Ehsan Yadegari; Akbar Alem Tabriz; Mostafa Zandieh
Abstract
Over the past decade, due to environmental laws and the competitive environment, development of an effective tactical plan for efficient and integrated supply chain and considering the responsibility of organizations to collect defective goods seems impossible. In this paper a mixed-integer linear programming ...
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Over the past decade, due to environmental laws and the competitive environment, development of an effective tactical plan for efficient and integrated supply chain and considering the responsibility of organizations to collect defective goods seems impossible. In this paper a mixed-integer linear programming is considered to mathematically model the essentially five stages along our supply chain network: suppliers, manufacturers, DCs, customers, and Dismantlers.Delivers raw materials from suppliers to factories and then through distribution centers, delivering the final product to customers. On the other hand, it simultaneously collects recycled goods from customers and enters the cycle of safe reconstruction or destruction.The aim of this model is minimizing the costs of establishing facilities at potential points as well as the optimal flow of materials in the network layers. Since the problem is NP-hard, to solve it, the cloud theory based simulated annealing algorithm has been used. We also used the tree-covering method to show the answer, which uses fewer arrays than other methods in the literature. To analyze the accuracy and speed of the proposed algorithm, we compared its performance with the genetic and simulated annealing algorithm. The results show that the cost function in the cloud-based refrigeration simulation algorithm provides more accurate answers than both algorithms studied in the literature. The results show that the cost function in the cloud-based simulated annealing algorithm provides more accurate answers than both algorithms studied in the literature. Also, in terms of convergence rate criterion, the proposed method has better position than the genetic algorithm, but it is not significantly different from simulated annealing algorithm.
Akbar Rahimi; Abbas Raad; Akbar Alem Tabriz; Alireza Motameni
Abstract
The production of defense products is indispensable because of the role it plays in deterring and promoting the national security of the country, and, on the other hand, the economic conditions prevailing in the country have made production of defense products at the lowest cost an obligatory requirement. ...
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The production of defense products is indispensable because of the role it plays in deterring and promoting the national security of the country, and, on the other hand, the economic conditions prevailing in the country have made production of defense products at the lowest cost an obligatory requirement. The lean supply chain of defense industries by focusing on waste removal and reducing costs, is an answer for producing lower-cost defense products. The purpose of this research is to identify the most important practices of the defense industries lean supply chain, and then, using exploratory and confirmatory factor analysis, the categorization and verification of the practices based on Structural Equation Modeling (SEM), and then, using the Interpretive Structural Modeling (ISM) model, presents a model that shows the relationships between these practices. The power of driving and dependence of practices are also analyzed using the MICMAC technique. The results of the research show that out of a total of 84 practices introduced in the previous research for the lean supply chain, 94 practices are effective in the lean supply chain of defense industries. It consists of 8 categories and includes: Workshop level management, Quality management, just in time, Repairs and Maintenance management, Human resource management, Suppliers relationships, new products design and Customer relationship. Customer’s relationship as the most basic and most driving practice and supplier relationship is the most dependent practice of the defense industries lean supply chain.
Abdolreza Sedighpour; Mostafa Zandieh; Akbar Alem Tabriz; behroz dori
Abstract
Within two recent decades, the complexity of business environment, dynamics, uncertainty and higher environmental fluctuations, concepts such as globalization and increasing competition made many changes in the equations ruling on the industries supply chain. In such conditions, the businesses must make ...
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Within two recent decades, the complexity of business environment, dynamics, uncertainty and higher environmental fluctuations, concepts such as globalization and increasing competition made many changes in the equations ruling on the industries supply chain. In such conditions, the businesses must make themselves ready for encountering the continuous flow of challenges such as economic crises, sanctions, exchange rate and prices fluctuations, limitations of manufacturing system or natural disasters. “Resiliency” is one of strategies for dealing with such challenges. The present study aims to review the systematic studies based on the strategic position of pharmaceutical industry as a part of society’s health system and present here the resilient supply chain model. For this purpose, in addition to contemplating in the literature review, interview to the experts and using Delphi method, the resilient elements and indices of supply chain were identified and extracted, and a questionnaire was designed and provided to the population of pharmaceutical industry. The results were analyzed using structural Equations modeling technique and Lisrel software, and the proposed model of research was accepted upon explaining the associations between factors. This model studied the relationship between elements such as drivers, vulnerabilities, capabilities and empowerments of supply chain and their effect on each other. Summary of study indicates that the managers of pharmaceutical industries through making or using the capabilities and strengthening the empowerments can reduce the factors that make the companies susceptible for the disruption, and achieve the required resiliency to deal with them.
Seyed hadi Mirghaderi; Akbar Alam Tabriz; Hassan Farsigani,; Farhad Farzad
Volume 13, Issue 38 , October 2015, , Pages 1-25
Abstract
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 ...
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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.
akdar alam tabriz; amirsalar mohammadi; mir saman pishvaee
Volume 11, Issue 28 , April 2013, , Pages 21-40
Abstract
Economic Development of countries caused damages in environment and society. This issue created three dimensional concept for development, based on economy, society and environment that named as a sustainable development. Mining industry is one of the industries that always faced with challenges of sustainable ...
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Economic Development of countries caused damages in environment and society. This issue created three dimensional concept for development, based on economy, society and environment that named as a sustainable development. Mining industry is one of the industries that always faced with challenges of sustainable development. Based on this issue and based on need for evaluation tools in sustainable development, this article is specified to recommending suitable tool for evaluating sustainability of development in mining industry. For this purpose after investigation of literature, balance scorecard recognized as a suitable tool, then international indicators are localized based on the expert opinion and Iran mining industry situation, and put in BSC aspects. Finally by using AHP method importance weight of BSC aspects and indicators calculated for recommending quantitative tool to mining industry organizations
