Özet:

Today, with the development of technology, the supply in many products, the demand for the product has passed, which has increased the competition between. Companies must take into account the customer’s needs in their products, produce the product of the desired quality at lower costs and be able to reach the customer. One of the important elements that increase the production/service costs of is the logistics activities. Vehicle Rotation is one of the topics concerned by the logistics management. The aim of this study is to develop solutions for the problem of vehicle rotating for a medium company that collects cargo requests from e-commerce sites located in Istanbul and enables shipping to the desired location. The company’s long-term plans include an integration of a vehicle rotating module specific to the operating limits in order to reduce the collection costs. The business’s service to various markets and the diversity of the product range(ii) sold in these markets, and the number of enterprises providing these products(iii) are considered to be the problem addressed in the work framework of the NP-Zor problem class. In literature, intuitive or meta-intuitive methods are preferred to solve such problems rather than deterministic models. In the framework of the study, many intuitive algorithms for business limits have been tested and the results of the Sweating algorithm 2-Opt tour developer intuitive and Guided Local Search intuitive from the Google OR solution tools have been presented. The algorithms are encoded in Python and the solutions are obtained using a computer with Windows 8.1, i7 4710MQ, 8 Gb RAM features. Guided Local Search requires the total collection time, but the number of tools needed has beenined. Both intuitive found the conclusion that the company could decrease the number in the vehicle fleet to half.

Anahtar Kelimeler: