industrial internet of things

Digital Platform Frameworks for Manufacturing Companies

Digital Platform Frameworks for Manufacturing Companies

A review
Marcel Rojahn ORCID Icon
In recent years, digital platforms have established themselves as a central concept in the IT field. Due to the wide variety of digital platforms available on the market, there is still a need for clear comparison with criteria to enable interested parties to select, change, operate and further develop these platforms. The following paper aims to contribute to the facilitation of this comparison by undertaking a systematic literature review of digital platform frameworks in the context of the Industrial Internet of Things (IIOT) for manufacturing companies and thus providing a basis for a number of potential ways to effectively compare current digital platforms and ecosystems.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 8-15 | DOI 10.30844/I4SE.24.2.8
Effort and Benefits of IIoT Platforms

Effort and Benefits of IIoT Platforms

A systematic approach to identifying when to implement common use cases in SME
Rainer Eber, Steffen Schwarzer, Yannik Müller, Dennis Kollmann
SME often encounter risks and obstacles when implementing IIoT solutions, but these challenges can be mitigated with the use of an IIoT platform. To select the appropriate platform, a decision- making approach has been developed. By choosing the right use cases, companies can directly benefit from IIoT implementation and gain a competitive edge in the market. Our research indicates that at least three applications have a favorable balance between benefits and effort. Once successfully implemented, these applications can be expanded and scaled as the company becomes more digitally proficient.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 22-26
Platform Economy Without a Platform

Platform Economy Without a Platform

How DAOs could make Industry 4.0 more efficient
Andreas Wagener
The application of blockchain and smart contracts also enables the building and operation of decentralized autonomous organizations (DAOs). While DAOs are already regularly in use in other areas – e. g. the financial sector − there has hardly been any application in an industrial environment, although, digitalisation and the upcoming of the "Internet of Things" have created a fruitful environment. This article looks at possible economic approaches to adaptation and explores potential business models that could result from the establishment of DAOs in Industry 4.0. (Only in German)
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 51-53
Ecological Benefits of Industry 4.0

Ecological Benefits of Industry 4.0

A Qualitative-Empirical and Literature-Based Study
Kai-Ingo Voigt, Marc Rücker, Johannes W. Veile
Industry 4.0 describes the digitization and interconnection of industrial value creation. So far, economic and technological potentials have been considered in particular, while ecological opportunities through industry 4.0 receive less attention. This article examines the ecological potentials of Industry 4.0 in terms of resources, energy consumption, logistics and transport, waste and emissions, from which propositions are derived. The study attempts to better understand of the ecological potentials of Industry 4.0 in order to contribute to more sustainable industrial value creation.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 6 | Pages 24-28
Lifecycle Monitoring of Intelligent Production Systems

Lifecycle Monitoring of Intelligent Production Systems

An Innovative Concept for the Implementation of Smart Maintenance
Eckart Uhlmann ORCID Icon, Eckhard Hohwieler, Claudio Geisert
Digitization of industrial production processes allows the introduction of datadriven business models using Cyber Physical Systems (CPS) and Industrial Internet of Things (IIoT). To ensure efficient manufacturing, production systems must be able to communicate and interact with their environment, to monitor wear conditions, and to selfadapt their behavior to a given situation. This article gives an overview about the historical development of intelligent production systems with focus on condition monitoring and predictive maintenance in an availability oriented business model.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 5 | Pages 45-49
Humans in Cyber-Physical Production Systems

Humans in Cyber-Physical Production Systems

A Method for Evaluation of Design Principles for User Interfaces
Hendrik Stern ORCID Icon, Till Becker
Due to the change of work in manufacturing caused by the introduction of Cyber-Physical systems, there is a need for adequate design principles for user interfaces between humans and machines. Within a research project, a method for the determination and evaluation of such design principles was developed. The method can be used to create a catalogue of rules regarding the successful integration of human factors into Cyber-Physical production systems.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 4 | Pages 51-54
Autonomous Systems in Production

Autonomous Systems in Production

Toward a planning and development methodology
Roman Dumitrescu ORCID Icon, Thorsten Westermann, Tommy Falkowski
The performance of assistance systems, especially in the automotive sector, has become an unique selling point. The trend toward Autonomous driving represents the expected impact of innovation resulting from the exploitation of the latest technologies. Besides autonomous driving, other areas of application for autonomous systems could trigger social change - the prime example being industrial production. The following article presents a planning approach tailored to the complex engineering task of planning and designing autonomous systems for industrial applications.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 6 | Pages 17-20 | DOI 10.30844/I40M_18-6_17-20
Technology Transfer through Business Ecosystems

Technology Transfer through Business Ecosystems

Strategien für eine erfolgreiche digitale Transformation industrieller Wertschöpfungsketten im IIoT-Kontext
Jonas Soluk
The Industrial Internet of Things (IIoT) radically changes value creation in the manufacturing industry. Dynamic environmental factors, technical complexity, and limited resources cause many companies to be left behind. As a principle borrowed from strategic planning, business ecosystems can provide new ways of interorganizational collaboration and thus dynamize efforts to internalize specific IIoT knowledge. Especially in an early phase of trend scouting and idea generation, ecosystems can be seen as a highly effective venturing concept.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 3 | Pages 63-66
The Industrial Internet of Things

The Industrial Internet of Things

Social and Educational Perspectives
Lothar Abicht, Thomas Flum
Economy, enterprises and employees are sustainably affected by digital transformation. The new opportunities of education and training to evaluate learner behavior digitally are of particular interest. Learning analytics can be used for specific optimization of learning forms and content for the benefit of learners and of the training company.
Industrie 4.0 Management | Volume 32 | 2016 | Edition 6 | Pages 39-41