sahar sharifian jazi; Ali Mohammadi; abbas abbasi; Moslem Alimohammadlou
Volume 28, Issue 2 , July 2024, , Pages 146-183
Abstract
Today, in order to implement the circular economy and Industry 4.0 in supply chain management, there are challenges that by identifying and analyzing these challenges, these concepts can be implemented in the organization and benefit from their benefits. The purpose of the current research is to investigate ...
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Today, in order to implement the circular economy and Industry 4.0 in supply chain management, there are challenges that by identifying and analyzing these challenges, these concepts can be implemented in the organization and benefit from their benefits. The purpose of the current research is to investigate and determine the relationship between the challenges of implementing the circular economy and Industry 4.0 in supply chain management using qualitative content analysis and intuitive fuzzy cognitive mapping. In this regard, with qualitative content analysis, effective challenges in the implementation of circular economy and industry 4.0 in supply chain management were identified and classified in 4 cultural-educational, financial-legal, infrastructural-technological, organizational-strategic dimensions. have been Then with intuitive fuzzy cognitive map and FCMaper and Mental Modeler software for the challenges of "lack of tracking system and access to recycled materials", "lack of integration of internal and external value chain" and "lack of effective communication with logistics partners" and suppliers" who have been most effective, the scenario is designed backwards. In the next step, for the challenges of "lack of knowledge of Industry 4.0 and the circular economy and its consequences", "lack of proper training", and "lack of a suitable strategy for Industry 4.0 and the circular economy", which have the most impact, design forward scenarios has been The results of this research enable managers of organizations to identify these challenges and plan to overcome them before implementing the circular economy and Industry 4.0.
Saeed Roshandel; Mohammad Hossien Karimi Govareshaki; Morteza Abbasi
Volume 27, Issue 2 , July 2024, , Pages 72-94
Abstract
Outsourcing has been the most common method of cooperation. Today, issues such as increased competition, limited resources, technological complications, uncertainty about the future and increased costs have caused organizations to reconsider their management model and turn to new strategies. In such ...
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Outsourcing has been the most common method of cooperation. Today, issues such as increased competition, limited resources, technological complications, uncertainty about the future and increased costs have caused organizations to reconsider their management model and turn to new strategies. In such a situation, strategic alliances can replace outsourcing. The purpose of this article is to design a model to evaluate the current state of an outsourcing and to investigate the possibility of developing it into a strategic alliance. For this purpose, in this research, by studying the literature on the subject, examining examples of strategic alliances and also interviewing experts, a list of effective criteria on the formation of a strategic alliance was prepared and categorized into 6 dimensions. Then, using the content validity ratio method, unnecessary criteria were identified in this list. After that, using fuzzy data envelopment analysis without explicit input method, the best combination of weights for essential criteria was obtained. In the next step, by specifying the minimum values for the formation of a strategic alliance for each of the criteria and dimensions of the model, it is possible to compare the current state of the contractor with the minimum value necessary for the formation of a strategic alliance. Results indicates that through this comparison, organizations can identify their weak points in order to become a strategic ally and plan to improve these criteria and, as a result, succeed in developing strategic allies.
Elahe Shahabi; Asadolah Kordnaeij; Seyed Hamid Khodadad Hosseini
Volume 25, Issue 4 , January 2022, , Pages 159-180
Abstract
In today's turbulent economic environment, companies are struggling to find ways to achieve sustainable competitive advantage. One of these methods is supply chain management to reduce costs and improve performance to create a competitive advantage and business success. The purpose of this study is on ...
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In today's turbulent economic environment, companies are struggling to find ways to achieve sustainable competitive advantage. One of these methods is supply chain management to reduce costs and improve performance to create a competitive advantage and business success. The purpose of this study is on how to use supply chain management by pharmaceutical distribution companies in Iran and its role in the success and competitiveness of companies. The method used in the research is a mixed method (qualitative and quantitative). Data collection in the qualitative section was done during an in-depth interview with 30 experts from Iran's top pharmaceutical distribution companies, based on which categories were extracted; Then, in the axial coding stage, the link between these categories was made based on the study of causal conditions and its effect on the central phenomenon of "drug distribution chain management strategy development", as well as the effect of contextual conditions and intermediate conditions on strategic factors The format of the coding paradigm was determined; Then, in the selective coding stage, each component of the coding paradigm was described, the storyline was drawn, and the theory was created; Finally, the research propositions of the research were compiled. In the quantitative stage, the questionnaires were distributed among the top 16 drug distribution companies and the model extracted from the quality section was tested with the help of partial least squares software. Finally, the mentioned model and the hypotheses were confirmed.
Mojtaba Omidi-Rekavandi; Reza Tavakkoli-Moghaddam; Ali Ghodratnama
Volume 17, Issue 4 , January 2014, , Pages 43-63
Abstract
Nowadays, reverse logistics is one of the major activities of supply chain management that are included all of physical activities related to returned products (e.g., collection, recovery and recycle). So that, designing and implementing of appropriate reverse logistics, not only lead to increase customer ...
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Nowadays, reverse logistics is one of the major activities of supply chain management that are included all of physical activities related to returned products (e.g., collection, recovery and recycle). So that, designing and implementing of appropriate reverse logistics, not only lead to increase customer loyalty, but also it will be reduce the inventory and transportation costs. This paper presents a mixed-integer linear programming (MILP) model for the network design of forward and reverse logistics, which minimizes the costs consisting of the fixed cost, material cost and construction of the potential center cost. To validate this model, a number of test problems are generated, and then its parameters are determined. The presented model is solved by the Lingo software and the associated computational results along with the sensitivity analysis are illustrated. Additionally, the returned products with different demands for one and two products are illustrated. Finally, the remarkable conclusion is presented.
jahanyar bamdad soofi; seyed mohammad ali khatami firooz abadi; elaheh bigdeli
Volume 17, Issue 4 , January 2014, , Pages 119-138
Abstract
In modern business environments, agility is advocated as the fundamental characteristics for competitiveness. Little research, however, exists which provides integrated methodologies suitable to be practically adopted to enhance agility of companies. In this research, we utilized an original approach, ...
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In modern business environments, agility is advocated as the fundamental characteristics for competitiveness. Little research, however, exists which provides integrated methodologies suitable to be practically adopted to enhance agility of companies. In this research, we utilized an original approach, which, by linking competitive bases, agile attributes and agile enablers, aims at identifying the most appropriate enablers to be effective for increasing company´s agility. The approach is based on the quality function deployment (QFD) methodology, and, in particular, on the house of quality (HOQ), which has been successfully adopted in the new product development field. The whole scaffold exploits fuzzy logic, to translate linguistics judgements required for relationships and correlations matrixes into numerical values. In point, this approach applied in Auto Part industry (case study: Bahman Khodro Group) and identified suitablt enablers in this industry. Supply chain management in this industry was recognized as the most important enabler . knowledge management, information technology, concurrent engineering, team building, project management, hardware, and were then placed in the ranks. The main limitations of this research can be time consuming due to the calculation of the QFD cited. In this study, due to better express dependencies and Correlations at HOQ fuzzy numbers were used to describe the relationship accurately.
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Volume 16, Issue 3 , September 2012, , Pages 39-58
Abstract
The use of System Dynamics Modeling in Supply Chain Management has only recently re-emerged after a lengthy slack period .the propose of this thesis is to use knowledge and techniques in implementation based on recent research .At first we have given an overview of supply chain management and system ...
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The use of System Dynamics Modeling in Supply Chain Management has only recently re-emerged after a lengthy slack period .the propose of this thesis is to use knowledge and techniques in implementation based on recent research .At first we have given an overview of supply chain management and system dynamics and then presented a taxonomy of research and development in System Dynamics Modeling in supply chain management. In this research we have focused on a supply chain as a case study Which produce and distribute healthy products and its main company is darugar. we used System Dynamics techniques to know effective variables in our supply chain and understand how to improve its performance .we started simulation model design by explaining dynamic hypothesis and continued by creating casual loops, stock & flow diagrams and mathematical formulation .our model was tested by famous dynamics and statistical techniques and then we started to investigate causes of supply chain’s behavior by sensitivity analyses. when we understood the main factors and their interactions completely we started to suggest three policies due to supply chain indexes to improve its performance .the policies are missed sale reduction ,inventory reduction and correct information receive which all causes improvement in introduced indexes in our research .what we achieved of this research was our ability of predicting results before any changes in parameters ,relationships or structure of supply chain and it is so important due to its high degree of complicity.
Ahmad Jafarnejhad; Majid Esmaelian; Masood Rabieh
Volume 12, Issue 4 , January 2009, , Pages 127-153
Abstract
One of the most important permanence factors in today’s competition environment is decreasing of the cost of the products. Selecting the appropriate suppliers can significantly reduce the purchasing cost and increase organization competitiveness. It is due to the fact that in most industries, the cost ...
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One of the most important permanence factors in today’s competition environment is decreasing of the cost of the products. Selecting the appropriate suppliers can significantly reduce the purchasing cost and increase organization competitiveness. It is due to the fact that in most industries, the cost of raw material and component parts includes the main cost of a product. The aim of this paper was to introduce a fuzzy decision making approach for supplier selection problems in supply chain. Most of such decisions are unstructured and many of the performance criteria such as quality, cost, flexibility and delivery time to determine the best supplier should be considered. In this paper, verbal variables were used for evaluation and determination of the performance of supplier under each criterion and determination of the weight of the criteria. Verbal variables were described by means of the triangular and trapezoid fuzzy numbers. Furthermore, the priority and the rank of suppliers by fuzzy multi-criteria decision making were determined. Finally, an example was presented to the process of decision making.
Seyed Mohammad Seyed Hoseini; Amir Bayat Tork
Volume 9, Issue 2 , July 2005, , Pages 59-89
Abstract
The lean production is a philosophy and new view of product, which its birthplace is in Japan. This approach was prevailed in Europe and U.S.A. later on and highly welcomed there by many vehicle manufactures. In this method, it is tried to minimize the wastes and maximum productivity is obtained by all ...
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The lean production is a philosophy and new view of product, which its birthplace is in Japan. This approach was prevailed in Europe and U.S.A. later on and highly welcomed there by many vehicle manufactures. In this method, it is tried to minimize the wastes and maximum productivity is obtained by all facilities, human resources and capital.
The present article while introducing factors and particularities of lean production, tries to present a model which can compare the rate of compatibility of productive factories with criterions and specialties of lean production by using dimensional analysis (DA). According to researches done in this regard, the factors of lean production are divided into 9 major factors and 85 minor criterions. Then, integrity of effective factors is analyzed using statistical techniques of corelalion coefficient, multi-regression coefficient and analysis factor.
One of the particularities and innovations in this article is the usage of lean production in factories for made to order. Because, most of the past researches have been a car manufacturing which has continues and based on product. The statistical society of this research is Sadid Industrial Group which has many large productive companies and is considered as one of the big productive companies in Iran.
The obtained results state the importance of organization and leadership in lean production and information technology, management information system, human resources and supply chain management are considered respectively as other important factors in achieveing to lean production. Also the obtained result from factor analysis states that major factors of lean production are divided into two clusters. The first group includes information technology factors, leadership and organization, human resources, organization, purchasing and logistics, supply chain management, production process management and maintenance. And the second group includes total quality management, equipment and hardware management.
