Review of PROMETHEE method in transportation

Oubahman, Laila; Duleba, Szabolcs

doi:10.30657/pea.2021.27.9

Cited by 42 publications

(26 citation statements)

References 26 publications

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“…In order to verify the excellent performance of the proposed algorithm, comparative experiments are implemented with AHP [47], ANP [48], D-TOSPIS [49], ELECTRE-II [50], and PROMETHEE [51]. Under the condition that the index evaluation information is inaccurate and the decision maker's preference information is incomplete, 20 potential design schemes including performance evaluation indexes of three products are analyzed and evaluated, which can be seen in Figure 14.…”

Section: Comparative Experimentsmentioning

confidence: 99%

A Rule-Based Decision Support Method Combining Variable Precision Rough Set and Stochastic Multi-Objective Acceptability Analysis for Multi-Attribute Decision-Making

Zhu

Liu

Zhang

et al. 2022

Mathematical Problems in Engineering

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In an open environment, the demands of users are diverse and dynamic because users can participate in product design from beginning to end. Owing to this, the disorderly and unplanned participation of users will greatly increase the complexity of multi-attribute decision-making (MADM) in the product design process. In order to ensure the smooth development of the open design process, the decision support model and method need to repeatedly provide decision makers (DMs) with necessary decision support information in a relatively short period of time, which can realize the evaluation of the scheme and improve the utilization efficiency of community resources. However, the process of eliciting preference information is complex, exhausting, inefficient, and time-consuming in existing methods, which will result in a poor decision-making. With the purpose of optimizing the eliciting process in MADM, a rule-based decision support method is proposed in this paper, where the process of eliciting preference information and decision-making are synchronized and guided by pre-extracted decision rules. The rules are deduced from comparison relations on attributes and their outcomes through the combination of variable precision rough set approach (VPRS) and stochastic multi-objective acceptability analysis (SMAA). With the concept of attribute reduction and approximation accuracy in rough set theory, the extracted rules could eliminate redundant attributes and assign the relative priority of preference information. Based on the extracted rules, the multi-attribute decision-making process could be carried out step by step in an orderly manner. In each step, DMs only need to provide partial preference information by non-quantitative statements according to extracted rules. Once the decision result is reliable enough, the eliciting and decision-making process can be terminated promptly. In order to validate the proposed approach, experiments of decision rule extraction are implemented, and the results show that the proposed approach is effective both in the weak rule extraction and the strong rule extraction.

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Section: Comparative Experimentsmentioning

confidence: 99%

A Rule-Based Decision Support Method Combining Variable Precision Rough Set and Stochastic Multi-Objective Acceptability Analysis for Multi-Attribute Decision-Making

Zhu

Liu

Zhang

et al. 2022

Mathematical Problems in Engineering

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“…It is so universal that technical or scientific education allows for further development in the field of engineering, urban planning, statistics, psychology, or environmental sciences and marketing. The need for such education/professions results from the presence of sustainability issues in every sector or industry in economies around the world [15]; − sustainable technology -technology management (MOT) [9] in order to define sustainable areas (technological innovation and new product development [16,17,18]) to maintain technological competitiveness on the market [19]. The measure of sustainability is the level of its development.…”

Section: Literature Reviewmentioning

confidence: 99%

Managing a Sustainable Supply Chain – Statistical Analysis of Natural Resources in the Furniture Industry

Wiśniewska-Sałek

2021

Management Systems in Production Engineering

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Managing a sustainable supply chain is a concept related to many areas of the economy. Its efficient functioning depends on the implementation of SDG activities and the development of industry (first-fourth/fifth industrial revolution). Due to the likelihood of different priorities in the implementation of the sustainable development goals, it is important to build such relationships, e.g. in the supply chain, so that their implementation could take place under similar conditions. Digitization, or the circular economy concept (CE), create an opportunity for the SME sector to build relationships as part of industry networks, for instance, where the managed supply chain would have a common and realistic goal to achieve. This goal will be a priority in business models based on sustainable development. The article presents the results of research regarding the furniture industry in Poland (key industry, referred to as smart specialization). The results of the analysis show that the industry has a large production potential, and the natural resources used in it are constantly increasing. However, there are doubts raised by the lack of stability in the dynamics of the sold production in the industry. Ultimately, the business model of the industry supply chain should focus on the environmental aspect (sustainable management of the raw material supply chain) and on eco-friendly consumption (sustainable management of the product supply chain), so that it can be managed in a sustainable way.

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“…An overview of economic literature has shown that different authors offer various classifications of factors, influencing the efficiency of work of MRO service units of enterprise [2,3,4,5,6,7,8,9,10,11,12]. Generalization and systematization of gained experience allows offering the classification, according to which the factors [13,14], influencing the efficiency of technical maintenance and repair of equipment on industrial services [15], are divided into general and local, primary and secondary [16,17], major and non-essential, direct and oblique [18,19,20,21,22], etc. (Table 1).…”

Section: Introductionmentioning

confidence: 99%

Factors, Increasing the Efficiency of Work of Maintenance, Repair and Operation Units of Industrial Enterprises

Krynke

Ivanova

Revenko

2022

Management Systems in Production Engineering

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The article contains the analysis of factors influencing the efficiency of work of equipment maintenance, repair and operation (MRO) units of industrial enterprises. We have systematized various classifications of these factors, which were proposed in economic literature by different authors. We have divided the factors into following groups: general and local; primary and secondary; external and internal; major and non-essential; direct and oblique; reducing and boosting the expenses on equipment MRO and repair cost; production and non-production; depending on management and independent; economic, operation, organization ones; structural and production-technical ones; which are interconnected. It has been proposed to classify factors influencing the efficiency of equipment MRO units into five groups: economic, exploitation, organization, production-technical and structural ones. Using expert evaluation method, the factors have been divided into three groups according to degree of their influence on efficiency of work of equipment MRO units of industrial enterprises. The priority was given to the factors of the first group, having decisive influence on formation of efficiency. The most significant factors have been identified. In opinion of experts, these factors include: method of organization of work of equipment MRO service; level of economic autonomy of MRO enterprise in terms of organization of equipment MRO; financial and market situation of enterprise; the degree of repair complexity of production equipment.

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Review of PROMETHEE method in transportation

Cited by 42 publications

References 26 publications

A Rule-Based Decision Support Method Combining Variable Precision Rough Set and Stochastic Multi-Objective Acceptability Analysis for Multi-Attribute Decision-Making

A Rule-Based Decision Support Method Combining Variable Precision Rough Set and Stochastic Multi-Objective Acceptability Analysis for Multi-Attribute Decision-Making

Managing a Sustainable Supply Chain – Statistical Analysis of Natural Resources in the Furniture Industry

Factors, Increasing the Efficiency of Work of Maintenance, Repair and Operation Units of Industrial Enterprises

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