فصلنامه چشم انداز مدیریت صنعتی
سال پنجم شماره 1 (پیاپی 17، بهار 1394)

Studies of production strategy and process manufacturing strategy mainly focuses on content and has less attention to the study of the configuration in this area. This configuration strategies not only gives a good description of the organization's strategic groups, but also provides a ground for more specialized studies such as performance, the best production decisions in each group and the theory of it. The main purpose of this article is to find basic features of linear production systems in production decesion variables and competetive priorities by study of successful factories with method of case study. This study is qualitative and for gathering information, pre-designed protocol has been used. To analyze the data, adjustment of the theories as well as analysis of the case and in case is used. According to the data analysis and typology, two types of linear production systems were identified, that one is market-oriented and the other is structural-oriented. identification of species was done by study of the two productive decisions and competitive priorities.

As the world has changed through breakthroughs in late century, supply chains have become more complex and this complexity has made them face risks. So managers must manage different risks in their increasingly competitive environments and risk management has become a critical component of supply chain management. The purpose of this article is apply an appropriate methodology for evaluating and ranking suppliers in an automotive manufacturing company. To gain the purpose we identified and ranked supply chain risks by using analytical hierarchical process. Then we considered these risks as selection factors in supplier selection process and rank suppliers with the help of analytical network process. In fact considering supply chain risks in supplier selection process has been proposed as a new strategy in managing supply chain risks and reducing vulnerability against risks.

In the information technology era with complex and ever changing In the information technology era with complex and ever changing national and international environment, organizations are faced with so many challenges. In this situation performance evaluation for each industry and its subsystems will be more difficult. The main aim of this study is providing an improved model for performance appraisal and insurance companies ranking with the new and nonparametric methods. For choosing the indicators related to study we used BSC and for ranking each company and determining its position among the others, data envelopment analysis was applied which is a comprehensive method for evaluating efficiency. The advantage of this study rather than previous ones is applying factor analysis and principle component analysis to provide independency between inputs and outputs and reduce and cluster them to the most important indicators as, factors. At the same time interfering the priority of each factor from the expert's points of view with applying goal programming approach makes the model more accurate. By doing so, the most efficient companies were introduced as insurer 1, 6 and 12 regularly.

By globalization of commerce and extension of communications, container terminals play important roles in countries’ economies. Most of influential and industrial countries owe their prosperity and welfare on transit industry. The time duration of clearance containers is the global criterion of measuring terminal efficiency. In addition, this criterion is considered to assess organizational structures and managerial performances so, managers have been constantly searching for remedies to decline clearance time. In this paper, a multi-objective fuzzy non-linear mathematical model under uncertainty condition of input parameters is presented, which attempts to reduce clearance time through proper allocation space to containers. After solving the model, based on the proposed three-step procedure, a numerical example is examined using exact and Lagrange relaxation methods. Our finding demonstrates that if Decision-makers want to meet uncertainty with lowered risk, they have to choose a high minimum constraint feasibility degree even though the objective function will be worse.

The existing literature on product development process is largely derived from studies on physical products. However, software products have some special features that make them interesting to study. The objective of this paper is to identify stages of software product development and to analyze the interactions among these stages using interpretive structural modeling technique. Eight main stages including analyze market opportunities, idea processing, concept generation, design development, prototype engineering, production verification, mass production and corrective versions development have been identified. These stages have been classified, based on their driving power and dependence power. The proposed process model developed will help to understand interdependence of software development stages and will offer a roadmap that may increase the chance for overall success of the new software development.

In this study the state space model and Laplace conversion for optimal control and forecast output of industrial groups were used. To this purpose, all industrial groups in the form of a system with specific data and the output were considered. Measure impacts of inputs on outputs or phrase calculated transfer function. So based on this method, state space equations in terms of all industrial groups were calculated with the Laplace transform, the behavior of industrial groups in the form of a system with multiple inputs and output was defined. With regard equations state space and Laplace, to predict and control the output of industrial groups in the future period, import input into the model and through this output was calculated. This method results in comparison with other methods showed that using state space control and forecast output is very good and the results, verify the claim determines.

The results of previous studies in Iran industry sector have revealed the fact that effective monopoly structure is dominant in more than 50% of activitiesinthe sector. The purpose of this study is to evaluate, the amount of social cost of such structure has imposed to society because of dominating effective monopoly structure in Iran industry sector. In this research, the calculations related to estimation the social cost of monopoly have been done in Iran industry in 2011, based on Posner and Harberger's indices. according to Harberger 's approach and first scenery,this index is calculated for monopoly industries, over7% of monopoly industry sale, is the social cost imposed to society.Also this ratio will be more than 26% according to Posner's index; i.e. in addition to welfare triangle, economic rent,and spend cost for monopoly power trade, social cost that monopoly industry imposes to society is about 26.7% of this sale if it is assumed as a sector of social cost.And, if basedon Harberger's approach and second scenery, this index is calculatedfor monopoly industry, more than 5.4% of monopoly industry sale, is the social cost imposed to society. This ratio, also, will be more than 23.9% based on Posner's index.