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Att hantera risker för en värld i förändring: En analys av nutida och framväxande riskhanteringsmetoder inom uppströms försörjningskedjor
KTH, School of Industrial Engineering and Management (ITM), Production engineering.
KTH, School of Industrial Engineering and Management (ITM), Production engineering.
2024 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Managing risks for a changing world : An analysis of contemporary and emerging risk management practices within upstream supply chains (English)
Abstract [sv]

Till följd av pågående teknologiska framsteg för att minska kapitalbindning och risker inom tillverkande företag med globala försörjningskedjor, har Supply Chain Risk Management (SCRM) fått ökad relevans. Syftet med denna uppsats är att utvärdera hur störningar av globala försörjningskedjor hanterats av tillverkande bolag i Sverige och vilka åtgärder som kan vidtas för att minska påverkan på verksamheten vid framtida störningar. En litteraturstudie och simuleringsmodell användes för att analysera risker inom globala försörjningskedjor. Intervjuer genomfördes med experter från näringslivet och akademin för att komplettera analysen. Uppsatsen drar slutsatserna att traditionella SCRM-metoder fortfarande är mycket effektiva, och att bristande efterlevnad av etablerade metoder är en större orsak till problem än otillräcklig teknik. Genom bättre efterlevnad av praxis och användning av ny teknologi som Internet of Things och generativ AI kan riskexponeringen minskas utan att öka kapitalbindningen.

Abstract [en]

Supply Chain Risk Management (SCRM) has gained increased relevance due to ongoing technological advancements aimed at reducing capital employed and risks within manufacturing companies with global supply chains. The purpose of this thesis is to evaluate how disturbances in global supply chains have been managed by manufacturing companies in Sweden and to identify measures that can be taken to mitigate the impact on operations in future disruptions. A literature study and simulation model were used to analyze risks in global supply chains. Interviews were conducted with experts from the business sector and academia to supplement the analysis. The thesis concludes that traditional SCRM methods remain highly effective, and that poor adherence to established best practices is a bigger cause of issues than inadequate technology. By improving adherence to best practices and using new technologies such as the Internet of Things and generative AI, risk exposure can be reduced without increasing capital employed.

Place, publisher, year, edition, pages
2024. , p. 82
Series
TRITA-ITM-EX ; 2024:379
Keywords [en]
Supply Chain Risk Management (SCRM), Manufacturing Companies, Internet of Things, Artificiell Intelligence, Global Supply Chains, EOQ-model, Simulation
Keywords [sv]
Supply Chain Risk Management (SCRM), Tillverkande Bolag, Internet of Things, Artificiell Intelligens, Maskininlärning, Globala Försörjningskedjor, EOQ-modellen, Simulering
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-350450OAI: oai:DiVA.org:kth-350450DiVA, id: diva2:1884023
Supervisors
Examiners
Available from: 2024-07-12 Created: 2024-07-12

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CiteExportLink to record
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