Multi-objective Remanufacturing Supply Chain Optimization Problem with Dual Stochastic Programming

2016 ◽  
Vol 9 (9) ◽  
pp. 319-322
Author(s):  
Liang Yong ◽  
Qiao Peili ◽  
Luo Zhiyong ◽  
Zhu Suxia
Keyword(s):  
Supply Chain ◽  
Stochastic Programming ◽  
Optimization Problem ◽  
Supply Chain Optimization ◽  
Multi Objective

Multi-Objective Artificial Bee Colony Algorithm for Multi-Echelon Supply Chain Optimization Problem

2017 ◽  
Vol 8 (4) ◽  
pp. 76-89 ◽  
Author(s):  
Mayank Gupta ◽  
Anirban Kundu ◽  
Vipul Gupta
Keyword(s):  
Supply Chain ◽  
Artificial Bee Colony Algorithm ◽  
Optimization Problem ◽  
Artificial Bee Colony ◽  
Supply Chain Optimization ◽  
Successful Operation ◽  
Chain Management ◽  
Multi Objective ◽  
Bee Colony ◽  
Chain Problem

Supply Chain Management has become an integrated part of today's industries. Advancement in technology in this field is the key to the successful operation of businesses. Many techniques and algorithms have a risen dealing with the challenging problems of present industry. In this paper, we have deployed an Artificial Bee Colony algorithm to solve a multi-echelon, multi-objective supply chain problem. Also, we have explained the working of the algorithm while applying it to our problem through various mathematical formulations to get a set of results.

An algorithm portfolio based solution methodology to solve a supply chain optimization problem

2009 ◽  
Vol 36 (4) ◽  
pp. 8407-8420 ◽  
Author(s):  
Salik R. Yadav ◽  
Raja Ram M.R. Muddada ◽  
M.K. Tiwari ◽  
Ravi Shankar
Keyword(s):  
Supply Chain ◽  
Optimization Problem ◽  
Supply Chain Optimization ◽  
Algorithm Portfolio ◽  
Solution Methodology
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