mohammad hadji molana

This study, in a pharmaceutical industrial zone, including relationships between suppliers, manufacturers and customers, are optimized using the concept of supply hub under 3PL management. In this regard, a new model for the supply chain of this industrial zone has been proposed in a sustainable approach, in which the economic, social and environmental axes are considered and then carefully solved by GAMS software. The goal is to minimize the costs imposed on the system, comprising the operating cost of the supply hub, the cost of transporting raw materials and products, the cost of ordering, the cost of storing raw materials and finished products, the cost of shortage of finished products considered as back-ordered, the cost of hiring and firing as well as the cost of destroying the waste of these pharmaceutical factories. An efficient heuristic relaxation-based approach is proposed in this paper. Then, a series of sample instances inspired by the case study have been implemented. The results obtained by GAMS and the proposed heuristic method are compared. Finally, to understand the sensitivity of different axes of the sustainability approach, several sensitivity analyses have been conducted and useful managerial and operational insights are presented for top management of such industries.

We are living in an era that innovation is increasingly growing and products’ lifetime is decreasing. In this situation new product development is an advantage that makes it possible to survive in the competitive market. However, risks are unavoidable in new product development in any industries. Therefore, identifying, management and mitigation of risks are considered of high significance for companies. By taking risk management into account, this study introduces a new, multi-objective, mathematical model for supply chain configuration in the presence of a new product. The considered supply chain is multi-echelon, multi-resources, multi-period, and multi-product. In order to manage the risk in this supply chain, appropriate mitigation strategies were chosen from various risk response strategies considering their cost and effectiveness as well as influence of each choice on supply chain was also taken into account in the mathematical model. The assumed model explored the optimum tactical and operational SCM decisions. The ability of the model was assessed by solving an example. The result showed that the choice of various response strategies as well as new product production influenced supply chain configuration.

In this paper, the researchers presented a multi-objective model for multi-product, multi-site aggregate production planning model in a supply chain. The goals are to minimize the total cost of the supply chain, including inventory costs, manufacturing costs, work force costs, hiring, and firing costs, and to maximize the minimum of suppliers’ reliability by considering probabilistic lead times tosimultaneously improve performance of the system. Since the problem is NP-Hard, a Pareto-based multi-objective harmony search algorithm is proposed. To demonstrate the performance of the presented algorithm, a non-dominated sorting genetic algorithm (NSGA-II) and a non-dominated ranking genetic algorithm (NRGA) are applied. The results demonstrate the robustness of the proposed algorithm to probe the Pareto solutions.