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Record Nr. |
UNINA9910254916203321 |
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Titolo |
Supply Chain Segmentation : Best-in-Class Cases, Practical Insights and Foundations / / edited by Margarita Protopappa-Sieke, Ulrich W. Thonemann |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (VII, 74 p. 20 illus. in color.) |
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Disciplina |
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Soggetti |
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Business logistics |
Engineering economics |
Engineering economy |
Production management |
Operations research |
Decision making |
Supply Chain Management |
Engineering Economics, Organization, Logistics, Marketing |
Production |
Operations Research/Decision Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Supply Chain Segmentation Scientific Frameworks -- McKinsey Supply Chain Segmentation Framework -- Philips Segmentation Case Study -- The Supply Chain Segmentation Journey of Volvo CE -- Gardena's Segmentation in a Volatile and Seasonal Market -- Supply Chain Segmentation at Siemens Healthineers -- Steps to Success. . |
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Sommario/riassunto |
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This book addresses the challenges companies face when different customer value propositions require them to pursue a differentiated supply chain strategy. It provides practical insights on how to achieve successful supply chain segmentation and presents the benefits this can yield for companies on the basis of best-in-class industry case studies from Gardena, Philips Luminaire, Siemens Healthcare and Volvo |
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Construction Equipment. Drawing on these examples, it provides recommendations and solutions on how to define supply chain segmentation, and how to set up and implement a transformation program. Furthermore, it presents an in-depth discussion of the current theoretical background of supply chain segmentation and introduces the current trends and available frameworks. Offering readers specific, pragmatic guidance on the main challenges and opportunities and proposing ways to effectively measure efficiency and performance, the book concludes with the do’s, don’ts and most important aspects to keep in mind when considering an end-to-end segmentation. |
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