A new approach to some possibilistic linear programming problems
Fuzzy Sets and Systems
Fuzzy multiple objective programming and compromise programming with Pareto optimum
Fuzzy Sets and Systems
Possibilistic linear programming for managing interest rate risk
Fuzzy Sets and Systems
Fuzzy programming approach to multiobjective solid transportation problem
Fuzzy Sets and Systems
An additive fuzzy programming model for multiobjective transportation problem
Fuzzy Sets and Systems
A concept of the optimal solution of the transportation problem with fuzzy cost coefficients
Fuzzy Sets and Systems
Uncertain solid transportation problems
Fuzzy Sets and Systems
A fuzzy approach to the multiobjective transportation problem
Computers and Operations Research
Maximum utilization of vehicle capacity: A case of MRO items
Computers and Industrial Engineering
Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
Fuzzy Sets and Systems
The supply chain trading agent competition
Electronic Commerce Research and Applications
Distribution planning decisions using interactive fuzzy multi-objective linear programming
Fuzzy Sets and Systems
Waiting/cruising location recommendation based on mining on occupied taxi data
MACMESE'10 Proceedings of the 12th WSEAS international conference on Mathematical and computational methods in science and engineering
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We propose a novel fuzzy multi-objective linear programming model (FMOLP) for the supply chain transport planning problem at the operational level that considers various conflicting objectives simultaneously as well as the imprecise nature of some critical parameters such as capacity levels. The proposed model enables improved procurement process optimizing the use of transport resources and inventory levels. We also present an interactive solution methodology to convert this FMOLP model into an auxiliary crisp single-objective linear model and to find a preferred compromise solution in an interactive fashion. We validated the proposed model and the solution methodology in a real-world automobile supply chain. The computational results indicate that the proposed approach outperforms the heuristic decision-making procedure spreadsheet-based which is actually applied in the automobile supply chain under study.