فصلنامه چشم انداز مدیریت صنعتی
پیاپی 3 (پاییز 1390)

Abstract Some problems and issues of industrial, social and management has its own complexities and assumptions are simple and managerial insights are not solved. Dynamic systems thinking approach to modeling and system factors and ultimately find a proper solution for it. Summary, the purpose of identifying a system to obtain the system model using input data and output, which is helping several experiments have been made of the same system. Considering the importance of Answer to Seize Rat (ASR) in communications in trying to thoroughly investigate the use of dynamic systems thinking, identity system that creates different ASR over time be identified and assessed to be

An important phenomenon in supply chain management, known as bullwhip effect, suggests that demand variability increases as one moves up a supply chain. In this paper, we investigate the influence of advanced and traditional methods to forecasting lumpy demand on the occurrence of bullwhip effect. Knowing the fact that neural networks can better model and forecast the nonlinear and chaotic behavior of lumpy demands in comparison with traditional and usual methods such as exponential smoothing, this paper efficiently employs neural networks as the main core in the proposed forecasting system. Further with the help of a numerical example it is shown that utilization of neural networks was more beneficial and successful in comparison to other forecasting techniques in terms of reduction in bullwhip phenomenon.

This research defines the optimal allocation of energy resources of Iran to different sectors using a multi-objective linear programming. Sectors are residential and commercial,transportation, industries, agriculture, exports, injection to oil reservoirs and power plans as a secondary energy producer.In this paper, the energy allocation process is looked at from three points of view: policy, economy and environment. Actual data of Iran from 1967 to 2008 have been used to forecast and investigate validity of the model. Regarding lifting of subsidies energy resources allocation to end-uses from 2011 to 2021 has been defined and analyzed. The results provide scientific basic for the optimal allocation of energy resources in Iran.

The main purpose of this issue is that survey the Impact of Organizational Processes Integration and Making Logistic Lean on Business Performance. This issue was done by surveying in automotive industry. First of all, this issue identifies the dimension of Organizational Processes Integration in Enterprise Resource Planning (ERP) system. Then the different Making Logistic Lean dimensions are identified. After that the efficacy between these two subjects (Organizational Processes Integration and Making Logistic Lean) on Business Performance is studied. The Confirmatory Factor Analysis is used for the reconnaissance of different dimensions and then Correlation analysis is utilized to determine the relationship between each dimensions and Business Performance in automotive industry. The results of this issue demonstrate that three dimensions of Making Logistic Lean (decrease the wastes, Suppliers and Integration of supply chain) have effect on Internal and external dimensions of Organizational Processes Integration. Also the information system dimension has impact on external dimensions that along the way, it can be understood that making Logistic Lean lays the ground for increase Organizational Processes Integration. Furthermore Organizational Processes Integration and Making Logistic Lean lead to one another that beget growth of Business Performance.

Inventories may generally be clustered into two categories including items of small quantities of high value against items of low value and high quantity. In other words, a few numbers of inventory items in manufacturing firms usually account for a great value of inventory while the remaining items, though large in numbers, normally take a little value of total inventory. Therefore, as literature suggests, having identical inventory control system for all items in store is not considered as an optimum decision. ABC inventory control system suggests that, materials and manufacturing parts and components of higher cost need more attention than those of lower cost In this study, based on ABC inventory system, 77 inventory items from a regional manufacturing firm were originally classified into three categories consisting of 11, 16 and 50 items representing A, B and C classes respectively. Then, on the basis of scarcity, criticality, and firms consumptions of each item, ABC inventory system and Fuzzy classification were once again classified. The output of the combined method placed 14, 20 and 43 items in classes A, B, and C respectively.

With the development of economic globalization and extension of worldwide electronic marketing, how to manage logistics system efficiently has become a key issue for almost all of the enterprises to reduce their various costs in today’s competitive environment of business, especially for many multinational companies. Integrated logistics network design is a way to avoid sub-optimality caused by a separate, sequential design of forward and reverse logistics networks. This paper proposes a mixed integer linear programming model to minimize the total costs in a multistage forward/reverse logistics network. two meta-heuristic algorithms, Team Process Algorithm (TPA) and Memetic Algorithm (MA) are applied to logistics network design problems. The performance of the algorithms has been compared together and evaluated in consideration with best solution and CPU time as effectiveness and efficiency criteria. Based on obtained results, MA is more effective while TPA is more efficient.

This article is intended to solve two dimensional cutting problem. In these problems, larger rectangular plates, divided into smaller rectangularsegments. Aim of these problems is minimizing the number of used plates or the waste of plates by considering demand. Cutting problem is a NP-Hard problemthat optimization methods will not be able to solve them. For this reason, inthis article the meta-heuristic algorithm, Particle SwarmOptimization (PSO) is proposed. To enhance the efficiency of algorithm and preventing overlap in cutting problem, the CUL algorithm is presented. In order to investigate the results of algorithm, new softwarehas been designed, according to the developed Algorithm. The best cutting pattern is Output of this software. Inputs are length and width of main plate and number and dimension of segments.