Multi-objective modeling of industrial clusters from the perspective of dynamic cellular manufacturing systems and sustainable economic development

Mamipour, Siab; Mansouri, Fahimeh; Nazemi, Ali

doi:10.22075/jem.2019.16062.1216

Multi-objective modeling of industrial clusters from the perspective of dynamic cellular manufacturing systems and sustainable economic development

Document Type : Original Article

Authors

Siab Mamipour ¹

Fahimeh Mansouri ²

Ali Nazemi ¹

¹ Assistant Professor in Economics, Department of Economics, Kharazmi University

² M.Sc. Student in Economics, Department of Economics, Kharazmi University

10.22075/jem.2019.16062.1216

Abstract

Designing an appropriate industrial clusters model as a general method in the regional economy is an important problem for economic and industrial development planners. Paying attention to the objectives of sustainable development and the green economy, in addition to the traditional objectives of economic growth, is the need of countries today. In order to meet the goals of sustainable development, the multi-objective mathematical programming and dynamic model of industrial clusters was designed and tested to optimize four objectives: profit, employment, cost of transportation of materials and environmental appraisal score of the cluster. In designing parts of the model in the assignment of firms and the establishment of relations between and within cooperation networks, the concepts and research literature of cellular manufacturing were used because of proximity of the concepts and extent of studies in this field. The problem solving results by decomposition methods and weighting functions objectives with experts' opinion and analysis of experiments confirmed that the optimal results of experiments have been presented 99% improvement in minimizing the metric function of the model.

Keywords

Industrial cluster

Cell manufacturing

Multi Objective Model

Network

Sustainable Economic Development