國立虎尾科技大學 |

Demand forecasting for inventory control

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Demand forecasting for inventory control/ by Nick T. Thomopoulos.
作者:	Thomopoulos, Nick T.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xiii, 183 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Business forecasting. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-11976-2
ISBN:	9783319119762 (electronic bk.)

Demand forecasting for inventory control
Thomopoulos, Nick T.

Demand forecasting for inventory control[electronic resource] /by Nick T. Thomopoulos. - Cham :Springer International Publishing :2015. - xiii, 183 p. :ill., digital ;24 cm.

Introduction -- Demand History -- Horizontal Forecasts -- Trend Forecasts -- Seasonal Forecasts -- Promotion Forecasts -- Multi SKU Forecasts -- Forecast Sensitivity -- Filtering Outliers -- Standard Normal and Truncated Normal Distributions -- Safety Stock -- Auxiliary Forecasts.

This book describes the methods used to forecast the demands at inventory holding locations. The methods are proven, practical and doable for most applications, and pertain to demand patterns that are horizontal, trending, seasonal, promotion and multi-sku. The forecasting methods include regression, moving averages, discounting, smoothing, two-stage forecasts, dampening forecasts, advance demand forecasts, initial forecasts, all time forecasts, top-down, bottom-up, raw and integer forecasts, Also described are demand history, demand profile, forecast error, coefficient of variation, forecast sensitivity and filtering outliers. The book shows how the forecasts with the standard normal, partial normal and truncated normal distributions are used to generate the safety stock for the availability and the percent fill customer service methods. The material presents topics that people want and should know in the work place. The presentation is easy to read for students and practitioners; there is little need to delve into difficult mathematical relationships, and numerical examples are presented throughout to guide the reader on applications. Practitioners will be able to apply the methods learned to the systems in their locations, and the typical worker will want the book on their bookshelf for reference. The potential market is vast. It includes everyone in professional organizations like APICS, DSI and INFORMS; MBA graduates, people in industry, and students in management science, business and industrial engineering.

ISBN: 9783319119762 (electronic bk.)

Standard No.: 10.1007/978-3-319-11976-2doiSubjects--Topical Terms:

585528
Business forecasting.

LC Class. No.: HD30.27

Dewey Class. No.: 658.40355

Demand forecasting for inventory control
LDR:02773nam a2200325 a 4500 001 835548
003 DE-He213
005 20150730113216.0
006 m d
007 cr nn 008maaau
008 160421s2015 gw s 0 eng d
020 $a 9783319119762 (electronic bk.)
020 $a 9783319119755 (paper)
024 7 $a 10.1007/978-3-319-11976-2 $2 doi
035 $a 978-3-319-11976-2
040 $a GP $c GP
041 0 $a eng
050 4 $a HD30.27
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
082 0 4 $a 658.40355 $2 23
090 $a HD30.27 $b .T466 2015
100 1 $a Thomopoulos, Nick T. $3 891555
245 1 0 $a Demand forecasting for inventory control $h [electronic resource] / $c by Nick T. Thomopoulos.
260 $a Cham : $c 2015. $b Springer International Publishing : $b Imprint: Springer,
300 $a xiii, 183 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Demand History -- Horizontal Forecasts -- Trend Forecasts -- Seasonal Forecasts -- Promotion Forecasts -- Multi SKU Forecasts -- Forecast Sensitivity -- Filtering Outliers -- Standard Normal and Truncated Normal Distributions -- Safety Stock -- Auxiliary Forecasts.
520 $a This book describes the methods used to forecast the demands at inventory holding locations. The methods are proven, practical and doable for most applications, and pertain to demand patterns that are horizontal, trending, seasonal, promotion and multi-sku. The forecasting methods include regression, moving averages, discounting, smoothing, two-stage forecasts, dampening forecasts, advance demand forecasts, initial forecasts, all time forecasts, top-down, bottom-up, raw and integer forecasts, Also described are demand history, demand profile, forecast error, coefficient of variation, forecast sensitivity and filtering outliers. The book shows how the forecasts with the standard normal, partial normal and truncated normal distributions are used to generate the safety stock for the availability and the percent fill customer service methods. The material presents topics that people want and should know in the work place. The presentation is easy to read for students and practitioners; there is little need to delve into difficult mathematical relationships, and numerical examples are presented throughout to guide the reader on applications. Practitioners will be able to apply the methods learned to the systems in their locations, and the typical worker will want the book on their bookshelf for reference. The potential market is vast. It includes everyone in professional organizations like APICS, DSI and INFORMS; MBA graduates, people in industry, and students in management science, business and industrial engineering.
650 0 $a Business forecasting. $3 585528
650 0 $a Supply and demand. $3 977545
650 0 $a Inventory control. $3 599703
650 1 4 $a Economics/Management Science. $3 669170
650 2 4 $a Operation Research/Decision Theory. $3 881408
650 2 4 $a Production/Logistics/Supply Chain Management. $3 784569
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-11976-2
950 $a Business and Economics (Springer-11643)