Multicriterion genetic optimization for due date assigned distribution network problems
Decision Support Systems - Special issue: Collaborative work and knowledge management
Computers and Operations Research
Strategic level three-stage production distribution planning with capacity expansion
Computers and Industrial Engineering
A reactive GRASP and path relinking for a combined production-distribution problem
Computers and Operations Research
Fuzzy-genetic approach to aggregate production-distribution planning in supply chain management
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Hybrid genetic algorithm for multi-time period production/distribution planning
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
Hi-index | 0.00 |
An aggregate production-distribution model, which minimizes the regular, overtime and outsourced production costs along with inventory holding, backorder, hiring/laying-off and trip-wise distribution costs, is developed for a renowned bearing manufacturing industry in India. The proposed integer non-linear programming INLP problem is NP-hard and hence a discrete particle swarm optimization DPSO algorithm is applied to solve the multi-site, multi-period production-distribution problem. The results obtained using DPSO algorithm are compared with the results of memetic algorithm MA, genetic algorithm GA and simulated annealing SA. DPSO algorithm results are far superior to that of other meta-heuristic approaches for the problem considered.