Digital supply chains: key facilitator to industry 4.0 and new business models, leveraging S/4 HANA and beyond

Table of Contents
Part 1: Why supply chain complexity matters

1 The complexity issue

2 Need for a framework

Part 2: Where we come from

1 Existing approaches

2 Resilient understanding

3 Frame of reference: digital twin of supply chains

Part 3: What a digital supply chain is

1 Cultural aspects

2 Resilient understanding

3 Supply chain planning

4 Relevance of the digital twin of a product

5 Coordination along the chain

Part 4: How to develop digital supply chains

1 Typical paths of supply chain evolution

2 Key principles of supply chain evolution　

3 Next steps for digital supply chain management

Part 5: Over and beyond digital supply chains

The ten biggest errors as to digital supply chains

This book provides a practical guide to digital supply chain modelling, demonstrating an agile approach to how such models can be applied to any manufacturing company to build competitive advantage, facilitate new business models and drive towards Industry 4.0. The agile approach of the book provides an attractive alternative to the conventional country-by-country deployment of S/4 HANA and other relevant technologies.

This book contains the expertise Gotz G. Wehberg has amassed over 20 years as a senior partner in a leading consulting company, working across industries and with globally recognized clients, advising on digitization. In it, he explains the scientific roots of digital supply chain management such as holism, cybernetics, self-organization and evolutionary theory to inform a deep understanding that can drive a supremely innovative strategy for Industry 4.0.

Beyond strategy, Wehberg introduces the practical tools and technologies used in supply chain modelling, for example, sensors, big data, artificial intelligence and the Internet of Things, as well as a reference framework that categorizes the technologies, together with the latest concepts and tools, such as DDMRP, predictive S&OP, pattern recognition, autonomous logistics and Lean. This framework supports decision making for developing supply chains in an end-to-end and cross-functional fashion, providing clear guidance for executives and managers on how to design supply chains for the future.