Fuzzy Sets and Systems
A dynamic programming based algorithm for the crew scheduling problem
Computers and Operations Research
A Set Partitioning Approach to the Crew Scheduling Problem
Operations Research
Computers and Operations Research
A Stochastic Programming Approach to the Airline Crew Scheduling Problem
Transportation Science
Ontology based personalized route planning system using a multi-criteria decision making approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Review article: A review of soft computing applications in supply chain management
Applied Soft Computing
An integrated supply chain network design problem for bidirectional flows
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
A supply chain network design needs to consider the future probability of reconfiguration due to some problems of disaster or price changes. The objective of this article is to design a reconfigurable supply chain network by optimizing inventory allocation and transportation routing. A two-stage programming is composed according to Benders decomposition by allocating inventory in advance and anticipating the changes of transportation routings; thus the transportation routing is stochastic in nature. In addition, the fuzzy shortest path is developed to solve the problem complexity in terms of the multi-criteria of lead time and capacity with an efficient computational method. The results and analysis indicate that the proposed two-stage programming with fuzzy shortest path surpasses the performance of shortest path problem with time windows and capacity constraint (SPPTWCC) in terms of less computational time and CPU memory consumption. Finally, management decision-making is discussed among other concluding remarks.