Generalised framework for multi-criteria method selection

Wątróbski, Jarosław; Jankowski, Jarosław; Ziemba, Paweł; Karczmarczyk, Artur; Zioło, Magdalena

doi:10.1016/j.omega.2018.07.004

Cited by 398 publications

(235 citation statements)

References 115 publications

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“…Likewise, to discover and select suppliers effectively, customers have to weigh up multiple perspectives, and for this reason, according to [63], some existing approaches are not appropriate for building a long-term supply chain, but only for a single trading of specific products. The statement that the supplier evaluation problem has a multiple criteria nature was posed in the works [59,64]. Similarly, the segmentation of decision making methodologies for green supplier selection into individual and integrated methodology approach was investigated by Govindan et al [65].…”

Section: State-of-the-art Of the Suppliers' Selection Approachesmentioning

confidence: 99%

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Green Supplier Selection Criteria: From a Literature Review to a Comprehensive Knowledge Base

Konys

2019

Sustainability

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The supplier selection problem is one of the most important competitive challenges used by modern enterprises. Due to the fact that companies have to improve their practices in the management of a green supply chain that aims to respect green practices and technologies to increase sustainability, selecting the optimal green supplier is a challenging multi-dimensional problem. While most of the research has focused on the development and improvement of new methods, relatively limited attention has been paid to the identifying sets of criteria and capturing the domain knowledge. This issue is significant because a correctly identified set of criteria plays a vital role in supporting the decision-making process. The approach presented creates a gap between classical assumption of decision making and knowledge-based problem structuring. The current paper presents a methodological and practical background for capturing and handling knowledge about green supplier selection criteria, supported by a formal guideline for their appropriate acquisition. In addressing this research challenge, the aims of this paper are twofold: providing meta-analysis to reveal a collection of key data supported by a formal and trustworthy bibliometric analysis, and capturing knowledge in one place in the form of ontology for enabling selection and evaluation criteria of green suppliers is proposed. The proposed ontology is available for public use.Sustainability 2019, 11, 4208 2 of 41 issues related to business management and processes. In particular, the discovery and selection of knowledgeable suppliers has become a fundamental issue for global supply chain management.The choice of valuable suppliers ought to be focused on that type of partners that aim to respect green practices and technologies to increase sustainability. The assessment of the selection criteria does not only encompass the offered services and material quality, but also the supplier's opportunities for sustainable development, by adding individual green orientation to models of entrepreneurial intention to increase their explanatory power. Thus, a crucial key is to further establish the green policy of the company, especially with regard to supply chain management. There are many recent studies which focus on the green supplier selection issues, and there are also different approaches based on various methods, statistical models and artificial intelligence based models [9], data envelopment analysis [8], multi-criteria decision models/approaches [10], and cluster analysis, case-based reasoning systems [5]. With the large number of works oriented towards the development of methodological background in the green supplier selection process, little attention is paid to identifying and selecting the proper set of assessment criteria. Thus, the construction of models is based only on the knowledge of the experts/decision makers. [11][12][13][14]. It should be pointed that this process is very significant because a properly selected set of criteria determines the quality and c...

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Section: State-of-the-art Of the Suppliers' Selection Approachesmentioning

confidence: 99%

“…Recently, because of high flexibility in combined models, they are developed more [80]. They refer to conjunctions of various single models, for example AHP with goal programming or AHP with fuzzy set theory [64].…”

Section: State-of-the-art Of the Suppliers' Selection Approachesmentioning

confidence: 99%

Green Supplier Selection Criteria: From a Literature Review to a Comprehensive Knowledge Base

Konys

2019

Sustainability

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“…Discussions about the up-to-date MCDA methods can be found inter alia in [45, 46]. The AHP, TOPSIS and Electre methods are often indicated as popular and widely used in the problems of evaluation and ranking creation [47, 48].…”

Section: Methodsmentioning

confidence: 99%

“…None of the popular MCDA methods (AHP, TOPSIS, Electre) meet all of the indicated requirements at once. Based on a set of 56 MCDA methods discussed in [45] and the MCDA taxonomy contained there, it is easy to show that these assumptions are fully implemented only by the PROMETHEE II method. Therefore, it was decided to use this method in the next steps of the data analysis.…”

Section: Methodsmentioning

confidence: 99%

Multi-criteria decision support for planning and evaluation of performance of viral marketing campaigns in social networks

2018

Self Cite

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The current marketing landscape, apart from conventional approaches, consists of campaigns designed especially for launching information diffusion processes within online networks. Associated research is focused on information propagation models, campaign initialization strategies and factors affecting campaign dynamics. In terms of algorithms and performance evaluation, the final coverage represented by the fraction of activated nodes within a target network is usually used. It is not necessarily consistent with the real marketing campaigns using various characteristics and parameters related to coverage, costs, behavioral patterns and time factors for overall evaluation. This paper presents assumptions for a decision support system for multi-criteria campaign planning and evaluation with inputs from agent-based simulations. The results, which are delivered from a simulation model based on synthetic networks in a form of decision scenarios, are verified within a real network. Last, but not least, the study proposes a multi-objective campaign evaluation framework with several campaign evaluation metrics integrated. The results showed that the recommendations generated with the use of synthetic networks applied to real networks delivered results according to the decision makers’ expectation in terms of the used evaluation criteria. Apart from practical applications, the proposed multi-objective approach creates new evaluation possibilities for theoretical studies focused on information spreading processes within complex networks.

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“…Therefore, the point is not to obtain an objective status of a case, rather to model the decision-making situation in accordance with the decision-maker's value system and to solve the problem. Multiple Criteria Decision Analysis (MCDA) / Multiple Criteria Decision Making (MCDM) methods can be grouped as different criteria [6,18,19], e.g. :  methods based on the outranking relation -ELECTRE methods [20,21], PROMETHEE methods [22,23], ORESTE [24], REGIME [25], TACTIC [26], NAIADE [27], MELCHIOR [28], etc.…”

Section: Introductionmentioning

confidence: 99%

Decision Making Methods in Comparative Studies of Complex Economic Processes Management

Nermend

Piwowarski

Borawski

2020

eijs

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In this study different methodological approaches are used and described by many features (indicators) of complex socio-economic process. Outcome of analysis has the most reliable and acceptable representation of the studied process specific to chosen case. In order to solve problems in this area (depending on the situation, case under consideration), methods from two groups are most often used: multidimensional comparative analysis and multi-criteria decision analysis. The first of these cases concern problems at the macro level (socio-economic development, demographic situation, population's living standards, etc.), in which the decisionmaker's participation is relatively small (eg the selection of diagnostic variables or expert assessment). The second of these groups include issues in which the decisionmaker's participation is significant which are subjective to the decisions taken and reflects his or her preferences. Among the decision support methods, one can also distinguish those that have both the characteristics of methods from the area of multidimensional comparative analysis and multi-criteria decision analysis. The article presents the combination of both trends exposing maximum possibilities of using selected methods used in the decision making by Polish schools. The general methodological assumptions, advantages of having approaches discussed (in relation to other known methods) as well as the applied aspects (exemplary applications) also presented.

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Generalised framework for multi-criteria method selection

Cited by 398 publications

References 115 publications

Green Supplier Selection Criteria: From a Literature Review to a Comprehensive Knowledge Base

Green Supplier Selection Criteria: From a Literature Review to a Comprehensive Knowledge Base

Multi-criteria decision support for planning and evaluation of performance of viral marketing campaigns in social networks

Decision Making Methods in Comparative Studies of Complex Economic Processes Management

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