Proceedings CPSL 2022
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- ItemProceedings of the Conference on Production Systems and Logistics: CPSL 2022(Hannover : publish-Ing., 2022) Herberger, David; Hübner, Marco[no abstract available]
- ItemPareto Heuristic for Product Family-Oriented Product-Workstation Allocation Planning with Restricted Capacities(Hannover : publish-Ing., 2022) Urnauer, Christian; Larem, Anna-Maria; Metternich, Joachim; Herberger, David; Hübner, MarcoA prerequisite for value stream design is the segmentation of products into families. This means that all products of a family are assigned to the same group of workstations so that the resulting material flows are separated as good as possible, and a higher degree of transparency is reached on the shop floor. However, since the number of workstations as well as their capacity is limited, shared resources cannot always be avoided in practice. Furthermore, the objective of product family orientation may compete with the objective of fulfilling product-workstation preferences. These preferences result, for example, from required equipment like specific tooling or from capability requirements. An optimization heuristic for this product-workstation allocation problem is presented within this article. First, the mathematical problem is formally described, then the heuristic is introduced and the required data for its application is outlined. For the evaluation, an extensive test set is generated, comparison heuristics are implemented, and solutions are made comparable through problem-specific bounds for both objectives. The results show that the solution quality of the pareto heuristic for both objective functions achieves almost the level of the comparison heuristics, which optimize only one of the objectives in isolation.
- ItemA Framework for Structuring Resilience and its Application to Procurement(Hannover : publish-Ing., 2022) Linnartz, Maria; Schuh, Günther; Stich, Volker; Herberger, David; Hübner, MarcoCompanies operate in an increasingly volatile environment where different developments like shorter product lifecycles, the demand for customized products and globalization increase the complexity and interconnectivity in supply chains. Current events like Brexit, the COVID-19 pandemic or the blockade of the Suez canal have caused major disruptions in supply chains. This demonstrates that many companies are insufficiently prepared for disruptions. As disruptions in supply chains are expected to occur even more frequently in the future, the need for sufficient preparation increases. Increasing resilience provides one way of dealing with disruptions. Resilience can be understood as the ability of a system to cope with disruptions and to ensure the competitiveness of a company. In particular, it enables the preparation for unexpected disruptions. The level of resilience is thereby significantly influenced by actions initiated prior to a disruption. Although companies recognize the need to increase their resilience, it is not systematically implemented. One major challenge is the multidimensionality and complexity of the resilience construct. To systematically design resilience an understanding of the components of resilience is required. However, a common understanding of constituent parts of resilience is currently lacking. This paper, therefore, proposes a general framework for structuring resilience by decomposing the multidimensional concept into its individual components. The framework contributes to an understanding of the interrelationships between the individual components and identifies resilience principles as target directions for the design of resilience. It thus sets the basis for a qualitative assessment of resilience and enables the analysis of resilience-building measures in terms of their impact on resilience. Moreover, an approach for applying the framework to different contexts is presented and then used to detail the framework for the context of procurement.
- ItemDevelopment of a Method for Decision Support on Participation in Capacity Sharing for Manufacturing SMEs(Hannover : publish-Ing., 2022) Müller, Maren; Schüler, Fabian; Stonis, Malte; Nyhuis, Peter; Herberger, David; Hübner, MarcoA volatile, non-transparent market environment leads to fluctuations in the load on production capacities in the manufacturing sector, which are reflected within production in the over- or underutilization of machines and persons. Small and midsized enterprises (SMEs) are expecting increasing volatility, which is accompanied by an increase in the frequency of market and economic cycles. For SMEs it is difficult to cope with these fluctuations. Capacity sharing platforms can be a solution for this challenge. Platforms are available in different forms, but not used by companies often, because of prevailing scepticism in different fields. Therefore, a methodology will be developed to provide a decision support for or against platform usage. Additionally, the platform type choice will be supported, and the changes of logistic and economic indicators will be considered. With this information companies can make a qualitative decision, and the existing inhibitions can be alleviated.
- ItemStructuring the Digital Energy Platform Jungle: Development of a Multi-Layer Taxonomy and Implications for Practice(Hannover : publish-Ing., 2022) Duda, Sebastian; Kaymakci, Can; Köberlein, Jana; Wenninger, Simon; Haubner, Tobias; Sauer, Alexander; Schilp, Johannes; Herberger, David; Hübner, MarcoRising and volatile energy prices are forcing production companies to optimize their consumption patterns and reduce carbon emissions to remain competitive. Demand-side management (DSM) or energy flexibility (EF) is a promising option for the active management of electricity demand. With DSM, energy procurement costs can be effectively reduced, for example, by reducing peak loads and taking advantage of volatile energy prices. In addition, renewable energies can be better integrated to reduce carbon emissions while stabilizing the power grid. Although the benefits of DSM for production companies are well known, implementation is not yet widespread. A key barrier is the high requirements of IT systems and the associated effort and complexity involved in setting them up. Companies often lack appropriate IT systems or have historically grown systems that do not allow continuous communication from the machine to the energy market. A variety of different platforms promise solutions to address these challenges. However, when selecting platforms, it is often unclear which aspects and functionalities of a platform are relevant for a company’s specific application. To address this gap, we developed a multi-layer taxonomy of digital platforms for energy-related applications in the industry that includes a general, as well as a more specific data-centric and transaction-centric perspective. We develop, revise, and evaluate our taxonomy using insights from literature and analysis of 46 commercially available platforms or platforms developed through research projects. Based on our taxonomy, we derive implications for research and practice. Our results contribute to the descriptive knowledge of digital platforms in energy-related applications. Our taxonomy enables researchers and practitioners to classify such platforms and make informed decisions about their deployment.