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To provide a model for precise logistic controlling of one‐piece flow processes and for the description of the interactions between logistic performance measures. The developed method can help manufacturing enterprises to control their production processes and therewith to exploit existing rationalization potentials in their production.

The Institute of Production System and Logistics adapted the logistic operating curve for schedule reliability and the logistic operating curve for mean throughput time to describe the behaviour of one‐piece flow processes. This model‐based method depicts the correlation between the delivery reliability and mean WIP level of single manufacturing systems and enables a goal‐oriented modelling as well as a controlling of single manufacturing processes.

The derivation, calculation, and fields of application of the logistic operating curves for one‐piece flow processes, that give a functional relationship between mean WIP, mean throughput time and schedule reliability, are presented in this paper. Moreover, the paper presents how the logistic performance measures can be adjusted to target values.

This paper offers practical help to manufacturing enterprises confronted with the task of evaluation and optimization of manufacturing processes within the framework of production controlling. Moreover, the developed method enables manufacturing enterprises to identify bottleneck work systems where action can be taken to optimize their schedule situation and thereby improve the delivery reliability of an entire manufacturing department.

The purpose of this paper is to transfer the idea of changeability to a concrete technical application.

Based on the definition of changeability on a factory level, a transformation of the five change enablers specified therein for the work station level using the example of an aerodynamic feeding system takes place in this paper.

The observed aerodynamic feeding system can be determined as changeable.

Changeable systems are able to react with low effort to exterior influences, e.g. of the market, and thus represent a considerable competitive advantage.

The new element in this paper is the observation of change enablers on the work station level. This point of view enables the concrete figuration of changeable technical systems.

The purpose of this paper is to present competences that are highly relevant for manufacturing today and tomorrow. Following a discussion on the concept of “competence”, a variety of competences are presented and classified into the four facets professional, methodological, social, and self-competence.

Using an exploratory method, the paper aims at describing relevant manufacturing-related competences with the help of an online survey. Experts, mostly from the production management or HR departments of manufacturing companies in Germany, were polled and asked to evaluate the relevancy of a list of competences for manufacturing.

For the experts, flawless execution and quality awareness are competences with a very high relevance, whereas analytical abilities have very little meaning. The experts questioned expect openness to change to undergo the strongest increase in importance.

This paper shows competences particularly relevant for future production, so that companies can derive specific competence development measures. The findings are descriptive only, but should enable companies to identify specific competence gaps and to select measures to develop competences.

This paper attempts to bridge the gap between academics and practice by outlining relevant manufacturing competences that have been evaluated by managers. This is in contrast to most scientific research that classifies manufacturing-related competences as important based on own assessment.

The purpose of this paper is twofold: to raise and address an important change for the human capital in the future of Industry 4.0, and to propose a human-focused perspective for companies underneath the new Industrial Revolution.

The research study follows a state-of-the-art literature review process. The nature of the selected approach enables to cover the extensive aim of the paper with sufficient scientific solidity that should support the understanding of every topic.

This work has presented three relevant aspects for Industry 4.0 and its human labour force: a workforce architecture with new interactions, a term to embrace the human capital of the future and a typology for referencing the required competences for Industry 4.0.

The paper sheds light on an important aspect for the emerging Industrial Revolution, the human force. The result and conclusion sections suggest future implications for academia and the private sector, due to changes at the conceptual and practical levels of human operation in the industry – for example, new structural interactions among employees, additional qualities to human capital and different ways to identify the competences for the workforce.

This is an interdisciplinary study that tries to bring together a modern industrial term, a social focus and a company scenario. From this, it was possible to obtain a new social term, a novel typology of competences and a new company-scenario interaction.