Due to severe biodiversity and climate crises, there is now a need for sustainable supply chains. Food supply chains contribute to biodiversity loss, especially through land use and agriculture. In addition, energy-intensive storage for refrigeration and intercontinental transportation lead to high emission along chains due to seasonality. Selecting and prioritizing decarbonization actions is a key task for decision makers along food supply chains this decade. Often, modernizing supply chains by integrating information and digital technologies is seen as beneficial for environmental goals. The aim of this work is to develop a new systematization of sustainability measures based on archetypal sustainability strategies (sufficiency, consistency, and efficiency) that support the prioritization and thus the selection of decarbonization measures. Existing measures will be researched through a structured literature review. At the same time, it is recorded how they are categorized or systematized. Forty-eight different systematizations are analyzed. The majority relate to specific sectors and are not generally transferable. Sustainability is often addressed using the triple bottom line. In particular, efficiency and consistency measures are often included in the categories found but are rarely used for systematization. A new systematization of sustainability measures is proposed and applied to a set of digitalization and logistics 4.0 measures using the example of a fresh apple supply chain. The advantages of the proposed systematization are discussed, and further research directions are given. The presented method has not been examined in the literature so far; this concerns both the width and depth of the consideration of supply chains.

This chapter discusses the opportunities and challenges as well as the effects and impacts on value creation processes, work organization, and corporate management caused by the digital transformation, particularly in the area of logistics. At its core, the chapter highlights the potential for change associated with the design of flexible, networked, and resilient value creation systems. An overview of technologies and innovations according to the 4.0 idea is given, with solution components from the categories ‘Strategies and Principles,' ‘Methods and Models,' and ‘Technologies and Tools' being presented in a structured manner. The topics of ‘Resilience Management,' ‘Value Stream 4.0,' and ‘Artificial Intelligence' receive special attention in this context. At this point, the reader is given impulses as well as central fields of action for the digitization of processes, products, and services in value networks.

In order to design a resilient production system, individual system elements have to be flexible and adapt towards changing requirements. In contrast to the prevailing paradigm that complexity in production systems is reduced by standardisation or cycle production, complexity in resilient production systems offers great potential in terms of adaptiveness, robustness and anticipation. Within production control, matrix production is seen as a resilient and versatile system. Flexible routing between work-stations makes it possible to compensate for failures more quickly in the event of a malfunction, flexible logistics and control processes allow the workstations to be controlled and used in a job-specific manner. In this paper, challenges and operating principles of material supply strategies are investigated that have the biggest influence on the design of resilient processes in matrix production. Using a simulation model and scenarios from the automotive sector, the potentials, requirements and parameters for describing resilience are specified.

In the competitive landscape of modern manufacturing, validating shop floor configurations prior to implementation is crucial for minimizing risks and ensuring operational efficiency. Value Stream Management (VSM) is defined as a holistic management approach for mapping, analyzing, designing, and implementing waste-minimized value streams. This paper explores the application of a Digital Value Stream Twin (DVST), mainly focusing on the data- driven design and validation of shop floor configurations. Within this framework, a value stream model expanded to include the dimensions of costs and sustainability is used. The related key figures are considered as part of the scenario assessment to account for various company objectives. By leveraging a fischertechnik Training Factory Industrie 4.0 environment and utilizing Arena for simulation, the potential of DVST in creating optimal shop floor configurations is investigated. The results demonstrate the benefits of using DVST to enhance accuracy, flexibility, and decision-making in manufacturing environments.