چكيده به لاتين
Today, manufacturers are choosing innovative technology options, reengineering processes and strategies such as efficient supply chain management to achieve sustainable competitive advantage. Today, companies have increased the flow of recurrent products due to product recall, return guarantees, recursion services, product end-of-life, product end-of-life, and similar reasons. In this research, we are looking at designing a reverse logistics model in a closed loop system, taking into account the warranty on garments on a supply chain, a case study in the Greenhouse Traffic Research Services Company, a major logistics network for the distribution and distribution of apparel and The office and shoes company Bahman is one of the largest footwear manufacturers.
In this research, we are going to optimize a multi-objective garment garment in reverse logistics design models in a closed loop system, taking into account the clothing supplied to customers. In their study, the use of genetic and frog algorithms could be used to optimize the optimization of a multi-purpose garment clothing in reverse logistics design networks in a closed loop system, taking into account the garment supplied to Leads customers.
The research methodology in this research is applied in terms of applied and descriptive-analytical method. In addition to studying the available resources and information, the most important issues in relation to inventory management relationship in the supply chain with the design of an optimal routing model based on the criteria obtained using field information, is to collect information. In this research, the description and explanation of the role of the factors influencing the design of the model in achieving the optimization of a multi-objective garment of garments during the reverse logistics model in the closed loop system with consideration of the garment of apparel delivered to customers is described. Since the proposed model has a complex and complex structure, in order to solve the model quickly, the method of GAI algorithms and genealogy and coding are used.
In this research, two sections have been investigated and simulated. Then we study and simulate the research in Matlab (MATLAB) in which the genetic algorithm is implemented taking into account the variables. And in the other part, using the GAMS software, to explain the results of the research variables in the form of the genetic algorithm. First Output (With regard to old products, unwanted products, unallocated and non-approved products, and recursive green products), and the second output (taking into account the workload level), the score of the system of final distribution system return items has a repaired form of warranty or replaced according to the requirements of the day and the customer's request.
We show that the first path in the first and second outputs has the best index of quality and dispersion indices. It is suggested that the researchers study the design of the reverse logistics model in the closed loop system, taking into account the warranty in other sectors. A focused research is to compare the efficiency of the reverse logistics model in a closed loop system with other models. Specific research is underway on the challenges and weaknesses of the reverse logistics model in closed loop systems. Specific research has been done on the possibility of integrating a reverse logistic model into a closed loop system with meta-algorithms.
Keywords:
Reverse logistics, Closed-loop system, Guarantee, Clothing
