SONGKLANAKARIN JOURNAL OF SCIENCE & TECHNOLOGY

Volume 43, No. 01, Month JANUARY, Year 2021, Pages 283 - 294

Aggregate production planning using integrated fuzzy multi-objective optimization with a-cut analysis

Noppasorn Sutthibutr, Navee Chiadamrong

Abstract Download PDF

Aggregate production planning when operating time, costs, customer demand, labor level, and machine capacity are uncertain is studied. This study optimizes the aggregate production plan, yielding the minimum total costs by using an integrated fuzzy multi-objective linear model with 𝛼-Cut analysis. The proposed integrated approach simultaneously minimizes the most possible value of the total costs, maximizes the possibility of obtaining the lowest total costs, and minimizes the possibility of obtaining higher total costs as multiple objectives. Then, the α-Cut analysis is introduced to ensure decision makers that the outcome satisfies their preferences based on a specified minimum allowed satisfaction value (α). The outcome of the study can show a possible range of total costs, yielding an optimal and acceptable plan under uncertainty.

Keywords

production planning, possibilistic linear programming, fuzzy goal programming, ?-cut analysis

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