Selecting hydrogen production methods using fuzzy analytic hierarchy process with opportunities, costs, and risks

Heo, Eunnyeong; Kim, Jinsoo; Cho, Sangmin

doi:10.1016/j.ijhydene.2012.09.055

Cited by 73 publications

(43 citation statements)

References 21 publications

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“…The application of SCA can provide useful insights regarding the production capacity levels and inform managers/decision makers whether improvements are needed to maximize productivity (Jodlbauer, 2008;Heo et al, 2012;Noyes et al, 2014) . SCA can also help manufacturers of multiple products adjust production to ensure that the right mix of resources is allocated to the right production lines.…”

Section: Productionmentioning

confidence: 99%

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

Wang

Gunasekaran

Ngai

et al. 2016

International Journal of Production Economics

1,108

750

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The amount of data produced and communicated over the Internet is significantly increasing, thereby creating challenges for the organizations that would like to reap the benefits from analyzing this massive influx of big data. This is because big data can provide unique insights into, inter alia, market trends, customer buying patterns, and maintenance cycles, as well as into ways of lowering costs and enabling more targeted business decisions. Realizing the importance of big data business analytics (BDBA), we review and classify the literature on the application of BDBA on logistics and supply chain management (LSCM) -that we define as supply chain analytics (SCA), based on the nature of analytics (descriptive, predictive, prescriptive) and the focus of the LSCM (strategy and operations). To assess the extent to which SCA is applied within LSCM, we propose a maturity framework of SCA, based on four capability levels, that is, functional, process-based, collaborative, agile SCA, and sustainable SCA. We highlight the role of SCA in LSCM and denote the use of methodologies and techniques to collect, disseminate, analyze, and use big data driven information. Furthermore, we stress the need for managers to understand BDBA and SCA as strategic assets that should be integrated across business activities to enable integrated enterprise business analytics. Finally, we outline the limitations of our study and future research directions.

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Section: Productionmentioning

confidence: 99%

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

Wang

Gunasekaran

Ngai

et al. 2016

International Journal of Production Economics

1,108

750

View full text Add to dashboard Cite

show abstract

“…In order to enable decision makers to use linguistic expressions rather than numbers and efficiently convey human perceptions, a fuzzy AHP approach was developed (Heo et al, 2012). Among the many fuzzy AHP methods (Buckley, 1985;Deng, 1999;Stam et al, 1996;Van Laarhoven and Pedrycz, 1983) the extent analysis method (Chang, 1996) is the most popular.…”

Section: Fuzzy Analytic Hierarchy Processmentioning

confidence: 99%

Participatory and multi-criteria analysis for forest (ecosystem) management: A case study of Pohorje, Slovenia

Grošelj

Hodges

Stirn

2016

Forest Policy and Economics

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The primary aims of forest management are to rank and evaluate the effects of forest management scenarios on human communities, landscapes, and the development of forest services, and to achieve a balance between the economic, environmental, social, and cultural uses of forests. Multi-criteria decision methodology offers an effective alternative to address such forest management issues, particularly if they involve multiple stakeholders -including local communities, public representatives, and environmentalists -each of which possess different knowledge, experiences, and prospects. Group methods, based on participatory planning, can be applied to integrate such different interests into an optimal, joint decision. It is for this reason that a new decision model based on a group fuzzy analytic network process was designed. In a case study of the forest area at Pohorje, Slovenia, alternative development scenarios were evaluated by means of the generated model. Six possible management scenarios defined by sustainability indicators were identified. The scenarios were compared and assessed by several stakeholders according to the results of a SWOT analysis. The results reveal that most attention should be devoted to preserved nature, cultural heritage, and local tradition.

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“…When we take a look for the last ten years, as before, we can see that AHP is being used in various fields such as supplier selection 20 , tissue engineering 21 , firm's performance evaluation 22 , hydrogen production method selection 23 , military personnel assignment 24 , maintenance strategy selection 25 , and macroergonomics 26 .…”

Section: Analytic Hierarchy Process -Ahpmentioning

confidence: 99%

Criteria Weighting and 4P's Planning in Marketing Using a Fuzzy Metric Distance and AHP Hybrid Method

Gürbüz¹,

Albayrak²,

Alaybeyoğlu³

2014

IJCIS

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Production and consumption relationship shows that marketing plays an important role in enterprises. In the competitive market, it is very important to be able to sell rather than produce. Nowadays, marketing is customeroriented and aims to meet the needs and expectations of customers to increase their satisfaction. While creating a marketing strategy, an enterprise must consider many factors. Which is why, the process can and should be considered as a multi-criteria decision making (MCDM) case. In this study, marketing strategies and marketing decisions in the new-product-development process has been analyzed in a macro level. To deal quantitatively with imprecision or uncertainty, fuzzy sets theory has been used throughout the analysis.

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Selecting hydrogen production methods using fuzzy analytic hierarchy process with opportunities, costs, and risks

Cited by 73 publications

References 21 publications

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

Participatory and multi-criteria analysis for forest (ecosystem) management: A case study of Pohorje, Slovenia

Criteria Weighting and 4P's Planning in Marketing Using a Fuzzy Metric Distance and AHP Hybrid Method

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