System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
How to predict disruptions in the inbound supply chain in a volatile environment
Group IT, Ericsson AB, Kista, Sweden.
Jönköping University, School of Engineering, JTH, Supply Chain and Operations Management.ORCID iD: 0000-0001-7867-3895
2022 (English)In: SPS2022: Proceedings of the 10th Swedish production symposium / [ed] A. H. C. Ng, A. Syberfelt, D. Högberg & M. Holm, Amsterdam: IOS Press, 2022, p. 638-649Conference paper, Published paper (Refereed)
Sustainable development
Sustainable Development
Abstract [en]

The most common solutions to protect the supply chains for disruptions are increasing inventory, adding capacity, and using multiple suppliers. While these approaches in general prove to solve the disruption problem, they come with a negative effect on cost per product and cost of capital. In a highly volatile demand environment with fast pace changing technology, increasing inventory can constitute a big risk for obsolesce, hence additional measures are needed to create a competitive business advantage with such a supply chain. Furthermore, when competing about the same sources, as in the case of semiconductors, Operations Executives need to be able to respond fast when supply issues occur, in order to minimize the potential impact from a disruption. The ability to react and response to a disruption is enhanced with Supply chain risk tools utilizing the most recent technologies, such as Control Tower solutions enabling End-to End monitoring and transparency. However, even with the help of such technology, the decision maker will still be reactive and can merely respond to occurrences. To reach the next level of responsiveness, additional layer of intelligence is needed in the supply chain solution. From the available literature about Supply Chain Resilience, and similar advanced supply chain solutions, we can conclude that the main focus of research has so far been on the demand side, i.e., how to enhance forecast management. There are thus few practical and academic contributions on how to manage the supply side or more precise on how to manage the Inbound Supply Chain in a volatile business environment. The purpose of this paper is to investigate what factors that are crucial to regard when creating a proactive and responsive Inbound Supply Chain. 

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2022. p. 638-649
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 21
Keywords [en]
Inbound Supply Chains, Responsiveness, AI, Machine learning, Algorithms
National Category
Computer Sciences Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-56335DOI: 10.3233/ATDE220182Scopus ID: 2-s2.0-85132812786ISBN: 978-1-64368-268-6 (print)ISBN: 978-1-64368-269-3 (electronic)OAI: oai:DiVA.org:hj-56335DiVA, id: diva2:1655410
Conference
10th Swedish Production Symposium (SPS2022), School of Engineering Science, University of Skövde, Sweden, April 26–29 2022
Available from: 2022-05-02 Created: 2022-05-02 Last updated: 2022-07-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Bäckstrand, Jenny

Search in DiVA

By author/editor
Bäckstrand, Jenny
By organisation
JTH, Supply Chain and Operations Management
Computer SciencesProduction Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 164 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf