Refine
Document Type
- Article (2)
- Part of a Book (1)
- Conference Proceeding (3)
Language
- English (6) (remove)
Is part of the Bibliography
- no (6) (remove)
Keywords
- 02 (2)
- Adaptability (1)
- Data sharing (1)
- Data-driven decision (1)
- Disruptions (1)
- Entscheidungsunterstützung (1)
- Footprint design (1)
- Global production (1)
- Internet of Production (1)
- Internet of production (1)
- Network configuration (1)
- Procurement Strategy (1)
- Product Characteristics (1)
- Production management (1)
- Production networks (1)
- SCM (1)
- SV7266 (1)
- SV7420 (1)
- Social capital (1)
- Softwaretool (1)
- Supply Risks (1)
- Supply chain collaboration (1)
- Supply-Chain-Management (1)
- disruptions (1)
- procurement strategy (1)
- resilience (1)
- rev (2)
- supply chain management (1)
- supply risks (1)
- textile supply chain (1)
Institute
Recent developments have demonstrated the challenges and impacts of disruptions in supply chains. Current disruptions especially affected procurement and have indicated a lack of resilience. Resilience aims at being prepared, decreasing the impact, and enabling fast reactions and adaption in case of disruptions. The systematic design of resilience in procurement is significantly influenced by proactive and strategic actions before disruptions occur. Thus, the procurement strategy plays a major role when increasing resilience. The procurement strategy is influenced by various factors. Thus, a data-based approach for its systematic design is required. Based on the vision of the Internet of Production (IoP), this paper presents a data-based approach for designing procurement strategies. The IoP is a framework that enables cross-domain collaboration by providing semantically adequate and contextual data from production, development, and usage in real-time at an appropriate granularity. The paper aims at analyzing the state of the art regarding the design of procurement strategy in uncertain environments and the identification of success-critical purchased articles. Based on this, an approach is developed that is structured along the action research cycle and uses CRISP-DM to further detail the different steps. Through the use of these frameworks, both practical applicability and objective evaluation are ensured. The proposed approach thus allows the systematic evaluation of purchased articles regarding supply risks and lies the foundation for the adaption of the procurement strategy. The resulting approach is the foundation for future practical application of different use cases. As one central use case for the presented approach, the paper introduces the textile industry and its supply chains.
In recent years, the complexity of the management of supply chains has increased significantly due to the growing individualization of products and dynamics of the market environment. To remain competitive, ensuring efficient and flexible processes and procedures along the entire supply chain are of particular importance for companies. Especially in the inter-company context, decisions must be made as quickly and correctly as possible. To enable good decision-making processes data must be processed and provided in a targeted manner. Currently, however, the necessary transparency is often lacking within the supply chains. In this article, a software-based assistance system for decision support on supply chain level is presented that aims to increase the transparency and efficiency of the decision-making process. A concept for decision support on supply chain level is presented. This paper focuses on the conceptual linkage of relevant decisions and data. Therefore, indicators are identified and linked with the relevant decisions. Moreover, a suitable way of visualizing the identified indicators for each decision in a user-friendly manner is defined. These results are then used to implement the software tool.