Production planning implementation in a real life system

Nowadays, the integration of production planning and order acceptance decisions has an important subject for make-to-order production systems. Production companies try to accept orders which provide more profit in a competitive environment. In contrast to classical production planning problems, capacity constrained short-term production planning problem which contains decisions about order acceptance, selling price and due date assignment for orders was studied for make-to-order production systems in this thesis. Regular time, overtime and subcontracting are considered as source options. Moreover, the mixed-integer non-linear programming model where selling prices and due dates are constant parameters and the multi-objective mixed-integer non-linear programming model where selling prices and due dates are decision variables were developed. The linearization method was applied to these non-linear mathematical programming models. The mixed-integer linear programming model where selling prices and due dates are constant parameters and the multi-objective mixed-integer linear programming model where selling prices and due dates are decision variables were developed after an application of the linearization method and these models were solved by using Lingo 14.0 software. In order to solve the multi-objective mixed-integer linear programming model where selling prices and due dates are decision variables, ε-constraint method was used. Proposed multi-objective mixed-integer linear programming model where selling prices and due dates are decision variables was implemented in the automotive brake disc manufacturing company in order to analyze the results of the model in a real life system.