scholarly journals Strategic global supply chain network design – how decision analysis combining MILP and AHP on a Pareto front can improve decision-making

2020 ◽  
pp. 1-16
Author(s):  
Juri Reich ◽  
Aseem Kinra ◽  
Herbert Kotzab ◽  
Xavier Brusset
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Decision Analysis ◽  
Network Design ◽  
Pareto Front ◽  
Global Supply Chain ◽  
Supply Chain Network Design ◽  
Supply Chain Network

A Class of Level-2 Fuzzy Decision-Making Model with Expected Objectives and Chance Constraints: Application to Supply Chain Network Design

2015 ◽  
Vol 16 (04) ◽  
pp. 907-938 ◽  
Author(s):  
Xiaoyang Zhou ◽  
Yan Tu ◽  
Jing Han ◽  
Jiuping Xu ◽  
Xionghui Ye
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Network Design ◽  
General Level ◽  
Fuzzy Decision Making ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Fuzzy Decision ◽  
Decision Making Model ◽  
Level 2

In this paper, we concentrate on dealing with a class of decision-making problems with level-2 fuzzy coefficients. We first discuss how to transform a level-2 fuzzy decision-making model with expected objectives and chance constrained into crisp equivalent models, then an interactive fuzzy satisfying method is introduced to obtain the decision makers satisfying solution. In addition, the technique of level-2 simulations is applied to deal with general level-2 fuzzy models which are usually hard to be converted into their crisp equivalents. Furthermore, based on the level-2 fuzzy programming, we focus on the supply chain network design problem where the total transport costs and the customer demands are assumed to be level-2 fuzzy numbers, a hybrid intelligent algorithm based on GA is used to solve the general supply chain design model. Finally, a numerical example and a case study are presented to illustrate the effectiveness of the model and the algorithm.

Global supply chain network design problem with rules of origin and limited import quotas

Kybernetes ◽  
2019 ◽  
Vol 48 (5) ◽  
pp. 930-948 ◽  
Author(s):  
Xinxuan Cheng ◽  
Guoqing Yang ◽  
Longfei Fan
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Service Level ◽  
Global Supply Chain ◽  
Network Design Problem ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Content Type ◽  
Proposed Model ◽  
Import Quotas

Purpose This paper aims to develop an uncertain global supply chain network design (GSCND) model with rules of origin (RoOs) and limited import quotas, and to discuss the international factors’ effects on location decisions. Design/methodology/approach The authors establish an uncertain GSCND model with the international factors. The transportation costs and customers’ demands are characterized as random variables. To deal with the risk of uncertainty, the authors introduce the customers’ demand service level. A sample approximation approach (SAA) is used to deal with the service level constraint and turn the proposed model into a mixed integer programming. On the basis of the properties of the proposed model, a hybrid memetic algorithm (MA) is designed to solve it. Findings The authors find that the proposed MA is efficient to the real supply chain network design problem. Besides, the RoOs and limited import quotas can affect the optimal choices of plant and distribution center locations. Originality/value The authors propose an uncertain GSCND model with RoOs and limited import quotas. An MA with SAA is designed to solve the proposed model. The authors apply the proposed model into a real global supply chain of an apparel corporation in East Asia, and give some managerial insights.

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