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
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
Distribution planning decisions using interactive fuzzy multi-objective linear programming
Fuzzy Sets and Systems
Computing efficient solutions to fuzzy multiple objective linear programming problems
Fuzzy Sets and Systems
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A novel supply chain operational transport planning model is developed in this paper. The goals of the model are to minimize the number of used trucks and the total inventory levels. Because of somewhat imprecise nature of vehicle capacities and decision makers' aspiration levels for the goals, a fuzzy multiobjective linear programming (FMOLP) modeling approach is adopted. Moreover, an interactive solution methodology is proposed to determine the preferred compromise solution. An industrial case from a real-world automobile supply chain demonstrates the feasibility of applying the proposed model and the solution methodology to a realistic operational transport planning problem. The computational results indicate that the proposed approach improves the results obtained by the heuristic decision-making procedure spreadsheet-based which is actually applied in the automobile supply chain under study.