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How information sharing still can help in the semiconductor Supply Chain
Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013).
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The semiconductor industry is facing a serious capacity shortage, where deliveries of semiconductor products are suffering heavily from this crisis. The pandemic has added additional challenges to an already difficult situation. The purpose of thesis is to investigate how information sharing in the semiconductor Supply Chain can help the challenges in the semiconductor industry.

This thesis about information sharing in the semiconductor supply chain is using a qualitative method, and an analysis is done by using a literature review and a literature survey. The literature review is about Supply Chain management, supply chain network, actors, flows, supply chain integration, Supply Chain models, information sharing, and the benefits of Supply Chain information sharing. The literature survey is an in-depth study to understand the semiconductor Supply Chain situation and the challenges. The literature review is used to analyze the challenges, and then to find out how information sharing would help semiconductor Supply Chains.

Three Supply Chain challenges could be found, and those are: “The global logistics network of suppliers”, “A wide and increasing demand”, and “Capacity and lead time”. Information sharing can help to decrease all the 3 Supply Chain challenges in the semiconductor industry and improve the situation. This thesis show that information sharing can help but may not be helping fully because of the difficult capacity situation. Supply Chains are of course different to each other, and information sharing could be more effective in some Supply Chains than others.

Place, publisher, year, edition, pages
2023. , p. 59
Keywords [en]
Supply Chain Management
National Category
Information Systems
Identifiers
URN: urn:nbn:se:kau:diva-93131Local ID: 72OAI: oai:DiVA.org:kau-93131DiVA, id: diva2:1731721
Subject / course
Information Systems
Educational program
Master Programme in Information Systems (120 ECTS credits)
Supervisors
Examiners
Available from: 2023-02-27 Created: 2023-01-27 Last updated: 2023-02-27Bibliographically approved

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