PMDECS approach of Red Bin Analysis the art of problem solving in manufacturing industry

Q3 Engineering
Kalluri Vinayak, Jaskiran Arora, Sumit Shandilya
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引用次数: 0

Abstract

The problem solving, especially in the manufacturing sector has a very diverse and rich background. Be it the Ford era or the Bell's lab where Dr. Shewart developed the Statistical Process Control (SPC) or the epic 1950 research by NASA for development of Failure Mode and Effect Analysis (PFMEA), the problem-solving approach has taken leaps and have stretched to become an essential function and role of any successful manufacturing industry. Today, the survival of any corporate entity would be difficult and would be full of Risk, if, the problem solving is not an integral part of their ecosystem. In the manufacturing industry, problem-solving was used to be done as soon as an abnormality/failure/defect has been found or introduced. The team used to do the root cause analysis using why-why analysis, fish-bone methodology or 8D problem-solving approach etc. Such methodologies are very strong and still are used very efficiently. If the scale of the problem is very large or it is chronic problem, then strategies like Six Sigma, Total Quality Management, Lean Manufacturing or Total Productive Maintenance are also used. Now through Kaizens, Poka-Yoke and other approaches, problem-solving have seen a phase shift from reactive to a preventive one. The problem is now being prevented even before the occurrence. The concern and a question over these strategies and methodologies are that these are meant to be for everyone and here, everyone means every type of industry irrespective of their market and size. They can be large, medium, small or even micro-enterprise. Large enterprises can afford to do all the quality training, up-gradation and they can also spend on automation. Even medium enterprises can also bear those expenses for a while but what about those small and micro-enterprises. Most of the supply-chain of OEM manufacturing industries are medium, small and microenterprises. Largely the quality of the final product is also the responsibility of the supply chain. How these enterprises will be able to cater to such increasing quality needs and dimension? How will they be able to become a problemsolving enterprise without investing much on this front? The answer to this is the "Red-Bin Analysis". It is a different problem-solving methodology based on quality control circle method focusing on the problem occurrence, detection and solving at the source of generation. This method highlights and explains the problem selection and its solution which is very efficient in case of problem-solving of sub-assemblies or sub-components at the supply chain tier-1, tier-2 or tier-3 level.
红Bin的PMDECS方法分析制造业问题解决的艺术
解决问题,特别是在制造业领域,有着非常多样化和丰富的背景。无论是福特时代还是Shewart博士开发统计过程控制(SPC)的贝尔实验室,还是1950年美国宇航局为开发故障模式和影响分析(PFMEA)而进行的史诗般的研究,解决问题的方法已经取得了飞跃,并已扩展成为任何成功制造业的基本功能和作用。今天,任何公司实体的生存将是困难的,将充满风险,如果,解决问题不是他们的生态系统的一个组成部分。在制造业中,一旦发现或引入异常/故障/缺陷,就会立即解决问题。团队过去常常使用why-why分析法、鱼刺分析法或8D问题解决方法等进行根本原因分析。这种方法非常强大,并且仍然被非常有效地使用。如果问题的规模非常大,或者是长期的问题,那么像六西格玛,全面质量管理,精益生产或全面生产维护等策略也被使用。现在,通过Kaizens、Poka-Yoke和其他方法,问题的解决已经从被动解决转变为预防性解决。现在甚至在问题发生之前就被预防了。对这些策略和方法的关注和问题是,这些策略和方法适用于所有人,这里的“所有人”指的是所有类型的行业,无论其市场和规模如何。它们可以是大型、中型、小型甚至微型企业。大企业可以负担得起所有的质量培训和升级,他们也可以在自动化上花钱。即使是中型企业也可以承担一段时间的费用,但那些小微企业呢?OEM制造业的供应链大部分是中小微企业。最终产品的质量在很大程度上也是供应链的责任。这些企业将如何能够满足这种不断增长的质量需求和维度?如果不在这方面投入太多,他们如何能够成为一个解决问题的企业?答案是“红箱分析”。它是一种基于质量控制圈法的不同的问题解决方法,侧重于问题的发生、发现和解决。这种方法强调并解释了问题的选择及其解决方案,在解决供应链第一层,第二层或第三层的子组件或子组件的问题时非常有效。
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来源期刊
International Journal of Six Sigma and Competitive Advantage
International Journal of Six Sigma and Competitive Advantage Engineering-Industrial and Manufacturing Engineering
CiteScore
2.00
自引率
0.00%
发文量
16
期刊介绍: Today, Six Sigma is recognised in many world class organisations as an effective means of achieving and maintaining operational excellence and competitive advantage. Six Sigma has proved to be successful in many manufacturing and service organisations to drive out variability from processes, improve process effectiveness and product/service quality, reduce defect rate, enhance customer satisfaction, etc. IJSSCA publishes papers that address Six Sigma issues from the perspectives of customers, industrial engineers, business managers, management consultants, industrial statisticians and Six Sigma practitioners.
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