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2023 | Buch

Smart Factory Navigator

Identifying and Implementing the Most Beneficial Use Cases for Your Company—44 Use Cases That Will Drive Your Operational Performance and Digital Service Business

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The digitization of factories promises great potential benefits. The implementation of the various technologies for the smart factory is extremely complex, requires new competencies and necessitates significant investments. The question is: How can an industrial company successfully manage this transformation? For this purpose, more than 500 published use cases were screened. These could be categorized into 44 relevant use cases, which we describe in detail in the book. Our research has also shown that strategy and goal orientation must be at the core of the change. Furthermore, the combination of employee knowledge and use of technology is central to success. This led to the creation of our smart factory implementation approach. In various research and consulting projects we were able to apply this process and realize successful implementations in different companies. This 7-step process starts with the selection of promising use cases, followed by a prioritization step, adaptation to the company-specific context and a detailing of the information needs for the different management levels. Stringent project management helps the user achieve positive results that can then be rolled out on a global scale. This process is not only applicable to the "actual factory" but can also be used to design smart services for the factory of tomorrow.

Content

Smart factory definition and characterization · The smart factory navigator · The smart factory framework · Description of the 44 use cases for the smart factory · Technology mapping in relation to the 44 use cases · Smart factory implementation process · Smart services for the smart factory

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
A look at the economic data shows more than clearly that production in the high-cost countries is still important. Contrary to opinions to the contrary, production is not leaving the “rich countries” and never has. Nevertheless, the constant drive for optimization will continue both in high-cost countries and at the global production network level. New digital technologies will create the next level of opportunity for further productivity gains. This book takes you through the entire process from ideation to roadmapping to implementation and shows you how to systematically leverage digitalization to further strengthen your operations.
Lukas Budde, Roman Hänggi, Thomas Friedli, Adrian Rüedy
Chapter 2. Smart Factory Navigator
Abstract
In recent years, the adoption and application of new technologies - Internet of Things (IoT), cloud computing, augmented reality (AR) and artificial intelligence (AI), to name a few - has accelerated in manufacturing. To remain competitive, manufacturing companies are looking to these digital technologies as a way to increase the efficiency and flexibility of their production. This chapter describes the fundamentals of smart manufacturing, including key concepts and technologies. Implementing the smart factory approach is a complex transformation and goal-oriented process. The Smart Factory Navigator therefore proposes an integrated approach.
Lukas Budde, Roman Hänggi, Thomas Friedli, Adrian Rüedy
Chapter 3. Smart Factory Framework
Abstract
The Smart Factory Framework consists of a detailed representation and analysis of the 44 generic use cases. These use cases are relevant to a company's operational strategy. A detailed understanding of the use cases is critical for selection and prioritization. In this chapter, each use case is described and summarized in a standardized manner to provide information about the nature and application of each use case.
Lukas Budde, Roman Hänggi, Thomas Friedli, Adrian Rüedy
Chapter 4. Smart Factory Implementation Process
Abstract
As the use case patterns show, the smart factory provides a bundle of new opportunities to drive performance and increase competitive advantages for a company. New technologies require new skills, in particular digital skills. Additionally, and even more importantly for implementing smart manufacturing, use cases become the holistic understanding of any kind of process from end-to-end. The combination of new technologies with the existing knowledge about processes and pain points is a challenging task. Many interdependencies need to be considered, and knowledge from different functional departments has to be intelligently exploited to create value. Implementing the required changes is a major challenge, with many hurdles. This section shows how to overcome them successfully.
Lukas Budde, Roman Hänggi, Thomas Friedli, Adrian Rüedy
Chapter 5. Use Case Framework to Identify Digital Services for Commercialization
Abstract
Beside efficiency benefits enabled by the use cases, the Smart Factory Framework also provides a company with the basis for developing new digital services. In this chapter, we show how the framework can be used and how use cases can be marketed as digital services.
Lukas Budde, Roman Hänggi, Thomas Friedli, Adrian Rüedy
Chapter 6. Learning from Case Studies and Outlook
Abstract
We have been using the Smart Factory Navigator and the implementation process in various projects with industrial companies since 2017. The Smart Factory Framework and implementation process have already been proven in more than 20 research and consulting projects with industrial companies, ranging from large multinationals to small and medium-sized enterprises. The projects included the manufacturing of machining parts, the railway industry, the plastics processing industry, construction suppliers, logistics companies, machinery and plant engineering, and automotive suppliers. This chapter summarizes our findings in concise form.
Lukas Budde, Roman Hänggi, Thomas Friedli, Adrian Rüedy
Metadaten
Titel
Smart Factory Navigator
verfasst von
Lukas Budde
Roman Hänggi
Thomas Friedli
Adrian Rüedy
Copyright-Jahr
2023
Electronic ISBN
978-3-031-17254-0
Print ISBN
978-3-031-17253-3
DOI
https://doi.org/10.1007/978-3-031-17254-0

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