Application of Choquet integral in interval type‐2 Pythagorean fuzzy sustainable supply chain management under risk

Mondal, Arijit; Roy, Sankar Kumar

doi:10.1002/int.22623

Cited by 60 publications

(17 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Goli et al [12] computed portfolio optimization for risk minimization and return maximization under uncertainty of returned. Mondal and Roy [24] considered the multi-objective optimization of supplier sustainability and minimum overall risk to solve the combined supplier. Goli and Mohammadi [11] designed intelligent performance evaluation systems for different supply chains to shorten production and delivery cycles and reduce costs.…”

Section: Application Comparison Of Optimization Modelsmentioning

confidence: 99%

Differential decision of low-carbon supply chain based on market preferences with fairness concerns

Xia

2023

JIMO

View full text Add to dashboard Cite

<p style='text-indent:20px;'>Under the dual background of energy economy and environmental protection, expanding the optimal decision-making of the low-carbon supply chain is significant to the energy manufacturing industry. This paper discusses the impact of low-carbon preference, price elasticity, and low-carbon research and development investment (LR & DI) on equilibrium decisions of a three-echelon supply chain system under the scenarios of market segments and fairness concerns. Firstly, it is found that the optimal price and yield are positively correlated with the counterparty's demand elasticity coefficient and sensitivity coefficient, and the supply chain profit is better under the decentralized decision of the retailer's fairness concerns. Secondly, there is a positive correlation between each member's interests and the degree of the manufacturer's fairness concern. While considering the retailer, the manufacturer is responsible for the supply chain income loss. Finally, because the optimal pricing and yield are positively correlated with consumers' low-carbon preference and LR & DI, manufacturers may optimize profits by raising LR & DI within a tolerable range. In addition, it is verified that the Stackelberg game optimizes the traditional model by a numerical example, providing theoretical support for decision-making in different scenarios.</p>

show abstract

Section: Application Comparison Of Optimization Modelsmentioning

confidence: 99%

Differential decision of low-carbon supply chain based on market preferences with fairness concerns

Xia

2023

JIMO

View full text Add to dashboard Cite

show abstract

“…Research in carbon‐emission abatement has grown rapidly. With environmental problems becoming enormously important, governments have promulgated various policies to curb carbon emissions 14 . In 1997, the Kyoto Protocol established an emission trade mechanism and carbon‐emissions cap.…”

Section: Literature Reviewmentioning

confidence: 99%

“…With environmental problems becoming enormously important, governments have promulgated various policies to curb carbon emissions. 14 In 1997, the Kyoto Protocol established an emission trade mechanism and carbon-emissions cap. These regulations encourage firms to invest in green technologies.…”

Section: Carbon-emission Abatement Within Operational Decisionsmentioning

confidence: 99%

Financing decision for an emission‐dependent supply chain with capital constraints

Zheng

et al. 2022

Int J of Intelligent Sys

View full text Add to dashboard Cite

In this paper, we study the financing decision for an emission-dependent supply chain with one supplier and one manufacturer, both of which are financially constrained and in need of short-term financing for emission abatement. Three kinds of financing strategies are considered: (1) bank financing separately (BFS), (2) the manufacturer obtains partial loans from the bank, and borrows from the supplier (MPB), (3) the supplier obtains partial loans from the bank, and borrows from the manufacturer (SPB). The BFS is viewed as a noncollaborative financing strategy, and the MPB and SPB are collaborative financing strategies.The financing strategies are obtained at the point where wholesale price, production quantity, and emission reduction are endogenously determined. We found that the collaborative financing strategy is beneficial to the supplier and the whole supply chain compared with the noncollaborative financing strategy, the SPB strategy may outperform the MPB strategy for the supplier and the whole supply chain, depending on sharing proportion. The advantage of the MPB and SPB strategies relative to the BFS strategy mainly depends on sharing proportion from the manufacturer's perspective. We demonstrated that the collaborative financing strategy is the equilibrium strategy of the

show abstract

“…Thus, besides having strong dynamic capabilities, if an ED holds BDA capabilities to manage big data, it should respond more actively to emergencies, increasing its efficiency and performance in managing operations. Moreover, big data and BDA implementations in real-time systems will have great importance in providing sustainable ED operations (Das et al, 2021 ; Goli et al, 2019 , 2021 ; Midya et al, 2021 ; Mondal & Roy, 2022 ). Having such capabilities and advantages, BDA has attracted researchers, decision, and policymakers in coping with COVID-19 as a current global emergency (Abdel-Basset et al, 2021 ; Bag et al, 2021 ; Huang et al, 2020 ; Kapoor et al, 2021 ; Lee & Trimi, 2021 ; Mondal & Roy, 2021 ; Papadopoulos et al, 2020 ; Sharma et al, 2020 ; Sözen et al, 2022 ; Tirkolaee et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations

Sarıyer

Ataman²,

Mangla

et al. 2022

Ann Oper Res

View full text Add to dashboard Cite

Grounded in dynamic capabilities, this study mainly aims to model emergency departments' (EDs) sustainable operations in the current situation caused by the COVID-19 pandemic by using emerging big data analytics (BDA) technologies. Since government may impose some restrictions and prohibitions in coping with emergencies to protect the functioning of EDs, it also aims to investigate how such policies affect ED operations. The proposed model is designed by collecting big data from multiple sources and implementing BDA to transform it into action for providing efficient responses to emergencies. The model is validated in modeling the daily number of patients, the average daily length of stay (LOS), and daily numbers of laboratory tests and radiologic imaging tests ordered. It is applied in a case study representing a large-scale ED. The data set covers a seven-month period which collectively means the periods before COVID-19 and during COVID-19, and includes data from 238,152 patients. Comparing statistics on daily patient volumes, average LOS, and resource usage, both before and during the COVID-19 pandemic, we found that patient characteristics and demographics changed in COVID-19. While 18.92% and 27.22% of the patients required laboratory and radiologic imaging tests before-COVID-19 study period, these percentages were increased to 31.52% and 39.46% during-COVID-19 study period. By analyzing the effects of policy-based variables in the model, we concluded that policies might cause sharp decreases in patient volumes. While the total number of patients arriving before-COVID-19 was 158,347, it decreased to 79,805 during-COVID-19. On the other hand, while the average daily LOS was 117.53 min before-COVID-19, this value was calculated to be 165,03 min during-COVID-19 study period. We finally showed that the model had a prediction accuracy of between 80 to 95%. While proposing an efficient model for sustainable operations management in EDs for dynamically changing environments caused by emergencies, it empirically investigates the impact of different policies on ED operations.

show abstract

Application of Choquet integral in interval type‐2 Pythagorean fuzzy sustainable supply chain management under risk

Cited by 60 publications

References 56 publications

Differential decision of low-carbon supply chain based on market preferences with fairness concerns

Differential decision of low-carbon supply chain based on market preferences with fairness concerns

Financing decision for an emission‐dependent supply chain with capital constraints

Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations

Contact Info

Product

Resources

About