| dc.description.abstract | This thesis describes the multiple fuzzy objective linear programming (MFOLP) and linear programming (LP) and use them to solve the issues related to aggregate production planning (APP). APP is an analytical tool that present a strategy to meet demand according to the capacity constraints. In fact, most decision makers face many of their goals by conflicting and fuzziness parameters. Therefore, the proposed paper is to apply a fuzzy goal programming model with various scenarios to deal APP issue and multi- objective functions to simultaneously minimize the production cost, minimize the carrying and backordering cost and minimize the cost of changing in workforce which related to the demand, inventory level, workforce level and overtime production. This MFOLP is applied for Taekwang Vina Shoes, Vietnam Company. To ensure the effectiveness and the efficiency of the proposed model, real data is used for this problem. The results will display the effectiveness and efficiency by providing a compromise solution satisfying the fuzzy goal. APP model and MFOLP are optimality solved and validated by using optimization software CPLEX
Keywords: Aggregate production planning, Fuzzy goals programming, Optimization Studio software, multi- objective functions | en_US |
