Selection of recycling centre locations by using the interval type-2 fuzzy sets and two-objective genetic algorithm

Tadić, Danijela; Đorđević, Aleksandar; Aleksić, Aleksandar; Nestić, Snežana

doi:10.1177/0734242x18799180

Cited by 10 publications

(8 citation statements)

References 38 publications

(51 reference statements)

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“…The AHP method [69] has been widely used for various decision-making problems. Its extensions have been applied in numerous papers, for example, FAHP with Triangular fuzzy numbers, developed in [70] and used in [71,72]; FAHP with Trapezoidal fuzzy numbers applied in [73,74]; FAHP with the interval type-2 triangular or trapezoidal fuzzy numbers used in [75,76]; FAHP with TIFNs developed in [77] and used in [68,[78][79][80][81], etc.…”

Section: Methodsmentioning

confidence: 99%

Application of Modern Digital Systems and Approaches to Business Process Management

et al. 2022

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In order to adapt to ever-changing customer needs and satisfy them, good Business Process Management (BPM) in Small and Medium-sized Enterprises (SMEs) is crucial. The target group of this research is production SMEs whose BPM can be monitored respecting the values of key performance indicators (KPIs). This paper shows how improving the performance of the observed business processes can improve the level of customer satisfaction. This improvement should lead to the sustainability of SMEs in the market. In this paper, evaluation of business processes performance is defined as a multi-criteria decision problem. The relative importance of considered KPIs and their imprecise values are described by linguistic expressions, which are then modeled by triangular intuitionistic fuzzy numbers (TIFNs). Calculation of KPI weights is done by using the fuzzy analytic hierarchy process (FAHP). Evaluation of BPM success is conducted respecting the obtained KPI weights and KPI values. An optimal solution for BPM success improvement, respecting customer satisfaction indicators, is calculated using the Artificial Neural Network (ANN) and Genetic Algorithm (GA) approaches. By applying the proposed model, managers of production SMEs can determine the management initiatives that will improve their business and the sustainability of their companies.

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Section: Methodsmentioning

confidence: 99%

Application of Modern Digital Systems and Approaches to Business Process Management

et al. 2022

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“…Qin et al proposed TODIM, which handles information in the form of crisp numbers [68]. Two years after TODIM, Tadić et al [69] conducted the most recent study on the selection of the most appropriate locations by a two-objective genetic algorithm (GA) and they claimed this is the most suitable method for the same routing issues. GA is a fruitful method to find the optimal solution; and Arsovski et al [70] also used a combination of the fuzzy group decision-making problem and GA.…”

Section: Methods and Metricsmentioning

confidence: 99%

A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making

Ardebili

Padoano

2020

Sustainability

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The most critical decisions usually involve several decision makers with different roles and opportunities to commit key resources. Several group decision-making (GDM) approaches can support the identification of a joint or compromise decision in less conflicting settings, where there is a group of subjects (e.g’, partners) who pursue a common overall objective. However, considering the uncertainty in future events and complexity of modern-day systems, decision processes do not always produce beneficial results or give the participants a positive perception of their role in the process. Group decision-making should then take into consideration some aspects that might insure future resilience and sustainability, particularly the achievement of the objectives in view of future risks and the transparency and participation that are needed to limit problems in the implementation phase of the decision. The literature survey presented in this study identified a research gap regarding GDM. Differently from traditional GDM, which was first discussed in the early 1980s and whose body of knowledge is pretty defined, resilient and sustainable GDM (R&S GDM) is fairly new. The main objective of this study is then identifying the main attributes for supporting sustainable and resilient group decisions. To this aim, a preliminary focused systematic review was conducted to study the existing group decision-making methods in the literature and how the concepts of sustainability and resilience have been employed. After defining the search keywords and exclusion criteria for the individuation of the articles, the first screening process was carried out and the most relevant articles were selected. The last steps of the systematic review were the classification of the articles and the full paper examination to extract the main factors of R&S GDM. Seven attributes were listed as the key factors of R&S GDM. In light of those factors, a group decision process concerning an injection moulding line in Tajikistan was investigated. The case study highlighted that over self-confidence, information flow and transparency were the main reasons for faulty decisions, thus suggesting that information system and information fluidity play an important role in R&S GDM. Finally, the most important managerial implications of R&S GDM are reported.

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“…Numerous metaheuristic methods for solving NP problems have been developed in the literature (Sadigh, Mokhtari, Iranpoor & Ghomi, 2012). Using the Genetic Algorithm (GA), which is the most used method, a near-optimal solution is given (Senvar, Turanoglu & Kahraman, 2013;Nestic, Stefanovic, Djordjevic, Arsovski & Tadic, 2015;Rezoug, Bader-El-Den & Boughaci, 2018;Tadić, Djordjević, Aleksić & Nestić, 2019;Lu, Pei, Liu, Qian, Mladenovic & Pardalos, 2020;Gojković, Djurić, Tadić, Nestić & Aleksić, 2021), as is done in this paper. The fact that the application of heuristic methods provides optimal solutions should be highlighted.…”

Section: Enhancing Production and Sale Based On Mathematical Statisti...mentioning

confidence: 99%

Enhancing production and sale based on mathematical statistics and the genetic algorithm

Nestić¹,

Aleksić²,

Gil³

et al. 2022

Ekon horizonti

Self Cite

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Enhancing production and sale has a very significant effect on the competitive advantage of any production enterprise. In practice, especially in companies with highly diversified production, products have a different impact on generating revenue. Therefore, operational management pay attention to the products of the utmost importance. The Pareto analysis is the most broadly used product classification method. It can be said that the results obtained by this analysis are still very burdened by decisionmakers' subjective attitudes. This paper proposes a model for selecting products with the biggest impact on generating revenue in an exact way. In the model's first stage, whether there is a linear relationship between volume demand and a discounted amount is analyzed applying mathematical statistics methods. In the second stage, the Genetic Algorithm (GA) method is proposed so as to obtain a near-optimal set of the most important products. The proposed model is shown to be a useful and effective assessment tool for sales and operational management in a production enterprise.

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Selection of recycling centre locations by using the interval type-2 fuzzy sets and two-objective genetic algorithm

Cited by 10 publications

References 38 publications

Application of Modern Digital Systems and Approaches to Business Process Management

Application of Modern Digital Systems and Approaches to Business Process Management

A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making

Enhancing production and sale based on mathematical statistics and the genetic algorithm

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