2024-03-29T06:56:50Z http://www.ijsom.com/?_action=export&rf=summon&issue=524
2020-08-01 10.22034
International Journal of Supply and Operations Management IJSOM 23831359 23831359 2020 7 3 Multiple-sourcing in Sustainable Closed-loop Supply Chain Network Design: Tire Industry Case Study Yahia Zare Mehrjerdi Mohammad Shafiee The interaction of sustainability and resilience has not been sufficiently addressed in the supply chain literature. Applying sustainability and resilience concepts in a supply chain means the simultaneous optimization of the cost and recourses, including human and environmental ones, in facing possible risks. This paper tries to fill this gap by considering them simultaneously in a closed-loop supply chain. For this, a new mixed-integer programming (MIP) model was formulated for a closed-loop supply chain. In this research, different dimensions of sustainable development have been taken into account through reducing the total cost, energy consumption, and pollution and increasing job opportunities, and multiple-sourcing strategy has been applied for the resiliency of the supply chain. To validate the proposed model, the real data of a tire industry was used and the model was solved using the e-Constraint method. The results emphasized the necessity of combining sustainability and resilience in a closed-loop supply chain, where the high amounts of demand, in addition to increasing the cost, energy consumption, and pollution, increase job opportunities and the need to backup suppliers for raw materials. Multiple-sourcing Resilience Sustainability tire closed-loop supply chain -Constraint 2020 08 01 202 221 http://www.ijsom.com/article_2816_158c53235391038722d4b037750942ea.pdf
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International Journal of Supply and Operations Management IJSOM 23831359 23831359 2020 7 3 Efficiency Evaluation in Hybrid Three-Stage network Data envelopment analysis from the Double-Frontier Standpoint Ehsan Vaezi Seyyed Esmaeil Najafi Mohammad Haji Molana Farhad Hosseinzadeh Lotfi Mahnaz Ahadzadeh Namin The efficiency evaluation of a network opens the “black box” and deliberates on the internal structures and innermost interactions of the system. In this paper, we have made efforts to consider a three-stage system, comprising of six sub-DMUs, in combination with additional inputs and undesirable outputs. The proposed models are simulations of a factory, with a production area and three warehouses for goods and two delivery points. Hence, an authentic example, in concern with production planning and inventory control in a factory for a year and within duration of 24 periods, was taken under consideration, as a dynamic structure. In this simulation, all costs are considered, including, production costs, setup cost, maintenance costs of the products, warehouse reservation costs, transportation costs, delay penalty costs and the profit obtained from the sale of products. We utilized the multiplicative DEA with a double-frontier approach to measure the efficiency of a general system and improve the accuracy of efficiencies. Moreover, a heuristic technique was used to convert non-linear models into linear models. The ranking results amongst the 24 time periods, which, indicate that the time periods 24 and 1, are the best and poorest periods in terms of efficiency, respectively. Finally, we suggest to use a k-means method to cluster DMUs into several groups with similar characteristics based on double-frontier Standpoint. Network DEA Three-stage Double-frontier Additional inputs Undesirable outputs k-means technique 2020 08 01 222 241 http://www.ijsom.com/article_2817_1e773bf1a4bb3070b3e3c8dac84e3bf9.pdf
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International Journal of Supply and Operations Management IJSOM 23831359 23831359 2020 7 3 Development of a Structural Model of Risk Factors involved in E-Supply chain adoption in Indian Mechanical Industries Alok Kumar Ramesh Garg Dixit Garg Managing risk in e-supply chain has become an essential field for researchers in this fast-growing market. Many researchers have contributed to this context for managing risks, but it remains uncertain. This study recommends a structural model to analyze the impact of various e-supply chain risk issues over demand risk. This model mainly covers seven categories of risk issues such as demand, organizational, infrastructure, etc. for this study which are related to mechanical manufacturing industries of Delhi region. So, after a detailed study and expert’s opinion, 38 Risks factors were included in this study to formulate the survey form or questionnaire. A questionnaire-based survey was conducted for gathering responses from 148 specialists belonging to mechanical manufacturing sector situated in Delhi region. This methodology consists of measurement and mathematical modeling. The technique is based on exploratory and confirmatory factor analysis using SPSS and AMOS software tool. Software tools like SPSS21 used for descriptive statistics and Amos Graphics 21 used for structural equation modeling. Risk related factors and sub-factors have been identified, assigned weight and prioritized in accordance with their importance using expert opinion through well-designed questionnaires. On the other hand, an empirical study was conducted for transforming a conceptual model into structural equation modeling. Structural identification and comparison of various risks related to the e-supply chain. Result finding proposes various e-supply risk issues which create significant positive (0.49) effect over demand risk. Result finding also suggests that sub-factors like Forecast Error and sudden cancellation of order are highly affected by e-supply risks. Supply Chain Management Risk management E-supply chain Factor analysis Structural equation modeling Indian mechanical manufacturing sector 2020 08 01 242 260 http://www.ijsom.com/article_2818_af7efd3023f92e15bab61ec4bb153570.pdf
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International Journal of Supply and Operations Management IJSOM 23831359 23831359 2020 7 3 An Integrated Bi-objective Build-to-order Supply Chain and Maintenance under Uncertainties: A Case Study Malihe Ebrahimi Reza Tavakkoli-Moghaddam Nowadays, by increasing competition and customization, a build-to-order (BTO) system is given more consideration. Because of receiving the order at the beginning of assembling in BTO systems, the time of a failed machine causes a longer lead time. Thus, preventive maintenance (PM) can increase the availability of machines and is useful in this system. It is under the constant interval, in which the Weibull’s graph is used to estimate a Weibull distribution for a failure rate function. This paper aims to maximize the total available time of machines, which is calculated based on the sum of the time of stopping the machines. In other words, the time of stopping the machines is maximized. This paper develops a new integrated bi-objective BTO supply chain problem, which maximizes the profit and minimizes the time of stopping the machines by PM. Maintenance is a new issue in BTO studies. Since the importance of on-time lead time in these systems, PM has beneficial results in these systems, which is very useful for senior managers. Outsourcing and pricing are the other issues considered in this paper. Furthermore, a robust optimization approach is applied to handle uncertainty. The new robust BTO supply chain model is performed in a wood industry to accredit this proposed model. At last, managerial insights are provided in such a way that using PM, outsourcing, pricing, and uncertainty in BTO systems is very useful and applicable. Build-to-order Supply chain Preventive maintenance Robust optimization 2020 08 01 261 271 http://www.ijsom.com/article_2819_6d2a2e00d4aba2738afccbd5a6481782.pdf
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International Journal of Supply and Operations Management IJSOM 23831359 23831359 2020 7 3 On Single Machine Scheduling Problem with Distinct due Dates under Fuzzy Environment Hamiden Khalifa Single machine, distinct due dates, early (lately) machine problem and fuzzy environment closely to the situation faced by '' just in time '' manufacture. This paper attempts to sequence the jobs on a single machine scheduling problem with distinct due dates under fuzzy environment so as to minimize the total penalty cost. This cost is the composition of all the total earliness and tardiness cost. A method to minimize the total penalty cost due to earliness or lateness of job in fuzzy environment is proposed. A numerical example is given in the sake of the paper to support this study. Single machine Distinct due dates Early/ lately machine problem (α,β)- numbers 2020 08 01 272 278 http://www.ijsom.com/article_2820_f2a1653864660c7fc13a0a37b026fe63.pdf
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International Journal of Supply and Operations Management IJSOM 23831359 23831359 2020 7 3 Agent Based Modelling of Milk and its Productions Supply Chain and Bullwhip Effect Phenomena (Case Study: Kerman) Somayeh Naghavi Alireza Karbasi Mahmoud Daneshvar Kakhki Simulating decision-making process of agents of supply chain is affected by various economic and social factors. In this study it is tried to use the agent based simulation which is a conceptual and computational model and investigates the behavior of the agents of the milk and its products supply chain using data for the year 2016 by emphasizing on dairy farmers against the policy increasing raw milk prices. In this regard, bullwhip effect is one of the important issues raised in supply chain. The present study investigates the presence or absence of bullwhip effect in the milk supply chain and its products, using moving average method and order-up-to-level R. Improvement in supply chain performance is one of the major issues in the current world. Lack of coordination in the supply chain is the main drawback of supply chain that many researchers have proposed different methodologies to overcome it. In addition, the application of agent-based simulation has been investigated in order to improve performance indicator in supply chain. The results obtained from the present study indicated that there is the bullwhip effect in the supply chain, then, the agent managed supply chain has been proposed in order to improve one of the performance indicators in the supply chain. Using centrality in decision-making in the supply chain and agent-based simulation, the results indicated that bullwhip effect is reduced or eliminated for the dairy products. Such results highlight the importance and high potential of agent-based simulation in improving the performance indicator of chain. Agent-based simulation Bullwhip effect Demand forecasting Supply chain MASQ model 2020 08 01 279 294 http://www.ijsom.com/article_2821_63ee28e966ad4794cb4ced0b2e4d2d45.pdf
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International Journal of Supply and Operations Management IJSOM 23831359 23831359 2020 7 3 Managing Food Supply Chains Post COVID-19: A Perspective Rahul Mor Priyanshu Srivastava Richika Jain Sanskar Varshney Vedant Goyal The coronavirus (COVID-19) has already left its footprints over vast geography worldwide and the rest of the globe is also under a big threat to this ongoing pandemic. Its effect can be felt amongst every sector of the economic ecosystem, and one of the most severely affected components is the food sector. The impact of COVID-19 on food supply chains (FSCs), especially agriculture, has created grave concerns for food security globally. This paper presents a perspective on future FSCs and the predicted outcomes which are likely to occur post COVID-19 based on the plans, reviews of critical reports, and information made available to date. The food industry needs unprecedented safety, technology & policy-measures to shine again and to manage the supply chain operations. In this highly-connected world, technological innovations and improvisations will create more resilient and sustainable food supply chains. Further, key production and distribution challenges are also highlighted. Food supply chain COVID-19, Pandemics Lock down Agriculture 2020 08 01 295 298 http://www.ijsom.com/article_2822_d4b73b7c16b4dfac446410c3ba45ea7b.pdf