A multi-objective integrated cellular manufacturing systems design with production planning, worker assignment and dynamic system reconfiguration

This paper offers a new mathematical model for the design of cell formation in dynamic cellular manufacturing system (DCMS) based on production planning (PP) and worker assignment. Here, workers will assign on machines by their skills. In dynamic environment, the best-designed cells for one period may not be efficient for subsequent periods and reconfiguration of cells is required. Reconfiguration may involve adding, removing or relocating machines; it may also involve a change in processing rout of part types from a period to another. Here, the aim of the model is to develop a multi-objective DCMS model that integrates multi-period PP, dynamic system reconfiguration and available time of workers, worker assignment and several other attributes. Consequently, a multi-objective dynamic cell formation problem is presented, where the total cells load variation (the second objective function) and sum of the miscellaneous costs (the first objective function) are to be minimised simultaneously. For solving this type of problems, it is reasonable to investigate a set of solutions, so I use fast and elitist multi-objective genetic algorithm for solving the mathematical model to find Pareto-optimal solutions and numerical results show effectiveness of the proposed model.