Integrated production–distribution plan considering three major objectives, viz., total cost minimization, change in labor level reduction, and under utilization minimization, is developed for a renowned bearing manufacturing industry in India. The total cost minimization objective minimizes the regular, overtime, and outsourced production costs along with inventory holding,backorder, hiring/layingoff, and trip-wise distribution costs. The multi-criteria model is solved using a novel simulation-based analytic hierarchy process (AHP)–discrete particle swarm optimization (DPSO) algorithm. The solutions of the AHP-DPSO algorithm are verified using the AHP-binary-coded genetic algorithm solutions. The proposed simulation-based AHP-DPSO solutions are found to be superior. Demand is assumed to vary uniformly, and the simulation-based AHP-DPSO algorithm is used for obtaining the best production–distribution plan that serves as a trade-off between holding inventory and back-ordering products.
|Journal||International Journal of Advanced Manufacturing Technology/ Springer|
|State||Published - Sep 23 2011|