Solving partner selection problem in cyber-physical production networks using the HUMANT algorithm

Mladineo, Marko; Veža, Ivica; Gjeldum, Nikola

doi:10.1080/00207543.2016.1234084

Cited by 44 publications

(15 citation statements)

References 37 publications

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“…The implementation of automation equipment makes manufacturing processes more efficient as well as raising product quality. In the manufacturing environment, the virtual computational space together with physical shop floor information enables a new degree of control, surveillance, transparency and efficiency in the production process (Mladineo, Veza, and Gjeldum 2017). Moreover, G€ olzer and Fritzsche (2017) explored the impact of big data on industrial operations and its organisational implication using literature review.…”

Section: Cluster 1: Business and Operations Impactmentioning

confidence: 99%

The impact of Industry 4.0 on the reconciliation of dynamic capabilities: evidence from the European manufacturing industries

Felsberger

Qaiser

Choudhary

et al. 2020

Production Planning & Control

152

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Industry 4.0 offers massive potential for implementing sustainability, which is a growing concern for global manufacturing industries. This paper investigates the impact of the implementation of Industry 4.0 with specific emphasis on digital transformation on the sustainability dimensions of European manufacturing industries. In doing so, we propose a framework to identify the implications of Industry 4.0 on the reconciliation of the firm's existing and new dynamic capabilities, competencies, and market requirements to achieve sustainable competitive advantage. Using a multiple case research design, we study six European manufacturing companies, including aerospace manufacturing (AM) and electronic component and systems (ECS) manufacturing. The novelty of our study lies in developing a set of theoretical propositions that reveals interrelations between Industry 4.0, the dynamic capabilities of the firm and distinct dimensions of sustainability. Our findings show that the reconciliation of dynamic capabilities mediates the impact of Industry 4.0 on economic, environmental, and social aspects. The study provides insights to practitioners to strengthen their dynamic capabilities in order to achieve sustainability while implementing Industry 4.0. Moreover, the findings also facilitate investment decisions in Industry 4.0 projects.

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Section: Cluster 1: Business and Operations Impactmentioning

confidence: 99%

The impact of Industry 4.0 on the reconciliation of dynamic capabilities: evidence from the European manufacturing industries

Felsberger

Qaiser

Choudhary

et al. 2020

Production Planning & Control

152

View full text Add to dashboard Cite

show abstract

“…industry 4.0) in 2017, perform (interpreted as performance analysis) in 2013 and review (interpreted as literature review) from 2013 to date. Moreover, cyber (interpreted as cyber physical systems) in 2017 represents one of the paradigm pillars, investigated, among the others, by Mladineo, Veza, and Gjeldum (2017).…”

Section: Burst Detection Analysismentioning

confidence: 99%

How IJPR has addressed ‘lean’: a literature review using bibliometric tools

Ciano

Pozzi

Rossi

et al. 2019

International Journal of Production Research

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The aim of this study is to investigate the body of literature on lean published by the International Journal of Production Research (IJPR), which has been interested in the subject since its dawn. This review adopted a dynamic and quantitative bibliometric method composed of the keywords co-occurrence network and keywords burst detection. The analyses performed on keywords co-occurrence networks highlighted how research in IJPR has addressed research on lean over time and allowed a comparison with the consolidated research streams in literature. The burst detection completed the analysis highlighting the trends and most recent research areas characterising IJPR publications. The outcomes of this study reflected the evergreen relevance of lean; indeed, the latest research trajectories identified in IJPR stressed its link with the increasingly topical issues concerning industry 4.0, sustainability and remanufacturing. The analysis recognised in 'lean Six Sigma', and specifically in its support to the service sector, an under-considered topic, hence a scope that offers room for further study, in accordance with IJPR objectives.

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“…This modified flow is called the net score Φ' [19], and is subsequently multiplied by 100 to obtain results in the [0, 100] interval. The idea of presenting the PROMETHEE II method results as scores requires making MCA more understandable to non-expert users.…”

Section: A Simplified Approach To the Promethee Methodsmentioning

confidence: 99%

“…The net flow Φ of the PROMETHEE II method can be modified [19] somewhat to produce the output in the [0, 1] interval instead of the [-1, 1] interval:…”

Section: A Simplified Approach To the Promethee Methodsmentioning

confidence: 99%

A simplified approach to the PROMETHEE method for priority setting in management of mine action projects

Mladineo

Jajac

Rogulj

2016

CRORR

Self Cite

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Abstract. In the last 20 years, priority setting in mine actions, i.e. in humanitarian demining, has become an increasingly important topic. Given that mine action projects require management and decision-making based on a multi-criteria approach, multicriteria decision-making methods like PROMETHEE and AHP have been used worldwide for priority setting. However, from the aspect of mine action, where stakeholders in the decision-making process for priority setting are project managers, local politicians, leaders of different humanitarian organizations, or similar, applying these methods can be difficult. Therefore, a specialized web-based decision support system (Web DSS) for priority setting, developed as part of the FP7 project TIRAMISU, has been extended using a module for developing custom priority setting scenarios in line with an exceptionally easy, userfriendly approach. The idea behind this research is to simplify the multi-criteria analysis based on the PROMETHEE method. Therefore, a simplified PROMETHEE method based on statistical analysis for automated suggestions of parameters such as preference function thresholds, interactive selection of criteria weights, and easy input of criteria evaluations is presented in this paper. The result is web-based DSS that can be applied worldwide for priority setting in mine action. Additionally, the management of mine action projects is supported using modules for providing spatial data based on the geographic information system (GIS). In this paper, the benefits and limitations of a simplified PROMETHEE method are presented using a case study involving mine action projects, and subsequently, certain proposals are given for the further research.

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Solving partner selection problem in cyber-physical production networks using the HUMANT algorithm

Cited by 44 publications

References 37 publications

The impact of Industry 4.0 on the reconciliation of dynamic capabilities: evidence from the European manufacturing industries

The impact of Industry 4.0 on the reconciliation of dynamic capabilities: evidence from the European manufacturing industries

How IJPR has addressed ‘lean’: a literature review using bibliometric tools

A simplified approach to the PROMETHEE method for priority setting in management of mine action projects

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