Manufacturing enterprises strive for a secure and ongoing material flow. Procurement risks along the value chain of manufacturing enterprises frequently interfere with the material flow. This reduces the economic performance of manufacturing enterprises and in some cases even threatens their economic very existence. In this respect, manufacturing enterprises face the challenge of deciding on suitable procurement strategies for their production systems.
Risk management enables manufacturing enterprises to handle such procurement risks under the best possible economic conditions. The present thesis provides a model to operationalize risk management with respect to procurement risks, in particular a model to monetarily aggregate procurement risks to support decision makers. A material flow oriented view forms the fundament of the model. The model is designed to aggregate delay, quality and cost related procurement risks considering uncertainty to form an aggregated monetary risk distribution. Based on the aggregated distribution decision-makers are enabled to select procurement strategies that are adequate for their risk situation, depending on their affinity for risk.
A test run in a real life decision situation of a medical technological company (and several mechanical engineering companies) demonstrated applicability of the model in principal – in particular with respect to rather strategic decision making. In any case, manufacturing enterprises that intend to aggregate their procurement risks monetarily face the challenge of estimating or collecting data of these risks with as little effort as possible, while at the same time assessing them on a valid basis.
|Autor||von Cube, Philipp|
Fertigungsmesstechnik und Qualitätsmanagement
Model to Monetarily Aggregate Risks of Procurement to Support Decision Makers of Manufacturing Enterprises
The present thesis provides a model to monetarily aggregate procurement risks to support decision makers. A material flow oriented view forms the fundament of the model. The model is designed to aggregate delay, quality and cost related procurement risks considering their uncertainty. Procurement risks are aggregated to form a monetary risk distribution. Decision-makers can select procurement strategies that are adequate for their risk situation, depending on their affinity for risk to mitigate procurement risks.