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A Coordinated Optimization Model of the Complex System of the Green Supply Chain Distribution Network
Author(s) -
Yurong Guan,
Muhammad Aamir,
Zaheer Ahmed Dayo,
Zia-ur Rahman,
Waheed Ahmed Abro,
Irfan Ali,
Zhihua Hu
Publication year - 2021
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2021/4077151
Subject(s) - supply chain , computer science , mathematical optimization , supply chain optimization , profit (economics) , optimization problem , supply chain network , production (economics) , set (abstract data type) , supply chain management , business , microeconomics , economics , mathematics , marketing , programming language
A well-established distribution network is fundamental to the sound management of the green supply chain. To adapt to the market demand and policies for green products, it is urgent to build an efficient and rational logistic distribution network for the green supply chain. Many researchers have tried to design distribution networks through the coordinated optimization of the green supply chain, in the light of realistic situation. However, there are very few optimization models that consider all kinds of influencing factors. To solve the problem, this paper attempts to establish a coordinated optimization model of the complex system of the green supply chain distribution network (GSCDN). Firstly, the authors plotted the structure and game logic of the GSCDN and defined the upper limit of sales induced by the limited production capacity of producers. Secondly, the coordinated optimization conditions were configured for the distributor layer, producer layer, and market demand layer, and a coordinated optimization model was set up for the complex system. Finally, the contractual coordinated optimization mechanism was detailed for the complex system under the profit-sharing contract. The proposed model and solving algorithm were proved valid through experiments.

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