Developing a framework for renewable technology portfolio selection: A case study at a R&amp;D center

Davoudpour, Hamid; Rezaee, S.; Ashrafi, Maryam

doi:10.1016/j.rser.2012.03.035

Cited by 37 publications

(15 citation statements)

References 11 publications

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“…Mohanty and S.G. Deshmukh (1998) [8] attempted to establish a strategic model for learning and evaluation to make advanced manufacturing technology selection and analyze a firm's investment justification in this area to take advantage of the competitive advantages in the global market. Hamid Davoudpour, Sara Rezaee, and Maryam Ashrafi (2012) [9] developed a mathematic model for renewable technology portfolio selection from a pool of candidate projects to allocate the limited resources to the best subset and maximize the support of the strategies and values. Shum,K.L.…”

Section: Introductionmentioning

confidence: 99%

The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytic hierarchy process): Case study of China

Tang

Sun

Yao

et al. 2014

Energy

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Section: Introductionmentioning

confidence: 99%

The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytic hierarchy process): Case study of China

Tang

Sun

Yao

et al. 2014

Energy

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“…The current approach will guide analysis of factors necessary for the company to align into use of in-house technology, outsource technology, and or decide on manual operations. Among others, some factors mentioned are (i) flexibility, investment cost, and operating expenses [47][48][49][50]; (ii) market, competitiveness, capability, technical, and environmental issues [51][52][53]; (iii) time, cost, quality, service, and resources [19,49,50]; and (iv) management, regulatory, economic, and financial issues [54][55][56][57].…”

Section: The Structured Methodology For Selection Of Remanufacturing mentioning

confidence: 99%

A holistic framework for evaluation and selection of remanufacturing operations: an approach

Kafuku

Saman

Yusof

et al. 2016

Int J Adv Manuf Technol

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Lack of efficient evaluation methods to help decision makers in making informed decision regarding in-house technology investments, outsourcing technology, and manual activities in the remanufacturing industry has raised serious concerns in the selection process of technologies based on company size and resources. This has resulted in the inability of decision makers to broadly assess the scope of alternative technologies against remanufacturing processes. Thus, it has resulted in the choice of a common solution based on inconsistencies and uncertainties. This paper proposes a holistic framework that can assist decision makers in evaluating the remanufacturing operations by offering better understanding of the performance and potential capabilities in the selection of appropriate technology. The salient feature of the proposed framework is its utilization of the fuzzy logic method as guiding tool to analyze criteria for technology selection in order to make informed decisions on whether to invest or outsource a technology or use labor-intensive operations to the specific process. The paper also highlights importance of the technology assessment framework in aligning and consolidating the dedicated thinking for the life cycle of the particular technology. The major contribution of the framework is its integration of obsolete and disposal phases with the acquisition and adoption phases. Therefore, during technology assessment, decision makers are guided by a step-by-step iterative process on technology requirement verification.

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“…The geometric mean of fuzzy comparison value of criterion i w i Triangular fuzzy number Very strongly important (VS) (5,7,9) Absolutely important (A) (7,9,9) …”

Section: Methodsmentioning

confidence: 99%

“…Davoudpour [5] established a mathematical model to select the technology portfolio by maximizing the organization value and support of the organization's strategy at an R&D center.İç [6] dealed computer integrated manufacturing technology selection problem. Both TOPSIS and design of experiment methods are used to determine the attributes.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy decision making model for selection of real time location systems

Budak

Üstündağ

2015

Applied Soft Computing

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Developing a framework for renewable technology portfolio selection: A case study at a R&D center

Cited by 37 publications

References 11 publications

The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytic hierarchy process): Case study of China

The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytic hierarchy process): Case study of China

A holistic framework for evaluation and selection of remanufacturing operations: an approach

Fuzzy decision making model for selection of real time location systems

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