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Dynamic capabilities for circular manufacturing supply chains—Exploring the role of Industry 4.0 and resilience

Chari, Arpita, Niedenzu, Denis, Despeisse, Mélanie, Machado, Carla Gonçalves, Azevedo, João Domingues, Boavida‐Dias, Rui, Johansson, Björn·2022·Business Strategy and the Environment
DOI 10.1002/bse.3040
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Abstract

An organisation's sustainability performance is influenced by its capabilities (skills, resources and competences) which in turn affects the performance of its entire supply chain. However, recent research has not sufficiently explored the convergence of dynamic capabilities, circular economy, resilience and Industry 4.0 concepts for manufacturing supply chains. Therefore, this study aims to identify how dynamic capabilities theory can enable circular and resilient supply chains. A qualitative research process was deployed in three stages: literature review, European project and nine expert interviews. Key investigative variables were used to identify capabilities used in manufacturing, and five research propositions were developed to address the gaps found in literature. The empirical data helped reveal challenges to circular economy implementation and validate the literature findings. The main contributions include a dynamic capabilities model, a causal relationship model and five research propositions for circular economy implementation.

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Figure 1 Overview of the experimental setup, consisting of fabric treatment (Part 1), outdoor exposure of the textile fabrics (Part 2), and application of abrasion and washing (Part 3). All three experiments were subjected to comprehensive characterization including scanning electron microscopy (SEM), combustion ion chromatography (CIC), high performance liquid chromatographytandem mass spectrometry or high-resolution mass spectrometry (HPLC-MS/MS or HPLC-HRMS), and the total oxidizable precursor (TOP) assay. Additional changes of material properties were examined by measuring the water repellency (method: spray test) and the color change (method: gray scale).
Figure 1 Overview of the experimental setup, consisting of fabric treatment (Part 1), outdoor exposure of the textile fabrics (Part 2), and application of abrasion and washing (Part 3). All three experiments were subjected to comprehensive characterization including scanning electron microscopy (SEM), combustion ion chromatography (CIC), high performance liquid chromatographytandem mass spectrometry or high-resolution mass spectrometry (HPLC-MS/MS or HPLC-HRMS), and the total oxidizable precursor (TOP) assay. Additional changes of material properties were examined by measuring the water repellency (method: spray test) and the color change (method: gray scale).CC-BY-NC-ND · From the PDF
Figure 2 SEM pictures of a PA rip-stop fabrics treated with a C 6 F13 -SFP fi nish. Unexposed controls are shown in comparison to ' sealed controls ' and exposed fabrics with di ff erent exposure times and after applying abrasion and washing. Warps (blue frames) and weft fi bers (yellow frames) are also displayed in higher magni fi cation. Numbers in the upper right corner of the SEM pictures refer to the color change assessed with the Gray scale in comparison to the unexposed fabrics (scale 1 -5; 5 = no visual change 1 = a large visual change).
Figure 2 SEM pictures of a PA rip-stop fabrics treated with a C 6 F13 -SFP fi nish. Unexposed controls are shown in comparison to ' sealed controls ' and exposed fabrics with di ff erent exposure times and after applying abrasion and washing. Warps (blue frames) and weft fi bers (yellow frames) are also displayed in higher magni fi cation. Numbers in the upper right corner of the SEM pictures refer to the color change assessed with the Gray scale in comparison to the unexposed fabrics (scale 1 -5; 5 = no visual change 1 = a large visual change).CC-BY-NC-ND · From the PDF
Figure 3 Total fl uorine content of fabrics before and after weathering and after the additional abrasion test and washing. PA fabrics measured with CIC contained di ff erent fl uorinated textile fi nishes based on ' short-chain ' SFPs with (a1) C4F8 and (a2) C6F13 side chains as well as (a3) ' long-chain ' SFPs based on C8F17 side chains. (b) Shows untreated fabrics that were spiked with PFAAs and underwent weathering as well.
Figure 3 Total fl uorine content of fabrics before and after weathering and after the additional abrasion test and washing. PA fabrics measured with CIC contained di ff erent fl uorinated textile fi nishes based on ' short-chain ' SFPs with (a1) C4F8 and (a2) C6F13 side chains as well as (a3) ' long-chain ' SFPs based on C8F17 side chains. (b) Shows untreated fabrics that were spiked with PFAAs and underwent weathering as well.CC-BY-NC-ND · From the PDF
Figure 4 Summary of the targeted analysis of PFAAs after weathering of textiles with (a) short-chain C 4F9 -and (b) C6F13 -SFPs as well as (c) long-chain C8 F17 -SFPs.
Figure 4 Summary of the targeted analysis of PFAAs after weathering of textiles with (a) short-chain C 4F9 -and (b) C6F13 -SFPs as well as (c) long-chain C8 F17 -SFPs.CC-BY-NC-ND · From the PDF
Figure 5 In (a) the sum of PFAAs detected after roof-top weathering were compared to the sum of PFAAs detected after extraction of unexposed fabric and application of a TOP assay (on the basis of the fl uorine content of the PFAAs). The sum of PFAAs were also compared to the total fl uorine losses detected with CIC (log scale). (b) Compares targeted FTOHs in textile extracts of unexposed fabrics with the sum of PFAA precursors.
Figure 5 In (a) the sum of PFAAs detected after roof-top weathering were compared to the sum of PFAAs detected after extraction of unexposed fabric and application of a TOP assay (on the basis of the fl uorine content of the PFAAs). The sum of PFAAs were also compared to the total fl uorine losses detected with CIC (log scale). (b) Compares targeted FTOHs in textile extracts of unexposed fabrics with the sum of PFAA precursors.CC-BY-NC-ND · From the PDF
Figure 6 Schematic representation of loss mechanisms that that are likely to occur to (a) textiles with SFP fi nishes during weathering: (a1) Loss of larger textile fragments such as fi bers and particles and (a2) the oxidative conversion of PFAS impurities. (b) Displays further a simpli fi ed summary of emission pathways that lead to emission and accumulation of PFAAs in the environment.
Figure 6 Schematic representation of loss mechanisms that that are likely to occur to (a) textiles with SFP fi nishes during weathering: (a1) Loss of larger textile fragments such as fi bers and particles and (a2) the oxidative conversion of PFAS impurities. (b) Displays further a simpli fi ed summary of emission pathways that lead to emission and accumulation of PFAAs in the environment.CC-BY-NC-ND · From the PDF

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Metadata

Authors
Chari, A., Niedenzu, D., Despeisse, M., Machado, C. G., Azevedo, J. D., Boavida‐Dias, R., & Johansson, B.
Affiliations
  • Department of Industrial and Materials Science Chalmers University of Technology Gothenburg Sweden
  • Institute for Manufacturing University of Cambridge Cambridge UK
  • Jönköping International Business School, Business Administration Jönköping University Jönköping Sweden
  • FEUGA, Department of Innovation &amp; Technology Transfer Campus Universitário Plaza Miralles Vigo Spain
  • Instituto de Soldadura e Qualidade (ISQ), Low Carbon and Resource Efficiency, R&amp;Di Grijó Portugal
ORCID
Venue
Business Strategy and the Environment
Publisher
Wiley
Published
2022-03-22
Volume
31
Issue
5
Pages
2500-2517
ISSN
  • 0964-4733
  • 1099-0836
DOI
10.1002/bse.3040
Cited by
259
References
7
Language
en
Licence
creativecommons.org/licenses/by-nc-nd/4.0/ (vor)

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CoChat. (2026). Citation check: Dynamic capabilities for circular manufacturing supply chains—Exploring the role of Industry 4.0 and resilience. https://app.cochat.ai/papers/10.1002/bse.3040
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Chari, A., Niedenzu, D., Despeisse, M., Machado, C. G., Azevedo, J. D., Boavida‐Dias, R., & Johansson, B. (2022). Dynamic capabilities for circular manufacturing supply chains—Exploring the role of Industry 4.0 and resilience. Business Strategy and the Environment. https://doi.org/10.1002/bse.3040