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As a result of the progressively climate change, the environmental impact of corporate activities is becoming the focus of internal and external shareholders. At the same time more complex supply chain networks are being developed in the industry. The majority of the processes involved in a supply chain network are executed by globally spread partners. This trend makes it difficult to quantify the impact of individual corporate-level activities on the overall ecological performance of the supply chain. The following document evaluates the scope of application on the SCOR model for a structured range of data emissions from global supply chains, based on a detailed literature research.

Public discussions on the future of labour in the era of digitalization are dominated by notions of self-driving cars, factories without workers or fully automatic logistics. This creates fears of mass destruction of jobs and shrinking employment rates in the future. At the same time, it has led to intense debates on an unconditional basic income: While productivity would rise, a substantial drop in the number of jobs would question the income distribution mechanism our working societies are currently built on. This article argues that while replacement of existing jobs - or at least tasks - by technology will happen and has always happened, this is only one side of the coin. The future of labour markets will be more complex. This is discussed in a macroeconomic, firm and international dimension.

Current State of Disturbance Management Disturbances in production systems can lead to massive costs for enterprises. It is a highly relevant ability for manufacturing companies to cope with the effects of occurring disturbances and their prevention. A survey on manufacturing companies draws a current picture of disturbance management and identifies challenges for coping with disturbances.

Media disruption interferes with consistent and universal digitalization. Data is easily lost, time and resources wasted. Heterogeneous and isolated applications produce partial relief; however they fail to integrate redundant information from separately operated systems into a homogeneously processible data mass. The employment of a centralized data hub proposes a strategy to effectively advance digitalization in process management, connecting scheduling of involved parties, defect tracking and progress processes. It also automatizes reportings on project progress.

Using industry 4.0 maturity models, companies can systematically record their performance in the context of industry 4.0. When the status quo is determined, the question “Where do we want to be in future?” is usually associated at the same time. However, companies are not always in a position to introduce what is fundamentally possible. Therefore, this question is not trivial. If a company is supposedly aware of its I4.0 target position, external influences often lead to the fact that the achievement of the target is made more difficult or hindered. It is therefore important to take these circumstances into account. This paper shows how environmental developments can be taken into account when determining a promising I4.0 target position. The target position forms the starting point for the implementation of industry 4.0 in the company.

The advancing technological change, the globalization of markets as well as increasing customer requirements have led to a significant increase in complexity in manufacturing companies and their supply chains. Companies and entire value chains are countering this development with product modularization strategies. In this context, however, the investigation of the influences of product modularization on the supply chain receives little attention. This can lead to unused potentials and additional risks, such as the loss of core competencies. Therefore, this article deals with necessary processes and success factors that result from a joint consideration of product modularization along the supply chain. On the basis of a systematic analysis of scientific literature and guideline-supported expert interviews, a process model with different phases and steps was developed and currently necessary success factors were identified.

The growing amount of available data due to the digitalization of value creation is accelerating the transformation of manufacturing industries into providers of customer-oriented services. Smart services, currently the most highly developed level of data-based digital services to complement physical products for specific customer expectations, are an example of this. However, the analysis of expert interviews as well as of use cases from business practice shows that the knowledge of how such smart services can be developed is still rudimentary. This article presents a framework for Smart Service Lifecycle Management that supports the systematic development of Smart Services, taking into account business models and the value network. The framework concept will be implemented and validated based on an application example from the textile industry.

Blockchain (BC) comprises features that are relevant for supply chain management. Product recalls continue to increase due to complex supply chains. The challenge is to efficiently prepare a product recall, perform it adequately and execute the root cause analysis. The BC can support as a tool and create transparency. A reaction to required product recalls can occur timely, cost efficiently and situationally appropriate.

The digital transformation of the industry, with its technological components, has a direct impact on the alignment of logistics processes within companies as well as in entire corporate networks. The development and integration of new technologies is triggering more and more rigid corporate structures and control architectures. The vision ranges from decentralized networks of modular conveyor and storage technology to the application of artificial intelligence for smart services in logistics. There is a requirement to identify the logistic objects, to locate them, to control them and to record their states, in order to achieve a goal-oriented interaction in the sense of a holistic networking.

Digitalization is a strategic core issue that has to be anchored in the strategy of every company. The challenge in this context is that there is no uniform pattern for the digital transformation of a company. Instead, each company has to develop its own company-specific plan how it will position itself in the context of digitalization. Furthermore, the development of an individual digitalization strategy is required. The following article presents a planning approach for the development of such a digitalization strategy, based on three major steps.