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    The Design of a Multi-Period and Multi-Echelon Perishable Goods Supply Network under Uncertainty
    (MDPI, 2022) Meidute-Kavaliauskiene, Ieva; Yıldırım, Figen; Ghorbani, Shahryar; Činčikaitė, Renata
    The value of superior supply network design is becoming increasingly important, especially in the perishable supply chain. Due to the recent developments in perishable products, perishable product supply chain (PPSC) management has attracted many researchers. The purpose of this study was to present a multi-period and multi-echelon perishable supply chain with regards to procurement time, cycle cost, and customer satisfaction. This study presented a new form of location-routing in a supply chain network for perishable products, accounting for environmental considerations, cost, procurement time, and customer satisfaction, such that the total costs, delivery time, and the emission of pollutants in the network were minimized while customer satisfaction was maximized. We formulated the problem as a multi-objective, nonlinear, mixed-integer program and the hybrid approach was proposed to solve the model. The mean error of the proposed algorithm for the objective function compared to the exact method in solving the sample problems was less than 3.4%. The computational results revealed the efficiency of the proposed algorithm for a wide range of issues of various sizes.
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    An intuitive fuzzy approach for evaluating financial resiliency of supply chain
    (Springer, 2021) Sahebi, Iman Ghasemian; Toufghi, Seyed Pendar; Karakaya, Gencay; Ghorbani, Shahryar
    Since the fnancial crisis of 2008, fnancial resiliency has gradually become a crucial tools employed by supply chains worldwide to resist external risks and shocks. Risks and shocks sometimes creating a turbulent environment can vary in intensity and frequency and may be attributed to a system’s internal or external factors. Resilience is defned as the capacity to withstand risks that are more signifcant, rapid recovery after risks, and reduced degradation by virtue of a certain number of hazards. Financial resiliency focuses on how an organization efciently deploys the remaining fnancial resources and invests in maintenance and reconstruction strategies to accelerate the recovery process. This study aims to identify and classify the criteria for measuring supply chain fnancial resilience using the hybrid Fuzzy Delphi Method (FDM) and intuitive fuzzy DEMATEL technique with interval values (IVIF-DEMATEL). For this purpose, by reviewing the literature, 29 criteria of supply chain fnancial resiliency were identifed, and after screening by FDM, 12 criteria were fnalized. In the next step, the desired criteria were classifed into two category, and the importance of each was determined.
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    Investigating the cost stickiness behavior of organizations after the economic recession caused by the COVID-19 pandemic
    (EnPress Publisher, LLC, 2024) Stanimirovi?, Predrag S.; Stupina, Alena A.; Ghorbani, Shahryar; Khamnei, Hossein Jabbari; Yıldırım, Figen
    The global economic recession has caused pessimism in terms of prospects of sales recovering in the future. The present study is an attempt to investigate the cost stickiness behavior by focusing on specific characteristics of companies. The research was done through documentary analysis and access to quantitative data, with the use of statistical methods for analysis as panel data. The statistical population of the actual study included all companies listed on the India stock exchange from 2017 to 2021. They were selected after screening 128 listed companies. The regression method was used to examine the relationship between variables and to present a forecast model. The results of testing the first hypothesis showed that companies’ costs are sticky and according to the results of this hypothesis, an increase in costs when the level of activity increases is greater than the level of reduction in costs when the volumes of the activities are decreased. The results of the second hypothesis showed a remarkable relationship between the cost stickiness and specific characteristics of companies (size, number of employees, long-term assets, financial leverage, and accuracy of profits forecast). Based on the third hypothesis, there is a notable difference between cost stickiness at different levels of specific characteristics of companies. Therefore, the results show that environmental uncertainty such as COVID-19, increases cost stickiness. © 2024 by author(s).
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    The measurement of organizational social media integration impact on financial and innovative performance: an integrated model
    (MDPI, 2021) Kavaliauskiene, Ieva Meidute; Davidaviciene, Vida; Karakaya, Gencay; Ghorbani, Shahryar
    Organizations are investing in social media for communicating with customers, promoting employee collaborations, and integrating with partners and suppliers. One of the essential organizational capabilities that can help organizations create and share knowledge and improve their performance and create competitive advantage is social capital and social media integration. Therefore, while examining the role of social media integration on the three dimensions of social capital and the organizational emphasis on knowledge management, the present study has evaluated the impact of knowledge quality on improving organizational financial and innovative performance. This study was conducted in a sample of 280 employees of a bank in Iran. The present study had an applied data collection methodology, using structural equations modeling for analyzing with a descriptive correlational research goal. The results showed that integrated social media positively affects the social capital dimensions and organizational knowledge quality. This study highlights both the potential and limitations of social media in promoting organizational knowledge management. Businesses must consciously manage the assimilation and use of social media to benefit from them. The authors position the study at the intersection of social media, social capital, and knowledge management and explicate how social media works through social capital and organizational knowledge management efforts to affect knowledge quality.
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    Optimizing Multi Cross‐Docking Systems with a Multi‐Objective Green Location Routing Problem considering Carbon Emission and Energy Consumption
    (MDPI, 2022) Meidute‐kavaliauskiene, Ieva; Sütütemiz, Nihal; Yıldırım, Figen; Ghorbani, Shahryar; Činčikaitė, Renata
    Cross-docking is an excellent way to reduce the space required to store goods, inventory management costs, and customer order delivery time. This paper focuses on cost optimization, scheduling incoming and outgoing trucks, and green supply chains with multiple cross-docking. The three objectives are minimizing total operating costs, truck transportation sequences, and carbon emissions within the supply chain. Since the linear programming model is an integer of zero and one and belongs to NP-hard problems, its solution time increases sharply with increasing dimensions. Therefore, the non-dominated sorting genetic algorithm-II (NSGA-II) and the multi-objective particle swarm optimization (MOPSO) were used to find near-optimal solutions to the problem. Then, these algorithms were compared with criteria such as execution time and distance from the ideal point, and the superior algorithm in each criterion was identified.
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    Prioritizing of Risk Components in the perishable goods supply chain and Supplier selection in supply chain risk management
    (Science and Engineering Research Support Society, 2020) Karakaya, Gencay; Ghorbani, Shahryar
    Presently, the topics of supply chain risk management and supplier selection have become one of the most important issues in the world and many studies have been done on such topic. The members of a supply chain are trying to respond to the market demand by choosing the best supplier. On the other hand, there is undeniable risk in the supply chain, and members of a chain tend to identify and prioritize these risks in order to be able to react quickly to prevent potential risks. The issue of identifying risk and choosing the best supplier in a perishable goods supply chain is important due to the short life of these and choosing an incorrect strategy for selecting supplier may impose irreparable damage to organizations. As a result, the main objective of this research is to prioritize the risk factors of the supply chain of perishable goods supply chain and selecting the appropriate supplier by using the Shannon entropy and COPRAS. In this study, firstly by applying literatures and expert's viewpoint on supply chain management, the criteria were identified. Then, to reduce the number of variables, the factor analysis method was used. In addition, the entropy method has been used to calculate the weight of the variables. Finally, multiple suppliers were ranked by Cooper's method. Based on the results of this study, there are 9 risk factors of high priority, most important of which is demand risk.
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    Strategic supplier selection for renewable energy supply chain under green capabilities (fuzzy BWM-WASPAS-COPRAS approach)
    (Elsevier, 2022) Masoomi, Behzad; Sahebi, Iman Ghasemian; Fathi, Masood; Yıldırım, Figen; Ghorbani, Shahryar
    The supplier selection problem (SSP) is a significant issue in renewable supply chain management (RSCM). Selecting a strategic green supplier can not only discover the sustainable development of supply chains but also optimize the consumption rate of resources and decrease the negative environmental effects, which adopts to the green development context. As a multiple criteria group decision-making (MCGDM) problem, choosing a strategic green supplier is important to renewable supply chains. However, how to choose a strategic green supplier for supply chains is a great effort. Hence, In the present work, evaluating a set of strategic suppliers is primarily based on green capabilities by using an integrated fuzzy Best Worst Method (FBWM) with the other two techniques, namely COPRAS (Complex Proportional Assessment of Alternatives) and WASPAS (Weighted Aggregated Sum-Product Assessment). Initially, nine strategic supplier selection criteria have been identified through literature review and a real-world case study of Iran's renewable energy supply chain is deliberated to exhibit the proposed framework's applicability. The applied methodology and its analysis will provide insight to decision-makers of strategic supplier selection. It may aid decision-makers and the procurement department in differentiating the significant strategic green supplier selection criteria and assess the strategic green supplier in the local and global market supply chain. Finally, the strengths and limitation of the framework are discussed by using comparative analysis with other methods