Part Special Issue Modelling And Analysis In Supply Chain Management Systems
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Dynamic Modelling for Supply Chain Management
| Author | : Adolfo Crespo Márquez |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 297 |
| Release | : 2010-01-29 |
| Genre | : Technology & Engineering |
| ISBN | : 1848826818 |
"Dynamic Modelling for Supply Chain Management" discusses how to streamline complex supply chain management by making the most of the growing number of tools available. The reader is introduced to the basic foundations from which to develop intelligent management strategies, as the book characterises the process and framework of modern supply chain management. The author reviews supply chain management concepts and singles out important factors in the management of modern complex production systems. Particular attention is paid to modern simulation modelling tools that can be used to support supply chain planning and control. The book explores the operational and financial impacts of various potential problems, offering a compilation of practical models to help identify solutions. A useful reference on supply chain management, "Dynamic Modelling for Supply Chain Management" will benefit engineers and professionals working in a variety of areas, from supply chain management to product engineering.
Quantitative Models for Supply Chain Management
| Author | : Sridhar Tayur |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 851 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 1461549493 |
Quantitative models and computer-based tools are essential for making decisions in today's business environment. These tools are of particular importance in the rapidly growing area of supply chain management. This volume is a unified effort to provide a systematic summary of the large variety of new issues being considered, the new set of models being developed, the new techniques for analysis, and the computational methods that have become available recently. The volume's objective is to provide a self-contained, sophisticated research summary - a snapshot at this point of time - in the area of Quantitative Models for Supply Chain Management. While there are some multi-disciplinary aspects of supply chain management not covered here, the Editors and their contributors have captured many important developments in this rapidly expanding field. The 26 chapters can be divided into six categories. Basic Concepts and Technical Material (Chapters 1-6). The chapters in this category focus on introducing basic concepts, providing mathematical background and validating algorithmic tools to solve operational problems in supply chains. Supply Contracts (Chapters 7-10). In this category, the primary focus is on design and evaluation of supply contracts between independent agents in the supply chain. Value of Information (Chapters 11-13). The chapters in this category explicitly model the effect of information on decision-making and on supply chain performance. Managing Product Variety (Chapters 16-19). The chapters in this category analyze the effects of product variety and the different strategies to manage it. International Operations (Chapters 20-22). The three chapters in this category provide an overview of research in the emerging area of International Operations. Conceptual Issues and New Challenges (Chapters 23-27). These chapters outline a variety of frameworks that can be explored and used in future research efforts. This volume can serve as a graduate text, as a reference for researchers and as a guide for further development of this field.
Research Methodologies in Supply Chain Management
| Author | : Herbert Kotzab |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 616 |
| Release | : 2006-01-16 |
| Genre | : Business & Economics |
| ISBN | : 3790816361 |
For reseach in all subjects and among different philisopical paradigms, research methodologies form one of the key issues to rely on. This volume brings a series of papers together, which present different research methodologies as applied in supply chain management. This comprises review oriented papers that look at what kind of methodologies have been applied, as well as methodological papers discussing new developments needed to successfully conduct research in supply chain management. The third group is made up of applications of the respective methodologies, which serve as examples on how the different methodological approaches can be applied. All papers have undergone a review process to ensure their quality. Therefore, we hope that this book will serve as a valid source for current and future researchers in the field. While the workshop on “Research Methodologies in Supply Chain Management” took place at the Supply Chain Management Center, Carl von Ossietzky Univ- sity in Oldenburg, Germany, it is based on a collaboration with the Supply Chain Management Group of the Department of Operations Management at the Cop- hagen Business School and the Department of Production Management at the Vienna University of Economics and Business Administration. We would like to thank all those who contributed to the workshop and this book.
Supply Chain Analytics and Modelling
| Author | : Nicoleta Tipi |
| Publisher | : Kogan Page Publishers |
| Total Pages | : 329 |
| Release | : 2021-04-03 |
| Genre | : Technology & Engineering |
| ISBN | : 0749498617 |
An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues. Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available.
Service Supply Chain Systems
| Author | : Tsan-Ming Choi |
| Publisher | : CRC Press |
| Total Pages | : 156 |
| Release | : 2018-05-27 |
| Genre | : |
| ISBN | : 9781138612204 |
Supply chain management is a well-developed area. The traditional supply chains are dynamic systems which include the forward and reverse flows of physical products and the related information and fund. However, a service supply chain is different because the real "product" may take the form of a "service" which implies that many traditionally crucial decisions in supply chain management such as product shipping problems are no longer important. Here, a service supply chain is defined as a supply network that transfers resources into services or servitised products, with or without physical products, to satisfy customer needs. As a result, managing a service supply chain system requires innovative strategies with new models. Currently, there is an absence of a comprehensive reference source that provides the state-of-the-art findings on this important topic. It will thus be significant to develop a well-balanced edited volume that includes both theoretical results (from different perspectives) and application cases/studies on service supply chain systems. This book is a pioneering text on service supply chain systems. It features papers which adopt the systems engineering approach in conducting service supply chain analysis. It includes both theoretical results (from different perspectives) and application cases/studies on service supply chain systems. It will be a good reference book for industrialists and academics who are interested in the service industry, service operations, service management, and service sciences.
