Risk Management and Process Optimization in Industry 4.0: Integrating Sensors with Critical Path and FMEA

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F25%3A50022652" target="_blank" >RIV/62690094:18450/25:50022652 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-87908-1_7" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-87908-1_7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-87908-1_7" target="_blank" >10.1007/978-3-031-87908-1_7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Risk Management and Process Optimization in Industry 4.0: Integrating Sensors with Critical Path and FMEA

Popis výsledku v původním jazyce

In the era of Industry 4.0, there is a strong focus on automation, advanced smart technologies, and addressing emerging issues related to sustainability and efficient process management. This paper presents a new approach that integrates traditional risk analysis methods, such as Failure Mode and Effects Analysis (FMEA), with the Critical Path Method (CPM) and Business Process Model and Notation (BPMN). The contribution of this method is presented using a selected sample manufacturing process, namely pallet manufacturing. The goal is to show how sensors that monitor machine operation improve process optimisation and manufacturing system sustainability and function. Utilizing the hybrid FMEA-CPM approach and modelling the production line in BPMN allowed for a comprehensive examination of each activity. This analysis was compared with the outcomes obtained both with and without sensor integration. Sensor data were used for quality control at critical stages of the manufacturing process, reducing the risk of errors in the final product. The results show an over 80% reduction in risk (measured by RPN) and more than 80% improvement in process efficiency, significantly improving decision-making and risk management. This approach offers valuable insights into how incorporating modern technologies in Industry 4.0 can enhance the administration and control of complex production systems, thus improving efficiency and sustainability. © The Author(s) 2025.

Název v anglickém jazyce

Risk Management and Process Optimization in Industry 4.0: Integrating Sensors with Critical Path and FMEA

Popis výsledku anglicky

In the era of Industry 4.0, there is a strong focus on automation, advanced smart technologies, and addressing emerging issues related to sustainability and efficient process management. This paper presents a new approach that integrates traditional risk analysis methods, such as Failure Mode and Effects Analysis (FMEA), with the Critical Path Method (CPM) and Business Process Model and Notation (BPMN). The contribution of this method is presented using a selected sample manufacturing process, namely pallet manufacturing. The goal is to show how sensors that monitor machine operation improve process optimisation and manufacturing system sustainability and function. Utilizing the hybrid FMEA-CPM approach and modelling the production line in BPMN allowed for a comprehensive examination of each activity. This analysis was compared with the outcomes obtained both with and without sensor integration. Sensor data were used for quality control at critical stages of the manufacturing process, reducing the risk of errors in the final product. The results show an over 80% reduction in risk (measured by RPN) and more than 80% improvement in process efficiency, significantly improving decision-making and risk management. This approach offers valuable insights into how incorporating modern technologies in Industry 4.0 can enhance the administration and control of complex production systems, thus improving efficiency and sustainability. © The Author(s) 2025.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EH23_021%2F0008402" target="_blank" >EH23_021/0008402: Mezisektorová a mezioborová spolupráce ve výzkumu a vývoji komunikačních, informačních a detekčních technologií pro řídicí a zabezpečovací systémy</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Computer Science

ISBN

978-3-031-87907-4

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

18

Strana od-do

98-115

Název nakladatele

Springer Science and Business Media Deutschland GmbH

Místo vydání

Cham

Místo konání akce

Aveiro

Datum konání akce

4. 11. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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