چكيده به لاتين
Abstract
One of the most important decisions at the supply chain level is the decision on the distribution and delivery of goods among the members of the supply chain. In addition, the distribution chain plays an important role in achieving supply chain objectives and is a key element of customer satisfaction in delivering timely and high quality orders. Logistics is also a crucial part of any business, so given the high share of logistics costs in total business costs, it can be easily concluded that making small and reasonable improvements to logistics costs can greatly impact the profitability of each manufacturing and service industry. To have a country.
In this regard, in this study, a mathematical model is developed to reduce latency and shipping costs in parallel machines with distributed packages and use of third party logistics companies by considering genetic algorithm; this model contributes to efficiency and reduction of logistic costs. It helps. The model also addresses the issue of parcel delivery schedules using third-party logistics companies, which reduces costs. Therefore, the delay times will be less when the packaging is considered. Also, when it comes to packaging, shipping costs are reduced compared to companies that do not consider packaging. In addition, the scheduling problem is related to NP-hard issues, and adding other decisions such as packaging adds to the complexity of these issues. Therefore, the computational complexity is a major obstacle to address these issues. Thus, in an attempt to find quality answers at a rational time, a genetic algorithm is being developed here. Finally, a case study was used to evaluate and evaluate the usefulness of the model used, and thus important and useful results were obtained.
