فصلنامه مطالعات مدیریت صنعتی
پیاپی 38 (پاییز 1394)

Industrial clusters are one of the new approaches in industrial development of developing countries which has recently attracted the attention of many researchers and policy makers. Clustering has positive economic effects on the region and also increase the competitiveness of the small and medium enterprises (SMEs).But success level of all clusters is not the same because their performances are different. The subject of clusters performance has various aspects and contains a wide range of result areas. This is due to cross-organizational nature and complexity of the internal functions and external effects of cluster as a comprehensive model of industrial cluster performance dimensions have not been presented so far.Precise definition of performance dimensions can reduce (part view) which is based on point of view to clusters and also study of cluster development proceedings with comprehensive approach can be applicable. This study aims to identify the performance dimensions of industrial clusters by classifying the performance measures of industrial clusters and present a model for comprehensive evaluation of industrial clusters performance. For data analysis the method used in this study is cluster analysis which integrated the Classifications of 31 experts used heuristic method and based on that, four performance dimensions of industrial clusters including financial, competitive, economic and environmental along with components and measures of each were extracted.

The newsboy problem is considered as a single period problem which is very common in our real life. This paper study the newsboy problem considering the discount constraint including quantity and incremental and also warehouse space and budget constraint with two objectives of profit and service level maximizing. These objectives are designed by an integer non - linear model. This model is solved by using GAMS software and various multi-objective techniques considering this assumption that each product distribution is uniform.Also comparison of methods has been done in tow forms of statistical comparison and multiple decisions.

Accurate scheduling of project is one of the main fundamentals and essential success factors of the project management and also accordance of planning and implementation is considered as the main subject of project management. In this paper, it is tried to propose a practical and suitable system in order to schedule various projects more accurately. Currently Program Evaluation and Review Technique (PERT) is used extensively for management of large- scaled projects. In traditional methods of PERT technique, implementation time of each activity is obtained in the form of definite figures or through Beta Distribution but in the real world; it is very hard to estimate the practical implementation time of each activity in an accurate way. By using fuzzy logic in order to overcome the problems related to uncertainty, fuzzy expert system is designed which many limitations and factors affecting the project completion time have been considered in this article. In this regard, output and input parameters of the system have been acquired by questionnaire and validation of the results has been analyzed. The obtained results indicate high power of the system in controlling different situations affecting the project completion time.

There are several different factors in industrial processes, which may have an impact on final product specifications. In this paper, the nonlinear multi-objective mathematical modeling for the 5 qualitative characteristics of polyethylene terephthalate (PET) as one of the most widely used products in petrochemical industry is done by 9 Key parameters affecting the production process. For this purpose, Response Surface Methodology that is the combination of experiments design and statistical tests is applied along with Artificial Neural Network and Metaheuristic algorithms.

Today, field of production and service is faced with competition among the supply chains by changing the competition pattern of the independent companies. Most of the small and medium businesses (SMEs) still use traditional viewpoint for supply, production and distribution planning. It means, each of these SMEs plan their tasks independently, this will increase the total cost of the supply chain in many cases. In this study, a robust model of inventory-locating supply chain is proposed in three-level with uncertain demand. The model has been considered in single-period, multi-product state along with some transportation models with three levels of producers – distributors- retailers in certain and robust mode. Considering some transportation models along with robusting the model and the possibility of sending goods directly from the factory to the retailer is one of the innovations of this study. The objectives of the proposed model are to minimize the total cost of the three-leveled supply chain and to find the amount of safety stock. The certain model is solved by GAMS and the robust model is also solved by GAMS in single-objective mode and then transferred to the augmented ε-constraint method. The results have been discussed after solving the model.

Considering the increasing demand for operational activities in ports, ports managers are facing the challenge of optimal usage of port facilities and equipment. (In the last two decades, maritime transportation systems have been experienced an increasing development. Now the rate of development in this section has been reached 8 percent per year. Nowadays, the port managers are faced with the challenge of optimal use of equipment and facilities). One of these challenges is to reduce the waiting times of ships at the ports.so that in this study, placing the buffer area for loading and unloading cereals has been investigated using a simulation optimization model based on queuing theory at SHAHID RAJAEE port. Three important criteria of the port performance have been considered including the ship turn-around time, number of loaded ships and loading norm. The results indicate that optimization of cereal transportation between the buffer area and the port can increase the capacity of transportation and loading- unloading capacity up to (The results show that the proposed model can increase the capacity of loading and unloading of the system up to %15.5 between the port and buffer area.)

This paper considers production scheduling and delivery problem together and is trying to integrate both of them. Retailers order includes different types of products that have been processed at a distribution center. After completing the order process at the distribution center, products are delivered to the retailer in window time; otherwise the distribution center is required to pay the penalty cost of window time to the retailer. The aim of solving this problem is to determine the production sequence, retailer need to heterogeneous vehicles and the visiting sequence of retailers with respect to the delivery window time. In this paper, a mixed integer linear programming model is provided in which the total cost, including the cost of vehicle routing, fixed costs and penalty costs have been minimized.in order to solve the proposed mathematical model, two approaches of CPLEX solver of GAMS software and Relaxation Lagrangian algorithm have been used. At first, by using different samples, the efficiency of Lagrangian Relaxation algorithm had been confirmed in small sizes, and then it is used in order to obtain an acceptable optimal solution in large sizes in a reasonable period.