Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in Sustainable Supply Chain

Version 1 : Received: 31 July 2021 / Approved: 2 August 2021 / Online: 2 August 2021 (11:08:56 CEST)

How to cite: Jwo, T.Y.; Shyuan, L.Y.; Shih, L.H.; Shu, T.C. Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in Sustainable Supply Chain. Preprints 2021, 2021080016 (doi: 10.20944/preprints202108.0016.v1). Jwo, T.Y.; Shyuan, L.Y.; Shih, L.H.; Shu, T.C. Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in Sustainable Supply Chain. Preprints 2021, 2021080016 (doi: 10.20944/preprints202108.0016.v1).

Abstract

Supplier selection (SC) continues to be a crucial component in manufacturing procurement. Using the PLCC advantages generates revenue and lowers costs more than might be anticipated. Supplier selection (SC) product life cycle cost (SCPLCC) is an important consideration among corporations, SCPLCC problem has become associated with deciding how one supplier should be selected from possible alternatives. Past literature on this topic is limited. We try to close this gap in knowledge. In this study, we attempt to apply two types of goal programming, multiobjective linear programming and revised multichoice goal programming to develop a PLCC-based concept to solve the SCPLCC problem and construct a decision-making tool for application to a case of supply chain management in a Taiwanese light-emitting diode company in the high-tech industry. Our study main contribution Company managers can easily use the two approaches of the SCPLCC model with different parameters to solve SCPLCC model problems. Finally, we are comparing five models found RMCGP with weighted linear goal programming had an adequate effect for application to the PLCC concept for high-technology Company; this cloud makes company decision–makers focus on low PLCC and select a better supplier in sustainable supply chains development.

Keywords

supplier selection; product life cycle cost; geometric averaging-weighting; penalty weighting; multiobjective linear programming; revised multichoice goal programming

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.