Full Product Details
Author: Nezih Altay ,
Lewis A. Litteral
Publisher: Springer London Ltd
Imprint: Springer London Ltd
Edition: 2011 ed.
Dimensions:
Width: 15.50cm
, Height: 1.80cm
, Length: 23.50cm
Weight: 0.504kg
ISBN: 9781447158332
ISBN 10: 1447158334
Pages: 311
Publication Date: 29 August 2014
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
From the reviews: Service Parts Management: Demand Forecasting and Inventory Control covers a wide spectrum of relevant issues on spare parts management. With contributions from some of the most active researchers in this field, the book provides a great foundation for academics who want to explore this field in detail and offers useful advice to managers. In conclusion, the book offers practitioners and researchers a reasonably complete and good overview of relevant issues in spare parts management. (Ruud Teunter, Interfaces, Vol. 42 (1), January-February, 2012)
Author Information
Nezih Altay is Associate Professor of Operations Management. He holds a PhD in Operations Management from Texas A&M University and an MBA from the University of Texas – Pan American. His research focusing on forecasting and inventory control of spare parts has been highlighted in major academic conferences and published in leading journals, such as the International Journal of Production Economics. His work in this area resulted in a Royal Society grant through which he started new projects on the management of spare parts with colleagues in the UK. Currently in the USA, he is in collaboration with the Defense Logistics Agency on improving service parts forecasts and inventory control. Dr. Altay sits on the editorial boards of Production and Inventory Management Journal and the International Journal of Services Sciences, and is an active member of APICS, POMS, DSI, ISM, and INFORMS. Lewis A. Litteral is a member of the faculty of the University of Richmond. He holds a PhD in Management Science from Clemson University, where he also earned a Master of Science degree in mathematical sciences with a concentration in statistics. He currently teaches courses in statistical analysis although he has taught a wide variety of other quantitative courses over the past 30 years. His current research interests include enterprise resource planning, forecasting intermittent demand, and statistical quality control. The common thread in this work is that it all lies at the intersection of information technology and operations management. His work in these areas has been published by various journals including Production and Inventory Management, Quality Engineering, the International Journal of Production Economics and the International Journal of Quality and Standards. Prior to beginning an academic career, he was employed by a large building materials supply company where his positions included all aspects ofoperations management, as well as sales.
