supply chain management
Abolfazl Sadeghian; Seyed Mohammad Ali Khatami Firouzabadi; Laya Olfat; maghsoud Amiri
Abstract
Nowadays attending to closed-loop supply chain matter for survival in competitive circumstances not only has been become a controversial topic but also has been considered as a critical topic too. Close loop supply chain has combined to direct and reverse flow (method/ manner). This paper’s goal ...
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Nowadays attending to closed-loop supply chain matter for survival in competitive circumstances not only has been become a controversial topic but also has been considered as a critical topic too. Close loop supply chain has combined to direct and reverse flow (method/ manner). This paper’s goal is presenting a model for inventory control in closed loop supply chain by multiple objective approach. This research intends to reach it's main goal including reduce expenses such as production, maintenance, transportation in direct flow also decrease the waste material and defective in reverse flow and in conclusion increase the company’s profit by desingning and optimizing multiple objective model. Hence a double purpose model in closed-loop supply chain consists three classes direct flow in which conclude suppliers, manufactures and customers. Furthermore this consists four classes in reverse flow that concludes: collection centers, inspection, repair centers, recycling centers and disposal centers. According to the article’s model, which is multipurpose, linear and integer, At the beginning the model convert to single objective by Weighting and Constraint method and then is solved by using Branch and bound algorithm and Lingo software. Finally, the model extended in Iran Khodro Company as a study case and its function validated. Results and output of model solving demonstrate its capability to be useful for planning and inventory control in closed-loop supply chain.
supply chain management
salim karimi takalo; Hamid Sharifi; ehsan bakhshi khorde blagh
Abstract
The advantage of a smart sustainable circular supply chain is to help developing economies that are most affected by the challenges and standards of the changing industry and environment. The purpose of this research was to identify and analyze the drivers of the smart sustainable circular supply chain, ...
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The advantage of a smart sustainable circular supply chain is to help developing economies that are most affected by the challenges and standards of the changing industry and environment. The purpose of this research was to identify and analyze the drivers of the smart sustainable circular supply chain, so 12 samples were selected by the snowball method from among industry experts of the edible oil. drivers were finalized with expert opinion and analyzed by Dematel and AISM methods. The results showed that organizational competence and human resource competence are the most effective drivers and economic sustainability and environmental sustainability drivers have the highest level of effectiveness compared to other drivers. According to the results of the research, the officials of the edible oil industry should pay special attention to the organizational competence in order to move towards a sustainable and smart circular supply chain, because this driver has the greatest impact compared to other drivers.
Industrial management
maryam parandvarFoumani; reza radfar; abbas Tolouie Ashlaghi
Abstract
Scientific and technological developments, especially in the field of information and communication technology, have caused significant changes in people's daily lives, and remote work has been promoted as a new approach in managing work and performing activities, especially in the conditions created ...
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Scientific and technological developments, especially in the field of information and communication technology, have caused significant changes in people's daily lives, and remote work has been promoted as a new approach in managing work and performing activities, especially in the conditions created by the Corona pandemic. This study examines the concept of remote work in a special framework that includes the Corona period and the fifth industrial revolution and emphasizes the need for comprehensive scientific attention and innovative methods. To solve these challenges, this research presents a comprehensive model by applying the soft systems methodology (SSM), which takes into account the perspectives and limitations of different stakeholders and aims to increase the implementation of remote work. Using systematic methods and qualitative data analysis, this study develops the model in a flexible and comprehensive way. In addition, it highlights the role of technology, organizational culture and management strategies in reducing social isolation and increasing telework efficiency. The findings emphasize the dynamic aspect of the remote work ecosystem and emphasize the importance of multifaceted solutions for organizational success in the era of the fifth industrial revolution.
supply chain management
poorya naseri; morteza abbasi; karim atashgar
Abstract
This article examines the selection of the cooperation model with the supplier and monitoring the cooperation strategy over time by continuously monitoring the performance of the supplier over time. For this purpose, a multiple fuzzy profile monitoring model is presented in two stages for monitoring ...
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This article examines the selection of the cooperation model with the supplier and monitoring the cooperation strategy over time by continuously monitoring the performance of the supplier over time. For this purpose, a multiple fuzzy profile monitoring model is presented in two stages for monitoring the supplier's unforeseen costs. In the first step, criteria and indicators to evaluate the delivery process, quality are extracted according to library resources and the opinion of experts and elites of the industry. In the next step, in the first phase of monitoring, using the T^2 method, the parameters of the model based on successive differences are calculated and monitored separately for the multiple fuzzy profile of the delivery process and quality, and in the second phase, the likelihood ratio method is used to monitor the profiles in a phased manner. It is used over time so that if there is a warning, the control chart will show it in the shortest possible time. In the last stage, using the results of the fuzzy profiles of the delivery and quality process and using artificial intelligence and the tool of the fuzzy inference system, it is used to monitor the unforeseen costs and make a decision about the supplier and monitor the adopted strategy. This model has been implemented in the automotive industry of Iran Khodro Company and the supplier of gearbox parts by Niromoharkeh Company.
