Robust design and optimization of solar photovoltaic supply chain in an uncertain environment

Dehghani, Ehsan; Jabalameli, Mohammad Saeed; Jabbarzadeh, Armin

doi:10.1016/j.energy.2017.10.004

Cited by 55 publications

(21 citation statements)

References 64 publications

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“…The results indicate identical behaviors for applying all datasets to the presented model. Notably, these findings are perfectly compatible with the outcomes achieved by [50,51].…”

Section: The Trade-off Between Sr and Mrsupporting

confidence: 84%

Designing a disruption-aware supply chain network considering precautionary and contingency strategies: a real-life case study

2021

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Due to the high risk in the business environment, supply chains must adopt a tailored mechanism to deal with disruptions. This research proposes a multi-objective formulation to design a robust and resilient forward supply chain under multiple disruptions and uncertainty. The mentioned objective functions include minimizing the total cost, environmental impacts, and the network non-resiliency associated with the supply chain simultaneously countered using an augmented ε-constraint method. A Mulvey robust optimization approach is also utilized to deal with uncertainty. Ultimately, the developed model is validated based on three datasets associated with a case study of the steel industry. The results indicate that preventive and mitigation resilience strategies have significantly promoted the supply chain's capabilities to deal with disruptions. Controlling network resiliency via non-resiliency measures has also created a risk-aware and robust structure in the incidence of disturbances. Numerical results reveal that multiple sourcing, lateral transshipment, and fortification of facilities will lead to the greatest cost-efficiency in the case study. Observations also indicate that the fortified supply chain will be highly economically viable in the long run due to the reduction of costs resulting from lost sales, unnecessary inventory holding, and the company's credit risk.

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“…The results indicate identical behaviors for applying all datasets to the presented model. Notably, these findings are perfectly compatible with the outcomes achieved by [50,51].…”

Section: The Trade-off Between Sr and Mrsupporting

confidence: 84%

Designing a disruption-aware supply chain network considering precautionary and contingency strategies: a real-life case study

2021

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“…Finally, the optimal revenue value of each of the models is compared in terms of average and SD. By adoption from Dehghani et al (2018), the steps of evaluation of proposed models are summarized in Figure 4. The results from solving the models for random realizations are summarized in Table 12.…”

Section: Computational Resultsmentioning

confidence: 99%

A multi-attribute model to optimize the price and composition of prepaid mobile Internet plans

Sohrabi

Pishvaee

Hafezalkotob

et al. 2020

JEIM

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PurposePrepaid mobile Internet is one of the most profitable services that are composed of multiple attributes. The overall utility of Internet service can be broken down into the sum of the utility of individual attribute levels. Based on the multi-attribute theory, rational consumers choose the service that yields the highest utility from a number of possible alternatives. Determining the optimal attribute levels that satisfy consumers' preferences and maximize the total revenue of the firm is a challenging multi-attribute decision problem for any mobile operator. When designing mobile Internet services, adopting a robust composition of services against different realizations of competitors' strategies can bring advantages for network operators. The purpose of this study is to determine the optimal attribute levels of prepaid mobile Internet packages with the aim of maximizing the total revenue of the firm by considering the paradigms of multi-attribute utility theory about consumer choices and the issue of uncertainty in counterpart services offered by the competitors.Design/methodology/approachThis paper formulates the problem of multi-attribute pricing and design of mobile Internet plans in a competitive environment by developing deterministic and robust scenario-based mathematical models and considering the paradigms of multi-attribute utility theory about consumer choices. The proposed robust scenario-based models are based on three different paradigms, including maximizing expected revenue, minimizing the negative deviation from expected revenue and minimizing the maximum regret. A comprehensive numerical analysis is conducted to evaluate and compare the efficiency of the proposed models.FindingsThe evaluations reveal that deploying recourse policy can result in higher revenue for the firm when facing uncertainty. By doing sensitivity analysis, this paper shows that consumer preferences for brand attribute and consumers' purchase frequency can influence the revenue of network operators.Originality/valueThis paper develops a novel deterministic multi-attribute product line design (PLD) model to address the problem of determining the price and composition of prepaid mobile Internet plans. Furthermore, the issue of uncertainty in counterpart services offered by the competitors is studied for the first time in the PLD literature.

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“…After the analysis of several game theoretic decision models and their numerical studies, Chen and Su [ 13 ] developed a joint decision-making method for the core members in a single PV supply chain considering the government subsidy. Dehghani, Jabalameli and Jabbarzadeh [ 14 ] developed a two-phase approach based on DEA and the robust optimization models to design and plan a solar photovoltaic supply chain in an uncertain environment. Zhang and Wang [ 15 ] studied a price competition model of an environmentally friendly supply chain vs. a harmful competing supply chain consisting of one manufacturer and one retailer from the perspective of the corporation social responsibility (CSR), adopting a two-stage Stackelberg game under the condition of incomplete knowledge and validating the results through a case in the PV industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Dual Competing Photovoltaic Supply Chains: A Social Welfare Maximization Perspective

Chen

2017

IJERPH

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In the past decades, the inappropriate subsidy policies in many nations have caused problems such as serious oversupply, fierce competition and subpar social welfare in the photovoltaic (PV) industry in many nations. There is a clear shortage in the PV industry literature regarding how dual supply chains compete and the key decision issues regarding the competition between dual PV supply chains. It is critical to develop effective subsidy policies for the competing PV supply chains to achieve social welfare maximization. This study has explored the dual PV supply chain competition under the Bertrand competition assumption by three game-theoretical modeling scenarios (or supply chain strategies) considering either the public subsidy or no subsidy from a social welfare maximization perspective. A numerical analysis complemented by two sensitivity analyses provides a better understanding of the pricing and quantity decision dynamics in the dual supply chains under three different supply chain strategies and the corresponding outcomes regarding the total supply chain profits, the social welfare and the required total subsidies. The key findings disclose that if there are public subsidies, the dual PV supply chains have the strongest intention to pursue the decentralized strategy to achieve their maximal returns rather than the centralized strategy that would achieve the maximal social welfare; however, the government would need to pay for the maximal subsidy budget. Thus, the best option for the government would be to encourage the dual PV supply chains to adopt a centralized strategy since this will not only maximize the social welfare but also, at the same time, minimize the public subsidy. With a smart subsidy policy, the PV industry can make the best use of the subsidy budget and grow in a sustainable way to support the highly demanded solar power generation in many countries trying very hard to increase the proportion of their clean energy to combat the global warming effect. Several subsidy policies such as shared solar energy arrangements and performance-based incentive (PBI) are proposed to integrate the market users and the PV supply chains. This study serves as a pioneering study into the dual PV supply chain research which is very limited in the PV management and policy study literature. The findings and several untended issues provide a foundation for the future PV supply chain studies.

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Robust design and optimization of solar photovoltaic supply chain in an uncertain environment

Cited by 55 publications

References 64 publications

Designing a disruption-aware supply chain network considering precautionary and contingency strategies: a real-life case study

Designing a disruption-aware supply chain network considering precautionary and contingency strategies: a real-life case study

A multi-attribute model to optimize the price and composition of prepaid mobile Internet plans

Dual Competing Photovoltaic Supply Chains: A Social Welfare Maximization Perspective

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