A capacitated disassembly scheduling problem considering processing technology selection and parts commonality

In this paper, a multi-product multi-period capacitated disassembly scheduling problem with parts commonality, along with start-up and setup costs, and processing technology selection is formulated as a mixed-integer linear programming (MILP) model. Energy consumption cost is associated with each disassembly processing technique. We assume that unsatisfied demand for leaf items is backlogged. The model aims at quantifying energy costs by considering the expense incurred during the disassembly process to illustrate realistic remanufacturing concerns under several restrictions. The objective is to determine the optimal decisions on the quantity, the timing, and the processing technology of disassembling root items to satisfy leaf item demand over the planning horizon. The periodic capacity of disassembling root items is considered to be limited. Different numerical investigations based on data from the literature are considered and solved using CPLEX solver. A comprehensive sensitivity analysis is conducted to demonstrate the significance of the proposed mathematical model. Thus, the impact of the major key parameters of the developed model has been analyzed. Important managerial insights are drawn to demonstrate the practical application of the suggested methodology. Lastly, conclusions and future research perspectives are presented.