Combined model of customer assessment for order acceptance problem under fuzzy goals and fuzzy constraints

Customer assessment plays an important role in make to order production systems for ranking of the orders. This paper extents α-cut and interactive Fuzzy Multi-Objective Linear Programming combine approaches for solving the imprecise customer assessment for order acceptance problem under price breaks with fuzzy goals and fuzzy constraints with linear Membership Function. The proposed combined approach aims to simultaneously minimize the storage cost, pay delay time, conflict rate and transportation cost. The fifth objective function maximize the total value of purchasing. This combined approach enables decision maker to interactively modify fuzzy coefficients and constraints until attained both an efficient compromise solution and increase overall decision maker satisfaction degree. Additionally, the proposed combination approach provides a systematic framework that facilitates the fuzzy decision-making process. The fuzzy combined approach was utilized on an industrial case, and findings will be shown.