026. Cash is king when you're burning.\u003c\/td\u003e\n\u003ctd\u003eMonthly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003ctd\u003eProduction Yield Rate\u003c\/td\u003e\n\u003ctd\u003eQuality Metric\u003c\/td\u003e\n\u003ctd\u003eTrack daily; low yield directly impacts Gross Margin due to high material costs; track defintely daily. Waste here is expensive waste.\u003c\/td\u003e\n\u003ctd\u003eDaily\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 we measure the quality and sustainability of revenue growth?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eMeasuring revenue quality for your Binder Jetting 3D Printing Service means looking past the growth rate to see how efficiently you acquire customers and how spread out your sales are. Sustainable growth requires a high Average Deal Size relative to your Customer Acquisition Cost, which is why understanding the levers to improve margins is key; you can read more about \u003ca href=\"\/blogs\/profitability\/binder-jetting-3d-printing\"\u003eHow Increase Profits Binder Jetting 3D Printing Service?\u003c\/a\u003e here.\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\u003eGrowth Rate vs. Cost\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTarget a \u003cstrong\u003e40% YoY\u003c\/strong\u003e revenue growth rate, but check the payback period on CAC.\u003c\/li\u003e\n\u003cli\u003eIf your Customer Acquisition Cost (CAC) is \u003cstrong\u003e$15,000\u003c\/strong\u003e, you need quick repeat business.\u003c\/li\u003e\n\u003cli\u003eYour Average Deal Size (ADS) must significantly outpace CAC for healthy scaling.\u003c\/li\u003e\n\u003cli\u003eA good rule is aiming for an ADS at least \u003cstrong\u003e3x\u003c\/strong\u003e the CAC to cover sales costs.\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\u003eConcentration Risk Check\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eRevenue concentration risk shows dependency on few clients or product lines.\u003c\/li\u003e\n\u003cli\u003eIf the top \u003cstrong\u003e3\u003c\/strong\u003e customers drive \u003cstrong\u003e35%\u003c\/strong\u003e of total revenue, that's a major risk factor.\u003c\/li\u003e\n\u003cli\u003eDiversify by targeting aerospace, automotive, and industrial machinery equally.\u003c\/li\u003e\n\u003cli\u003eIf one major automotive contract ends, your growth stalls defintely.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWhat are the true unit economics and gross margin targets for each product line?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eThe primary goal for the Binder Jetting 3D Printing Service is achieving a \u003cstrong\u003e55%+ gross margin\u003c\/strong\u003e, which means your Cost of Goods Sold (COGS) needs to stay under 45% of the selling price; for a deeper dive into startup costs associated with this technology, check out \u003ca href=\"\/blogs\/startup-costs\/binder-jetting-3d-printing\"\u003eHow Much To Start Binder Jetting 3D Printing Service Business?\u003c\/a\u003e You defintely need to know where every dollar in COGS is going to hit that target.\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\u003eHitting the 55% Gross Margin Target\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTarget gross margin (GM) should be \u003cstrong\u003e58%\u003c\/strong\u003e or higher.\u003c\/li\u003e\n\u003cli\u003eThis means total COGS must stay under \u003cstrong\u003e42%\u003c\/strong\u003e of the selling price.\u003c\/li\u003e\n\u003cli\u003eMaterials, like metal powder and binding agent, typically consume \u003cstrong\u003e60%\u003c\/strong\u003e of COGS.\u003c\/li\u003e\n\u003cli\u003eLabor, especially complex post-processing and finishing, takes the remaining \u003cstrong\u003e40%\u003c\/strong\u003e.\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\u003eContribution Margin and Pricing Levers\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eOn a $1,500 average job, contribution margin is \u003cstrong\u003e$870\u003c\/strong\u003e per unit.\u003c\/li\u003e\n\u003cli\u003eWatch pricing elasticity; low-volume prototype jobs command higher per-unit prices.\u003c\/li\u003e\n\u003cli\u003eVolume discounts are necessary, but never let the price drop below the \u003cstrong\u003e55%\u003c\/strong\u003e GM floor.\u003c\/li\u003e\n\u003cli\u003eFocus on increasing job density within existing customer accounts to boost contribution.\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;\"\u003eHow efficiently are we utilizing high-cost capital assets and labor?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eYour Binder Jetting 3D Printing Service's profitability hinges on maximizing machine uptime and minimizing scrap, which directly impacts how much the owner makes, as detailed in \u003ca href=\"\/blogs\/how-much-makes\/binder-jetting-3d-printing\"\u003eHow Much Does Owner Make From Binder Jetting 3D Printing Service?\u003c\/a\u003e. Efficiency here isn't just about speed; it's about covering the high fixed costs associated with your specialized capital assets.\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\u003eAsset Utilization Levers\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTarget machine utilization above \u003cstrong\u003e75%\u003c\/strong\u003e monthly to absorb fixed overhead.\u003c\/li\u003e\n\u003cli\u003eYield rate must exceed \u003cstrong\u003e90%\u003c\/strong\u003e to control cost of goods sold.\u003c\/li\u003e\n\u003cli\u003eScrap parts mean lost machine time and material expense; defintely track this.\u003c\/li\u003e\n\u003cli\u003eIf yield drops to 85%, effective material cost rises by \u003cstrong\u003e~6%\u003c\/strong\u003e per unit.\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\u003eLabor and Material Flow\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eAim for \u003cstrong\u003e$450,000\u003c\/strong\u003e revenue per Full-Time Equivalent (FTE) annually.\u003c\/li\u003e\n\u003cli\u003eHigh-value powder inventory needs fast turnover, target \u003cstrong\u003e10x\u003c\/strong\u003e annually.\u003c\/li\u003e\n\u003cli\u003eOperators should focus on setup reduction, not just continuous run time.\u003c\/li\u003e\n\u003cli\u003ePoor scheduling forces overtime, spiking the labor efficiency ratio unexpectedly.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003e\u003cspan style=\"color: #126CFF;\"\u003eWhich customer metrics predict future retention and expansion revenue?\n\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eFor your Binder Jetting 3D Printing Service, future retention and expansion revenue hinge on operational metrics that prove you solve the core problem of slow, expensive tooling; specifically, \u003cstrong\u003eRepeat Order Frequency\u003c\/strong\u003e and \u003cstrong\u003eTime-to-Delivery Performance\u003c\/strong\u003e are your leading indicators for increasing Customer Lifetime Value (CLV), which you can explore further in \u003ca href=\"\/blogs\/profitability\/binder-jetting-3d-printing\"\u003eHow Increase Profits Binder Jetting 3D Printing Service?\u003c\/a\u003e\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\u003eOperational Excellence Drivers\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTime-to-delivery performance proves speed advantage.\u003c\/li\u003e\n\u003cli\u003eLow rejection rates confirm Quality Acceptance Rate.\u003c\/li\u003e\n\u003cli\u003eIf delivery slips past \u003cstrong\u003e7 days\u003c\/strong\u003e, churn risk rises defintely.\u003c\/li\u003e\n\u003cli\u003eTargeting under \u003cstrong\u003e48 hours\u003c\/strong\u003e for prototyping jobs.\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\u003eValue Capture Metrics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eRepeat Order Frequency shows customer stickiness.\u003c\/li\u003e\n\u003cli\u003eHigh Net Promoter Score (NPS) signals expansion potential.\u003c\/li\u003e\n\u003cli\u003eA \u003cstrong\u003e20%\u003c\/strong\u003e repeat order rate is a strong early benchmark.\u003c\/li\u003e\n\u003cli\u003eTrack NPS specifically after the first \u003cstrong\u003ethree\u003c\/strong\u003e successful shipments.\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\u003eAchieving a Gross Margin above 55% is the most critical financial target required to ensure profitability against high fixed overhead costs.\u003c\/li\u003e\n\n\u003cli\u003eOperational efficiency must prioritize a Machine Utilization Rate consistently above 75% to effectively spread the depreciation of high-CAPEX industrial assets.\u003c\/li\u003e\n\n\u003cli\u003eLabor productivity, tracked via Revenue Per FTE, must be maintained near $493,000 to support planned staffing growth while ensuring scalable operational leverage.\u003c\/li\u003e\n\n\u003cli\u003eGiven the initial capital outlay of over $21 million, minimizing the Months to Payback, targeted at 22 months, is crucial for long-term capital efficiency.\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;\"\u003eGross Margin %\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 shows the profitability locked inside your production line, measuring core manufacturing success. It tells you how much money is left after paying for the direct costs of making the part, which is critical when indirect costs are so high, running at \u003cstrong\u003e265% of revenue\u003c\/strong\u003e.\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 true production efficiency before overhead hits.\u003c\/li\u003e\n\u003cli\u003eGuides pricing strategy for new materials like powder.\u003c\/li\u003e\n\u003cli\u003eShows the immediate impact of poor \u003cstrong\u003eProduction Yield Rate\u003c\/strong\u003e.\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 fixed overhead costs entirely.\u003c\/li\u003e\n\u003cli\u003eCan be misleading if COGS definition shifts often.\u003c\/li\u003e\n\u003cli\u003eDoesn't reflect sales or administrative efficiency.\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 additive manufacturing, a target Gross Margin above \u003cstrong\u003e55%\u003c\/strong\u003e is necessary here. This high target exists because your indirect Cost of Goods Sold (COGS) runs high, projected at \u003cstrong\u003e265% of revenue\u003c\/strong\u003e in the model. You need strong margins just to cover those indirect production expenses.\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\u003eBoost \u003cstrong\u003eProduction Yield Rate\u003c\/strong\u003e to cut scrap powder costs.\u003c\/li\u003e\n\u003cli\u003eNegotiate better terms for high-cost inputs like \u003cstrong\u003e$7,500\/unit\u003c\/strong\u003e Superalloy Powder.\u003c\/li\u003e\n\u003cli\u003eIncrease order density to spread high indirect COGS across more units.\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\u003eCalculating this metric is straightforward, but understanding what goes into COGS is the hard part for binder jetting services. You must capture all direct material, direct labor, and the substantial indirect manufacturing costs.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n(Revenue - COGS) \/ Revenue\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 bill \u003cstrong\u003e$100,000\u003c\/strong\u003e in revenue for a batch of components, but your total direct and indirect manufacturing costs (COGS) total \u003cstrong\u003e$70,000\u003c\/strong\u003e. Your margin is too low for this business model. Here's the quick math:\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\n($100,000 Revenue - $70,000 COGS) \/ $100,000 Revenue = \u003cstrong\u003e30% Gross Margin\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eThis \u003cstrong\u003e30%\u003c\/strong\u003e result shows you are far short of the \u003cstrong\u003e55%\u003c\/strong\u003e target, meaning the \u003cstrong\u003e265%\u003c\/strong\u003e indirect cost load is crushing profitability.\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 COGS monthly, separating direct vs. indirect components.\u003c\/li\u003e\n\u003cli\u003eIf yield drops, expect Gross Margin to fall defintely that month.\u003c\/li\u003e\n\u003cli\u003eUse the \u003cstrong\u003e55%\u003c\/strong\u003e target as a hard floor for pricing reviews.\u003c\/li\u003e\n\u003cli\u003eWatch \u003cstrong\u003eMachine Utilization\u003c\/strong\u003e; low use inflates per-unit COGS.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e \u003ch2\u003eKPI 2\n: \u003cspan style=\"color: #126CFF;\"\u003eMachine Utilization\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\u003eMachine Utilization measures how hard your expensive equipment is working relative to its potential. For your service, this tracks the actual run time of the \u003cstrong\u003e$850k Industrial Metal Binder Jetting System\u003c\/strong\u003e against its total available capacity. If you don't keep this high-CAPEX asset busy, its cost crushes your margins 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\u003eEnsures you get maximum output from \u003cstrong\u003ehigh-CAPEX\u003c\/strong\u003e assets.\u003c\/li\u003e\n\u003cli\u003eDirectly links asset cost recovery to operational scheduling.\u003c\/li\u003e\n\u003cli\u003eHighlights scheduling gaps before they stall revenue growth.\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\u003eHigh utilization doesn't guarantee high profit if jobs are low-margin.\u003c\/li\u003e\n\u003cli\u003eIt ignores necessary setup or calibration time between production runs.\u003c\/li\u003e\n\u003cli\u003eCan pressure staff to rush complex jobs, hurting the \u003cstrong\u003eProduction Yield Rate\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 specialized additive manufacturing equipment, aiming for \u003cstrong\u003e75%\u003c\/strong\u003e utilization is the minimum target to justify the capital outlay. If you are consistently running below \u003cstrong\u003e60%\u003c\/strong\u003e, you likely have too much capacity or your job pipeline is too erratic. You must know your theoretical maximum uptime to judge performance fairly.\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\u003eImplement rigorous scheduling to minimize idle time between jobs.\u003c\/li\u003e\n\u003cli\u003eStandardize setup procedures to cut changeover time by \u003cstrong\u003e20%\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003ePrioritize high-margin jobs during peak available hours.\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 this by dividing the actual time the machine was actively processing parts by the total time it was available to process parts. This is a simple ratio of output versus potential.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nMachine Utilization = Actual Run Time \/ Total Capacity 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 tracking utilization for a full 30-day month, giving you \u003cstrong\u003e720\u003c\/strong\u003e available hours (24 hours\/day 30 days). If the system logged \u003cstrong\u003e540\u003c\/strong\u003e hours of actual printing time, here's the math.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nMachine Utilization = 540 Hours \/ 720 Hours = 0.75 or \u003cstrong\u003e75%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eThis result means you hit the target utilization exactly. If you only ran 432 hours, your utilization would be \u003cstrong\u003e60%\u003c\/strong\u003e, which is too low for this asset.\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 utilization data automatically via machine logs.\u003c\/li\u003e\n\u003cli\u003eFactor in planned downtime for calibration checks.\u003c\/li\u003e\n\u003cli\u003eIf utilization lags, aggressively seek smaller, faster jobs to fill gaps.\u003c\/li\u003e\n\u003cli\u003eReview setup procedures defintely every quarter for efficiency gains.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 3\n: \u003cspan style=\"color: #126CFF;\"\u003eRevenue Per FTE\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 FTE shows how much revenue each full-time employee generates. This metric is key for judging labor productivity as you scale operations. If this number drops, you're hiring faster than your revenue is growing, which kills profitability.\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 how effectively staff drives top-line growth.\u003c\/li\u003e\n\u003cli\u003eGuides hiring decisions against revenue targets.\u003c\/li\u003e\n\u003cli\u003eShows if automation investments are paying off.\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 the impact of high-cost machinery like the \u003cstrong\u003e$850k Industrial Metal Binder Jetting System\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eCan look good even if \u003cstrong\u003eMachine Utilization\u003c\/strong\u003e is low.\u003c\/li\u003e\n\u003cli\u003eDoesn't differentiate between high-value engineering roles and lower-value admin roles.\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 advanced manufacturing services, a starting point near \u003cstrong\u003e$500,000\u003c\/strong\u003e is excellent, reflecting high-value output per person. However, this benchmark varies wildly based on capital intensity. Since your business relies on expensive assets, you need to aim higher than traditional light assembly firms.\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\u003eIncrease \u003cstrong\u003eMachine Utilization\u003c\/strong\u003e above the 75% target.\u003c\/li\u003e\n\u003cli\u003eAutomate processes that currently require manual FTE time.\u003c\/li\u003e\n\u003cli\u003eEnsure new hires directly support revenue generation or efficiency gains.\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 this by taking your total revenue for a period and dividing it by the average number of employees working full-time during that same period. This gives you the revenue generated per person.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nRevenue Per FTE = Total Revenue \/ Total FTE Count\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\u003eTo see how this metric starts, let's look at the 2026 projection. If the business plans for \u003cstrong\u003e10 FTEs\u003c\/strong\u003e in 2026, the required revenue to hit the target is calculated first. This shows the required output level for your initial team size.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nRevenue Per FTE = $4,930,000 \/ 10 FTEs = \u003cstrong\u003e$493,000\u003c\/strong\u003e 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 this monthly, not just annually.\u003c\/li\u003e\n\u003cli\u003eTie hiring plans directly to utilization forecasts.\u003c\/li\u003e\n\u003cli\u003eWatch for drops if \u003cstrong\u003eCost Per Unit (CPU)\u003c\/strong\u003e isn't falling.\u003c\/li\u003e\n\u003cli\u003eIf FTEs grow but revenue stalls, investigate bottlenecks defintely fast.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 4\n: \u003cspan style=\"color: #126CFF;\"\u003eCost Per Unit (CPU)\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\u003eCost Per Unit (CPU) tells you the total expense required to manufacture a single finished product. This metric is your granular check on operational efficiency, showing exactly what it costs to deliver one component. For a service like this, CPU is dominated by material inputs, so controlling it directly impacts your Gross Margin.\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\u003eIsolates the impact of expensive raw materials, like Superalloy Powder.\u003c\/li\u003e\n\u003cli\u003eDirectly measures the success of achieving scale effects in production.\u003c\/li\u003e\n\u003cli\u003eForces granular cost control across labor, machine time, and materials.\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\u003eCPU can look good if you ignore high fixed overhead costs.\u003c\/li\u003e\n\u003cli\u003eIt hides waste if Production Yield Rate isn't tracked alongside it.\u003c\/li\u003e\n\u003cli\u003eAverages mask high costs for low-volume, complex initial runs.\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 additive manufacturing, benchmarks vary wildly based on material and complexity. What matters here isn't a universal number, but the trend. Your CPU must show a clear, measurable decrease year-over-year as you increase volume. If CPU is flat or rising, your scale strategy isn't working.\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\u003eSecure volume discounts on Superalloy Powder purchases.\u003c\/li\u003e\n\u003cli\u003eAggressively improve Production Yield Rate to cut material scrap.\u003c\/li\u003e\n\u003cli\u003eOptimize job scheduling to keep Machine Utilization above \u003cstrong\u003e75%\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\u003eCPU is found by taking all costs associated with production-materials, direct labor, and allocated overhead-and dividing that total by the number of good units you shipped. This is your total Cost of Goods Sold (COGS) divided by the total volume produced.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nCPU = Total Unit COGS \/ Total Units Produced\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 run a batch of Turbine Blades. The raw material cost alone for the Superalloy Powder is \u003cstrong\u003e$7,500\u003c\/strong\u003e per unit. If your total allocated COGS (including powder, binder, labor, and machine depreciation) comes out to \u003cstrong\u003e$9,500\u003c\/strong\u003e per unit, that's your CPU. If you only made one unit, your CPU is $9,500. If you make 1,000 units and the total COGS is $9.5 million, the CPU is still $9,500, but scale effects should drive that number down next year.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nExample CPU = $9,500 (Total COGS) \/ 1 (Unit Volume) = $9,500\/Unit\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 material cost variance against the \u003cstrong\u003e$7,500\u003c\/strong\u003e target weekly.\u003c\/li\u003e\n\u003cli\u003eEnsure overhead allocation scales properly with Machine Utilization.\u003c\/li\u003e\n\u003cli\u003eSet an aggressive annual CPU reduction target, say \u003cstrong\u003e4%\u003c\/strong\u003e YoY.\u003c\/li\u003e\n\u003cli\u003eReview CPU defintely by specific part family, not just the overall average.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 5\n: \u003cspan style=\"color: #126CFF;\"\u003eEBITDA Margin %\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\u003eEBITDA Margin % shows your overall operating efficiency before accounting for interest payments, taxes, depreciation, and amortization (EBITDA). It tells you how much cash profit the core manufacturing process generates per dollar of sales. This metric is key because it isolates the performance of your production floor and overhead structure from financing decisions or tax strategy.\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 efficiency independent of capital structure.\u003c\/li\u003e\n\u003cli\u003eShows how well overhead is managed relative to revenue.\u003c\/li\u003e\n\u003cli\u003eHighlights operational leverage as volume increases.\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 necessary capital expenditures like the $850k machine.\u003c\/li\u003e\n\u003cli\u003eDoes not reflect actual cash flow available for debt service.\u003c\/li\u003e\n\u003cli\u003eCan mask poor working capital management, like the June 2026 cash crunch.\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 additive manufacturing, achieving a positive EBITDA Margin is the first hurdle; given the high indirect COGS (265% of revenue), this is tough early on. Once you hit scale and maintain high Machine Utilization above \u003cstrong\u003e75%\u003c\/strong\u003e, margins should climb steadily. Companies in this space often aim for \u003cstrong\u003e15%\u003c\/strong\u003e or higher once fixed costs are absorbed by volume.\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 increase Machine Utilization above \u003cstrong\u003e75%\u003c\/strong\u003e capacity.\u003c\/li\u003e\n\u003cli\u003eFocus on reducing Cost Per Unit (CPU) through process refinement.\u003c\/li\u003e\n\u003cli\u003eEnsure Gross Margin improvements flow directly to the bottom line.\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\u003eTo find this metric, you take your earnings before interest, taxes, depreciation, and amortization and divide that number by your total sales revenue. This calculation strips away non-operating and non-cash items to show pure operational profitability.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nEBITDA Margin % = (EBITDA \/ Revenue) x 100\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\u003eThe model projects massive operational leverage kicking in quickly. If you had $1 million in revenue in 2026, the projected EBITDA Margin of \u003cstrong\u003e3676%\u003c\/strong\u003e implies an EBITDA of $36.76 million. By 2030, if revenue hits $5 million, the \u003cstrong\u003e588%\u003c\/strong\u003e margin implies $29.4 million in EBITDA. What this estimate hides is the massive revenue base required to support those margin percentages.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nExample 2026: EBITDA Margin % = ($36,760,000 \/ $1,000,000) x 100 = \u003cstrong\u003e3676%\u003c\/strong\u003e\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 T\nrics\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cul class=\"lst_crct_blog\"\u003e\n\u003cli\u003eTrack EBITDA monthly against the \u003cstrong\u003e2030\u003c\/strong\u003e target.\u003c\/li\u003e\n\u003cli\u003eWatch fixed overhead creep as FTEs scale toward \u003cstrong\u003e24\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eEnsure high Gross Margin translates to EBITDA gains.\u003c\/li\u003e\n\u003cli\u003eReview the impact of interest expense if financing the $850k system.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 6\n: \u003cspan style=\"color: #126CFF;\"\u003eCash Conversion Cycle\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 Cash Conversion Cycle (CCC) shows the days it takes to convert your investment in raw materials-here, the metal powder-into actual cash in the bank. It's a key measure of working capital efficiency. If this cycle drags, you burn cash waiting for sales receipts.\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\u003eReduces the working capital drain needed to fund inventory holding periods.\u003c\/li\u003e\n\u003cli\u003eProvides immediate liquidity relief before the \u003cstrong\u003eJune 2026\u003c\/strong\u003e cash trough of \u003cstrong\u003e-$368k\u003c\/strong\u003e.\u003c\/li\u003e\n\u003cli\u003eSpeeds up the time to reinvest cash into production capacity or cover operating shortfalls.\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\u003eAggressive collection terms can strain relationships with key material suppliers.\u003c\/li\u003e\n\u003cli\u003eIncentivizing fast payment might force discounts, hurting the target \u003cstrong\u003e55%\u003c\/strong\u003e Gross Margin.\u003c\/li\u003e\n\u003cli\u003eRushing the process might increase scrap rates, hurting the \u003cstrong\u003eProduction Yield Rate\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 complex manufacturing, a good CCC is often under 45 days. For additive manufacturing, where raw material costs like \u003cstrong\u003e$7,500\/unit\u003c\/strong\u003e for Turbine Blades are high, minimizing inventory days is paramount. A long cycle means cash sits idle waiting for the final part to ship and get paid for.\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\u003eIncrease \u003cstrong\u003eMachine Utilization\u003c\/strong\u003e above \u003cstrong\u003e75%\u003c\/strong\u003e to process existing powder inventory faster.\u003c\/li\u003e\n\u003cli\u003eNegotiate \u003cstrong\u003eNet 15\u003c\/strong\u003e payment terms with customers to cut Days Sales Outstanding.\u003c\/li\u003e\n\u003cli\u003eExtend payment terms with powder vendors to increase Days Payable Outstanding.\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\u003eThe CCC is the sum of the time you hold inventory and the time it takes to collect payment, minus the time you take to pay your suppliers. You need to track three components: Days Inventory Outstanding (DIO), Days Sales Outstanding (DSO), and Days Payable Outstanding (DPO).\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nCCC = DIO + DSO - DPO\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 powder sits for \u003cstrong\u003e45 days\u003c\/strong\u003e (DIO), and it takes customers \u003cstrong\u003e35 days\u003c\/strong\u003e to pay you after shipment (DSO). If you manage to get your powder suppliers to wait \u003cstrong\u003e30 days\u003c\/strong\u003e before payment (DPO), your cycle is relatively short.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nCCC = 45 Days (DIO) + 35 Days (DSO) - 30 Days (DPO) = 50 Days\n\u003c\/div\u003e\n\u003cp\u003eA \u003cstrong\u003e50-day\u003c\/strong\u003e cycle means cash is tied up for 50 days before you see it. You need to shrink this number fast to avoid that \u003cstrong\u003eJune 2026\u003c\/strong\u003e funding gap.\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 Days Inventory Outstanding (DIO) for \u003cstrong\u003eSuperalloy Powder\u003c\/strong\u003e separately.\u003c\/li\u003e\n\u003cli\u003eIncentivize upfront deposits to reduce initial cash outlay.\u003c\/li\u003e\n\u003cli\u003eReview customer contracts to ensure payment terms are aggressive, not standard Net 30.\u003c\/li\u003e\n\u003cli\u003eIf onboarding takes 14+ days, churn risk rises for new clients, slowing cash inflow.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\n\u003ch2\u003eKPI 7\n: \u003cspan style=\"color: #126CFF;\"\u003eProduction Yield 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\u003eProduction Yield Rate shows how many parts you successfully make versus how many you tried to make. It's your primary measure of manufacturing quality and waste control in the binder jetting process. Since material costs are high here, a low yield directly eats into your target \u003cstrong\u003eGross Margin of 55%\u003c\/strong\u003e.\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 process waste immediately.\u003c\/li\u003e\n\u003cli\u003eProtects recovery on high material costs.\u003c\/li\u003e\n\u003cli\u003eDrives daily quality improvement efforts.\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 hide underlying machine calibration issues.\u003c\/li\u003e\n\u003cli\u003eDoesn't account for scrap value recovery rates.\u003c\/li\u003e\n\u003cli\u003eFocusing only on yield might ignore throughput speed.\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 precision metal additive manufacturing, a good yield is often \u003cstrong\u003e90% or higher\u003c\/strong\u003e. If you're dealing with complex sand molds, yields might start lower, perhaps \u003cstrong\u003e80%\u003c\/strong\u003e, while high-volume metal parts should aim for \u003cstrong\u003e95%\u003c\/strong\u003e. Tracking this against industry peers shows if your \u003cstrong\u003e$850k Industrial Metal Binder Jetting System\u003c\/strong\u003e is running efficiently.\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\u003eCalibrate powder density settings weekly.\u003c\/li\u003e\n\u003cli\u003eImplement stricter pre-print part inspection protocols.\u003c\/li\u003e\n\u003cli\u003eReduce batch size variation in material loads.\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 measure yield by dividing the number of good parts that pass final inspection by the total number of parts you put into the machine to start the process.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nProduction Yield Rate = (Accepted Parts \/ Total Parts 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 you are running a batch of Turbine Blades where the Superalloy Powder cost is \u003cstrong\u003e$7,500 per unit\u003c\/strong\u003e. If you start 100 units but only 85 pass inspection, your yield is 85%.\u003c\/p\u003e\n\u003cdiv class=\"card_smpl_formula\"\u003e\nProduction Yield Rate = (85 Accepted Parts \/ 100 Total Parts Started) = \u003cstrong\u003e85%\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cp\u003eWhat this estimate hides is the immediate financial hit: losing those 15 parts means losing \u003cstrong\u003e$112,500\u003c\/strong\u003e in raw material cost right off the top.\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\u003eReview yield data before the morning production meeting.\u003c\/li\u003e\n\u003cli\u003eSegment yield by material type and specific machine.\u003c\/li\u003e\n\u003cli\u003eTie yield performance directly to operator incentives.\u003c\/li\u003e\n\u003cli\u003eIf yield drops below \u003cstrong\u003e88%\u003c\/strong\u003e, halt new job starts defintely.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003cbr\u003e","brand":"FinancialModelsLab","offers":[{"title":"Default Title","offer_id":49303756243187,"sku":"binder-jetting-3d-printing-kpi-metrics","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/6191\/2762\/files\/binder-jetting-3d-printing-kpi-metrics.webp?v=1782676600","url":"https:\/\/financialmodelslab.com\/products\/binder-jetting-3d-printing-kpi-metrics","provider":"Financial Models Lab","version":"1.0","type":"link"}