Integrated green‐and‐quality inspection schemes for green product quality with six‐sigma yield assurance and risk management

Author:

Shu Ming‐Hung12ORCID,Wang To‐Cheng3ORCID,Hsu Bi‐Min4

Affiliation:

1. Department of Industrial Engineering and Management National Kaohsiung University of Science and Technology Kaohsiung Taiwan

2. Department of Healthcare Administration and Medical Informatics Kaohsiung Medical University Kaohsiung Taiwan

3. Department of Aviation Management Republic of China Air Force Academy Kaohsiung Taiwan

4. Department of Mechanical Engineering and Institute of Mechatronic Engineering Cheng Shiu University Kaohsiung Taiwan

Abstract

AbstractDue to worldwide awareness of the sustainable environment, research on green production and distribution has grown within academic and industrial communities. For an eco‐friendly environment, limiting hazardous substances (HSs) concentration in products quality assessment is one of the most crucial strategies to achieve the 4Rs of the products, namely, Reduction, Reuse, Recycle, and Recovery. Trustworthy inspection, evaluation, and validation methods to ensure multiprocess yield and risk of acquiring green product quality are desired for the industry. However, the existing methods use arbitrary inspection sizes, levels of capability, and ignore controls for both Types I and II risks. To overcome these drawbacks and pursue Six‐Sigma green capability suppliers, this study establishes a multiprocess performance chart, called the green product quality analysis chart (GPQAC), to inspect and analyze green product submissions. GPQAC implements variables sampling plans based on unilateral and bilateral process capability indices. The chart operates at given Six‐Sigma green and quality compliance and simultaneously controlled Type I and Type II risks. The required sample size and rejection and acceptance capability zones are determined from the multiprocess optimization taking into account the Bonferroni correction. This determination enables GPQAC to aggregate the overall status of a group of processes and assess the ability of the supplier processes to execute efficiently and economically relative to the customer specifications. We also establish web‐based GPQAC graphs using a cloud‐computing program for lot disposition. Finally, a real‐world case illustrates the utility of the GPQAC integrated variables sampling scheme in enhancing environmental sustainability.

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

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