Описание: This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them.
The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications.
There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them.
Автор: Dickersbach Название: Supply Chain Management with APO ISBN: 354092941X ISBN-13(EAN): 9783540929413 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers an overview about the supported SCM processes and explains how to implement SAP APOTM in a company. This book introduces modelling approaches and explains the structure and interdependencies of systems, modules and entities of SAP APOTM based on the release SAP SCMTM 2008.
Автор: Martin James Название: Lean Six Sigma for Supply Chain Management ISBN: 0071793054 ISBN-13(EAN): 9780071793056 Издательство: McGraw-Hill Рейтинг: Цена: 8921.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A unique, 10-step improvement process for identifying and solving the root causes of supply chain problems using the latest Lean Manufacturing principles-updated to cover kaizen events, big data analytics, customer loyalty metrics, security, and sustainability
Автор: Graham, Manikas & Folinas Название: E-Logistics And E-Supply Chain Management ISBN: 1466639148 ISBN-13(EAN): 9781466639140 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Business models rely on the development and use of technologies in logistics and supply chain management in order to continually improve business processes. <em>E-Logistics and E-Supply Chain Management: Applications for Evolving Business</em> explores the creation of integrated supply chains, the developments of virtual business, and the processes of re-engineering for business development. This reference source is useful for researchers, students, and practitioners to provide an academic and pragmatic approach to electronic logistics and supply chain management.
Автор: Julia Wolf Название: The Nature of Supply Chain Management Research ISBN: 383490998X ISBN-13(EAN): 9783834909985 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Foreword Among researchers in the business and management disciplines, there is some kind of a common understanding that research should provide models, concepts and solutions for practical problems. In other words: research is practice-oriented and, personally, I subscribe to this maxim. Still, sometimes, it is important to pause for a moment and reflect upon one s own activities. The present thesis is one of those comparatively few pieces of research that do so by dealing with the scientific side of research and by asking a number of questions that target at the identification of the nature of a very recent subfield within business and management, namely Supply Chain Management. In particular, the author seeks to understand the processes that characterize the evolution of Supply Chain Management research throughout the past sixteen years and reflects upon avenues for future research - feeling that SCM research seems to have come to a crossroads. The systematic reprocessing of Supply Chain Management literature and the methodologically sound approach are impressive and enable Julia Wolf to contribute a valuable component to scientific practice and debate in this area. Her work also illustrates that, in terms of philosophical underpinnings, research in Supply Chain Management is still at the very beginning and I hope that this thesis gives rise to more work of similar kind."
Описание: Quick Response (QR) policy is a market-driven business strategy in which supply chain members work together to react quickly to volatile market demand. Nowadays, with advances in information technologies (such as RFID and ERP systems), new challenges and opportunities arise for the application of QR. This handbook explores QR extensively with a view to discovering innovative QR measures that can help tackle the observed and emerging challenges. The book is organized into four parts, which include chapters on analytical modeling and analyses, information technologies, cases, reviews, and applications. This handbook provides new analytical and empirical results with valuable insights, which will not only help supply chain agents to better understand the latest applications of QR in business, but also help practitioners and researchers to know how to improve the effectiveness of QR using innovative m
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