A Supply Chain Network Design Model for Deteriorating Items

2007 ◽  
Author(s):  
Kai Tang ◽  
Chao Yang ◽  
Jun Yang
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Deteriorating Items ◽  
Design Model ◽  
Supply Chain Network Design ◽  
Supply Chain Network

A green Dual-Channel Closed-Loop Supply Chain Network Design model

2021 ◽  
pp. 130062
Author(s):  
Yigit Kazançoglu ◽  
Damla Yuksel ◽  
Muruvvet Deniz Sezer ◽  
Sachin Kumar Mangla ◽  
Lianlian Hua
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Closed Loop ◽  
Design Model ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Dual Channel

scholarly journals A p-Robust Green Supply Chain Network Design Model under Uncertain Carbon Price and Demand

2019 ◽  
Vol 11 (21) ◽  
pp. 5928
Author(s):  
Ruozhen Qiu ◽  
Shunpeng Shi ◽  
Yue Sun
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Carbon Price ◽  
Decision Makers ◽  
Design Model ◽  
Scenario Tree ◽  
Green Supply Chain ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Cost Performance

The problem of designing a multi-product, multi-period green supply chain network under uncertainties in carbon price and customer demand is studied in this paper. The purpose of this study is to develop a robust green supply chain network design model to minimize the total cost and to effectively cope with uncertainties. A scenario tree method is applied to model the uncertainty, and a green supply chain network design model is developed under the p-robustness criterion. Furthermore, the solution method for determining the lower and upper bounds of the relative regret limit is introduced, which is convenient for decision-makers to choose the corresponding supply chain network structure through the tradeoff between risk and cost performance. In particular, to overcome the large scale of the model caused by a high number of uncertain scenarios and reduce the computational difficulty, a scenario reduction technique is applied to filter the scenarios. Numerical calculations are executed to analyze the influence of relevant parameters on the performance of the designed green supply chain network. The results show that the proposed p-robust green supply chain network design model can effectively deal with carbon and demand uncertainties while ensuring cost performance, and can offer more choices for decision-makers with different risk preferences.

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