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Influenced by the high dynamic of the markets the optimization of supply chains gains more importance. However, analyzing different procurement strategies and the influence of various production parameters is difficult to achieve in industrial practice. Therefore, simulations of supply chains are used in order to improve the production process. The objective of this research is to evaluate different procurement strategies in a four-stage supply chain. Besides, this research aims to identify main influencing factors on the supply chain’s performance. The performance of the supply chain is measured by means of back orders (backlog). A scenario analysis of different customer demands and a Design of Experiments analysis enhance the significance of the simulation results.
The complexity and volatility of companies’ environment increase the relevance of disruption preparation. Resilience enables companies to deal with disruptions, reduce their impact and ensure competitiveness. Especially in the context of procurement, disruptions can cause major challenges while resilience contributes to ensuring material availability. Even though past disruptions have posed various challenges and companies have recognized the need to increase resilience, resilience is often not designed systematically. One major challenge is the number of potential measures to increase resilience. The systematic design of resilience thus requires a detailed understanding of domain-specific measures. This also includes an understanding of the contribution of these measures to different resilience components and their interdependencies. This paper proposes a systematic approach for configuring resilience in procurement which enables the evaluation and selection of resilience measures. Based on a resilience framework, a resilience configurator is developed. The basis of the configurator are resilience potentials that have been characterized and clustered. Overarching approaches to design resilience and indicators to evaluate resilience are presented. Moreover, a procedure is proposed to ensure practical applicability. To evaluate the results two case studies are conducted. The results enable companies to systematically design their resilience in procurement.
Industry 4.0 and the consequent necessity of digitalization has also impli-cations to the field of procurement, resulting in the so-called term of Procurement 4.0. Digitalization can be a valuable tool to increase the efficiency of the procurement organization and to exploit new opportunities of growth. A mandatory requirement to perform the digital transformation is an increased transparency along the procurement process chain. This paper aims to conceptualize a digital shadow for the procurement process in manufacturing industry as a basis for advanced data analytics procedures. The term digital shadow stands for a sufficiently accurate, digital image of a compa-ny's processes, information and data. This image is needed to create a real-time eval-uable basis of all relevant data in order to finally derive recommendations for action. The formation of the Digital Shadow is thus a central field of action for Industrie 4.0 and forms the basis for all further activities.