Building manufacturing resilience for sustainability - a dynamic capabilities perspective
Doctoral thesis, 2024
Six studies were carried out over the last five years using a multiple-case study design and a mixed-methods approach. Data was triangulated in the form of systematic literature reviews, interviews, workshops and surveys. The thesis derived three main outcomes: (i) the relationships (synergies, conflicts and underlying concepts) between resilience and sustainability in manufacturing (conceptualisation); (ii) key enabling factors for building manufacturing resilience [risk management, dynamic capabilities that need to be developed in a stage-wise temporal manner for resilience (anticipation, coping and adaptation phases), and how digitalisation in Industry 4.0 can support resilient and sustainable manufacturing]; (iii) an IDEF0 resilience model to structure and visualise the interconnectedness of and interdependencies between the enabling resilience factors. Also, a quantitatively validated measurement instrument – a resilience compass – to assess how manufacturing companies should deal with disruptions (operationalisation of resilience).
The theoretical contribution of this research is that it advances knowledge at the convergence of resilience engineering, dynamic capabilities and sustainability fields, especially in the smart manufacturing context. Practitioners can leverage the IDEF0 resilience model and the resilience compass to gain a comprehensive and systemic understanding of the various essential factors and capabilities across the temporal stages of resilience. This facilitates the formulation of tailored strategies to effectively address risks and disruptions and, ultimately, bolsters the resilience of both manufacturing operations and their value chains.
resilience
manufacturing
dynamic capabilities
Industry 4.0.
sustainability
value chains
Author
Arpita Chari
Chalmers, Industrial and Materials Science, Production Systems
Analysing the antecedents to digital platform implementation for resilient and sustainable manufacturing supply chains - An IDEF0 modelling approach
Journal of Cleaner Production,;Vol. 429(2023)
Journal article
Dynamic capabilities for circular manufacturing supply chains-Exploring the role of Industry 4.0 and resilience
Business Strategy and the Environment,;Vol. 31(2022)p. 2500-2517
Journal article
A systematic review of empirical studies on green manufacturing: eight propositions and a research framework for digitalized sustainable manufacturing
Production and Manufacturing Research,;Vol. 10(2022)p. 727-759
Journal article
The intersection of industrial resilience and sustainability in manufacturing supply chains
Proceedings of the 28th EurOMA Conference: Managing the “New Normal”: The Future of Operations and Supply Chain Management in Unprecedented Times. Sussex.,;(2021)
Paper in proceeding
Swedish manufacturing practices towards a sustainability transition in industry 4.0: A resilience perspective
Proceedings of the ASME 2021 16th International Manufacturing Science and Engineering Conference, MSEC 2021,;Vol. 1(2021)
Paper in proceeding
Chari, A., Despeisse, M., Bokrantz, J., Johansson, B., Morioka, S., Gohr, C., and Stahre, J. Dynamic capabilities for manufacturing resilience – a compass and industrial applications.
Twinning for Industrial Sustainability (TRUST)
European Commission (EC) (EC/H2020/810764), 2018-10-01 -- 2022-06-30.
Sustainability Evaluation of P2030 Projects
VINNOVA (2019-05575), 2019-12-01 -- 2020-07-31.
Digitala Stambanan Produktion
VINNOVA (2021-02421), 2021-07-01 -- 2024-07-01.
RE4DY: European “data as a pRoduct” Value Ecosystems for resilient factory 4 .0 Product and proDuction continuitY and sustainability
European Commission (EC) (101058384), 2022-06-01 -- 2025-06-30.
Subject Categories
Production Engineering, Human Work Science and Ergonomics
Economics and Business
Driving Forces
Sustainable development
Areas of Advance
Production
ISBN
978-91-8103-011-2
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5469
Publisher
Chalmers
Virtual Development Laboratory
Opponent: Dr. Jagjit Singh Srai, Institute for Manufacturing, University of Cambridge