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This paper studies carbon tax policy in inventory games of multi-echelon supply chains. Four structures are considered with regard to the decision-making of supply chain members (decentralized, vertical downward cooperation, vertical upward cooperation, and horizontal cooperation). The purposes are to find the solutions of inventory games at each cooperation scheme, to compare strategies, and to examine the impact of the carbon tax on costs, emissions, and cooperation savings. A coordination mechanism with synchronized cycles is proposed, using cooperative game theory concepts in SC centralization. Closed-form equilibrium values were calculated for the optimal replenishment cycles, costs, and carbon emissions functions. For this intent, an algebraic method was deployed for vertical cooperation games. Though, other games were solved by an exact solution method. The numerical examples examined the impacts of the carbon tax on each structure and compared optimal solutions. Moreover, the impact of inventory and carbon emissions parameters on the cost and carbon emissions savings from cooperation settings were evaluated, indicating that SCs can reduce both costs and carbon emissions through cooperation. Additionally, it was found that the carbon tax can reduce the level of carbon emissions, while simultaneously decreasing coalition costs and emissions savings.
Kourosh Halat; Ashkan Hafezalkotob; Mohammad Kazem Sayadi. Cooperative inventory games in multi-echelon supply chains under carbon tax policy: Vertical or horizontal? Applied Mathematical Modelling 2021, 99, 166 -203.
AMA StyleKourosh Halat, Ashkan Hafezalkotob, Mohammad Kazem Sayadi. Cooperative inventory games in multi-echelon supply chains under carbon tax policy: Vertical or horizontal? Applied Mathematical Modelling. 2021; 99 ():166-203.
Chicago/Turabian StyleKourosh Halat; Ashkan Hafezalkotob; Mohammad Kazem Sayadi. 2021. "Cooperative inventory games in multi-echelon supply chains under carbon tax policy: Vertical or horizontal?" Applied Mathematical Modelling 99, no. : 166-203.
Innovative manufacturing firms strive to sustain and enhance their competitive advantages by running a range of new product development (NPD) projects in a consistent manner. The capital and time required to execute the NPD projects have substantially increased over the past years. This magnified the risk-aversion behavior of R&D managers and has increased their sensitivity towards the underlying risk of NPD projects. In particular, the R&D departments have recently started to proactively assess the accuracy of ambiguous information that is extensively used in preliminary market study and customer requirements analysis. Thanks to its high performance in dynamic environments, the R-numbers method can be employed to capture and analyze the risk of fuzzy numbers in a variety of decision making models. To tackle the complexity of such analysis, this paper proposes a novel risk-based fuzzy VIKOR (R-VIKOR) methodology. Using the interpretive structural modeling, the risk factors are first classified to identify and rank the existing critical risk factors of NPD projects. The ultimate goal of this study is to develop a practical yet simple decision support system tool that enables the R&D managers to effectively examine the riskiness of fuzzy information and assess the relevant risk factors. A real-world case study is presented to test and examine the accuracy and effectiveness of the proposed risk management method.
Seyedeh Anahita Mousavi; Hamidreza Seiti; Ashkan Hafezalkotob; Sobhan Asian; Rouhollah Mobarra. Application of risk-based fuzzy decision support systems in new product development: An R-VIKOR approach. Applied Soft Computing 2021, 109, 107456 .
AMA StyleSeyedeh Anahita Mousavi, Hamidreza Seiti, Ashkan Hafezalkotob, Sobhan Asian, Rouhollah Mobarra. Application of risk-based fuzzy decision support systems in new product development: An R-VIKOR approach. Applied Soft Computing. 2021; 109 ():107456.
Chicago/Turabian StyleSeyedeh Anahita Mousavi; Hamidreza Seiti; Ashkan Hafezalkotob; Sobhan Asian; Rouhollah Mobarra. 2021. "Application of risk-based fuzzy decision support systems in new product development: An R-VIKOR approach." Applied Soft Computing 109, no. : 107456.
Nowadays, the study of disasters such as earthquakes and their consequences, specifically in metropolises such as Tehran, has attracted significant attention. Allocating relief goods to distribution centres before the earthquake and providing relief services to the injured can reduce the fatality rate. Therefore, it seems quite necessary to present a certain routing and allocation scheduling model of relief vehicles to serve the injured. In this research, a mathematical model was proposed to minimise the unmet demands and transportation costs of relief vehicles and in the affected areas. Regarding the inherent uncertainties of disasters, we developed a robust scenario-based optimisation model for relief logistics networks to reduce the risk of fatality and provide near-optimal solutions for different possible disaster scenarios. We showed that the proposed cooperation plan produces a situation with additive supper property, which means that this type of cooperation will finally lead to a greater incentive for aid agencies to form larger coalitions. Furthermore, we proposed a set of cooperative game theory methods to distribute the cost-saving of the cooperation fairly.
Foad Akbari; Jaber Valizadeh; Ashkan Hafezalkotob. Robust cooperative planning of relief logistics operations under demand uncertainty: a case study on a possible earthquake in Tehran. International Journal of Systems Science: Operations & Logistics 2021, 1 -24.
AMA StyleFoad Akbari, Jaber Valizadeh, Ashkan Hafezalkotob. Robust cooperative planning of relief logistics operations under demand uncertainty: a case study on a possible earthquake in Tehran. International Journal of Systems Science: Operations & Logistics. 2021; ():1-24.
Chicago/Turabian StyleFoad Akbari; Jaber Valizadeh; Ashkan Hafezalkotob. 2021. "Robust cooperative planning of relief logistics operations under demand uncertainty: a case study on a possible earthquake in Tehran." International Journal of Systems Science: Operations & Logistics , no. : 1-24.
Dynamic scheduling using real-time data in manufacturing systems enables quick response to unforeseen system events to reduce costs and makespan while increasing customer satisfaction. Since many production systems are multi-product, each product’s customers aim to receive the product in the shortest possible time, thus competing with each other. Extant research neglects to consider not only competition between customers, but also bargaining strategies. In this paper, a hybrid flow shop system with multi-product is regarded. The production system studied is the Alborz Tire Company (Iran), which uses multi-type machines subject to stochastic failure. The objective is to determine the product processing prioritization in workstations, based on the Nash bargaining model, to minimize makespan. To this end, a simulation-optimization approach based on discrete-event simulation and Simulated annealing is employed. The results of the case study show that makespan is reduced significantly for all players.
Hiva Malekpour; Ashkan Hafezalkotob; Kaveh Khalili-Damghani. Product processing prioritization in hybrid flow shop systems supported on Nash bargaining model and simulation-optimization. Expert Systems with Applications 2021, 180, 115066 .
AMA StyleHiva Malekpour, Ashkan Hafezalkotob, Kaveh Khalili-Damghani. Product processing prioritization in hybrid flow shop systems supported on Nash bargaining model and simulation-optimization. Expert Systems with Applications. 2021; 180 ():115066.
Chicago/Turabian StyleHiva Malekpour; Ashkan Hafezalkotob; Kaveh Khalili-Damghani. 2021. "Product processing prioritization in hybrid flow shop systems supported on Nash bargaining model and simulation-optimization." Expert Systems with Applications 180, no. : 115066.
The necessity for sustainable development and to support eco-friendly products have manifold the government responsibility in directing green activities. This paper theoretically studies the moderating role of government in pricing and greening decisions of chain-to-chain competition in developing substitutable green products under government involvement in supporting green product distribution and/or recycling through assigning monetary tariffs to customers and practically adjusts a real-world case study of the Iranian motorcycle industry issues. We examine two competitive supply chains (SCs) consisting of one retailer and one manufacturer under two-way logistics, i.e. forward SC that distributes green products and backward SC that collects pollutant products from the market. In addition to maximizing the profit of each SC member and minimizing government expenditure, reductions in environmental pollution are also examined. This study examines the impact of government policies in equilibrium strategies through six scenarios, based on different government elective policies, and using Nash or Stackelberg game structures. A computational analysis of the case study reveals that under more constrained budget situations, the government should resist the urge to reduce recycling tariffs, compared with distribution tariffs. The greatest reduction in environmental pollution is achievable through: government financial support only for recycling with the lowest investment rejection behavior, following a Nash game, reducing greening costs, increasing tendencies towards environmental protection, and increasing the rate of recyclable products. The greatest profit for firms is obtainable through: government financial support of distribution and recycling logistics with the lowest tendency towards environmental protection, following a Nash game, reducing greening costs, reducing the investment rejection behavior of the government, and increasing the rate of recyclable products.
Herbod Jolai; Ashkan Hafezalkotob; Raziyeh Reza-Gharehbagh. Pricing and greening decisions of competitive forward and reverse supply chains under government financial intervention: Iranian motorcycle industry case study. Computers & Industrial Engineering 2021, 157, 107329 .
AMA StyleHerbod Jolai, Ashkan Hafezalkotob, Raziyeh Reza-Gharehbagh. Pricing and greening decisions of competitive forward and reverse supply chains under government financial intervention: Iranian motorcycle industry case study. Computers & Industrial Engineering. 2021; 157 ():107329.
Chicago/Turabian StyleHerbod Jolai; Ashkan Hafezalkotob; Raziyeh Reza-Gharehbagh. 2021. "Pricing and greening decisions of competitive forward and reverse supply chains under government financial intervention: Iranian motorcycle industry case study." Computers & Industrial Engineering 157, no. : 107329.
This paper investigates the moderating role of a host government that promotes a multi-sided platform (MSP) as an alternative supply chain finance (SCF) solution. The MSP comprises equity crowdfunding, fixed-income funds, and low-rate lending facilities. We examine the sequential interactions between the host government (as the dominant legislator), a crowd of risk-averse small investors, and two competing SCs (local and foreign) that are engaged in Cournot competition. The players’ equilibrium strategies are characterized under two platform power structures, namely small investors-led and SC-led. The joint impact of government legislation and platform’s configuration on the performance of the proposed SCF mechanism is investigated. Results reveal that, while the regulated MSP outperforms a deregulated scenario, the profit-seeking behavior of the host government may intensify the power struggle between the local SC and small investors, and restrict the platform’s overall performance. To successfully practice smart protectionism, policy makers are urged to reframe existing SCF schemes by leveraging their moderating influence and prioritizing social welfare over their short-term economic goals. This not only abates the power imbalance in MSPs, but also enhances the players’ participation and enables host governments to further support their digital platform economy in the era of reglobalization.
Raziyeh Reza-Gharehbagh; Sobhan Asian; Ashkan Hafezalkotob; Chen Wei. Reframing supply chain finance in an era of reglobalization: On the value of multi-sided crowdfunding platforms. Transportation Research Part E: Logistics and Transportation Review 2021, 149, 102298 .
AMA StyleRaziyeh Reza-Gharehbagh, Sobhan Asian, Ashkan Hafezalkotob, Chen Wei. Reframing supply chain finance in an era of reglobalization: On the value of multi-sided crowdfunding platforms. Transportation Research Part E: Logistics and Transportation Review. 2021; 149 ():102298.
Chicago/Turabian StyleRaziyeh Reza-Gharehbagh; Sobhan Asian; Ashkan Hafezalkotob; Chen Wei. 2021. "Reframing supply chain finance in an era of reglobalization: On the value of multi-sided crowdfunding platforms." Transportation Research Part E: Logistics and Transportation Review 149, no. : 102298.
The outbreak of COVID-19 has posed significant challenges to governments across the world. The increase in hazardous infectious waste (HIW) caused by the pandemic is associated with the risk of transmitting the virus. In this study, hazardous waste includes infectious waste generated both by individuals and by hospitals during the COVID-19 pandemic. To control the outbreak by maintaining social distance and home quarantine protocols, daily necessities and health supplies must be provided to the people affected. Governments play an essential role in the management of the crisis, creating an elaborate plan for collecting HIW and providing necessities and health supplies. This paper proposes a leader-follower approach for hazardous infectious waste collection and government aid distribution to control COVID-19. At the top level of the model, government policies are designed to support people by distributing daily necessities and health supplies, and to support contractors by waste collection. The lower level of the model is related to the operational decisions of contractors with limited capacities. Due to the potential risk of virus transmission via contaminated waste, the proposed model considers the complications imposed on contractors at the lower level. Applying a stochastic programming approach, four possible scenarios are examined, dependent of the severity of the outbreak. As a solution approach, the Benders decomposition method is combined with Karush-Kuhn-Tucker conditions. The results show that government support, in addition to much better management of citizen demand, can control the spread of the virus by implementing quarantine decisions.
Jaber Valizadeh; Ashkan Hafezalkotob; Seyed Mehdi Seyed Alizadeh; Peyman Mozafari. Hazardous infectious waste collection and government aid distribution during COVID-19: A robust mathematical leader-follower model approach. Sustainable Cities and Society 2021, 69, 102814 -102814.
AMA StyleJaber Valizadeh, Ashkan Hafezalkotob, Seyed Mehdi Seyed Alizadeh, Peyman Mozafari. Hazardous infectious waste collection and government aid distribution during COVID-19: A robust mathematical leader-follower model approach. Sustainable Cities and Society. 2021; 69 ():102814-102814.
Chicago/Turabian StyleJaber Valizadeh; Ashkan Hafezalkotob; Seyed Mehdi Seyed Alizadeh; Peyman Mozafari. 2021. "Hazardous infectious waste collection and government aid distribution during COVID-19: A robust mathematical leader-follower model approach." Sustainable Cities and Society 69, no. : 102814-102814.
Despite the substantial efforts of governments in promoting sustainable development, there exists a considerable debate regarding the environmental policy making approach under information ambiguity and competition. This study investigates market competition between a green and a non-green supply chain (SC) under two government regulation policies, namely, selling price and production quantities. To tackle the policy making challenges, a fuzzy game theoretical model was employed in a centralized and decentralized SC setting. The results revealed that SCs always achieve a higher expected profit under a decentralized structure, regardless of the type of the governments intervention policy. Also, the government’s policy making success was found to be highly dependent on the channel leadership, market competition, and the SC structure. Our findings suggest that the policy makers’ objectives in reducing environmental pollution and increasing revenue are highly achievable, without risk of losing channel coordination and maximum level of efficiency.
Mina Rahimi; Ashkan Hafezalkotob; Sobhan Asian; Luis Martínez. Environmental Policy making in Supply Chains under Ambiguity and Competition: A Fuzzy Stackelberg Game Approach. Sustainability 2021, 13, 2367 .
AMA StyleMina Rahimi, Ashkan Hafezalkotob, Sobhan Asian, Luis Martínez. Environmental Policy making in Supply Chains under Ambiguity and Competition: A Fuzzy Stackelberg Game Approach. Sustainability. 2021; 13 (4):2367.
Chicago/Turabian StyleMina Rahimi; Ashkan Hafezalkotob; Sobhan Asian; Luis Martínez. 2021. "Environmental Policy making in Supply Chains under Ambiguity and Competition: A Fuzzy Stackelberg Game Approach." Sustainability 13, no. 4: 2367.
The aim of this study is to provide a price optimization model for competing hotels in terms of energy-saving and environmental protection so that the government intervenes through the provision of appropriate tariffs for their performance. We consider the government as the leader and hotels as the follower in a Stackelberg model then, applied the Nash equilibrium to determine the optimal hotel prices in a competitive situation. We formulated the government’s utility function in terms of raising government revenue, tourism development, and increasing hotel revenues. By calculating the government’s utility function, the optimal level of government tariffs was determined. The results suggest that the government intervention in tourism industry includes measures that benefit tourism. In this regard, the government could increase hotel revenue and tourism expansion by reducing its profits. Also, with government intervention in the tourism sector, it can have good consequences for tourism and encourage hotels to engage in green activities to control the destructive effects of tourist expansion. A broad analysis was carried out on hotels in a touristic area in Iran, and some of the most important managerial insights are explained. This study for the first time investigates the effect of government interferences on hotel pricing while hotels compete with different features. Hence, a decentralized decision-making structure is considered for hotels. In addition, this paper presents a new model for providing optimal prices for hotels in a competitive market, optimal hotel revenue, and government optimal tariffs.
Elham Sadat Mousavi; Ashkan Hafezalkotob; Ahmad Makui; Mohammad Kazem Sayadi. Hotel pricing decision in a competitive market under government intervention: a game theory approach. International Journal of Management Science and Engineering Management 2021, 16, 83 -93.
AMA StyleElham Sadat Mousavi, Ashkan Hafezalkotob, Ahmad Makui, Mohammad Kazem Sayadi. Hotel pricing decision in a competitive market under government intervention: a game theory approach. International Journal of Management Science and Engineering Management. 2021; 16 (2):83-93.
Chicago/Turabian StyleElham Sadat Mousavi; Ashkan Hafezalkotob; Ahmad Makui; Mohammad Kazem Sayadi. 2021. "Hotel pricing decision in a competitive market under government intervention: a game theory approach." International Journal of Management Science and Engineering Management 16, no. 2: 83-93.
Multi-species conservation is of critical concern in ecosystem management science. In this context, modeling the effect of strategic threats on decision-making is a challenging problem that has not been sufficiently addressed. Using a security game approach, this paper investigates the optimal conservation of a food web against a strategic threat. The model builds upon the non-cooperative Stackelberg game, wherein conservator (defender) and adversary (attacker) play as leader and follower, respectively. The objective of the defender is to preventively maximize the entire web reliability, under financial and ecological constraints. The defender optimally manipulates the populations of an optimal subset of species to achieve this. In contrast, the attacker attempts to maximize web unreliability by decreasing the population of selected species, using limited resources. A meta-heuristic algorithm is developed to compute the equilibrium strategy, and the model is validated through numerical examples. Additionally, in a scenario-based approach, it is examined how the defense and attack strategies, as well as food web reliability, change as the population of keystone species change. The results also show that the combinational use of mathematical optimization and food web-specific conservation prioritization indices yields a practical tool for food web conservation prioritization. The results specifically yield theoretical insights into how to optimally control trophic cascade effects due to changing keystone species populations. A step-wise methodology is proposed to implement the model.
Zohreh S. Gatmiry; Ashkan Hafezalkotob; Morteza Khakzar Bafruei; Roya Soltani. Food web conservation vs. strategic threats: A security game approach. Ecological Modelling 2021, 442, 109426 .
AMA StyleZohreh S. Gatmiry, Ashkan Hafezalkotob, Morteza Khakzar Bafruei, Roya Soltani. Food web conservation vs. strategic threats: A security game approach. Ecological Modelling. 2021; 442 ():109426.
Chicago/Turabian StyleZohreh S. Gatmiry; Ashkan Hafezalkotob; Morteza Khakzar Bafruei; Roya Soltani. 2021. "Food web conservation vs. strategic threats: A security game approach." Ecological Modelling 442, no. : 109426.
This study proposes a two-stage game–data envelopment analysis (DEA) approach for cost-efficiency (CE) measurement using centralized and Stackelberg game models. Each decision-making unit (DMU) is proposed to make up two-stage network structures (or processes), where all the first-stage outputs are the only second-stage inputs. The main contribution of this study is the development of cooperative and non-cooperative models for CE measurement and implies a unique CE decomposition. We apply centralized and Stackelberg approaches for cooperative and non-cooperative assumption between two stages. We proposed a simplified version of the two-stage DEA network CE model. Applying the proposed model for CE calculation reduces both the number of constraints and variables, resulting in a sharp reduction in computational requirements. The applicability of the presented model is demonstrated in the context of studying the output of the electrical network in Iran. The results of the case study show that in a two-stage network, the proposed DEA model can provide accurate estimates of CE. This paper aids the two-stage network structures to control the costs by weak DMUs management. To the authors’ knowledge, this paper is the first research on the CE in a network by the DEA approach so that the relationships between the internal stages of the network are considered.
Raheleh Mousavizadeh; Mehrzad Navabakhsh; Ashkan Hafezalkotob. Cost-efficiency measurement for two-stage DEA network using game approach: an application to electrical network in Iran. Sādhanā 2020, 45, 1 -14.
AMA StyleRaheleh Mousavizadeh, Mehrzad Navabakhsh, Ashkan Hafezalkotob. Cost-efficiency measurement for two-stage DEA network using game approach: an application to electrical network in Iran. Sādhanā. 2020; 45 (1):1-14.
Chicago/Turabian StyleRaheleh Mousavizadeh; Mehrzad Navabakhsh; Ashkan Hafezalkotob. 2020. "Cost-efficiency measurement for two-stage DEA network using game approach: an application to electrical network in Iran." Sādhanā 45, no. 1: 1-14.
In the recent times, remanufacturing and recycling processes have been widespread because of hard environmental legislations. The significance of green factors such as uncertainty of return rates in supply networks has been extensively acknowledged in presented studies. A revenue sharing contract improves the performance of green supply chain and has a significant role in the profitability of total supply chain. There are few quantitative studies on revenue sharing contract in green supply chains. In this study, we propose coordination subject matters of a green supply chain with recycling perishable goods, involving suppliers, manufacturers, retailers, together with collection and disposal centers, in a multi-product, multi-period and multi-level basis under Fuzzy conditions. The consequences indicate that in dairy industries, appropriate collected returned products could be used as raw material for another product, which increases the supply chain profits and reduces waste; and also, since perishable goods have a limited shelf life, they can be reusable if they are collected before reaching to a critical time. Furthermore, the proposed revenue sharing contract can share benefits between supply network members and gain coordination of channel.
Sepideh Khalafi; Ashkan Hafezalkotob; Davood Mohammaditabar; Mohammad Kazem Sayadi. Multi objective Fuzzy programming of remanufactured green perishable products using supply contracts. International Journal of Management Science and Engineering Management 2020, 15, 274 -287.
AMA StyleSepideh Khalafi, Ashkan Hafezalkotob, Davood Mohammaditabar, Mohammad Kazem Sayadi. Multi objective Fuzzy programming of remanufactured green perishable products using supply contracts. International Journal of Management Science and Engineering Management. 2020; 15 (4):274-287.
Chicago/Turabian StyleSepideh Khalafi; Ashkan Hafezalkotob; Davood Mohammaditabar; Mohammad Kazem Sayadi. 2020. "Multi objective Fuzzy programming of remanufactured green perishable products using supply contracts." International Journal of Management Science and Engineering Management 15, no. 4: 274-287.
This paper addresses a new location-allocation-pricing problem in designing a three-level uncertain supply chain network with stochastic price-sensitive demands. Using the market segmentation problems, a supply-chain network is developed with two distribution channels that consist of Brick & Mortar and online markets, when some demand leakages occur from the market with a higher price. Due to the lack of physical observation of products in online markets, a return policy is used. So, demand behavior is analyzed in terms of the pricing and return policy. The problem established location, allocation, order quantities, pricing and refund price decisions to optimize the total profit of the chain. Furthermore, it is formulated as a mixed-integer non-linear programming (MINLP) model and solved by a Lagrangian relaxation algorithm. The numerical study and computational results indicate the efficiency and effectiveness of the proposed algorithm.
Hossein Salehi; Ata Allah Taleizadeh; Reza Tavakkoli-Moghaddam; Ashkan Hafezalkotob. Pricing and market segmentation in an uncertain supply chain. Sādhanā 2020, 45, 1 -17.
AMA StyleHossein Salehi, Ata Allah Taleizadeh, Reza Tavakkoli-Moghaddam, Ashkan Hafezalkotob. Pricing and market segmentation in an uncertain supply chain. Sādhanā. 2020; 45 (1):1-17.
Chicago/Turabian StyleHossein Salehi; Ata Allah Taleizadeh; Reza Tavakkoli-Moghaddam; Ashkan Hafezalkotob. 2020. "Pricing and market segmentation in an uncertain supply chain." Sādhanā 45, no. 1: 1-17.
Governments apply economic motivating forces and penalties to manage environmental effects of enterprises. Therefore, companies and manufactures will need to move toward environmental and sustainability assessment to survive and remain competitive in market. We consider market demands so that non-green and green products can be substituted with each other. If green products cannot overwhelm the market, manufacturers might select hybrid production mode including green and regular products. The government acts as a leader and sets special tariffs for non-green and green products as a controlling tool. We formulate a game theoretical model in twelve scenarios based on government policies and different types of production modes of a supply chain (SC). We calculate the optimal tariffs, selling prices, and prices of raw materials. The results indicate that environmental protection strategy of government has significant impact on the government revenue and profit of the SC's members. Moreover, the profits of a centralized SC is higher than a decentralized SC. When the government chooses the environmental protection and revenue seeking policies, the profit functions of the government and members of SC increase in centralized scenarios under hybrid production mode. Besides, it can be seen that Hybrid production mode has positive role on participating enterprises. Results also show that when government focuses on increasing income, the environmental impacts of SCs will increase in both decentralized and centralized SCs.
Tina Hadi; S. Kamal Chaharsooghi; Majid Sheikhmohammady; Ashkan Hafezalkotob. Pricing strategy for a green supply chain with hybrid production modes under government intervention. Journal of Cleaner Production 2020, 268, 121945 .
AMA StyleTina Hadi, S. Kamal Chaharsooghi, Majid Sheikhmohammady, Ashkan Hafezalkotob. Pricing strategy for a green supply chain with hybrid production modes under government intervention. Journal of Cleaner Production. 2020; 268 ():121945.
Chicago/Turabian StyleTina Hadi; S. Kamal Chaharsooghi; Majid Sheikhmohammady; Ashkan Hafezalkotob. 2020. "Pricing strategy for a green supply chain with hybrid production modes under government intervention." Journal of Cleaner Production 268, no. : 121945.
The D numbers methodology is a new mathematical approach that has been developed to improve some constraints surrounding evidence theory by managing information uncertainty and incompleteness. Various studies have been conducted on developing D numbers. One of the main extensions of the D numbers methodology is linguistic D numbers, which employs linguistic terms as a set of evaluations of D numbers. In this study, linguistic D numbers are further extended to an interval-valued belief structure. Additionally, to consider the various risk scenarios of each linguistic D number, a risk-based linguistic D numbers model is presented, based on proposed interval-valued linguistic D numbers. The efficiency of the proposed model is investigated by applying it to numerical examples and considering a case study. The results show the robustness of the risk-based linguistic D numbers methodology while simultaneously applying various risk scenarios.
Hamidreza Seiti; Ashkan Hafezalkotob; Enrique Herrera-Viedma. A novel linguistic approach for multi-granular information fusion and decision-making using risk-based linguistic D numbers. Information Sciences 2020, 530, 43 -65.
AMA StyleHamidreza Seiti, Ashkan Hafezalkotob, Enrique Herrera-Viedma. A novel linguistic approach for multi-granular information fusion and decision-making using risk-based linguistic D numbers. Information Sciences. 2020; 530 ():43-65.
Chicago/Turabian StyleHamidreza Seiti; Ashkan Hafezalkotob; Enrique Herrera-Viedma. 2020. "A novel linguistic approach for multi-granular information fusion and decision-making using risk-based linguistic D numbers." Information Sciences 530, no. : 43-65.
In this study, the implications of the government’s tariffs on optimal pricing decisions in a dual-channel SC with one manufacturer and one retailer by taking into account the retailer services are examined. First, the best response strategies of retailer and manufacturer have obtained following the government’s tariffs by using a Stackelberg game model. Then, the government problem has modeled in six scenarios in a competitive mode about service level, social welfare, and government’s revenue-seeking policies. It can be concluded that retailer services affect the optimal manufacturer and retailer’s decisions. Moreover, with the sensitivities analysis that was studied on government models, it was shown that an integrated SC could better serve the government to achieve its goals. Also, the optimal strategies of the manufacturer and retailer of a dual-channel supply chain have been reached to the government’s social and economic goals. It can be found that the government with proper tariffs could coordinate social, economic, and service objectives.
Taher Javadi; Ashkan Hafezalkotob. Impacts of government interventions on pricing policies of the dual-channel supply chain by considering retailer services. Journal of Industrial Engineering International 2019, 15, 231 -252.
AMA StyleTaher Javadi, Ashkan Hafezalkotob. Impacts of government interventions on pricing policies of the dual-channel supply chain by considering retailer services. Journal of Industrial Engineering International. 2019; 15 (S1):231-252.
Chicago/Turabian StyleTaher Javadi; Ashkan Hafezalkotob. 2019. "Impacts of government interventions on pricing policies of the dual-channel supply chain by considering retailer services." Journal of Industrial Engineering International 15, no. S1: 231-252.
This paper introduces a framework comprising Geographic Information System (GIS) techniques and fuzzy Multi-Criteria Decision-Making (MCDM) methods for application in landfill site selection problem. The developed methodology is utilized in an environmentally critical area related to Mahallat city located in the northwest of Iran. In this process, fourteen effective parameters related to sustainability of the location of landfills are identified and categorized into three groups including environmental, economic, and social criteria. First, criteria weights are obtained by applying the group fuzzy Best-Worst Method (BWM) and then suitability maps are generated based on GIS analysis. From the spatial analysis, eleven potential sites are identified as the most suitable alternatives. These sites are then analyzed and ranked using group fuzzy MULTIMOORA method. This study is different from the previous researches applied the GIS-MCDM approach, in that group fuzzy BWM for weighting criteria is more reliable compared to the other common methods. The group fuzzy MULTIMOORA method, and its three subordinate approaches, select a same candidate, “Site A8” a region near urban area of Mahallat, as the most suitable location for disposing municipal solid waste.
Saleheh Rahimi; Ashkan Hafezalkotob; Seyed Masoud Monavari; Arian Hafezalkotob; Razieh Rahimi. Sustainable landfill site selection for municipal solid waste based on a hybrid decision-making approach: Fuzzy group BWM-MULTIMOORA-GIS. Journal of Cleaner Production 2019, 248, 119186 .
AMA StyleSaleheh Rahimi, Ashkan Hafezalkotob, Seyed Masoud Monavari, Arian Hafezalkotob, Razieh Rahimi. Sustainable landfill site selection for municipal solid waste based on a hybrid decision-making approach: Fuzzy group BWM-MULTIMOORA-GIS. Journal of Cleaner Production. 2019; 248 ():119186.
Chicago/Turabian StyleSaleheh Rahimi; Ashkan Hafezalkotob; Seyed Masoud Monavari; Arian Hafezalkotob; Razieh Rahimi. 2019. "Sustainable landfill site selection for municipal solid waste based on a hybrid decision-making approach: Fuzzy group BWM-MULTIMOORA-GIS." Journal of Cleaner Production 248, no. : 119186.
In this study, a stochastic multi-objective mixed-integer mathematical programming is proposed for logistic distribution and evacuation planning during an earthquake. Decisions about the pre- and post-phases of the disaster are considered seamless. The decisions of the pre-disaster phase relate to the location of permanent relief distribution centers and the number of the commodities to be stored. The decisions of the second phase are to determine the optimal location for the establishment of temporary care centers to increase the speed of treating the injured people and the distribution of the commodities at the affected areas. Humanitarian and cost issues are considered in the proposed models through three objective functions. Several sets of constraints are also considered in the proposed model to make it flexible to handle real issues. Demands for food, blood, water, blanket, and tent are assumed to be probabilistic which are related to several complicated factors and modeled using a complicated network in this study. A simulation is setup to generate the probabilistic distribution of demands through several scenarios. The stochastic demands are assumed as inputs for the proposed stochastic multi-objective mixed integer mathematical programming model. The model is transformed to its deterministic equivalent using chance constraint programming approach. The equivalent deterministic model is solved using an efficient epsilon-constraint approach and an evolutionary algorithm, called non-dominated sorting genetic algorithm (NSGA-II). First several illustrative numerical examples are solved using both solution procedures. The performance of solution procedures is compared and the most efficient solution procedure, i.e., NSGA-II, is used to handle the case study of Tehran earthquake. The results are promising and show that the proposed model and the solution approach can handle the real case study in an efficient way.
Peiman Ghasemi; Kaveh Khalili-Damghani; Ashkan Hafezalkotob; Sadigh Raissi. Stochastic optimization model for distribution and evacuation planning (A case study of Tehran earthquake). Socio-Economic Planning Sciences 2019, 71, 100745 .
AMA StylePeiman Ghasemi, Kaveh Khalili-Damghani, Ashkan Hafezalkotob, Sadigh Raissi. Stochastic optimization model for distribution and evacuation planning (A case study of Tehran earthquake). Socio-Economic Planning Sciences. 2019; 71 ():100745.
Chicago/Turabian StylePeiman Ghasemi; Kaveh Khalili-Damghani; Ashkan Hafezalkotob; Sadigh Raissi. 2019. "Stochastic optimization model for distribution and evacuation planning (A case study of Tehran earthquake)." Socio-Economic Planning Sciences 71, no. : 100745.
While peer‐to‐peer (P2P) financing mechanisms have recently gained significant popularity, small and medium sized enterprise (SME) entrepreneurs still harbor a considerable degree of skepticism about the role of governments in promoting alternative supply chain finance (SCF) solutions in the re‐emergence of supply chain (SC) localization. This paper studies the SC financing problem of a capital‐constrained SME entrepreneur under two alternative financing schemes provided by an online P2P lending‐investment platform, namely debt financing (DF) and equity financing (EF). Considering the competition between a local and a foreign SC in a shared market, we investigate the direct (i.e., subsidizing domestic production) and indirect (i.e., subsidizing P2P platform service fee) roles of government intervention toward SC localization. Formulating a three‐level Stackelberg game model, this paper presents a scenario‐based decision‐making framework to jointly evaluate four different SCF scenarios through the lens of local SC, P2P financing platforms, and government. The results reveal that there exist three possible regions (i.e., DF, EF, and Conflict), within which the government and the P2P financing platforms can examine the alternative SCF schemes in order to achieve a mutually agreeable agreement. Our sensitivity analysis on interest rate and exchange ratio suggests that, when financed via an online P2P lending platform (i.e., DF), the local SC always achieves a higher profit under the direct intervention policy. The indirect policy, however, is preferred only when EF is the main source of SCF and the exchange ratio is sufficiently high.
Raziyeh Reza‐Gharehbagh; Ashkan Hafezalkotob; Sobhan Asian; Ahmad Makui; Allan N. Zhang. Peer‐to‐peer financing choice of SME entrepreneurs in the re‐emergence of supply chain localization. International Transactions in Operational Research 2019, 27, 2534 -2558.
AMA StyleRaziyeh Reza‐Gharehbagh, Ashkan Hafezalkotob, Sobhan Asian, Ahmad Makui, Allan N. Zhang. Peer‐to‐peer financing choice of SME entrepreneurs in the re‐emergence of supply chain localization. International Transactions in Operational Research. 2019; 27 (5):2534-2558.
Chicago/Turabian StyleRaziyeh Reza‐Gharehbagh; Ashkan Hafezalkotob; Sobhan Asian; Ahmad Makui; Allan N. Zhang. 2019. "Peer‐to‐peer financing choice of SME entrepreneurs in the re‐emergence of supply chain localization." International Transactions in Operational Research 27, no. 5: 2534-2558.
Taher Javadi; Nima Alizadeh-Basban; Sobhan Asian; Ashkan Hafezalkotob. Pricing policies in a dual-channel supply chain considering flexible return and energy-saving regulations. Computers & Industrial Engineering 2019, 135, 655 -674.
AMA StyleTaher Javadi, Nima Alizadeh-Basban, Sobhan Asian, Ashkan Hafezalkotob. Pricing policies in a dual-channel supply chain considering flexible return and energy-saving regulations. Computers & Industrial Engineering. 2019; 135 ():655-674.
Chicago/Turabian StyleTaher Javadi; Nima Alizadeh-Basban; Sobhan Asian; Ashkan Hafezalkotob. 2019. "Pricing policies in a dual-channel supply chain considering flexible return and energy-saving regulations." Computers & Industrial Engineering 135, no. : 655-674.