and multi objective model

.In this study, in the form of development, a mathematical model for evaluating customers of a multi-product green supply chain is presented, while practical concepts such as customers are examined by considering green indices. The goals that we will address in this study include minimizing access time for the best customer orientation. One of the basic and important factors in attracting customers is timely delivery time. Another concept that will be examined in this research in the development of mathematical model is the delivery rate. Today, the scope of suppliers' activity in a supply chain includes a wide range of customer needs. Among these cases, upstream currents in the direction of the supplier and downstream currents in the direction of the consumer are considered. Among other things, pay attention to the delivery rate. In this study, three consumer segments are defined based on their buying behavior and green consumers, incompatible consumers and red consumers. A planning model proposed to optimize the supply chain network for a retailer is developed, which includes manufacturers, carriers, and distribution centers based on the green expectations of consumer sectors. In addition, a set of scenarios will be evaluated in order to understand the impact of a higher determinant level on this solution.

Regarding the complexity of IT service management (ITSM), the purpose of this study is to provide a mathematical model for evaluating and selecting ITSM solution. Through this research, a new classification of functional and non-functional requirements as well as a fuzzy multi-objective model is presented. The functional requirements derived from the ITIL processes generally include: strategic requirements, design, transfer, operation, and continuous service improvement. In addition, three requirements for availability, capacity and occurrence were carefully examined. a total of 64 criteria for assessing ITSM systems are provided. The developed models with fuzzy approach also include 5 objective and 7 constraints that were implemented with fuzzy multi-objective Technics. The proposed model was used to evaluate and select the software in the IT service provider company. The proposed model not only helps the organization to choose the best supplier, but also helps identify the supplier's weaknesses, reduce decision-making time, and increase the accuracy and ease of decision-making. The results of the methods that used to solved the model show that the MOPSO algorithm has the best result than the other three ones. Respectively NSGA2, Goal programming and epsilon constraint were ranked in the following order.