问题 › 我们不知道哪些产品赚钱 › 制造业
每家制造商都有一个产品，大家都假定它盈利，而它往往消耗最多机时却贡献最少。 对制造商而言更难的地方在于结构：$45M自动化案例依赖的正是造成利润问题的客户。因此任何可信的答案都必须同时考虑单位机时贡献和产能利用率，而这正是大多数内部分析停滞的地方，因为这两者存在于不同系统。
每家制造商都有一个产品，大家都假定它盈利，而它往往消耗最多机时却贡献最少。 对制造商而言更难的地方在于结构：$45M自动化案例依赖的正是造成利润问题的客户。因此任何可信的答案都必须同时考虑单位机时贡献和产能利用率，而这正是大多数内部分析停滞的地方，因为这两者存在于不同系统。
产品级利润确实很难计算，因为大部分成本在三家工厂间分摊，而通常的分配方式——按收入——悄然决定了答案。按收入比例分配间接费用会让高收入产品线显得昂贵，低收入产品线显得高效，而当低收入产品线带来不成比例的换产和废品率时，这恰恰是反的。
可行的做法是只分配真正可追溯的成本，例如直接材料和特定机器成本，其余保持未分配。这样你就能得到按产品线的单位机时贡献，以及一个诚实的共享成本池，这远比没人相信的完全吸收成本数字更有用。
结果通常令人不适。大多数产品组合中，少数产品线支撑全部，其余至少有一条长期产品线已亏损多年，而所有人此前都以为它盈利。
这三者同时出现才是标志。单独一个通常指向其他问题。
✓ 整体工厂利润率报告中没有任何按单位机时贡献或产品的拆分。
✓ 尽管反复讨论产能利用率，工厂多年来从未移除任何产品。
✓ 讨论产能时，工厂总监和CEO对同一产品引用不同的贡献数字。
通常会让情况更糟的做法。 用任意比率将间接费用完全吸收进产品线，得出一个建立在任意规则上的精确数字，却因为看起来严谨而被维护。
It is for you if you run or finance a manufacturer and product profitability is quoted as a company-wide gross margin. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on 一家制造商. It is a sample profile rather than a customer, and it is engine output translated from English — this is the format you get, on your own numbers.
The subject is Kessler Industrial Components, a sample company profile used for testing rather than a customer — $310M revenue, three plants.
Excerpt from a real Percision run · Competitive Positioning · sample company profile
The move. Automate Cedar Falls to lock in Customer A manifold volumes at 19% lower cost before Mexican alternates scale.
The leak it closes. Scrap rate reduced from 3.8% to 2.1%; 78-minute changeover reduced toward world-class 25 minutes
The assumption it rests on. Customer A does not activate dual-sourcing before automation payback (3.8 years) — the engine put the probability at 0.65.
| Investment required | $45M total |
| Expected return | 24% IRR on $45M investment over 7-year Customer A programme life |
| Revenue, year 1 | $340M (no incremental revenue; cost protection only) |
| Revenue, year 2 | $351M (3% price-down offset by automation savings) |
| Revenue, year 3 | $362M (Customer A volume stability plus new Mexican OEM programmes) |
| Exit criteria | If Customer A dual-source volume migration exceeds 25% by Month 18, cease further automation spend and redirect remaining capex to Querétaro expansion and aftermarket channel build-out. |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Matrix Strategy, one of 29 engagements the platform runs. For 制造商 it works through contribution per machine hour, capacity utilisation, customer concentration and scrap, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
You watch the analysis get built before paying anything. 在此阅读完整报告 if you would rather see the depth first.
针对手头的决策，几乎不需要。可追溯成本加一个未分配池就能得出排名，而排名才是你据以行动的。完整的作业成本法往往比促成它的决策活得更久。
明确说明并为支撑定价。一条亏损的产品线若真正拉动盈利收入，那就是有名字的营销成本——只要有人做出了这个决定，就没问题。
每年一次，以及任何重大产品组合变化之后。排名比具体数字更稳定，所以每次做都会更省力。
Materially, yes. The $45M automation case depends on the very customer that causes the margin problem — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are contribution per machine hour, capacity utilisation, customer concentration, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on contribution per machine hour and capacity utilisation. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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