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Integrated Quality-Based Production-Distribution Planning in Two-Echelon Supply Chains
Author(s) -
Husein Pasha,
Isa Nakhai Kamalabadi,
Alireza Eydi
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/6615634
Subject(s) - supply chain , production (economics) , quality (philosophy) , particle swarm optimization , nonlinear programming , operations research , function (biology) , integer programming , distribution (mathematics) , supply chain management , computer science , mathematical optimization , business , engineering , mathematics , nonlinear system , marketing , economics , microeconomics , philosophy , physics , epistemology , quantum mechanics , evolutionary biology , biology , mathematical analysis
The integrated production-distribution (P-D) planning has turned into one of the most essential areas in supply chain (SC) management in recent years, especially in the case of perishable products in which the quality of products can change over time. Nonetheless, so far, the suggested models have focused on the P-D stages of the chain while the delivery of high-quality products to customers is of paramount significance in the perishable SC. In the present paper, a multiobjective, mixed-integer, and nonlinear programming (MOMINLP) mathematical model was developed for integrated P-D deteriorating items in a two-echelon SC that emphasizes quality degradation. Quality is monitored and calculated as a function of temperature and time throughout the SC, and the main purpose of the model is to first increase the quality of products delivered to customers and, second, minimize the SC costs. To optimize the problem, the particle swarm optimization (PSO) approach was also incorporated into the model. The obtained model was applied to a case study in Protein Gostar Sina Company in Iran, which resulted in decreased P-D costs as well as increased customer satisfaction.

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