Production planning optimization with fuzzy analytic hierarchy process and genetic algorithm

Authors : Fatih Yiğit, Ana M Lazarevska

Pages : 384-396

Doi:10.25092/baunfbed.1578402

View : 52 | Download : 48

Publication Date : 2025-01-20

Article Type : Research Paper

Abstract :Proper production planning is essential for improving productivity and lowering resource (material, energy, employees) related costs in the highly competitive business world. Dealing with the challenges of asymmetric setup times—where the time required to switch between manufacturing different products varies —makes this task much more difficult. Conventional planning techniques frequently ignore these articulations and produce sub-optimal schedules. This paper proposes a novel approach to tackle the following challenge: optimizing production planning using the Fuzzy Analytic Hierarchy Process (FAHP) with asymmetric setup times and Genetic Algorithm (GA). The proposed methodology involves a step-by-step process. The first stage defines key objectives: makespan, total waste cost, and maximum weighted tardiness. Decision-makers compare the relative importance of each criterion within its hierarchy level using fuzzy numbers. The consistency of these comparisons is assessed using fuzzy consistency ratio computations. At the same time, the overall priority weights for each production planning alternative are determined by summing fuzzy judgments across the hierarchy. In the second stage, the production plan is optimized using GA, considering sequence and lot size variables and asymmetric setup times, by applying the computed weights. The comparisons are performed using the proposed approach with the optimum solution.
Keywords : Bulanık mantık, üretim planlama, analitik hiyerarşi prosesi, metasezgisel, genetik algoritma, çok kriterli karar verme