000			03269nam a22004335i 4500
003			DE-He213
005			20151013141915.0
007			cr nn 008mamaa
008			141204s2015 gw | s |||| 0|eng d
020			_a9783319119762 _9978-3-319-11976-2
024	7		_a10.1007/978-3-319-11976-2 _2doi
050		4	_aHD30.23
072		7	_aKJT _2bicssc
072		7	_aKJMD _2bicssc
072		7	_aBUS049000 _2bisacsh
082	0	4	_a658.40301 _223
100	1		_aThomopoulos, Nick T. _eauthor.
245	1	0	_aDemand Forecasting for Inventory Control _h[electronic resource] / _cby Nick T. Thomopoulos.
260		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_aXIII, 183 p. 28 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- 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			_aThis 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	_aEconomics.
650		0	_aOperations research.
650	1	4	_aEconomics/Management Science.
650	2	4	_aOperation Research/Decision Theory.
650	2	4	_aProduction/Logistics/Supply Chain Management.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319119755
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-11976-2
912			_aZDB-2-SBE
942			_2ddc _cEBOOK
999			_c3159 _d3159