Jidoka and Throughput Accounting: A Path to Profits, Not Just Cost Control
Kevin Kohls
I help logical leaders improve profitability and create long term change. Ask me how :) Want to talk? Schedule a time at calendly.com/kevinkohls or go to linktr.ee/kevinkohls
In manufacturing, Jidoka—often translated as "automation with a human touch"—is a key pillar of the Toyota Production System (TPS). Jidoka aims to build quality into processes by stopping work immediately when an abnormality is detected, allowing the issue to be addressed at the source. This process improves quality and reduces the likelihood of defective products reaching customers, but implementing Jidoka can impact production by introducing more frequent, albeit shorter, periods of downtime. This raises a critical question in profit-driven environments: Does Jidoka drive profitability, or does it merely add cost?
Assumptions and Challenges: Downtime and Throughput
To understand the impact of Jidoka on profitability, let's make several assumptions. First, the introduction of Jidoka will generate downtime—usually shorter but more frequent interruptions. This could create a new bottleneck in the process, potentially slowing throughput, the rate at which products are manufactured and sold to meet demand. With limited resources, this reduction in throughput could lead to unmet demand, affecting Net Profit (NP) in the short term.
In North American business culture, speed and profit are paramount. Yet, the immediate dip in throughput and potential decline in NP due to downtime can challenge the culture's demand for quick returns and short lead times. Therefore, companies may hesitate to implement Jidoka, fearing the financial repercussions during initial phases.
The Throughput Accounting Perspective
Traditional accounting systems, focused on cost-cutting and efficiency metrics, often miss the full financial picture in a production setting. Throughput Accounting (TA), however, aligns with the Theory of Constraints (TOC) and measures profitability based on the concept of throughput. In TA, throughput is defined as (Selling Price - Total Variable Cost) x Units Sold. This method underscores that focusing on maximizing throughput to meet demand will increase NP more effectively than simply cutting costs.
If a Jidoka implementation reduces throughput below demand, NP suffers, leading to scrutiny and even resistance. Unlike a mature Toyota plant, where Jidoka is culturally and systematically supported, North American facilities may face challenges in maintaining Jidoka without clear alignment to business goals.
The Risk of Focusing Solely on Quality
Let’s consider two types of quality issues relevant to Jidoka:
Prioritizing these quality problems is crucial. Addressing bottleneck-related quality issues, which directly affect throughput, should be at the top of the list, as they have the most significant impact on NP. Prioritizing non-bottleneck quality issues that don’t reach customers or cause periodic bottlenecks becomes less critical but still necessary if they contribute to excessive OE or rework costs.
领英推荐
Discarding raw materials or inexpensive components for quality reasons may also have minimal impact if they are promptly replaced or returned to suppliers. Using TA to assess such decisions helps prioritize actions based on their contribution to NP, guiding plant floor decisions to focus on high-value improvements.
A Clear Financial Impact of Jidoka
A well-prioritized Jidoka implementation should produce a financial roadmap indicating short-term cost increases with the potential for long-term NP gains. Achieving five-star quality may require a trade-off, where some NP is sacrificed to secure customer satisfaction and future growth.
Yet, managing this balance requires clarity and alignment with business goals. EBIT (Earnings Before Interest and Taxes), while often prioritized by MBA-trained leaders, provides an incomplete picture for plant management. It lacks transparency, particularly in raw material cost calculations, making it challenging to connect decisions with their impact on profits. Throughput Accounting, by contrast, provides a direct, plant-level understanding of how decisions influence NP, aiding operators in prioritizing improvements effectively.
Jidoka’s Role in Continuous Improvement (CI): From Ideal to Real
In practice, Jidoka is often a "solution looking for a problem." Implementing it without a clear method to prioritize quality issues based on financial impact—especially in terms of throughput and NP—limits its value. CI processes rarely incorporate methods for prioritizing Jidoka actions to meet a business's specific financial and operational goals, and as a result, many North American firms struggle to maintain Jidoka’s benefits over time.
If Jidoka is to be impactful, its integration must align with the environment it serves. CI practitioners must adopt tools like Throughput Accounting to understand the financial ramifications of Jidoka, allowing for intelligent prioritization that reinforces long-term success. While not explicit in Lean or The Toyota Way, prioritizing through TA will help CI practitioners deliver financially sound results, demonstrating continuous learning and adaptability within their CI methods.
By focusing on five-star quality, bottleneck prioritization, and throughput gains, CI professionals can move from a cost-centric view of Jidoka to a profit-driven one. This mindset change transforms Jidoka from a rigid concept into a dynamic, profit-enhancing tool, essential for any CI implementation in a competitive business environment.
The Path Forward: Learning and Adapting
For Jidoka to thrive in environments not inherently supportive of its principles, leaders and those implementing it, must recognize the need for continuous learning and adaptation in CI methods. Understanding and applying concepts like Throughput Accounting and prioritizing high-impact quality issues will ensure that Jidoka serves its true purpose: not merely preventing defects, but driving long-term profitability and sustainable growth.
MBA, Lead Throughput Improvement Engineer
3 周I agree with Mr. Kevin Kohls' article. He explains the terms and reasoning very well, in my opinion. He also provides real life examples that many of us can relate to . . . . . . but some of us forget, when some managers are focused on silo metrics, particularly on the cost side of the equation. Ken (Throughput) Johnson at General Motors