000			02937nam a22002297a 4500
999			_c4451 _d4451
005			20230112154342.0
008			230112b ||||| |||| 00| 0 eng d
020			_a9780367457815
082			_a658.7 _bWEH
100			_aWehberg, Gotz G. _910429
245			_aDigital supply chains: _bkey facilitator to industry 4.0 and new business models, leveraging S/4 HANA and beyond
250			_a3rd
260			_bRoutledge _aLondon _c2021
300			_axiv, 206 p.
365			_aGBP _b29.99
504			_aTable 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
520			_aThis 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.
650			_aMaterials management--Data processing _911312
650			_aInventory control--Data processing _911313
650			_aMaterials management _9816
942			_2ddc _cBK