2019
DOI: 10.3390/su11215911
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A Multi-Objective Optimization Model for Green Supply Chain Considering Environmental Benefits

Abstract: Whether the upstream and downstream members in a supply chain (considering environmental objectives) simultaneously stabilize economic benefits has become an important problem in the process of green development. However, few quantitative studies on green supply chains have considered environmental and economic benefits to realize multi-objective optimization. To study operation and cooperation strategies with a consideration of the different objective on the level of supply chain, we first establish a green s… Show more

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Cited by 49 publications
(46 citation statements)
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References 46 publications
(47 reference statements)
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“…(3) According to game theory, this paper establishes a manufacturer-led Stackelberg game model, and the dynamic game order of the supply chain is as follows [22,23]: firstly, the two manufacturers determine their wholesale prices W i according to each other's prices. en, the retailer reacts to determine the product's retail price P i .…”
Section: Definitions and Assumptionsmentioning
confidence: 99%
“…(3) According to game theory, this paper establishes a manufacturer-led Stackelberg game model, and the dynamic game order of the supply chain is as follows [22,23]: firstly, the two manufacturers determine their wholesale prices W i according to each other's prices. en, the retailer reacts to determine the product's retail price P i .…”
Section: Definitions and Assumptionsmentioning
confidence: 99%
“…By introducing competing products, Zhang et al [17] consider the coordination strategy of a green supply chain with hybrid production mode. Jian et al [18] study a multi-objective optimization model of GSC by considering environmental benefits. Motivated by the studies, we treat green level as an exogenous parameter at first to investigate the impact of the competitiveness on the channel structure strategy of supply chains.…”
Section: Green Supply Chain Managementmentioning
confidence: 99%
“…For example, more attention is paid to minimize costs in large-scale distribution, while more attention is paid to timeliness in drug distribution. Therefore, in order to make this study more suitable for the actual needs, four different objective functions were designed, including the shortest distance objective function, the shortest time objective function, the minimum fuel consumption objective function and the minimum cost objective function, as shown in Formulas (22) and (23).…”
Section: Solution Analysismentioning
confidence: 99%
“…Minmize (22) In order to obtain the travel solution with the shortest time, the following function was designed in this paper: (23) In order to obtain the travel solution with the least fuel consumption and the minimum cost, we employed Equations (6) and 7as the objective functions. Different models use the same constraint conditions, i.e., Constraints (18)-(21).…”
Section: Solution Analysismentioning
confidence: 99%
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