Coverart for item
The Resource Demand Forecasting for Inventory Control, by Nick T. Thomopoulos, (electronic resource)

Demand Forecasting for Inventory Control, by Nick T. Thomopoulos, (electronic resource)

Label
Demand Forecasting for Inventory Control
Title
Demand Forecasting for Inventory Control
Statement of responsibility
by Nick T. Thomopoulos
Creator
Author
Subject
Language
eng
Summary
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.--
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Thomopoulos, Nick T
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
Za2f_PbiJ50
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Springer eBooks.
http://library.link/vocab/subjectName
  • Operations research
  • Decision making
  • Production management
Label
Demand Forecasting for Inventory Control, by Nick T. Thomopoulos, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-3-319-11976-2
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
978-3-319-11976-2
Dimensions
unknown
Edition
1st ed. 2015.
Extent
1 online resource (XIII, 183 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319119762
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-11976-2
Other physical details
28 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)897810282
Label
Demand Forecasting for Inventory Control, by Nick T. Thomopoulos, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-3-319-11976-2
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
978-3-319-11976-2
Dimensions
unknown
Edition
1st ed. 2015.
Extent
1 online resource (XIII, 183 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783319119762
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-11976-2
Other physical details
28 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)897810282

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