Coordinating order acceptance and integrated production-distribution scheduling with batch delivery considering Third Party Logistics distribution

A representation procedure is introduced based on two optimal properties of the problem. For the initial population, four heuristics are developed. To explore and locate the algorithm in a better neighborhood, a local search is made use of. Taguchi experimental design was applied to set the appropriate parameters of the algorithms. Moreover, to verify the developed model and evaluate the performance of algorithm against the exact solution, a commercial solver is used. The obtained results on generated random instances reveal the appropriate performance of heuristics, the adaptive approach and local search on the genetic algorithm. Furthermore, the effect of different parameters and factors of the proposed model on the profit shows that the order acceptance and the more vehicles of the company improve the profit.