Creating a road map for industry 4.0 by using an integrated fuzzy multicriteria decision-making methodology

Kaya, İ̇hsan; Erdoğan, Melike; Karaşan, Ali; Özkan, Betül

doi:10.1007/s00500-020-05041-0

Cited by 30 publications

(18 citation statements)

References 88 publications

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“…The authors explain that the proposed framework needed to be validated in a real environment, in order to test its performance. Kaya et al (2020) also used a literature review to identify the criteria used to choose technology and developed a roadmap to use in assessing digital technology. Mahdiraji et al (2020) also used a literature review method in their study.…”

Section: Methods Used In the Article (Theoretical Or Empirical Study)mentioning

confidence: 99%

“…Ten of the fourteen articles selected for the literature review were about the decision-making process in relation to selecting technology (Daneshjo et al, 2017;Sevinç et al, 2018;Hamzeh et al 2018;Müller et al, 2018;Keskin et al, 2018;Erbay & Yıldırım, 2018), while nine dealt with implementation (Thomassen et al, 2014;Sevinç et al, 2018;Hamzeh et al, 2018;Erdogan et al, 2018;Müller et al, 2018;Türkeș et al, 2019;Keskin et al, 2018;Erbay & Yıldırım, 2018;Leone & Barni, 2020;Beyaz & Yıldırım, 2020;Kaya et al, 2020;Mahdiraji et al, 2020;Olfati et al, 2020).…”

Section: Selecting and Implementing Projectsmentioning

confidence: 99%

“…Leone & Barni (2020) used the AHP method together with design thinking to define a roadmap for implementing digital technology. Kaya et al (2020) used the Analytic Hierarchy (AHP), TOPSIS and Interval-valued intuitionistic fuzzy sets (IVIFSs) methods to achieve the same objective as Leone & Barni (2020) 2020) combined the Linear Programming and triangular fuzzy numbers methods to identify and select the most appropriate digital technology. Beyaz & Yıldırım (2020) used the TOPSIS method to identify the most appropriate digital technology for a supplier in the automotive industry.…”

Section: Toolsmentioning

confidence: 99%

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Decision making in the process of choosing and deploying industry 4.0 technologies

Silva

et al. 2022

Gest. Prod.

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Advances in the development and use of Industry 4.0 technology has resulted in it being applied in various industries. Industry 4.0 enables companies to develop their operations and improve their organizational efficiency. The process of implementing Industry 4.0 is very important, as it requires significant investment, skilled labor and state-of-the-art technology. The aim of this article is to identify the main criteria behind decision-making in choosing and implementing technology, that is part of the Industry 4.0 concept. The research method chosen for the study was a systematic literature review. The results show that the use of broad requirements tends to be predominant, using large groups of criteria that are intended to aggregate several different requirements. This review is relevant because few recent studies have been found, and therefore this article helps to identify what has been published so far on the subject of decision-making around choosing and implementing Industry 4.0 technology in organizations and what criteria and tools they base their decisions on. To date, the research has not encountered any similar work that aims to group all the information on decision-making around choosing and implementing Industry 4.0 technology.

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Section: Methods Used In the Article (Theoretical Or Empirical Study)mentioning

confidence: 99%

Section: Selecting and Implementing Projectsmentioning

confidence: 99%

Section: Toolsmentioning

confidence: 99%

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Decision making in the process of choosing and deploying industry 4.0 technologies

Silva

et al. 2022

Gest. Prod.

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“…In addition, it is important to note that, although several studies on FJSS have been published, the integration of a decision tool based on MCDA is not treated to solve the flexible job shop scheduling problem. However, it is clear that in a dynamic and complex environment such as the modern smart factories, the use of multi-criteria decision-making methods could represent an opportunity from a practical and problem-solving point of view, as stated by several authors [40][41][42]. In this way, more perspectives can be considered.…”

Section: Literature Review On Fjss and Smart Manufacturingmentioning

confidence: 99%

A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

et al. 2021

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Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine selection) were implemented. The FAHP and TOPSIS methods were then integrated to underpin the multi-criteria operation selection process. In particular, FAHP was used to calculate the criteria weights under uncertainty, and TOPSIS was later applied to rank the eligible operations. As the fourth step of dispatching the algorithm, the operation with the highest priority was scheduled together with its initial and final time. A case study from the smart apparel industry was employed to validate the effectiveness of the proposed approach. The results evidenced that our approach outperformed the current company’s scheduling method by a median lateness of 3.86 days while prioritizing high-throughput products for earlier delivery.

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“…Evaluating the methodology of decision-making foreign scientists [9] acts as an important factor in creating a roadmap of IDPs problems.…”

Section: Introductionmentioning

confidence: 99%

Аналіз Лінійної Моделі Як Методу Дорожньої Карти Покращення Соціального Забезпечення Внутрішньо Переміщених Осіб

Поляріна¹,

Akimova²

2022

ФКДПТП

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Abstract. In the process of counteracting the escalation of the military conflict with the Russian Federation and the escalation of the armed conflict, internal displacement from the borders of Donetsk and Luhansk oblasts was caused. The relevance of this study is guided by the origin and sustainability of the movement within the borders of Ukraine in 2021. In search of a landmark and sustainable adaptation, since 2014 our country has been able to successfully overcome barriers and obstacles. depressed. This encourages action not only to comply with the Minsk Protocol in the format of the "Quartet of Normandy", but also to address the needs of citizens in displacement, to save entire families with young children, disabled people, the disabled, retirees. The aim of the article is to analyze the map of problems to further improve the mechanism of adaptation and integration of internally displaced persons, as minimizing the occurrence of manifestations of maladaptation, is the basis for targeted intervention of host communities. Thorough acquaintance with the methodological principles of problem map analysis is the optimal component of the study. The article examines some specific phenomena in the economic, social, political spheres of the state to analyze the map of problems of internally displaced persons for the needs of appeals to host communities. The article examines the methodological provisions of the cause-and-effect relationship of difficulties at the stages of economic, social, political integration, which should become a typology of rapid response from the public space. Communication strategy and information support of social services are often missing. Lack of dialogue and communication skills among social workers and other stakeholders leads to the formation of a culture of dialogue for interaction with internally displaced persons. The article considers a map of problems in terms of the largest, general areas of optimization of host communities, a map of problems as a tool for comprehensive diagnosis, helps to build a chain of relationships, reflects situational analysis, and clearly shows the pain points of citizens in the local, regional, and national levels. Keywords: internally displaced persons, analysis, problem map, integration, communities, Donbass, industrial production index, private sector, mathematical model. JEL Classification: P 30 Fig.: 1, tabl.: 2, bibl.: 29

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Creating a road map for industry 4.0 by using an integrated fuzzy multicriteria decision-making methodology

Cited by 30 publications

References 88 publications

Decision making in the process of choosing and deploying industry 4.0 technologies

Decision making in the process of choosing and deploying industry 4.0 technologies

A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

Аналіз Лінійної Моделі Як Методу Дорожньої Карти Покращення Соціального Забезпечення Внутрішньо Переміщених Осіб

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