Product recycling network design with recovery rate taken into consideration under fuzzy environment

2013 ◽  
Author(s):  
Yang Gao ◽  
Bingbing Chen ◽  
Jianqiang Wang
Keyword(s):  
Network Design ◽  
Recovery Rate ◽  
Fuzzy Environment ◽  
Product Recycling

A FUZZY PROGRAMMING APPROACH FOR SUPPLY CHAIN NETWORK DESIGN

2007 ◽  
Vol 15 (supp02) ◽  
pp. 75-87 ◽  
Author(s):  
XIAOYU JI ◽  
XIANDE ZHAO ◽  
DEMING ZHOU
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Cost Optimization ◽  
Fuzzy Programming ◽  
Network Design Problem ◽  
Programming Approach ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Fuzzy Environment ◽  
Stochastic Parameters

This paper presents a fuzzy programming method to design supply chain network, in which the customer demands and transportation costs are assumed to be fuzzy parameters. Existing researches on supply chain network design problem are either restricted on deterministic environment or only address stochastic parameters. In this paper, we consider this problem in fuzzy environment. Under different criteria, we format three types of models for the decision makers: expected cost optimization model, chance-constrained model and chance maximization model. A genetic algorithm based on fuzzy simulation is developed to solve the proposed fuzzy models. Moreover, some numerical examples are presented to illustrate the effectiveness of models and solution algorithm.

Closed-loop supply chain network design under a fuzzy environment

2014 ◽  
Vol 59 ◽  
pp. 108-120 ◽  
Author(s):  
Majid Ramezani ◽  
Ali Mohammad Kimiagari ◽  
Behrooz Karimi ◽  
Taha Hossein Hejazi
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Closed Loop ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Fuzzy Environment

A generalized fuzzy cost efficiency model

2020 ◽  
Vol 54 (6) ◽  
pp. 1775-1791
Author(s):  
Nazila Aghayi ◽  
Samira Salehpour
Keyword(s):  
Cost Efficiency ◽  
Minimum Cost ◽  
Extensive Literature ◽  
Data Envelopment ◽  
Fuzzy Environment ◽  
Decision Making Unit ◽  
Production Possibility Set ◽  
Fuzzy Cost ◽  
The Cost ◽  
Generalized Cost

The concept of cost efficiency has become tremendously popular in data envelopment analysis (DEA) as it serves to assess a decision-making unit (DMU) in terms of producing minimum-cost outputs. A large variety of precise and imprecise models have been put forward to measure cost efficiency for the DMUs which have a role in constructing the production possibility set; yet, there’s not an extensive literature on the cost efficiency (CE) measurement for sample DMUs (SDMUs). In an effort to remedy the shortcomings of current models, herein is introduced a generalized cost efficiency model that is capable of operating in a fuzzy environment-involving different types of fuzzy numbers-while preserving the Farrell’s decomposition of cost efficiency. Moreover, to the best of our knowledge, the present paper is the first to measure cost efficiency by using vectors. Ultimately, a useful example is provided to confirm the applicability of the proposed methods.

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