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Author: Alexandre Medeiros Rodrigues
Publisher:
ISBN:
Category : Business logistics
Languages : en
Pages : 340
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Book Description
Author: Alexandre Medeiros Rodrigues
Publisher:
ISBN:
Category : Business logistics
Languages : en
Pages : 340
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Book Description
Author: Shai Dekel (S. M.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 111
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Book Description
Mismatches between forecasted and actual demand, for construction, repair and maintenance work in a regulated utility, is a growing risk for the performance of the supply chain. High target service levels and high levels of demand uncertainties necessitate Inventory Management to maintain a significant amount of safety stock to buffer against uncertainties. Furthermore, the increasing complex of supply chains make it difficult to anticipate possible effects changes, such as improved forecasting or policy changes. In this thesis we propose an innovative approach for demand forecasting by creating a predictive model based on identifed patterns of repair and maintenance projects underlying the demand data. We further present a unique approach to simulate an overall supply chain, using locally available data, giving the supply chain the ability to evaluate the implications of improved forecasting on the overall network. Through the improved methodology the supply chain can reduce the amount of noise in the data and create a forecast based on data that better represents the real demand. The proposed method improves on current forecasting methods by reducing forecasting noise, such as bullwhip and human error, by tying the forecast for material demand to the forecast of the source of the demand. To do so, we use unsupervised clustering K-means to identify similar consumption behaviors in the data. We further propose the use of a time-series analysis and hierarchical forecast aggregation for the creation of the final forecast, although this will not be the focus of this thesis. Although the results of the clustering process were inconclusive, we present data that supports the validity of out premise and propose alternative algorithms that could produce superior results. In addition we propose a supply chain network simulation to validate the model and valuate its affects. We use the model to emulate the possible effects of forecast improvements on the overall supply chain.
Author: Youqin Pan
Publisher:
ISBN:
Category : Business logistics
Languages : en
Pages : 122
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Book Description
Author: Patrik Jonsson
Publisher:
ISBN: 9780077117382
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
"Logistics and Supply Chain Management" is a comprehensive new text that explains the fundamentals of the subject so that the student understands the 'game rules' goals and objectives when designing, planning and controlling efficient and effective logistics systems in supply chains. It also includes coverage of information technology, the impact of manufacturing and product structures on logistics and supply chain systems, and the environment. Designed specifically with the student in mind, this book is the perfect companion for introductory courses in logistics and supply chain management. The key features are: the book contains many mini cases to illustrate current practice and key concepts defined and described in the book; discussion tasks have been included to help facilitate effective learning and provide reinforcement; a comprehensive glossary has been included at the end of the book; key terms are defined at the end of each chapter; where appropriate, quantitative examples and exercises have been included to help students understand planning and control concepts and analysis tools; and, full solutions are provided in appendix.
Author: Shawn Rocco Jones
Publisher:
ISBN:
Category : Business logistics
Languages : en
Pages : 322
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Book Description
Author: Mayolo Alberto López Castellanos
Publisher: BoD – Books on Demand
ISBN: 3844102094
Category : Business & Economics
Languages : en
Pages : 298
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Book Description
In today's global business environment, the intense competition, the changing and uncertain conditions, and the increasing customer's requirements are challenges for the companies' operational efficiency and profitability. In this context, companies highlight the importance of supply chain design and its holistic understanding in order to achieve and sustain competitive strengths. This book analyses supply chains as complex systems, whose performance is characterized by their structural configuration and emergent behaviour. The author analyses the supply chain structure and behaviour within the scope of complexity science. He focuses on supply chain complexity by means of a literature review and an empirical research, which give insights into the impact of complexity on supply chain performance. Moreover, within this book the supply chain is modelled as a complex system by considering the non-linear relationships of its geo-positioned elements. Finally, an agent based model is developed for the generic supply chain simulation, which allows assessing the impact of complexity on supply chain performance and characterizing the behaviour of supply chain designs. The materials presented in this book contribute to the understanding and management of supply chain complexity. This work complements existing complexity frameworks with a holistic analysis of complexity's impact on the performance of supply chain participants and their network. The findings of this work are relevant for researchers interested in characterizing supply chain phenomena by enabling them to model supply chain structures and to simulate their emergent behaviour. Practitioners can benefit from the provided model and simulation platform by allowing them to dynamically assess the performance of their supply chain designs and strategy definitions. By these means, they improve their decision-making and business profitability. In all, this book contributes towards the development of artificial intellig
Author: John T. Mentzer
Publisher: SAGE
ISBN: 1452238391
Category : Business & Economics
Languages : en
Pages : 369
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Book Description
Incorporating 25 years of sales forecasting management research with more than 400 companies, Sales Forecasting Management, Second Edition is the first text to truly integrate the theory and practice of sales forecasting management. This research includes the personal experiences of John T. Mentzer and Mark A. Moon in advising companies how to improve their sales forecasting management practices. Their program of research includes two major surveys of companies′ sales forecasting practices, a two-year, in-depth study of sales forecasting management practices of 20 major companies, and an ongoing study of how to apply the findings from the two-year study to conducting sales forecasting audits of additional companies. The book provides comprehensive coverage of the techniques and applications of sales forecasting analysis, combined with a managerial focus to give managers and users of the sales forecasting function a clear understanding of the forecasting needs of all business functions. New to This Edition: The author′s well-regarded Multicaster software system demo, previously available on cassette, has been updated and is now available for download from the authors′ Web site New insights on the critical area of qualitative forecasting are presented The results of additional surveys done since the publication of the first edition have been added The discussion of the four dimensions of forecasting management has been significantly enhanced Significant reorganization and updating has been done to strengthen and improve the material for the second edition. Sales Forecasting Management is an ideal text for graduate courses in sales forecasting management. Practitioners in marketing, sales, finance/accounting, production/purchasing, and logistics will also find this easy-to-understand volume essential.
Author: Larry J. LeBlanc
Publisher:
ISBN:
Category :
Languages : en
Pages : 22
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Book Description
We examine a situation where a manufacturer operates in a two-mode production environment. The first mode could involve overseas vendors and manufacturing facilities. If additional units are later required, the company must use its second mode - more expensive last-minute domestic vendors and manufacturing sites. We develop a new methodology for analyzing the impact of forecast accuracy on the decision to postpone production. We examine the interaction of forecast accuracy, shortage vs. holding costs, transportation costs and the cost of postponing production in this supply chain of a single product facing uncertain demand. Our model can be used to analyze the cost of important changes, such as increasing forecast accuracy, reducing the cost of backorders, lowering the cost of delaying production, or lowering transportation costs. Our model allows a firm to understand its overall cost structure so that it can accurately evaluate the impact of improved forecast accuracy and lowered costs in the context of postponement.
Author: C. Carl Pegels
Publisher: IAP
ISBN: 1607527553
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
Proven Solutions for Improving Supply Chain Performance is a collection of about 175 descriptions of scientific management studies in the management of supply chains. Each one of the descriptions of the scientific studies is presented in readable and understandable form for individuals who probably have not had the statistical and scientific education and training to fully understand the underlying studies. The book is significantly different from the popular management literature, which is generally based on “armchair” theories that have little basis on fact, and seldom have been scientifically verified. Although the book is targeted for the supply chain manager/administrator, it can also be used as a supplementary reader in such courses as Operations Management, Service Systems Management, Manufacturing Management, Purchasing Management, and, of course, in Supply Chain Management courses.
Author: John E. Boylan
Publisher: John Wiley & Sons
ISBN: 1119135303
Category : Medical
Languages : en
Pages : 403
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Book Description
INTERMITTENT DEMAND FORECASTING The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting Intermittent Demand Forecasting is for anyone who is interested in improving forecasts of intermittent demand products, and enhancing the management of inventories. Whether you are a practitioner, at the sharp end of demand planning, a software designer, a student, an academic teaching operational research or operations management courses, or a researcher in this field, we hope that the book will inspire you to rethink demand forecasting. If you do so, then you can contribute towards significant economic and environmental benefits. No prior knowledge of intermittent demand forecasting or inventory management is assumed in this book. The key formulae are accompanied by worked examples to show how they can be implemented in practice. For those wishing to understand the theory in more depth, technical notes are provided at the end of each chapter, as well as an extensive and up-to-date collection of references for further study. Software developments are reviewed, to give an appreciation of the current state of the art in commercial and open source software. “Intermittent demand forecasting may seem like a specialized area but actually is at the center of sustainability efforts to consume less and to waste less. Boylan and Syntetos have done a superb job in showing how improvements in inventory management are pivotal in achieving this. Their book covers both the theory and practice of intermittent demand forecasting and my prediction is that it will fast become the bible of the field.” —Spyros Makridakis, Professor, University of Nicosia, and Director, Institute for the Future and the Makridakis Open Forecasting Center (MOFC). “We have been able to support our clients by adopting many of the ideas discussed in this excellent book, and implementing them in our software. I am sure that these ideas will be equally helpful for other supply chain software vendors and for companies wanting to update and upgrade their capabilities in forecasting and inventory management.” —Suresh Acharya, VP, Research and Development, Blue Yonder. “As product variants proliferate and the pace of business quickens, more and more items have intermittent demand. Boylan and Syntetos have long been leaders in extending forecasting and inventory methods to accommodate this new reality. Their book gathers and clarifies decades of research in this area, and explains how practitioners can exploit this knowledge to make their operations more efficient and effective.” —Thomas R. Willemain, Professor Emeritus, Rensselaer Polytechnic Institute.
