An integrated fuzzy approach for evaluating remanufacturing alternatives of a product design

Wang, Xiaojun; Chan, Hing Kai

doi:10.1186/2210-4690-3-10

Cited by 21 publications

(14 citation statements)

References 32 publications

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“…Several authors chose to integrate multi-criteria decision analysis (MCDA) in order to be able to combine different indicators into one aggregated result, deriving weights for the respective indicators, and even translate qualitative information into quantitative metrics [48][49][50][51][52]. In order to determine weights, researchers usually applied fuzzy evaluation methods, the Analytical Hierarchy Process (AHP) or a combination of those to translate qualitative evaluations of experts into metrics [48][49][50][51]53].…”

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

“…In order to determine weights, researchers usually applied fuzzy evaluation methods, the Analytical Hierarchy Process (AHP) or a combination of those to translate qualitative evaluations of experts into metrics [48][49][50][51]53]. Additional methods like TOPSIS or VIKOR were then used to either determine distance to target [50] or the best alternative [51]. Ostermeyer et al [54] dealt with the multi-criteria approach using Pareto optimization together with the application of LCC + LCA and defined more than 700 scenarios out of which the preferred option was identified using the Pareto optimal approach.…”

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

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Review of Life Cycle Sustainability Assessment and Potential for Its Adoption at an Automotive Company

2017

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Abstract:The aim of this paper is to guide the next steps of a PhD thesis through a structured review of the state of the art and implementation of Life Cycle Sustainability Assessment (LCSA), and to identify challenges and potentials for its adoption at an automotive company. First, the structured literature review was conducted on LCSA to screen the current methodological and practical implementations and to identify the main research needs in the field. Second, a research on the current status of LCSA within the automotive industry was carried out by means of investigation of published sources of 15 Original Equipment Manufacturers (OEM). By combining the results of both steps and consulting with decision makers, the challenges and potential for adopting LCSA at an automotive company were identified. The main challenges for adoption of LCSA were found to be: (1) the consistent execution of the three life cycle based assessment methods; (2) the comparatively low maturity of Social Life Cycle Assessment (S-LCA); and (3) the adequate presentation and interpretation of results. Next steps towards implementation would be a case study to gather experience on the combined execution of the three life cycle based assessments at an automotive company. Furthermore, it should be determined what the needs of decision makers at an automotive company are regarding the aggregation and interpretation of environmental, social, and economic impacts.

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Section: Multi-criteria Decision Analysismentioning

confidence: 99%

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

Review of Life Cycle Sustainability Assessment and Potential for Its Adoption at an Automotive Company

2017

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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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“…In the context of land resource assessment, a fuzzy set function (a continuous basis) is commonly used to undertake a CF technique (Baja et al, 2002;Burrough, 1989). Fuzzy set functions are also often used for other than land resources assessment areas, as done by Chen et al (2010), Chiclana et al (2007), Nardi and Nazori (2012), Mangaraj and Das (2008), Srivastava et al (2013), Vucetic and Simonovic (2013), Wang and Chan (2013), and Zhang et al (2013).…”

Section: Introductionmentioning

confidence: 99%

Using Fuzzy Set Approaches in a Raster GIS for Land Suitability Assessment at a Regional Scale: Case Study in Maros Region, Indonesia

Nurmiaty¹,

Baja²

2014

MAS

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Recently, spatial data on land resources have become more available, detailed, and sophisticated. Accordingly, it requires a method that could deal with those complex and detailed data in an effective way. A fuzzy set method with the semantic import model (SIM) was utilized within a raster GIS (geographic information systems) to analyze the area of Maros Regency on a reconnaissance scale basis. In this study, land attribute values were converted into continuous values (ranging from 0 to 1.0), according to the class limit determined based on field experiences, results of experiments, or fixed conventional standards. The evaluation criteria were based on land attributes which are divided into two main components: soil profile and topography. Each of land attributes within each component was valued from 0 (minimum) to 1.0 (maximum) according to the suitability of maize. Those values were represented as membership values, also ranging from 0 to 1.0. The result from land suitability analysis in Maros Regency for maize cultivation indicates that around 25% of land areas have a land suitability index (LSI) value of above 0.70 (suitable and very suitable), about 11% fall between 0.50 and 0.70 (moderately suitable), and 63% under 0.5 (not suitable). The main limiting factor for maize cultivation in this region is topography, especially slope gradient (s).

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An integrated fuzzy approach for evaluating remanufacturing alternatives of a product design

Cited by 21 publications

References 32 publications

Review of Life Cycle Sustainability Assessment and Potential for Its Adoption at an Automotive Company

Review of Life Cycle Sustainability Assessment and Potential for Its Adoption at an Automotive Company

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

Using Fuzzy Set Approaches in a Raster GIS for Land Suitability Assessment at a Regional Scale: Case Study in Maros Region, Indonesia

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