8Ds method of problem solving within automotive industry: Tools used and comparison with DMAIC. (2022)

• Record Type: Journal Article
• Authors: Kumar Phanden, Rakesh; Sheokand, Aaryan; Kumar Goyal, Kapil; Gahlot, Pardeep; Ibrahim Demir, Halil
• Is Part Of: Materials today. Volume 65:Part 8(2022)
• Page Start: 3266
• Page End: 3272
• Publication Date: 2022
• Subjects: Problem Solving -- Automotive Industry -- 8Ds -- DMAIC -- Six Sigma -- Literature Review; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2022.05.383
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: Problem solving techniques have many impacts on the organization to increases the operational efficiencies, to reduce the materials wastage, to improve the consistency in production, to increase in production performance, to improve the manufacturing cycle time and ultimately to increase the company's profits. However, the selection of wrong team, wrong problem, lack of data and time are the regularly encountered factors while problem-solving in manufacturing sector. Consequently, the sequential steps are required to define and to find out the root cause of problem, to select the most suitable alternatives and to implement solutions of that problem. In this paper, 8Ds methodology has been deeply studied with respect to the automotive manufacturing sector. The brief discussion on the tools used to apply 8Ds methodology has been presented. Also, the related contributions from literature have been explored corresponding to the outcome of applying 8Ds in manufacturing of automotive components. Based on literature review, a sample 8Ds template has been presented in this paper. Various conclusions are derived on 8Ds like it is not one-time implementation technique but an on-going management choice to reply to customer complaints, application of Plan-Do-Check-Act cycle (PDCA) with 8D's helps in providing reliable solutions and increase the quality level and it has been successfully applied with the Define, Measure, Analyze, Improve and Control (DMAIC) methodology. In addition, the current paper also discusses the comparation of 8Ds with a well-known data drive methodology (i.e., DMAIC methodology).