Designing a Sustainable Reverse Logistics Network Considering the Conditional Value at Risk and Uncertainty of Demand under Different Quality and Market Scenarios

Sajedi, S.; Sarfaraz, Amir Homayoun; Bamdad, Shahrooz; Khalili‐Damghani, Kaveh

doi:10.5829/ije.2020.33.11b.17

Cited by 3 publications

(3 citation statements)

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“…In the existing research, the min and multiplication operators have been employed (Azeem, 2012). The considered operators in the study are based on Equations ( 1) and (2) (Momenitabar et al, 2022;Sajedi et al, 2020).…”

Section: Applying Fuzzy Operatorsmentioning

confidence: 99%

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Pricing strategies for online hotel searching: a fuzzy inference system procedure

Ahmadi

Ghasemi²

2022

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PurposeHotels are considered one of the keys to tourism industry, without which it is impossible to visualize this industry. Setting the proper price for hotels has always been a nuisance for the decision makers because of its direct relationship with the demand for hotels. Thus, in the current study a Stackelberg game between the government (leader) and the hotels (follower) has been presented to determine the optimal price under competitive conditions. The selected hotels are different with respect to energy consumption and the environmental impact. Thus, the government makes efforts to control their prices with incentives and tariffs.Design/methodology/approachThe fuzzy inference system (FIS) has also been applied to forecast the hotel demand. Therefore, first off, the demand forecast criteria have been chosen by the experts and in the continuation, it has been screened by fuzzy Delphi approach. Finally, the quantity of hotel demand is computed by the Mamdani inference system. A mathematical model has been presented for determining the optimal sequencing of hotels and minimizing the searches to find a hotel.FindingsA case study based on the data extracted from online travel agencies (OTAs) has been presented to validate the proposed model. The results demonstrate that by the ranking position increase, the number of the tourists decreases and the higher the star number of a hotel, the lower its ranking position.Originality/valueConsidering the energy saving and environmental impacts in hotel pricing and considering the government's intervention in hotel revenues regarding the incentives and tariffs are the innovations of the present study.

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Section: Applying Fuzzy Operatorsmentioning

confidence: 99%

“…The considered operators in the study are based on Equations (1) and (2) (Momenitabar et al. , 2022; Sajedi et al ., 2020). …”

Section: Fuzzy Inference System (Fis)mentioning

confidence: 99%

Pricing strategies for online hotel searching: a fuzzy inference system procedure

Ahmadi

Ghasemi²

2022

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“…New logistics structures illustrate the utilization of closed-loop supply chain concepts, showcasing significant improvements in resource utilization efficiency (16,17). In today's context, returned products have gained substantial importance, being recognized as valuable assets within the supply chain components (18). Reducing environmental impacts to preserve the environment represents one of the primary objectives of the reverse supply chain.…”

Section: Introductionmentioning

confidence: 99%

A Multi Objective Optimization Model for Multi-commodity Closed-loop Supply Chain Network Considering Disruption Risk

Afshar,

Hadji Molana,

Rahmani Parchicolaie

2024

IJE

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Recently, the difference in the most effective competencies is considered the main competitive factor in organizations. To this end, organizations seek to improve a number of their functional capabilities, expertise, and capacities to enhance their operational area. Therefore, when an organization focuses on the quality of its services or products, it is trying to improve maintainability to gain a competitive advantage. In this study, a closed-loop, multi-objective, multi-level, multi-commodity, and multi-period mathematical model for a supply chain with producer, and distributor components is presented to locate and allocate items. The presented model can control environmental, economic, and social factors along the chain. One of the most important and unique aspects of the current study is considering different scenarios in the closed-loop supply chain (CLSC) so that the quality of the produced and transported products is paid attention to according to perishability. In addition, to control environmental effects, the model can minimize total CO2 emissions. The problem is solved on small, medium, and large scales using Epsilon Constraint and NSGA-II methods. According to the obtained results, the flow according to the boom scenario is more than the stagnation scenario. Finally, according to the sensitivity analysis, the number of centers established increases with an increase in demand. The results show that the nondominated sorting genetic algorithm (NSGA-II) model can predict the behavior of the model well in the long term. For this purpose, Mean ideal distance (MID) index, has been used for evaluation of calculation. the value of standard MID is equal to 6.56 that shows the model accuracy is adequate.

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Partial Disassembly and Consideration of Part Relationships in Multiproduct, Multiperiod Capacitated Disassembly Scheduling With Parts Commonality

Zare,

Fakhrzad,

Khademi Zare

et al. 2024

Modelling and Simulation in Engineering

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This paper proposes a new mixed‐integer linear programming (MILP) model to consider a multiproduct, multiperiod capacitated disassembly scheduling model with parts commonality and partial disassembly. The major contribution of this research is to probe the possibility of partial disassembly and separation of parts until the desired part is obtained. When disassembly is partial, parts that are not in demand will not disassemble, saving time and costs. In addition, another contribution introduced in this paper is the consideration of relationships between parts. By incorporating these relationships into the disassembly scheduling problem, our proposed model offers a more comprehensive and efficient solution. The objective is to provide the best plan for selecting partial disassembly modes and scheduling disassembly due to capacity constraints to meet the demand for leaf parts over the planning time horizon and minimize setup, holding, operating, and supply costs. The proposed model is solved using the CPLEX solver, and numerical experiments using selected literature data for problem sizes and sensitivity analyses of key model parameters are carried out to demonstrate the proposed model’s consistency and robustness. In addition, significant managerial insights have been proposed based on sensitivity analysis to determine the applicability of the proposed model. Key insights reveal that increasing period capacity reduces total costs but requires careful balancing with capacity‐building expenses. Additionally, aligning part demand with the return product structure can significantly cut costs, and managing inventory through the procurement or disposal of less demanded parts can optimize operations.

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Designing a Sustainable Reverse Logistics Network Considering the Conditional Value at Risk and Uncertainty of Demand under Different Quality and Market Scenarios

Cited by 3 publications

References 57 publications

Pricing strategies for online hotel searching: a fuzzy inference system procedure

Pricing strategies for online hotel searching: a fuzzy inference system procedure

A Multi Objective Optimization Model for Multi-commodity Closed-loop Supply Chain Network Considering Disruption Risk

Partial Disassembly and Consideration of Part Relationships in Multiproduct, Multiperiod Capacitated Disassembly Scheduling With Parts Commonality

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