Application of interactive fuzzy goal programming for multi-objective integrated production and distribution planning

Md. Sanowar Hossain and Md. Mosharraf Hossain

International Journal of Process Management and Benchmarking, 2018, vol. 8, issue 1, 35-58

Abstract: Integrating two interconnected processes and controlling conflicting goals of a production and distribution problem is necessary for better planning. The aim of this integration is to allocate the limited available resources to produce the products over the time periods and ensure economical dispatching to distribution centres. In a responsive and competitive market, production and distribution planning modules is considered here within the framework of satisfaction level of decision maker. Triangular fuzzy numbers and the concept of minimum accepted level are employed to formulate the problem. Minimum operator and weighted average operator method is used to aggregate all fuzzy set and solved by three algorithms and goal programming method. The proposed approach aims to formulate a fuzzy multi-objective linear programming model to simultaneously minimise the total production cost, distribution cost and delivery time for multi-product and multi-time period under multiple uncertainty. AHP is used to rank multiple objectives and solved with MATLAB.

Keywords: supply chains; production and distribution planning decision; PDPD; fuzzy multi-objective linear programming; FMOLP; goal programming; GP. (search for similar items in EconPapers)
Date: 2018
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