Business Models

Data as Basis for Business Models

Data as Basis for Business Models

Recommendations for Competitive Predictive Maintenance Business Models
Sven Seidenstricker, Saskia Ramm, Barbara Dinter
The combination of product service systems and big data requires a change in the existing, traditional business models and a repositioning of the companies. Since these changes are often a challenge, this article uses the example of predictive maintenance to present the influences of big data and product service systems on the business models of medium-sized companies in mechanical and plant engineering. Based on a systematic literature review in combination with expert interviews, numerous practical business model implications were obtained, providing sound guidance for industry representatives.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 33-36 | DOI 10.30844/IM_22-6_33-36
Smart Connected Solutions

Smart Connected Solutions

Status quo, challenges and recommendations for industrial companies
Jonas Peter
As a result of dynamic markets, industrial companies often reach their limits to remain competitive. Smart connected solutions (SCS) comprise data-based and service-oriented offerings to stay successful. This paper provides practice-oriented insights into SCS maturity, challenges in building SCS business models and recommendations for action for industrial companies.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 5 | Pages 57-60
Key Factors for Successful Supply Chain Management

Key Factors for Successful Supply Chain Management

Sebastian Trojahn, Vanessa Klementzki
Today's business world is characterized by ever-increasing complexity in nearly every dimension. Supply chains can no longer be understood in a linear fashion, but form networks across numerous supply chain participants. Globalization and crises are straining existing structures, calling into question previously set priorities and measures, and demanding new solutions. How must supply chains be structured in this constantly changing environment in order to be successful? This article highlights fields of action for successful supply chain management.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 3 | Pages 48-52 | DOI 10.30844/I40M_22-3_48-52
Circular Economy – Chance for Innovation

Circular Economy - Chance for Innovation

Tobias Berndt, Claus Lang-Koetz, Silvia Rummel
Circular Economy is considered one of the most promising concepts on the way to a more sustainable economy. Expectations of a responsible corporate orientation are rising: This is shown by a recent ruling of the Federal Constitutional Court, which demands that Germany must be more ambitious in its climate goals [1]. The EU Green Deal envisages climate neutrality by 2050 and the “Circular Economy Action Plan” calls for more effective use of resources and reserves [2]. This article describes a method that companies can use to develop ideas for circular business models.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 1 | Pages 33-36 | DOI 10.30844/I40M_22-1_33-36
Digital Sustainability Management in Companies

Digital Sustainability Management in Companies

A Service-Oriented Approach to Develop a Platform for Data-Driven Sustainability Management
Justus von Geibler ORCID Icon, Julia Brandt, Lara Waltersmann, Robert Miehe, Ralf Tesch
The digitalization in sustainability management and the creation of a consistent database for sustainability data can significantly support companies in meeting increasing sustainability requirements and transparency regarding the sustainability performance. This paper presents a service-oriented approach for the development of a platform for data-driven sustainability management in manufacturing companies.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 1 | Pages 45-47 | DOI 10.30844/I40M_22-1_45-47
Container Terminal Automation − Success Factors for the Management of Straddle Carrier Automation

Container Terminal Automation − Success Factors for the Management of Straddle Carrier Automation

Erfolgsfaktoren für das Management der Automatisierung von Straddle Carriern
Sebastian Eberlein, Stephan Oelker, Serge Jacovis, Vanessa Beckmann, Michael Freitag ORCID Icon
Efficiency in container terminal operations is key for competitiveness. Many large German terminals use the flexible but relatively risk-laden manned straddle carriers (SCs). The research project STRADegy evaluated the reliability and profitability of automated SCs in northern-German container terminals via a combination of a pilot installation and an emulation at the container terminal in Wilhelmshaven. Parallel to that, rollout-guidelines were developed. This paper introduces central results regarding a successful rollout of auto-SC-systems.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 6-10
Industry 4.0 – The Way to a Digitised Production Company

Industry 4.0 - The Way to a Digitised Production Company

Der Weg zu einem digitalisierten Produktionsunternehmen
Jürgen Köbler, Tobias Fischer, Benjamin Klerch, Michael Schlecht
The age of globalisation is characterised by increased competition. An opportunity to succeed in the face of increasing competition lies in the digitisation of production companies. This article is dedicated to the design of a three-stage model platform of Industry 4.0, which focuses on the consistency of processes from the customer to the supplier at all company levels. The model platform is followed by an overview of the transformation steps for evaluating and shaping progress on the way to become a digitised production company.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 3 | Pages 57-60 | DOI 10.30844/I40M_20-3_S57-60
Artificial Intelligence for the Future Economy

Artificial Intelligence for the Future Economy

How to develop competitive business models from data
Johannes Winter
Artificial intelligence (AI) and self-learning systems have immense economic potential and are a driving force for digitalisation. Artificial Intelligence is radically changing value chains, business models, and employment in industry. Data-driven services are added to traditional products in almost all industries. Integrating Artificial Intelligence in products and services as well as using data from the production process provides opportunities for new business models in an increasing competitive international environment.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 2 | Pages 43-46
Blockchain Technology and 5G Networks

Blockchain Technology and 5G Networks

the Power of Decentralized Networks
Katarina Adam
Even though the attention of the mass media has long since turned to other technologies, the significance of blockchain technology is crystallizing more and more clearly. This article briefly describes the technology and uses an application example to show how the use of blockchain technology in the telecommunications industry could be linked to the benefit of all. The fact that our Internet is becoming slower and slower in its existing structure due to the increasing number of accesses via mobile devices can be observed in streaming services, among other things. Progressive digitalisation is producing digital data on an unprecedented scale. The challenge is to secure this data in stable networks at high transmission speeds. Widely diversified networks, which are connected to each other in a decentralized manner, promise a remedy. These structures are very familiar with blockchain technology and it can be assumed whether this technology has the potential to fundamentally change ...
Industrie 4.0 Management | Volume 36 | 2020 | Edition 1 | Pages 15-18
Decentralized IOTA-based Industry Marketplace

Decentralized IOTA-based Industry Marketplace

Industry marketplace based on IOTA, eCl@ss and I4.0 administrative shell
Alexander Belyaev, Christian Diedrich, Holger Köther, Alaettin Dogan
This article presents an IOTA Industry Marketplace. The industry marketplace is a manufacturer- and industry-neutral open-source platform, based on the specifications and guidelines of the platform Industry 4.0 and enables an uncomplicated integration of company information systems into the overall network. The industry marketplace combines distributed ledger technology, unchangeable audit trails, standardized, machine-readable language, an integrated distributed identity system and provides a trusted and secure infrastructure for data and value transfer.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 1 | Pages 36-40 | DOI 10.30844/I40M_20-1_S36-40
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