| Summary: | 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.
|
|---|