فصلنامه مدیریت زنجیره تامین
پیاپی 48 (تابستان 1394)

Competitive facility location focus on locating facilities by considering the fact of competition in businesses, so every facilities try to reach their reachable shares through competition. Reachable shares have an indirect relation with the distance of facilities to the customer and a direct relation with the attractiveness of the facility. Attractiveness of any facility is depend on variety of reasons such as quality and price. All these factors have a special weight for each customer in different places. In this proposed model, mentioned factors are considered and customers are classified in different branches which in every one of these branches price and quality have different weights. The model is solved in three step. In the first step attractiveness of the facility will be clear, in the second step suitable place for location will be specified and finally at the final step the quality and price of new facility in optimized place will be shown. An example is solved at the end to validate the model.

From the beginning of emerging concept of supply chain, a variety of strategies or paradigms have been developed for supply chain organizations. The most important paradigms are four main paradigms, namely the lean, agile, resilience and green. Each of these paradigms has advantages and disadvantages. Using the benefits of this paradigms and the plan to eliminate the disadvantages of each paradigms in the supply chain activities, increases the potential for value creation in the supply chain. Thus, this study seeks to explore the integration of four paradigms to supply chain management using Dematel Technique. For this purpose, the first step is to examine various models of integration paradigms were and finally, LARGe supply chain management model, was chosen as the most comprehensive model in this context, and some changes in the parameters of this model were given by opinion of Saipa Company experts. After finalization of these factors, to determine the relationship between the criteria used Dematel. The results show that the most effective criteria In order to influence are resilient approach, cost, focal firm and product quality.

A few years after the implementation of computerize maintenance management systems (CMMS), showing the analysis results of the collected data in these systems is necessary and important for continuing the usage of these systems. Equipment downtime and cost data can identify patterns of equipment faults and equipment costs. It can also show deficiencies in the implementation of maintenance systems. Detection of failures and important factors of failures such as the type of mission, geographical conditions, quality of parts and soon helped to classify and determine the cost norms based on the type of mission. These analyses can help managers to make appropriate decisions more accurately and make proposals for improving the systems.Data mining can provide a view of equipment readiness and the factors that affecting them. This view can be used to estimate the costs of maintenance and repair of equipment. Knowing the time of certain failures can be used to plan maintenance program. The issues are useful for improving knowledge and culture in the implementation of equipment. These analyses caused better and more accurate maintenance and usage of equipment.In this paper, we introduce some data mining applications in maintenance and repairs activities. It shows some hidden rules discovered from data of equipment maintenance systems in a case. Clustering models, neural networks, decision trees, visualization and descriptive statistics are used in this case study and some of results introduce in this paper. The findings show that there are certain pattern depending on the type of mission and how to use the equipment.

In today’s global economy, the intense competition among organizations has led them to work in condition of uncertainty whereby high risks are faced. These risks have negative impact on the supply chain of companies and can lead to reduce profitability and competitive advantages. Supply chain management should go to the different and innovative approaches to able in dealing with the disruptions. Creating a resilient supply chain could be the appropriate answer; however, this is a new area of research that still needs to be investigated further. To this end, this paper investigates this approach and analyses the supply chain and the risks and disruptions it faces determines enablers and practices of resilient supply chain and also, the influence of resilient practices on supply chain performance and competitiveness by some evidence of different studies related to it. Finally, a framework proposes to improve resilient supply chain performance. As a result, this research can provide better understanding of supply chain resilience for managers of companies in order to maintain their competitiveness and improve their supply chain performance.

Here in this research, a article is presented for the statistical discrepancy vehicle assets and machineries. There is more than a model for the cause detecting of the discrepancies, many of which had been surveyed to ultimately introduce the proposed model of the research. The frame-work includes, as its main processes, the followings: the selection of the Basic Criteria and the annexed Sub-criteria, prioritize these and drawing the Cause & Effect diagram. In the data gathering phase of the research, the "Interview & questionnaire" technique was used as a tool. The statistical population includes the experts, specialists and the managers practicing and working in the supply & support Dept. of the Corps, enjoying a good familiarity with the domain of assets control. To examine the correctness of the criteria selected, two series of questionnaires were distributed among 30 experts, with an amount of 27 gathered back. The Lawshe formula was used, with some modifications involved, to approve the justifiability of the questionnaires and the Durability of these questionnaires was also checked benefitting the Statistical Analysis Method and the SPSS software that brought out the Choronbach's Alpha Number bigger than 0.7 which approves the favorite durability of the questionnaires. Eventually, the main causes of the discrepancies were found as to fall among the followings: the Registration and Handling of the goods information, Reporting the goods information, Property Control Methods, Standardization and Documentation, Property Control Management, Organizational Structure, Information Technology, Human Resources Management, Neglecting the Statistical Values in the up-steam documents and the Education, as well. These causes and the sub-causes were categorized using the ANP Network Analysis Process, resulting in the drawing of the chart for the statistical discrepancies (Vehicle Assets and Machineries) & cause and effect diagram.

Minimizing service cost and adverse effects on environment and society are important in waste management. Due to this, landfill and transfer station location become important. This article as a practical research uses Analytical Hierarchy Process in Multi Criteria Decision Making considering environmental and social criteria in levels of Benefit, Opportunity, Cost and Risk (BOCR) for potential locations and use of results in multi objective modeling gives a novel framework finding locations. The proposed model has two objectives trying to minimize transportation costs and maximize environmental and social scores for potential locations, solved by weighting method. This process applied in Tehran to find landfill and hub optimal location. According to conditions, GhaleNo region for landfill and Mehrabad for hub is selected, increasing waste collection effectiveness, decreasing costs, environmental and social problems.

Management model desirable to establish the life cycle of various commodities in different organizations is a closed-loop supply chain.In this paper, according to classic models in white and brown goods, a unified framework is used to implement in a military logistics company. It seems that using this model, improved lifecycle management, environmental conservation and improvement of services provided to stakeholders and customers.