چكيده به لاتين
Abstract
Today's online shopping has gradually become the main way to make daily use. The rapid penetration of the Internet among the various segments of society and the increasing trust of people in online shopping has created a new environment for competing among different businesses. On the other hand, various shopping, payment and delivery / return channels, such as retail stores, home delivery, return exchange points, etc., are a diverse experience for consumers. In the meantime, businesses that can contribute more to customer satisfaction will be more successful than others.
In this research, a new model of routing-inventory problem with considerations of the Omni-channel and Physical internet in a direct and reverse dual channel supply chain is considered. The presented model includes an online vendor, several distribution centers, several retailer, and a post office and ultimately customers. The main objectives of this study include: reducing opening the facilities and inventory costs, reducing transportation costs, and increasing the level of customer services. In order to solve the problem, we used NSGA-II. The proposed algorithm was first compared by providing some small-scale numerical examples with exact solutions for measuring the efficiency of the algorithm. Numerical results and evaluation criteria show that the non-dominated sorting genetic algorithm (NSGA-II) is functional close to the optimal solution of problem. Finally, by using this algorithm, we solve the problem model of our case study (Digikala Company) and extract its results.
Keywords: Dual-Channel Supply Chain, Direct and reverse Supply Chain, Omni-Channel, Physical Internet, Non-dominate Sorting Genetic Algorithm
