TY - JOUR
T1 - Development of simulation-based AHP-DPSO algorithm for generating multi-criteria production-distribution plan
AU - Varthanan, P. Ashoka
AU - Murugan, N.
AU - Kumar, G. Mohan
AU - Parameswaran, S.
PY - 2012/4
Y1 - 2012/4
N2 - Integrated production-distribution plan considering three major objectives, viz., total cost minimization, change in labor level reduction, and underutilization 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/laying-off, 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 backordering products. In addition to bearing manufacturing industry dataset, two other test datasets are also solved.
AB - Integrated production-distribution plan considering three major objectives, viz., total cost minimization, change in labor level reduction, and underutilization 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/laying-off, 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 backordering products. In addition to bearing manufacturing industry dataset, two other test datasets are also solved.
KW - Analytic hierarchy process
KW - Binary-coded genetic algorithm
KW - Discrete particle swarm optimization algorithm
KW - Production-distribution plan
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=84859518746&partnerID=8YFLogxK
U2 - 10.1007/s00170-011-3606-x
DO - 10.1007/s00170-011-3606-x
M3 - Review article
AN - SCOPUS:84859518746
VL - 60
SP - 373
EP - 396
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
SN - 0268-3768
IS - 1-4
ER -