Editorial
Manufacturing modelling, management and control: IFAC TC 5.2 past, present and future

https://doi.org/10.1016/j.arcontrol.2020.04.003Get rights and content

Abstract

In this position paper, we summarize history, current activities and future topics of IFAC Technical Committee (TC) 5.2 “Manufacturing Modelling for Management and Control”. As a special focus, we discuss the results of the 9th IFAC Conference MIM 2019 that was recently organized by IFAC TC 5.2 in Berlin, Germany and attended by 740 participants. We analyse the current activities of the working groups within TC 5.2 and project some future research directions. Finally, we present an overview of papers from TC 5.2 in this special issue.

Section snippets

History of IFAC MIM (Manufacturing modelling, management and control)

Control belongs to the fundamental disciplines in manufacturing modelling and management. Control applications to manufacturing systems and supply chains have numerous directions such as planning, scheduling, inventory control, supply chain resilience and risk management, to name a few (Nof 2007, Dolgui and Proth 2010, Ivanov et al. 2018, Dolgui et al 2019). Modern production and logistics systems, supply chains, and Industry 4.0 networks are challenged by increased uncertainty and risks,

Scope of IFAC TC5.2

The activities of the IFAC TC 5.2 “Manufacturing Modelling for Management and Control” are devoted to promote the development of management decision-support systems in digital, resilient and sustainable manufacturing and supply networks in the era of Industry 4.0 based on combination of Control theory, Industrial Engineering, and Production Management (Fig. 2).

Models for manufacturing management and control range from optimization and knowledge-based models to simulation models (discrete-event

IFAC conference MIM 2019

9th IFAC MIM 2019 took place in Berlin, Germany on August 27–30, 2019. The conference covered all topics related to design, modelling and management of modern manufacturing systems and supply networks. It was co-sponsored by IFIP, IFORS, IISE, and INFORMS.

The MIM 2019 mission was to connect Control, Industrial Engineering, OR and Computer Science for better management decision-support systems in digital, resilient and sustainable manufacturing and supply chains in the era of Industry 4.0, to

Major research challenges and future perspectives

The major research challenges in manufacturing modelling, management and control and potential future topics are analysed within seven working groups (WG) of IFAC TC 5.2.

WG 1 "Supply Network Engineering"; Chairs: Prof. Dr. Alexandre Dolgui (France), Prof. Dr. Dmitry Ivanov (Germany)

The working group explores and generates novel solutions for supply chain design and management. Indeed, Supply chains are emblematic examples of the renewal of production systems in the last decades. Supply Chains

Papers included into this special issue

The articles included into this issue were selected at IFAC MIM 2019 conference and prepared by members of IFAC TC 5.2. They are focused on the most challenging topics at the moment and present either surveys of literature or a position/vision papers.

Conclusion

In this position paper, we summarized history, current activities and future topics of IFAC Technical Committee (TC) 5.2 “Manufacturing Modelling, Management and Control”. IFAC TC 5.2 was established in 1993 and has been successfully developed over almost three decades. Currently, IFAC TC 5.2 counts 91 members from 22 countries, 7 working groups are active. These developments have been progressed by outstanding services of the TC 5.2 chairpersons A. Villa (1993–1999), S. Y. Nof (1999–2002), L.

Declaration of Competing Interest

No conflict of interests has to be declared.

Acknowledgement

We cordially thank Prof. Dr. Francoise Lamnabhi-Lagarrigue, Editor-in-Chief of Annual Reviews in Control for her unconditional support and guidance of this special issue for the 9th IFAC conference MIM 2019 and IFAC TC 5.2.

References (18)

There are more references available in the full text version of this article.

Cited by (4)

  • Expected trends in production networks for mass personalization in the cloud technology era

    2021, Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology

  • Intelligent methods and systems for decision-making support: Toward digital supply chain twins

    2021, International Journal of Information Management

  • Industrial digital ecosystems: Predictive models and architecture development issues

    2021, Annual Reviews in Control
    Citation Excerpt :

    SC are complex organisms, and effictive organization of their interaction to ensure transparency, flexibility and scalability of their architecture is important. A variety of effective supply chain management (SCM) models and methods are presented in Dolgui, Ivanov, and Rozhkov (2018, 2020), Ivanov (2020), Ivanov and Dolgui (2020), (Dolgui & Ivanov, 2020; Ivanov, Tang, Dolgui, Battini, & Das, 2020); Panetto, Iung, Ivanov, Weichhart, and Wang (2019), Sokolov et al. (2020). The paper (Ivanov, 2020) proposed a SC ecosystem framework.

  • Mapping a Set of Tools to Ensure Cloud and Distributed Computing, Virtualization Tools and Data Storage Systems in the Work of the Transport and Logistics Center

    2023, WSEAS Transactions on Computer Research
View full text
© 2020 Elsevier Ltd. All rights reserved.