Design and implementation of a group DSS for sustaining renewable energies exploitation

Georgopoulou, E.; Sarafidis, Y.; Diakoulaki, D.

doi:10.1016/s0377-2217(98)00072-1

Cited by 160 publications

(79 citation statements)

References 14 publications

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“…The respondents often find it easier to express their weightings on an ordinal scale rather than on a numerical scale. This procedure has been applied by other researchers in Greece (Georgopoulou et al 1998), Austria (Madlener et al 2007) and Australia (Kodikara 2008) and was found to be very well accepted by DMs.…”

Section: Identification Of Options or Alternativesmentioning

confidence: 90%

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Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management

Mutikanga

Sharma

Vairavamoorthy

2011

Water Resour Manage

121

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Water utilities particularly in the developing countries continue to operate with considerable inefficiencies in terms of water and revenue losses. With increasing water demand and scarcity, utilities require effective strategies for optimum use of available water resources. Diverse water loss reduction options exist. Deciding on which option to choose amidst conflicting multiple criteria and different interests of stakeholders is a challenging task. In this paper, an integrated multi-criteria decision-aiding framework for strategic planning of water loss management is presented. The PROMETHEE II method was applied within the framework in prioritizing water loss reduction options for Kampala city. A strategic plan that combines selective mains and service lines replacement and pressure management as priorities is the best compromise based on preferences of the decision makers and seven evaluation criteria characterized by financial-economic, environmental, public health, technical and social impacts. The results show that the most preferred options are those that enhance water supply reliability, public health and water conservation measures. This study demonstrates how decision theory coupled with operational research techniques could be applied in practice to solve complex water management and planning problems.

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Section: Identification Of Options or Alternativesmentioning

confidence: 90%

“…The choice of the EC is based on the established objectives and the purpose of options considered. Criteria should be able to discriminate among options, complete, non-redundant, operational, measurable and minimal for sound decision making (Georgopoulou et al 1998). Criteria should not be too many or too few.…”

Section: Identification Of Options or Alternativesmentioning

confidence: 99%

Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management

Mutikanga

Sharma

Vairavamoorthy

2011

Water Resour Manage

121

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“…Many studies have applied MCDM methods as a useful tool in energy planning (Tzeng et al 1992;Georgopoulou et al 1998;Pohekar and Ramachandran 2004;Loken 2007;Tsoutsos et al 2009;Kahraman et al 2010;Moghaddam et al 2011;Yeh and Huang 2014). For instance, in a study by Tsoutsos et al (2009), a set of energy alternatives were determined for different sources of energy on the island of Crete in Greece.…”

Section: Related Workmentioning

confidence: 99%

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Afsordegan

Sánchez

Agell

et al. 2016

Int. J. Environ. Sci. Technol.

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Multi-criteria decision-making methods support decision makers in all stages of the decision-making process by providing useful data. However, criteria are not always certain as uncertainty is a feature of the real world. MCDM methods under uncertainty and fuzzy systems are accepted as suitable techniques in conflicting problems that cannot be represented by numerical values, in particular in energy analysis and planning. In this paper, a modified TOPSIS method for multi-criteria group decision-making with qualitative linguistic labels is proposed. This method addresses uncertainty considering different levels of precision. Each decision maker's judgment on the performance of alternatives with respect to each criterion is expressed by qualitative linguistic labels. The new method takes into account linguistic data provided by the decision makers without any previous aggregation. Decision maker judgments are incorporated into the proposed method to generate a complete ranking of alternatives. An application in energy planning is presented as an illustrative case example in which energy policy alternatives are ranked. Seven energy alternatives under nine criteria were evaluated according to the opinion of three environmental and energy experts. The weights of the criteria are determined by fuzzy AHP, and the alternatives are ranked using qualitative TOPSIS. The proposed approach is compared with a modified fuzzy TOPSIS method, showing the advantages of the proposed approach when dealing with linguistic assessments to model uncertainty and imprecision. Although the new approach requires less cognitive effort to decision makers, it yields similar results.

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“…The measurement scale for every criterion should be clearly determined, both in terms of a quantitative and a qualitative value (Georgopoulou et al 1998). The unit of measurement for criteria consists of nominal, ordinal, interval, and ratio scales.…”

Section: Criteria For Risk Mitigations: Sustainability and Risk Criteriamentioning

confidence: 99%

Managing risks in the Indonesian seaweed supply chain

Mulyati

Geldermann

2016

Clean Techn Environ Policy

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Seaweed supply chains in Indonesia, especially carrageenan and agar products, are subject to risks arising both inside the participating companies and in their external networks. Uncertainties in yield, quality, price, and infrastructure in one part of the supply chain can affect the whole chain. To ensure a sustainable seaweed industry, an appropriate supply chain risk management (SCRM) is needed. There are four critical steps in SCRM: identifying seaweed supply chains, identifying and categorizing risks, assessing risks, and mitigating risks. To identify seaweed supply chains, we conducted field research, in-depth interviews, and literature studies. The field survey was conducted in the Provinces of South Sulawesi, West Java, East Java, Banten, and West Nusa Tenggara. The seaweed supply chains were modeled by the software Umberto to get a better understanding of material and energy flows between the key members. To identify and categorize the risks, we started with the risks mentioned in the existing literature works, and then applied the Delphi method to analyze the potential risk sources, their causes, and their impacts. To assess risks, we used a semiquantitative approach through the face-to-face interviews to generate a risk map showing the likelihood, and impact of adverse events. Afterward, the risk intensity was categorized based on the value of the responses and classified into five categories: negligible, marginal, critical, most critical, and catastrophic risks. The mitigation strategies considered sustainability (environment, economy, and social) and risks criteria. Multi-criteria decision analysis was used to evaluate these strategies.

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Design and implementation of a group DSS for sustaining renewable energies exploitation

Cited by 160 publications

References 14 publications

Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management

Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Managing risks in the Indonesian seaweed supply chain

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