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

Title:
Using a Product Life Cycle Cost Model to Solve Supplier Selection Problems in a Sustainable, Resilient Supply Chain
Authors:
Yu-Jwo Tao, Yi-Shyuan Lin, Hsuan-Shih Lee, Guo-Ya Gan, Chang-Shu Tu
Source:
Sustainability, Vol 14, Iss 2423, p 2423 (2022)
Publisher Information:
MDPI AG
Publication Year:
2022
Collection:
Directory of Open Access Journals: DOAJ Articles
Subject Terms:
supplier selection, product life cycle cost, geometric mean weighting, penalty weighting, multiobjective linear programming, revised multichoice goal programming, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
English
Relation:
https://www.mdpi.com/2071-1050/14/4/2423; https://doaj.org/toc/2071-1050; https://doaj.org/article/f0d49136ea804349947748f6fa982937
DOI:
10.3390/su14042423
Availability:
https://doi.org/10.3390/su14042423
https://doaj.org/article/f0d49136ea804349947748f6fa982937
Accession Number:
edsbas.2486D9A
Database:
BASE

Weitere Informationen

Supplier selection constitutes a crucial component of manufacturing procurement. We developed a product life cycle cost (PLCC) model to support Taiwanese light-emitting diode (LED) manufacturers in capacity planning for sustainable and resilient supply chain (SC) management. For firms, supply chain PLCC (SCPLCC) is a key consideration, but relevant evidence is scarce. We applied two types of goal programming, namely multiobjective linear programming and revised multichoice goal programming (RMCGP), to develop a PLCC-based model that minimizes net costs, rejections, and late deliveries. Moreover, we constructed a decision-making tool for application to a case of SC sustainable procurement management in a high-tech Taiwanese LED company. Managers can resolve relevant problems by employing the two approaches of the SCPLCC model with various parameters. The implementation of RMCGP with weighted linear goal programming sensitivity analysis produced sufficient findings, according to a study of five models for practical implications. The primary findings of the current model assist business decision-makers in minimizing PLCC, reducing PLCC cost, minimizing net cost, number of rejections, number of late deliveries, achieving PLCC goals, and selecting the best supplier in the context of sustainable SC development.