Application of fuzzy TOPSIS method for risk evaluation in development and implementation of solar park in India

Ranganath, N.; Sarkar, Debasis; Patel, Preet; Patel, Smit

doi:10.1080/15623599.2020.1826027

Cited by 19 publications

(11 citation statements)

References 28 publications

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“…Based on the review of the various assessment approaches for supply chain [13,14,16,59], fuzzy logic approach was highly preferred by researchers owing to its capability to incorporate and deal with problems involving impreciseness and vagueness phenomena. From literature, it is evident that researches adopted fuzzy multi-criteria decision-making methods in numerous sectors; for example: to assess sustainability of small urban neighbourhoods [60] and resilience of urban communities [61]; to locate supply chain logistic centres [62]; analysing safety hazards and occupational risks [63]; ranking alternative construction project plans [64] and renewable energy parks [65]; selection of material in the design and fabrication process [66]. The disadvantages of other approaches as that they are inflexible and must be restructured to appropriate the prevailing new circumstances as they involve several levels of linguistic terms or different membership functions usage.…”

Section: Models Focused Onmentioning

confidence: 99%

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

2021

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Worldwide business organizations realize that agility of sustainable supply-chain is a requisite need for survival in a dynamic, competitive, and unpredictable market. The contribution of this research is to explore and evaluate sustainable agility in supply chains for a dairy manufacturing organization located in Saudi Arabia. Other contributions of this research are to update the literature about the different factors contributing to achieve agile supply chain, propose conceptual framework and assessment approach incorporating the relationships between sustainable supply-chain capabilities, enablers, and attributes, and shortlisting the agility barriers and how they would facilitate manufacturing organizations’ performance. The paper presents supply chain agility evaluation approach, which covers identification of agile supply-chain capabilities and drivers. It also presents a conceptual model and a framework to define agility level and barriers within the supply-chain. In the paper, fuzzy logic approach is preferred, owing to its capability to incorporate and deal with problems involving impreciseness and vagueness phenomena. Threshold-value in this study for the case organization is set to 0.24829. The outcome of the adopted approach indicates that 21 attributes performed below the threshold value; these attributes are further categorized as agility barriers. These are the barriers within their supply chain that impact the agility-level. For the case organization, the foremost priority is to enhance maintainability and serviceability to make it flexible and inexpensive to establish an agile responsive supply chain. At the same time, it should have priority to focus on development and integration of their core competencies to deal with cross-functional and cross-enterprise issues in supply chain. For the case organization, the agility level was found “very agile,” although it is below the “extremely agile.” Thus, a study was developed to understand the behaviour of the supply chain agility and assess/evaluate it to support decision makers in order to develop a strategic solution for different organizational barriers.

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Section: Models Focused Onmentioning

confidence: 99%

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

2021

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“…Thus, the project managers and contractors need to adopt their existing Risk Action Plans with necessary updates and revisions as required. The risk management techniques should include all critical members involved in the project at different phases (Ranganath et al, 2020). Further, risk management techniques should provide more accurate and decisive making outcome to help management mitigate or reduce the severity of risks through inclusion or exclusion of alternative solutions based on hard cut-offs.…”

Section: Managing Projects and Construction Risks During The Coronavirus Pandemicmentioning

confidence: 99%

Future of Construction Industry: COVID-19 and Its Implications on Construction Projects and Risk Management – A Review

Adhikari¹,

Poudyal²

2021

Preprint

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The global coronavirus (COVID-19) pandemic has created a whole new set of risks in construction industries generating unprecedented delays, disruptions, and uncertainty on construction projects, and has forced the industries in adopting more sophisticated technologies while combating the reduced workforce on job sites. Further, the post-pandemic era of construction is expected to be a lot different as the industries will embrace the technology as the augmentation and collaboration strategy. Thus, it will be extremely hard to sustain for construction industries in the absence of effective risk management. The existing risk plans need to be inspected for their capability of handling new risks arising from COVID-19 and the project managers will need to make the necessary revisions as needed. This paper discusses on past (NORM), present (NEW NORM), and future (Post COVID-19 NORM) of the construction industry and highlights key strategies for managing projects and construction risks during and post COVID-19 pandemic.

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“…For example, Y. Xu & Li [21]developed a model of fuzzy hierarchical analysis process to assess risks in fuzzy hierarchical analysis. Ranganath, Sarkar, Patel, & Patel [22] Proposed a risk assessment method based on the fuzzy approach so as to adapt to the uncertainties and mentalities arising from the construction process. Also, a risk assessment model has recently been developed by Zhao, Hwang, & Gao [23], using the fuzzy hybrid assessment approach to investigate risks in green projects in Singapore.…”

Section: Literature Surveymentioning

confidence: 99%

A Framework for Project Risk Assessment in Dynamic Networks: A Case Study of Oil and Gas Megaproject Construction

et al. 2021

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Conventionally, risk assessment methods suffer from ignoring the dynamic nature of risks. Therefore, this study demonstrates an interactive approach to risks and prioritizes risks based on their overall cyclic events acting on the attainment of the goals of a project during its life cycle. Hence, the risks of the project of gas condensate storage tank construction (G.C.S.T.C) are first identified and evaluated by using a fuzzy inference system (F.I.S); then, the created risk network is simulated over the project life cycle by using the results of the F.I.S; finally, the impacts of the risks are assessed by applying purposeful indicators. Based on the results, the risk of the increase in the economic sanctions most significantly impacts on achieving the project goals, and lack of the governmental support, the variation of the fiscal governmental policy, high inflation rates, and sharp changes in the exchange rate are considered as the important risks. The results also demonstrated that these five risks improved the attainment of the project goals by more than 55%, while the total improvement on the 21 other risks enhanced the achievement of the project goals by less than 45%.

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Application of fuzzy TOPSIS method for risk evaluation in development and implementation of solar park in India

Cited by 19 publications

References 28 publications

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

Future of Construction Industry: COVID-19 and Its Implications on Construction Projects and Risk Management – A Review

A Framework for Project Risk Assessment in Dynamic Networks: A Case Study of Oil and Gas Megaproject Construction

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