Innovative strategy to design a mixed resilient-sustainable electricity supply chain network under uncertainty

Hosseini‐Motlagh, Seyyed‐Mahdi; Samani, Mohammad Reza Ghatreh; Shahbazbegian, Vahid

doi:10.1016/j.apenergy.2020.115921

Cited by 37 publications

(22 citation statements)

References 58 publications

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“…In the third phase, given the constraints, the weighted total of the greatest level of satisfaction of each objective is optimized. By introducing an additional constraint in each phase to avoid deterioration of the solutions, the fourth phase integrates goal programming into the method [51] . In the fifth phase, according to the preferences of DM, the best solution for each objective is obtained.…”

Section: Solution Methodologymentioning

confidence: 99%

Designing a testing kit supply network for suspected COVID-19 cases under mixed uncertainty approach

Hosseini‐Motlagh

Samani

Farokhnejad

2021

Applied Soft Computing

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Motivated by the COVID-19 (C-19) pandemic and the challenges it poses to global health and the medical communities, this research aims to investigate the factors affecting of reduction health inequalities related to the C-19 to tackle the increasing number of outbreaks and their social consequences in such a pandemic. Hence, we design a COVID-19 testing kit supply network (C-19TKSN) to allocate various C-19 test kits to the suspected C-19 cases depending on the time between the emergence of their first symptoms and the time they are tested. In particular, this model aims to minimize the total network cost and decrease false results C-19 test by considering the fundamental characteristics of a diagnostic C-19 test (i.e., specificity and sensitivity). In the sensitivity characteristic, a gamma formula is presented to estimate the error rate of false-negative results. The nature of the C-19TKSN problem is dynamic over time due to difficult predictions and changes in the number of C-19 patients. For this reason, we consider the potential demands relating to different regions of the suspected C-19 cases for various C-19 test kits and the rate of prevalence of C-19 as stochastic parameters. Accordingly, a multi-stage stochastic programming (MSSP) method with a combined scenario tree is proposed to deal with the stochastic data in a dynamic environment. Then, a fuzzy approach is employed based on measure to cope with the epistemic uncertainty of input data. Eventually, the practicality and capability of the proposed model are shown in a real-life case in Iran. The results demonstrate that the performance of the MSSP model is significantly better in comparison with the two-stage stochastic programming (TSSP) model regarding the false results and the total cost of the network.

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Section: Solution Methodologymentioning

confidence: 99%

Designing a testing kit supply network for suspected COVID-19 cases under mixed uncertainty approach

Hosseini‐Motlagh

Samani

Farokhnejad

2021

Applied Soft Computing

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“…When access to sufficient information is not available, or the available information is ill-known, this approach is adopted. The fuzzy programming approach can be divided into two groups: flexible programming used to handle flexible constraints and objective functions and possibilistic programming used to handle data uncertainty [44] , [45] . Herein, in order to cope with different sources of uncertainty, fuzzy and stochastic approaches have been utilized simultaneously in the form of proposed hybrid stochastic possibilistic flexible programming, which are provided as follows.…”

Section: Solution Methodologymentioning

confidence: 99%

A novel capacity sharing mechanism to collaborative activities in the blood collection process during the COVID-19 outbreak

Samani

Hosseini‐Motlagh

2021

Applied Soft Computing

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Because of government intervention, such as quarantine and cancellation of public events at the peak of the COVID-19 outbreak and donors’ health scare of exposure to the virus in medical centers, the number of blood donors has considerably decreased. In some countries, the rate of blood donation has reached lower than 30%. Accordingly, in this study, to fill the lack of blood product during COVID-19, especially at the outbreak’s peak, we propose a novel mechanism by providing a two-stage optimization tool for coordinating activities to mitigate the shortage in this urgent situation. In the first stage, a blood collection plan considering disruption risk in supply to minimize the unmet demand will be solved. Afterward, in the second stage, the collected units will be shared between regions by applying the capacity sharing concept to avoid the blood shortage in health centers. Moreover, to tackle the uncertainty and disruption risk, a novel stochastic model combining the mixed uncertainty approach is tailored. A rolling horizon planning method is implemented under an iterative procedure to provide and share the limited blood resources to solve the proposed model A real-world case study of Iran is investigated to examine the applicability and performance of the proposed model; it should be noted that the designed mechanism is not confined just to this case. Obtained computational results indicate the applicability of the model, the superior performance of the capacity sharing concept, and the effectiveness of the designed mechanism for mitigating the shortage and wastage during the COVID-19 outbreak.

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“…In both cases, the power stations are classified as manufacturers or transformation nodes and the transformers and substations as part of the power distribution. The same classification is made for the electricity supply chain networks [63][64][65].…”

Section: Network Designmentioning

confidence: 99%

“…In terms of social criteria, the social costs of carbon emissions, the economic impact of road transport (noise, congestion, and accidents), and the cost of the externalities in the rail transport are studied in [59]; the social cost of opening a renewable energy generation unit is studied in [64]. In several articles, environmental aspects are included as a cost criteria [52,[57][58][59][60]64,65,73,86,91,95].…”

Section: Sustainabilitymentioning

confidence: 99%

Integrating Resilience and Sustainability Criteria in the Supply Chain Network Design. A Systematic Literature Review

López-Castro

Solano-Charris

2021

Sustainability

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Nowadays, Supply Chain Networks (SCNs) must respond to economic, environmental, social, and uncertain considerations. Thus, sustainable and resilience criteria need to be incorporated as key criteria into the Supply Chain Network Design (SCND). This paper, as part of an emerging subject, reviews the literature between 2010 and 2021 that integrates sustainability and resilience on the SCND. The article classifies the literature according to the levels of the SCND, levels of the decision-making (i.e., strategic, tactical, and operational), resilience and sustainability criteria, solving approach, objective criteria, contributions to the Sustainable Development Goals (SDGs), and real-world applications. The main findings allow us to conclude that the decisions regarding the supply chain network design with sustainability and resilience criteria are mainly strategic, focusing on the forward flow. Most works address resilience through the evaluation of scenarios (risk assessment perspective), and in terms of the sustainability perspective, authors mainly focus on the economic dimension through the evaluation of income and costs along the chain. Based on the review and the proposed taxonomy, the paper proposes ideas for future research.

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Innovative strategy to design a mixed resilient-sustainable electricity supply chain network under uncertainty

Cited by 37 publications

References 58 publications

Designing a testing kit supply network for suspected COVID-19 cases under mixed uncertainty approach

Designing a testing kit supply network for suspected COVID-19 cases under mixed uncertainty approach

A novel capacity sharing mechanism to collaborative activities in the blood collection process during the COVID-19 outbreak

Integrating Resilience and Sustainability Criteria in the Supply Chain Network Design. A Systematic Literature Review

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