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Service Parts Management

Service Parts Management PDF Author: Nezih Altay
Publisher: Springer Science & Business Media
ISBN: 0857290398
Category : Technology & Engineering
Languages : en
Pages : 315

Book Description
With the pressure of time-based competition increasing, and customers demanding faster service, availability of service parts becomes a critical component of manufacturing and servicing operations. Service Parts Management first focuses on intermittent demand forecasting and then on the management of service parts inventories. It guides researchers and practitioners in finding better management solutions to their problems and is both an excellent reference for key concepts and a leading resource for further research. Demand forecasting techniques are presented for parametric and nonparametric approaches, and multi echelon cases and inventory pooling are also considered. Inventory control is examined in the continuous and periodic review cases, while the following are all examined in the context of forecasting: • error measures, • distributional assumptions, and • decision trees. Service Parts Management provides the reader with an overview and a detailed treatment of the current state of the research available on the forecasting and inventory management of items with intermittent demand. It is a comprehensive review of service parts management and provides a starting point for researchers, postgraduate students, and anyone interested in forecasting or managing inventory.

Service Parts Management

Service Parts Management PDF Author: Nezih Altay
Publisher: Springer Science & Business Media
ISBN: 0857290398
Category : Technology & Engineering
Languages : en
Pages : 315

Book Description
With the pressure of time-based competition increasing, and customers demanding faster service, availability of service parts becomes a critical component of manufacturing and servicing operations. Service Parts Management first focuses on intermittent demand forecasting and then on the management of service parts inventories. It guides researchers and practitioners in finding better management solutions to their problems and is both an excellent reference for key concepts and a leading resource for further research. Demand forecasting techniques are presented for parametric and nonparametric approaches, and multi echelon cases and inventory pooling are also considered. Inventory control is examined in the continuous and periodic review cases, while the following are all examined in the context of forecasting: • error measures, • distributional assumptions, and • decision trees. Service Parts Management provides the reader with an overview and a detailed treatment of the current state of the research available on the forecasting and inventory management of items with intermittent demand. It is a comprehensive review of service parts management and provides a starting point for researchers, postgraduate students, and anyone interested in forecasting or managing inventory.

Call Center Forecasting and Scheduling

Call Center Forecasting and Scheduling PDF Author: Gerry Barber
Publisher: ICMI Press (International Customer Management Institute)
ISBN: 9780965909365
Category : Call centers
Languages : en
Pages : 103

Book Description
Call Center Forecasting & Scheduling There is simply no way to establish and operate an effective call center environment without a solid understanding of the principles behind forecasting, staffing, scheduling, service level, queuing dynamics and real-time management. Originally published in the pages of Call Center Management Review, these articles were selected for their educational value, practicality, and most importantly, coverage of timeless call center management principles. - Amazon

Managing Forecasting Services

Managing Forecasting Services PDF Author: Annele Eerola
Publisher:
ISBN:
Category : Business forecasting
Languages : en
Pages : 142

Book Description


Forecasting and Management of Technology

Forecasting and Management of Technology PDF Author: Alan L. Porter
Publisher: John Wiley & Sons
ISBN: 0470440902
Category : Technology & Engineering
Languages : en
Pages : 352

Book Description
Published in 1991, the first edition of Forecasting and Management of Technology was one of the leading handful of books to deal with the topic of forecasting of technology and technology management as this discipline was emerging. The new, revised edition of this book will build on this knowledge in the context of business organizations that now place a greater emphasis on technology to stay on the cutting edge of development. The scope of this edition has broadened to include management of technology content that is relevant to now to executives in organizations while updating and strengthening the technology forecasting and analysis content that the first edition is reputed for. Updated by the original author team, plus new author Scott Cunningham, the book takes into account what the authors see as the innovations to technology management in the last 17 years: the Internet; the greater focus on group decision-making including process management and mechanism design; and desktop software that has transformed the analytical capabilities of technology managers. Included in this book will be 5 case studies from various industries that show how technology management is applied in the real world.

Forecasting Fundamentals

Forecasting Fundamentals PDF Author: Nada Sanders
Publisher: Business Expert Press
ISBN: 1606498711
Category : Business & Economics
Languages : en
Pages : 110

Book Description
This book is for everyone who wants to make better forecasts. It is not about mathematics and statistics. It is about following a well-established forecasting process to create and implement good forecasts. This is true whether you are forecasting global markets, sales of SKUs, competitive strategy, or market disruptions. Today, most forecasts are generated using software. However, no amount of technology and statistics can compensate for a poor forecasting process. Forecasting is not just about generating a number. Forecasters need to understand the problems they are trying to solve. They also need to follow a process that is justifiable to other parties and be implemented in practice. This is what the book is about. Accurate forecasts are essential for predicting demand, identifying new market opportunities, forecasting risks, disruptions, innovation, competition, market growth and trends. Companies can navigate this daunting landscape and improve their forecasts by following some well-established principles. This book is written to provide the fundamentals business leaders need in order to make good forecasts. These fundamentals hold true regardless of what is being forecast and what technology is being used. It provides the basic foundational principles all companies need to achieve competitive forecast accuracy.

Advances in Business and Management Forecasting

Advances in Business and Management Forecasting PDF Author: Kenneth D. Lawrence
Publisher: JAI Press Incorporated
ISBN: 9780762312818
Category : Business & Economics
Languages : en
Pages : 318

Book Description
Aims to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. The topics in this title include: sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, and more.

Managing the Future

Managing the Future PDF Author: Stephen M. Millett
Publisher: Triarchy Press
ISBN: 1909470007
Category : Business & Economics
Languages : en
Pages : 288

Book Description
A guide to forecasting and strategic planning for organizations

Business Forecasting

Business Forecasting PDF Author: Michael Gilliland
Publisher: John Wiley & Sons
ISBN: 1119782473
Category : Business & Economics
Languages : en
Pages : 435

Book Description
Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

Sales Forecasting Management

Sales Forecasting Management PDF Author: John T. Mentzer
Publisher: SAGE
ISBN: 1452238391
Category : Business & Economics
Languages : en
Pages : 369

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.

Sales Forecasting Management

Sales Forecasting Management PDF Author: John T. Mentzer
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Business & Economics
Languages : en
Pages : 296

Book Description
Serving as a graduate level text as well as a guide for practitioners of sales forecasting management, this volume discuses the techniques and applications of sales forecasting analysis. Chapters cover managing the sales forecasting process; performance measurement; time- series forecasting techniqu