supply chain management
Mehdi Keshavarz-Ghorabaee
Abstract
Supplier selection and order allocation are two of the most important issues in supply chain management, which can have a significant impact on the overall performance and efficiency of an organization. This research presents a new approach based on group decision-making to address this problem. Firstly, ...
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Supplier selection and order allocation are two of the most important issues in supply chain management, which can have a significant impact on the overall performance and efficiency of an organization. This research presents a new approach based on group decision-making to address this problem. Firstly, the evaluation outputs of decision-makers are converted into interval-valued Pythagorean fuzzy sets using a quantitative procedure. Then, based on these fuzzy elements, the CRITIC method is employed to determine the weights of the criteria. Using the Einstein weighted geometric aggregation operator and the extracted weights, the final performance of each supplier is calculated as an interval-valued Pythagorean fuzzy set. In the next step, a multi-objective model is formulated considering the order allocation parameters and the obtained performances from the suppliers. Finally, the fuzzy programming technique is used to solve the multi-objective model. To analyze the efficiency of the proposed approach, a practical example based on environmental criteria is considered, and a sensitivity analysis is performed on the criteria weights to evaluate the reasonableness and efficiency of the results. The obtained results indicate the performance of the proposed approach in solving the supplier selection and order allocation problem.
supply chain management
Parisa Hosseini; Mehdi Seifbarghy
Abstract
One of the most critical decisions in the supply chain is pricing, playing a vital role in the profitability of the entire supply chain. In this research, a two-tier green supply chain is considered, comprising a producer and a retailer, where two types of products, standard and green, are produced. ...
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One of the most critical decisions in the supply chain is pricing, playing a vital role in the profitability of the entire supply chain. In this research, a two-tier green supply chain is considered, comprising a producer and a retailer, where two types of products, standard and green, are produced. The demand for products is determined as a certain linear function of product prices, delivery time in the online channel, the level of green quality, advertising intensity, and information tracing level. Green products are sold through the online channel, while standard products are distributed through traditional retail channels. The government provides subsidies for the production of green products and the implementation of blockchain technology. The decision-making problem is approached through two centralized and decentralized models. In the decentralized model, a Stackelberg game is employed, with the producer leading the decision-making process. In the centralized model, all supply chain members make decisions in a unified manner. The results indicate that the centralized model yields the highest profitability for the supply chain. Additionally, in the centralized model, all products are observed to have the lowest prices.
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.
perfomance management
ebrahim golzar; seyyed esmaeil najafi; seyyed ahmad edalatpanah; Amir Azizi
Abstract
Undesirable outputs are an integral part of production in various decision-making units, and to bring analyses closer to the real world, it is necessary to consider, undesirable outputs in performance evaluation research. In this paper, a new hybrid model for evaluating the efficiency of decision-making ...
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Undesirable outputs are an integral part of production in various decision-making units, and to bring analyses closer to the real world, it is necessary to consider, undesirable outputs in performance evaluation research. In this paper, a new hybrid model for evaluating the efficiency of decision-making units in the oil industry is presented, which uses slack-based data envelopment analysis techniques and advanced machine learning algorithms. The proposed model specifically focuses on improving efficiency considering undesirable outputs and conditions of uncertainty. Three machine learning algorithms including artificial neural networks, support vector machines, and XGBoost are used to predict and improve the results of slack-based models. This study involves the evaluation of 37 decision-making units within the National Petroleum Products Distribution Company, and the results show a significant improvement in efficiency using predicted data compared to actual data. This research not only contributes to new perspectives in efficiency evaluation and improvement but also offers innovative hybrid methods to address challenges in operational management.
uncertainty
Mehrab Hasanvand; Mohammad Taleghani; Behrouz Fathi Vajargah
Abstract
Operational centers play a vital role not only in the oil and gas industry but also in many other industries, serving as one of the key export factors contributing to national revenue. The extracted oil and gas are essential for many industrial sectors and end consumers. However, the operations of extracting ...
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Operational centers play a vital role not only in the oil and gas industry but also in many other industries, serving as one of the key export factors contributing to national revenue. The extracted oil and gas are essential for many industrial sectors and end consumers. However, the operations of extracting and refining heavy crude oil have undergone significant transformations due to changes in products designed to meet market demand and environmental regulations. This study focuses on designing a fuzzy network model to evaluate the efficiency of oil and gas operational centers in the country, based on undesirable outputs at the oil extraction centers in Khuzestan province. In this research, Data Envelopment Analysis (DEA) of network models was used to assess the efficiency of the centers, with toxic gases such as CO2 and SO2 identified as undesirable outputs at each stage. The results of the analysis of data from 9 centers showed that none of the units achieved an efficiency score of one, with the main reasons being the use of outdated equipment due to sanctions and the lack of use of liquefied and natural gas as alternatives to diesel and gasoline in machinery for oil extraction and refining. Finally, it was recommended to utilize renewable energy sources and appropriate filters in the equipment to improve efficiency and reduce harmful emissions.
supply chain management
Mohammad Ali Razaghi Heris; Habibollah Javanmard; Iraj Nouri
Abstract
Considering the importance of the home appliances industry in generating employment and promoting economic prosperity, this research identifies the key factors that improve the performance of the financing chain within this sector. A mixed-method approach (qualitative and quantitative) was utilized to ...
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Considering the importance of the home appliances industry in generating employment and promoting economic prosperity, this research identifies the key factors that improve the performance of the financing chain within this sector. A mixed-method approach (qualitative and quantitative) was utilized to achieve this goal. The qualitative phase drew from library resources related to the financing chain, while the quantitative phase included 183 senior managers and experts involved in the financing chain of the home appliances industry in Alborz province. Sampling was conducted using simple random sampling, and data were collected through a field questionnaire. To validate and assess the fit of the research model, confirmatory factor analysis and structural equation modeling were employed using SPSS 19 and Smart PLS 3 software. The results indicated that 13 overarching themes were identified, including four themes related to background requirements (structure), five themes related to strategies and processes within the financing chain (content), and four themes related to the outcomes of the financing chain. All factor loadings were significant at the 95% confidence level, confirming the model’s fit and validating the research hypotheses. The findings suggest that contextual components are crucial in shaping the actions and strategies within the financing chain, while the content components play an essential role in achieving the goals of this chain in the home appliance industry.
Industrial management
Hossein Vahidi Iry Sofla; mahmoud ahmadi sharif; Mohammad nasrolahnia; Peyman Ghafari Ashtiani
Abstract
The purpose of this research is to present a content-oriented interactive marketing model with the approach of customer knowledge management, while considering the causal, contextual, and intervening variables (factors) in the country's steel industry based on the data theory method of the Foundation. ...
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The purpose of this research is to present a content-oriented interactive marketing model with the approach of customer knowledge management, while considering the causal, contextual, and intervening variables (factors) in the country's steel industry based on the data theory method of the Foundation. In this research, based on interview tools from experts and senior managers of the steel industry, 98 factors related to content-based marketing and research variables have been identified, and structures related to each variable have been presented using open, central, and selective coding methods. In the next step, based on the analysis of the data obtained from the questionnaire, the confirmatory factor analysis method with the PLS technique was applied. The factor load and combined reliability for the research variables were calculated to be above 0.4 and 0.7, respectively. As a result, the validity of each construct related to the factors, the strategies, and implications of the research model were approved. Then, using the method of structural equations and estimation of the final model, causal factors, contextual factors, customer knowledge management strategy, and intervening factors were confirmed as the first to fourth most influential on content-based interactive marketing in the final research model. Finally, while presenting the research model with optimal overall goodness of fit, attention is drawn to the effects and consequences of the model, including: internal and corporate consequences, competitive advantage, brand experience management, and customer and market consequences that are suggested.
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