A Foresight Support System Using MCDM Methods

Ondruš, Ján; Bui, Tuyen; Pigneur, Yves

doi:10.1007/s10726-014-9392-8

Cited by 19 publications

(12 citation statements)

References 33 publications

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“…It usually implements in the form of a questionnaire through various communication techniques (i.e., email, online, postal) to collect ideas, analyze terms, and reach a consensus from experts [28]. Delphi has been widely used to scrutinize the criteria in various applications such as information system management [29], cold chain improvement [30], foresight support system [31], etc. In this paper, we aim to use the Delphi method to screen the critical criteria and factors in facility layout.…”

Section: Screen the Critical Criteria And Factors With The Delphimentioning

confidence: 99%

A Hybrid MCDM Method Using Combination Weight for the Selection of Facility Layout in the Manufacturing System: A Case Study

Zha

Guo

Huang

et al. 2020

Mathematical Problems in Engineering

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Facility layout in the manufacturing system is an elaborate production activity since multiple, uncertain, and conflicting factors would affect facility layout decisions. Selecting the best facility layout among alternatives is considered as a problematic multicriteria decision-making (MCDM) problem. Generally, the facility layout is evaluated by the MCDM method with redundant factors, separate weights, and independent relationships between factors. To overcome this defect, this paper intends to propose a hybrid fuzzy MCDM method with combination weight (CW) based on integration with Delphi, fuzzy ANP, Entropy, and fuzzy PROMETHEE (CW-DFAE-FP) to select the most suitable facility layout alternative in an aircraft assembly workshop. The application results indicate that this method can effectively obtain the most suitable alternative for facility layout selection. Furthermore, the comparative analysis with other MCDM methods verifies the effectiveness of the proposed method and reveals the selection of weight has an impact on final priority ranking. Finally, sensitivity analysis highlights the performance of the proposed method and provides strategic insights to identify the critical criteria for the best alternative in facility layout.

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Section: Screen the Critical Criteria And Factors With The Delphimentioning

confidence: 99%

A Hybrid MCDM Method Using Combination Weight for the Selection of Facility Layout in the Manufacturing System: A Case Study

Zha

Guo

Huang

et al. 2020

Mathematical Problems in Engineering

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show abstract

“…Since 1988, some research articles have considered time generally and directly as an effective index in the MADM framework [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]. Explanations of time contribution differed in these research articles.…”

Section: Direct Contributionsmentioning

confidence: 99%

The Multi-Aspect Criterion in the PMADM Outline and Its Possible Application to Sustainability Assessment

et al. 2018

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Over the past few centuries, the process of decision-making has become more complicated in different respects. Since the initial phase of Multiple Criteria Decision Making (MCDM) around fifty years ago, Multiple Attribute Decision Making (MADM) has continued developing over the years as a sub-concept of MCDM. Noticeably, the importance of the decision-making process is increasingly expanding to such an extent that it necessarily blends into the undeniable processes of MADM actual models. Novel methods with different perspectives have been introduced considering the dynamic MADM concepts of time and future in classical frameworks; however, they do not overcome challenges in practice. Recently, Prospective MADM (PMADM) as a specific approach has presented future-oriented models using already known approaches of MCDM, and it has innovative items which show barriers of classic model of MADM. However, PMADM practically needs more conceptual bases to illustrate and plan the future of real decision-making problems. The Multi-Aspect Criterion is a new concept in mapping the future of the PMADM outline. In this regard, two examples of sustainability will be analyzed, and different requirements and aspects associated with PMADM will be discussed in this study. This new approach can support the PMADM outline in more detail and deal with a decision-making structure that can be considered as novel to industry experts.

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“…As we can see in literature DMADM is related to time but future is not on it for sure. Ondrus et al (2014) is designed based on Salo et al (2003) research article. This research is based on MADM model and technology foresight just as Salo et al (2003).…”

Section: A Brief Literature On New Trends In Madm Towards Future Topicsmentioning

confidence: 99%

An Introduction to Prospective Multiple Attribute Decision Making (Pmadm)

Zolfani

Maknoon

Zavadskas

2016

Technological and Economic Development of Economy

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Abstract. In recent years futures science has received a great deal of attention and has gained worldwide credibility in the science community as the science of tomorrows. The countless applications of futures studies in various fields have been a major breakthrough for mankind. Undoubtedly, decision making is one of the most significant aspects of shaping the future and an integral part of any credible future research. Multiple Criteria Decision Making (MCDM) in general and Multiple Attribute Decision Making in particular (MADM), are among the most remarkable subparts of the decision making process. The most recent model developed using the MADM method is the Dynamic MADM. The model does not specifically concentrate on the future actions and approaches and remains to be fully explored. This research presents a new concept and a new approach in the MADM field which is called the Prospective Multiple Attribute Decision Making (PMADM). The PMADM model can very well cover the DMADM concept but instead chooses to focus on future topics. The study also introduces two new approaches. The first research aims to elaborate the basis of this model and then evolves to deal with the future limiters as they potentially pop up and change the course of future actions. The new model based on future limiters is separated and categorized into two sections; one of which is looked upon without the probabilities rate and the other one with the probabilities rate. This approach is deemed priceless due to its major applicability in the ranking of the MADM methods such as: TOPSIS, VIKOR, COPRAS, ARAS, WASPAS and etc. Finally, a case study with the various applications of PMADM model in WASPAS methodology is put forth and illustrated.

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A Foresight Support System Using MCDM Methods

Cited by 19 publications

References 33 publications

A Hybrid MCDM Method Using Combination Weight for the Selection of Facility Layout in the Manufacturing System: A Case Study

A Hybrid MCDM Method Using Combination Weight for the Selection of Facility Layout in the Manufacturing System: A Case Study

The Multi-Aspect Criterion in the PMADM Outline and Its Possible Application to Sustainability Assessment

An Introduction to Prospective Multiple Attribute Decision Making (Pmadm)

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