Target-Oriented Compromised Sales and Profit Approach for Production and Distribution Planning in a Supply Chain

This paper aims to determine optimal aggregate production and distribution plans in a supply chain system that simultaneously achieve two business targets of total profit sales, with uncertain parameters, e.g., rate during regular time overtime, inventory holding costs for manufacturer centers, transportation cost. A fuzzy multi-objective linear programming (FMOLP) model is developed represent the planning problem. The proposed method minimizes maximum deviation from satisfaction profits sales more effective, compared maximizes minimum sale, various compromised solutions, which are Pareto-optimal, allow planner select most desirable solution based on his/her opinion. has made significant contribution since it first one proposes FMOLP approach solutions target-based objectives achieving target.