A data-driven robust optimization for multi-objective renewable energy location by considering risk

Lotfi, Reza; Kargar, Bahareh; Gharehbaghi, Alireza; Afshar, Mohamad; Rajabi, Mohammad Sadra; Mardani, Nooshin

doi:10.1007/s10668-022-02448-7

Cited by 38 publications

(19 citation statements)

References 27 publications

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“…Embedding other tools of coherent risk measure like Conditional Value at Risk (CVaR) or Wang risk measure can tackle risks and uncertainty. Using novel uncertainty like data-driven robust optimization (Khalilpourazari & Hashemi Doulabi, 2021;Khalilpourazari & Pasandideh, 2021;Khalilpourazari et al, 2019;Lotfi, Kargar, Gharehbaghi, et al, 2022a) and neutrosophic optimization technique and learning approach (Mohammadi & Khalilpourazari, 2017) are very interesting for researchers (Ahmad, 2021).…”

Section: Discussionmentioning

confidence: 99%

Viable supply chain with vendor-managed inventory approach by considering blockchain, risk and robustness

et al. 2022

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This research shows a Viable Supply Chain with Vendor Managed Inventory approach by considering Blockchain, Risk, and Robustness. We embedded Blockchain Technology (BCT) to improve SC agility. To tackle risk and robustness, we suggest a new objective function with the weighted expected value, worst case, and Entropic Value at Risk for considering risk and robustness under different scenarios. This model is Mixed-Integer Linear Programming, and GAMS-Bonmin is utilized to solve it. The case study of this research is on the Pharmacy industry. We compare problems in the situation with BCT and without BCT. The results show that the cost function of the main problem without BCT is greater than the same problem with BCT, and its gaps are 0.61%. Finally, the cost function increase by increasing the conservative coefficient and decreasing the resiliency coefficient. The cost function reduces by increasing the confidence level. We change the scale of the problem and define problems. By increasing the scale of the problem, the solution time increased. KeywordsViable supply chain • Vendor managed inventory • Blockchain • Risk • Robustness B Reza Lotfi

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Section: Discussionmentioning

confidence: 99%

Viable supply chain with vendor-managed inventory approach by considering blockchain, risk and robustness

et al. 2022

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“…Creating resilience for SC in COVID-19 by using the AHP [121]. A risk-aware multi-objective optimization solution for renewable energy location [83]. The pharmaceutical industry has implemented a circular supply chain management system [73].…”

Section: Recent and Covid-19 Investigationsmentioning

confidence: 99%

Performance Measurement of the Sustainable Supply Chain During the COVID-19 Pandemic: A real-life case study

Abbasi

Khalili

Daneshmand-Mehr

et al. 2022

Foundations of Computing and Decision Sciences

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This paper aims to introduce a framework to measure the sustainable performance of the supply chain (SC) during the COVID-19 pandemic. The SC stakeholders in this investigation are Suppliers, Production / Remanufacturing / Refurbishing Centers (Factories), Collection / Distribution Centers, Recycling / Landfill Centers, and Customers. The suggested sustainable supply chain (SSC) performance measurement included three pillars with 23 indicators. To evaluate the overall sustainability of the SC understudy, a composite index has been developed that combines all the indicators to reflect the sustainability performance of the SC. Four steps are involved in creating a composite index:1) measuring the value of indicators, 2) weighing indicators, 3) Using the normalization technique, and 4) Evaluating the overall SSC indicator. The real case in Iran is selected as an illustrative case. Our research contributions are: We suggested a novelty indicator of SSC to better show the economic, environmental, and social tradeoffs during the COVID-19 pandemic and lockdowns. We have found and measured the negative and positive impacts of COVID-19 on aspects of sustainability in SC. Based on the achieved data of the real case study, a numerical example is represented to explain how to calculate the composite index. The main contribution of this paper is the development of SSC indicators during the COVID-19 epidemic.

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“…Aside, Lotfi et al (2022b) presented a robust multiobjective model of data-driven optimization for renewable energy location. The goal was to minimize risk and maximize profit.…”

Section: Literature Reviewmentioning

confidence: 99%

Big data-driven optimization for sustainable reverse logistics network design

Khoei

Aria

Gholizadeh

et al. 2022

J Ambient Intell Human Comput

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The reverse logistics network (RLN) design for sustainable supply chain management is a strategic decision in network configuration, and is higher influenced by uncertainty. This paper applies a bi-level stochastic multi-objective model to design an RLN for a disposable product recycling management system. The goal is to balance the overall network cost against the associated environmental risks. An LP-metric based sample average approximation is formulated to solve the optimization problem. The model is validated numerically through a disposable product firm.

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A data-driven robust optimization for multi-objective renewable energy location by considering risk

Cited by 38 publications

References 27 publications

Viable supply chain with vendor-managed inventory approach by considering blockchain, risk and robustness

Viable supply chain with vendor-managed inventory approach by considering blockchain, risk and robustness

Performance Measurement of the Sustainable Supply Chain During the COVID-19 Pandemic: A real-life case study

Big data-driven optimization for sustainable reverse logistics network design

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