語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Managing intermittent demand
~
SpringerLink (Online service)
Managing intermittent demand
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Managing intermittent demand/ by Torben Engelmeyer.
作者:
Engelmeyer, Torben.
出版者:
Wiesbaden :Springer Fachmedien Wiesbaden : : 2016.,
面頁冊數:
xv, 157 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Inventory control - Mathematical models. -
電子資源:
http://dx.doi.org/10.1007/978-3-658-14062-5
ISBN:
9783658140625
Managing intermittent demand
Engelmeyer, Torben.
Managing intermittent demand
[electronic resource] /by Torben Engelmeyer. - Wiesbaden :Springer Fachmedien Wiesbaden :2016. - xv, 157 p. :ill., digital ;24 cm.
Classification Approaches to Identify Intermittent Demand Series -- Consistent Forecast-Based Inventory Model -- Extensive Comparison of the Inventory Performance Among Different Forecast/Inventory Model Combinations.
This work aims to increase the service level and to reduce the inventory costs by combining the forecast and inventory model into one consistent forecast-based inventory model. This new model is based on the prediction of the future probability distribution by assuming an integer-valued autoregressive process as demand process. The developed algorithms can be used to identify, estimate, and predict the demand as well as optimize the inventory decision of intermittent demand series. In an extensive simulation study the new model is compared with a wide range of conventional forecast/inventory model combinations. By using the consistent approach, the mean inventory level is lowered whereas the service level is increased. Additionally, a modern multi-criteria inventory classification scheme is presented to distinguish different demand series clusters. Contents Classification Approaches to Identify Intermittent Demand Series Consistent Forecast-Based Inventory Model Extensive Comparison of the Inventory Performance Among Different Forecast/Inventory Model Combinations Target Group Students and researchers interested in business analytics and operations management Inventory managers and supply chain experts The Author Dr. Torben Engelmeyer works as a research assistant at the chair of International Economics - University of Wuppertal, Germany.
ISBN: 9783658140625
Standard No.: 10.1007/978-3-658-14062-5doiSubjects--Topical Terms:
884512
Inventory control
--Mathematical models.
LC Class. No.: HF5386
Dewey Class. No.: 650
Managing intermittent demand
LDR
:02485nam a2200313 a 4500
001
864079
003
DE-He213
005
20161020110438.0
006
m d
007
cr nn 008maaau
008
170720s2016 gw s 0 eng d
020
$a
9783658140625
$q
(electronic bk.)
020
$a
9783658140618
$q
(paper)
024
7
$a
10.1007/978-3-658-14062-5
$2
doi
035
$a
978-3-658-14062-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HF5386
072
7
$a
KJMV
$2
bicssc
072
7
$a
BUS087000
$2
bisacsh
082
0 4
$a
650
$2
23
090
$a
HF5386
$b
.E57 2016
100
1
$a
Engelmeyer, Torben.
$3
1108680
245
1 0
$a
Managing intermittent demand
$h
[electronic resource] /
$c
by Torben Engelmeyer.
260
$a
Wiesbaden :
$b
Springer Fachmedien Wiesbaden :
$b
Imprint: Springer Gabler,
$c
2016.
300
$a
xv, 157 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Classification Approaches to Identify Intermittent Demand Series -- Consistent Forecast-Based Inventory Model -- Extensive Comparison of the Inventory Performance Among Different Forecast/Inventory Model Combinations.
520
$a
This work aims to increase the service level and to reduce the inventory costs by combining the forecast and inventory model into one consistent forecast-based inventory model. This new model is based on the prediction of the future probability distribution by assuming an integer-valued autoregressive process as demand process. The developed algorithms can be used to identify, estimate, and predict the demand as well as optimize the inventory decision of intermittent demand series. In an extensive simulation study the new model is compared with a wide range of conventional forecast/inventory model combinations. By using the consistent approach, the mean inventory level is lowered whereas the service level is increased. Additionally, a modern multi-criteria inventory classification scheme is presented to distinguish different demand series clusters. Contents Classification Approaches to Identify Intermittent Demand Series Consistent Forecast-Based Inventory Model Extensive Comparison of the Inventory Performance Among Different Forecast/Inventory Model Combinations Target Group Students and researchers interested in business analytics and operations management Inventory managers and supply chain experts The Author Dr. Torben Engelmeyer works as a research assistant at the chair of International Economics - University of Wuppertal, Germany.
650
0
$a
Inventory control
$x
Mathematical models.
$3
884512
650
0
$a
Inventories
$x
Management.
$3
1108681
650
1 4
$a
Business and Management.
$2
eflch
$3
934826
650
2 4
$a
Logistics.
$3
643936
650
2 4
$a
Supply Chain Management.
$3
1102107
650
2 4
$a
Operation Research/Decision Theory.
$3
881408
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-658-14062-5
950
$a
Business and Management (Springer-41169)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入