Sharif University of Technology Scientia Iranica 1026-3098 24 5 2017 10 01 A fuzzy dynamic multi-objective, multi-item model by considering customer satisfaction in supply chain 2623 2639 4392 10.24200/sci.2017.4392 EN Shabnam Fazli Besheli Department of Industrial Engineering, Mazandaran Institute of Technology, Babol, Mazandaran, Iran Ramazan Nemati Keshteli bFaculty of Engineering- East Guilan, University of Guilan, Rasht, Iran Saeed Emami Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Mazandaran, Iran Seyedeh Mansooreh Rasouli Department of Industrial Engineering, Mazandaran Institute of Technology, Babol, Mazandaran, Iran Journal Article 2016 02 02 Customer satisfaction is an important issue in competitive strategic management of companies. Supply chain logistical and cross-functional drivers have an important role to manage customer satisfaction. Customer satisfaction depends on quality, cost and delivery. In this paper a fuzzy mixed integer nonlinear programming model is proposed for a multi-item multi-period problem in multi-level supply chain. Minimizing costs, manufacturing and transportation time, transportation risks, maximizing quality by minimizing the number of defective products and maximizing customers’ service levels are considered to be objective functions of the model. Furthermore, it is assumed that the demand rates are fuzzy values. An exact -constraint approach is used to solve the problem. The problem is computationally intractable. Therefore, the Non-dominant Sorting Genetic Algorithm (NSGA-II) is developed to solve it. The Taguchi method is utilized to tune the NSGA-II parameters. Finally, some numerical examples are generated and solved to evaluate the performance of the proposed model and solving methods. https://scientiairanica.sharif.edu/article_4392_111be78bd234eda9053db453285f1503.pdf