Decision-making for flexible manufacturing systems using DEMATEL and SAW

Talebanpour, Reza; Javadi, Mehrdad

doi:10.5267/j.dsl.2015.4.002

Cited by 12 publications

(7 citation statements)

References 36 publications

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“…DEMATEL method has been applied in various decision-making environments such as financing decision for urban rail transit projects (Yuan et al, 2015), identifying critical factors in green supply chain management (Wu and Chang, 2015), studying parole boards' decision making (Tzeng, 2014), analysis of the social capital indicators (Kiakojuri et al, 2014), enhance order-winner factors (Lee et al, 2008) and so forth. Moreover, integrated model combining two or more methods like AHP, ANP, interpretive structural modeling, etc., has been extensively used in various areas such as analyzing internal barriers for automotive parts remanufacturers (Xia et al, 2015), decision making for flexible manufacturing systems (Talebanpour and Javadi, 2015), city logistics concept selection (Tadić et al, 2014), decision-making model for reverse logistics enterprise (Shaik and Abdul-Kader, 2014), emergency alternative evaluation ( Ju et al, 2015), evaluating agricultural information (Kim, 2006) and so forth.…”

Section: Fuzzy Dematelmentioning

confidence: 99%

Quantifying SWOT analysis for the Indian coal mining industry using Fuzzy DEMATEL

Khaba

Bhar

2017

BIJ

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Purpose The purpose of this paper is to quantify the strengths, weaknesses, opportunities and threats (SWOT) analysis for the Indian coal mining industry using Fuzzy Decision-Making Trial and Evaluation Laboratory. Design/methodology/approach After obtaining 17 factors from literature and expert opinion, an interview questionnaire was designed and tested to assure the content validity of questionnaire. A group of 15 qualified experts consisting of 4 professors from academic institutions and 11 management professionals from mining sector with substantial experience were consulted. Findings The result from causal relationship implied that the decision makers should focus on improving the ability of exploitation and production using quality improvement initiative such as lean production, developing research and development units for clean coal technology and working with strong exporters. This study also finds that foreign investment in mining sector is also a main factor that highly influences other factors. Research limitations/implications The study is based on personal judgments and the shortage of respondents limits the study to ensure the validity. Practical implications The stated strategies both for the government and industry through SWOT analysis could facilitate improved productivity of the Indian coal industry if adopted. Originality/value This paper demonstrates a process for quantitative SWOT analysis for the Indian coal mining industry that can be performed even when there is dependence among factors.

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Section: Fuzzy Dematelmentioning

confidence: 99%

Quantifying SWOT analysis for the Indian coal mining industry using Fuzzy DEMATEL

Khaba

Bhar

2017

BIJ

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“…The Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique was applied in 1974 by Duval, Fontela, and Gabus at the Battelle Memorial Institute, Geneva Research Centre, in order to visualize the structure of complex causal relationships via matrices or digraphs [43][44][45][46]. Among the more powerful DM techniques, the methodology is well-suited for the extraction of interdependent relationships and the intensities of interdependencies, cause and effect, among the complex parts of a system [44,47].…”

Section: Dematelmentioning

confidence: 99%

“…DEMATEL utilizes expert knowledge to arrive at a superior understanding of the correlations between factors, in accordance with the relationships and influences among various factors [44]. DEMATEL stems from the graph theory, and the approach involves the conversion of interdependency relationships into cause-and-effect groups using matrices [40,43,[45][46][47]. The method can also recognize indirect, direct, and interdependent effects between every complex factor, as well as rank each according to long-term DM strategies, all while indicating scope for improvement [43,45,48,49].…”

Section: Dematelmentioning

confidence: 99%

A Decision-Making Algorithm for Rearchitecting of Healthcare Facilities to Minimize Nosocomial Infections Risks

Parsia¹,

Sorooshian

2020

IJERPH

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Most of the healthcare facilities (HFs) have to face the nosocomial infections (NIs), which increase the rates of morbidity, mortality, and financial burden on the HFs and the patients. The control of the NIs is a global issue and requires additional effort. Because the pathogenic microbes can be transmitted among all the HF departments, the layout and design of the HFs (or the department configuration) is considered to play a significant role in control of the NIs. A few of the departments transmit the microbes more than other departments, called ‘cause’, while some other departments are more infected than others, called ‘effect’. Here, the researchers have stated that both the cause and effect departments are risky. This research tried to propose a comprehensive mathematical algorithm for choosing the high-risk department(s) by applying the NI and the managerial criteria to minimize NIs through rearchitecting of the HFs. To develop the algorithm, the researchers applied the multiple criteria decision-making (MCDM) methods. They used Decision-Making Trial and Evaluation Laboratory (DEMATEL) and modified weighted sum method (WSM) methods, and their hybrid, along with a modified nominal group technique (NGT) for data collection. The proposed algorithm was later validated by implementation in a HF as a case study. Based on all results of the algorithm, the high-risk departments in the HF were identified and proposed to be eliminated from the HF in such a way that the facility would retain its functionality. The algorithm was seen to be valid, and the feasibility of the algorithm was approved by the top managers of the HF after the algorithm was implemented in the case study. In conclusion, the proposed algorithm was seen to be an effective solution for minimizing the NIs risk in every HF by eliminating the high-risk departments, which could simplify the HF manager’s decisions.

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“…In other sectors beyond these, MCDM is the only dominant decision-making method identified including in Energy [6,52], Automotive [53,54], Manufacturing [55,56], PSS [57,58] and Supply Chain [59]. In all these latter sectors, it perhaps suggests that the emergent appreciation of the complex dynamics and the need for tools that cope with it are the drivers towards this trend.…”

Section: Descriptive Analysismentioning

confidence: 99%

A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

2020

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The complexity of construction processes often means interaction between various stakeholders, activities and tasks in order to deliver the expected outcomes. The intensity and dynamics of front-end design (FED) mean decision techniques and methods are important in supporting projects benefits delivery more importantly those based on utility of decision making. This paper explores a new utilitarian decision-making approach based on a systematic literature review of FED decision making. It presents the state of the art in design decision making concepts and analysis of tools over the last 10 years (2009–2019). From a total of 111 peer-reviewed journal papers, fifteen decision-making techniques are identified as dominant in design decision making, broadly grouped in four major categories as explanatory/rational, Multi Criteria Decision Making techniques (MCDM), Hybrid and Visual methods. The review finds that the most applied of the MCDM is Quality Function Deployment (QFD); while among the rational/explanatory techniques is set-based design (SBD). While there is limited application of Multi Attribute Utility Theory (MAUT) in decision making, the paper finds that the robust consistency and structured approach better captures the intricate dynamics of FED; including modelling of the subjectivity, interdependences and uncertainty in design discourse.

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Decision-making for flexible manufacturing systems using DEMATEL and SAW

Cited by 12 publications

References 36 publications

Quantifying SWOT analysis for the Indian coal mining industry using Fuzzy DEMATEL

Quantifying SWOT analysis for the Indian coal mining industry using Fuzzy DEMATEL

A Decision-Making Algorithm for Rearchitecting of Healthcare Facilities to Minimize Nosocomial Infections Risks

A Utilitarian Decision—Making Approach for Front End Design—A Systematic Literature Review

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