Assessment of Counter-Measures for Disturbance Management in Manufacturing Environments

Stich, Volker; Schröter, Moritz; Jordan, Felix; Wenger, Lucas; Blum, Matthias

doi:10.1007/978-3-319-66923-6_53

Cited by 3 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The elimination of disturbances can be divided into preventive and reactive measures (Stich et al 2017). A distinction is made between combating the causes and containing the effects (Schröder et al 2016).…”

Section: Disruption Managementmentioning

confidence: 99%

How can industrial management contribute to a brighter future?

2023

View full text Add to dashboard Cite

Industrial management is facing many challenges, one need is to adopt sustainable practices. As climate change is becoming an increasingly urgent problem, industrial management must find ways to reduce waste and pollution, conserve natural resources, and protect the environment and employees. Industrial management also needs to embrace new technologies like virtual reality, artificial intelligence, and the Internet of Things. These challenges are becoming more prevalent, managers and decision makers must find ways to adopt these new technologies in order to remain competitive. Furthermore, with the workforce becoming more diverse and globalized organisations have to attract and retain top talent. For industrial management it is important to create an inclusive work environment. Current research approaches from the members of the Scientific Society for Work and Business Organisation (WGAB) are presented in this book.

show abstract

Section: Disruption Managementmentioning

confidence: 99%

How can industrial management contribute to a brighter future?

2023

View full text Add to dashboard Cite

show abstract

Section: Disruption Managementmentioning

confidence: 99%

Increasing Resilience in Factories: The Example of Disturbance Management – A Research Approach

Gronau,

Panzer,

Gonnermann-Müller

2023

How Can Industrial Management Contribute to a Brighter Future?

View full text Add to dashboard Cite

Disruptions in in-plant production systems, such as variant-rich series production, can lead to serious production downtimes. The longer the production stoppage lasts, the greater the damage to companies and supply chains. The capabilities to ensure emergency operation until full performance is restored after disruptions as well as the fast restart of production systems represent a crucial competitive factor for companies and also increase production agility. Therefore, it is of central importance to reduce the time between the occurrence of a disruption and the return to the initial level in order to minimize downtime costs. In the context of this paper the state of research on disturbance management and assistance systems for disturbance management ist stated and a research approach for investigating the potentials of assistance systems will be presented.

show abstract

“…Other researchers focus on the evaluation of countermeasures. The focus here lies on mathematical models [13] or very specific areas in production, such as the assembly [14]. Moreover, there are different approaches in the field of simulation (discrete event as well as agent based) in the context of production [15][16][17][18][19].…”

Section: Literature In the Field Of Disruption Management Reaction St...mentioning

confidence: 99%

Development of a Methodology for the Analysis and Evaluation of Alternative Actions in Disruption Management in Production

Luetkehoff¹,

Stich²,

Schroeter³

et al. 2019

Collaborative Networks and Digital Transformation

Self Cite

View full text Add to dashboard Cite

Due to Digital Transformation, also called Industry 4.0 or the Industrial Internet of Things, the barrier for implementing data collecting technology on the shop floor has decreased dramatically in the past yearsleading to an increasingly growing amount of data from a multitude of IT systems in production companies worldwide. Despite that, the production controller still relies heavily on intrinsic knowledge and intuition for the management of disruptions in production. Thanks to advances in the fields of production control and artificial intelligence, potentials for the collected data for disruption management arise. However, in order to transform data into usable information and allow drawing conclusions for disruption management in production, the relevant data-objects, disturbances and alternative actions must be known. Thus, the decision-making can be supported, reducing the decision latency and increasing benefit of alternative actions. Therefore, the goal of this paper is to discuss the prerequisites necessary to perform a data based disruption management and the methodology itself, serving as an approach to allow companies to build a data basis, classify disruptions and alternative actions in order to improve decision making in the future.

show abstract

Assessment of Counter-Measures for Disturbance Management in Manufacturing Environments

Cited by 3 publications

References 7 publications

How can industrial management contribute to a brighter future?

How can industrial management contribute to a brighter future?

Increasing Resilience in Factories: The Example of Disturbance Management – A Research Approach

Development of a Methodology for the Analysis and Evaluation of Alternative Actions in Disruption Management in Production

Contact Info

Product

Resources

About