語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ subject:"Integer programming." ]
切換:
標籤
|
MARC模式
|
ISBD
Supply chain disruption management u...
~
Sawik, Tadeusz.
Supply chain disruption management using stochastic mixed integer programming
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Supply chain disruption management using stochastic mixed integer programmingby Tadeusz Sawik.
作者:
Sawik, Tadeusz.
出版者:
Cham :Springer International Publishing :2018.
面頁冊數:
xxx, 349 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Business logisticsData processing.
電子資源:
http://dx.doi.org/10.1007/978-3-319-58823-0
ISBN:
9783319588230$q(electronic bk.)
Supply chain disruption management using stochastic mixed integer programming
Sawik, Tadeusz.
Supply chain disruption management using stochastic mixed integer programming
[electronic resource] /by Tadeusz Sawik. - Cham :Springer International Publishing :2018. - xxx, 349 p. :ill., digital ;24 cm. - International series in operations research & management science,v.2560884-8289 ;. - International series in operations research & management science ;v. 140..
Chapter 1. Introduction -- Chapter 2. Selection of Static Supply Portfolio -- Chapter 3. Selection of Dynamic Supply Portfolio -- Chapter 4. Selection of Resilient Supply Portfolio -- Chapter 5. Integrated Selection of Supply Portfolio and Scheduling of Production -- Chapter 6. Integrated Selection of Supply Portfolio and Scheduling of Production and Distribution -- Chapter 7. A Fair Decision-Making under Disruption Risks -- Chapter 8. A Robust Decision-Making under Disruption Risks -- Chapter 9. Selection of Primary and Recovery Supply Portfolio and Scheduling -- Chapter 10. Selection of Primary and Recovery Supply and Demand Portfolios and Scheduling -- Chapter 11. Selection of Cybersecurity Safeguards Portfolio.
This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address risk-neutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on innovative, computationally efficient portfolio approaches to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc. Numerous computational examples throughout the book, modeled in part on real-world supply chain disruption management problems, illustrate the material presented and provide managerial insights. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an introductory chapter, the book is then divided into five main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply (and demand) portfolios and scheduling; and Part V addresses disruption management of information flows in supply chains.
ISBN: 9783319588230$q(electronic bk.)
Standard No.: 10.1007/978-3-319-58823-0doiSubjects--Topical Terms:
230874
Business logistics
--Data processing.
LC Class. No.: HD38.5 / .S29 2018
Dewey Class. No.: 658.500285
Supply chain disruption management using stochastic mixed integer programming
LDR
:03656nmm a2200337 a 4500
001
526533
003
DE-He213
005
20170630174146.0
006
m d
007
cr nn 008maaau
008
181012s2018 gw s 0 eng d
020
$a
9783319588230$q(electronic bk.)
020
$a
9783319588223$q(paper)
024
7
$a
10.1007/978-3-319-58823-0
$2
doi
035
$a
978-3-319-58823-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HD38.5
$b
.S29 2018
072
7
$a
KJT
$2
bicssc
072
7
$a
KJMD
$2
bicssc
072
7
$a
BUS049000
$2
bisacsh
082
0 4
$a
658.500285
$2
23
090
$a
HD38.5
$b
.S271 2018
100
1
$a
Sawik, Tadeusz.
$3
568684
245
1 0
$a
Supply chain disruption management using stochastic mixed integer programming
$h
[electronic resource] /
$c
by Tadeusz Sawik.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
xxx, 349 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
International series in operations research & management science,
$x
0884-8289 ;
$v
v.256
505
0
$a
Chapter 1. Introduction -- Chapter 2. Selection of Static Supply Portfolio -- Chapter 3. Selection of Dynamic Supply Portfolio -- Chapter 4. Selection of Resilient Supply Portfolio -- Chapter 5. Integrated Selection of Supply Portfolio and Scheduling of Production -- Chapter 6. Integrated Selection of Supply Portfolio and Scheduling of Production and Distribution -- Chapter 7. A Fair Decision-Making under Disruption Risks -- Chapter 8. A Robust Decision-Making under Disruption Risks -- Chapter 9. Selection of Primary and Recovery Supply Portfolio and Scheduling -- Chapter 10. Selection of Primary and Recovery Supply and Demand Portfolios and Scheduling -- Chapter 11. Selection of Cybersecurity Safeguards Portfolio.
520
$a
This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address risk-neutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on innovative, computationally efficient portfolio approaches to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc. Numerous computational examples throughout the book, modeled in part on real-world supply chain disruption management problems, illustrate the material presented and provide managerial insights. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using the end-of chapter problems and exercises, the monograph can also be used as a textbook for an advanced course in supply chain risk management. After an introductory chapter, the book is then divided into five main parts. Part I addresses selection of a supply portfolio; Part II considers integrated selection of supply portfolio and scheduling; Part III looks at integrated, equitably efficient selection of supply portfolio and scheduling; Part IV examines integrated selection of primary and recovery supply (and demand) portfolios and scheduling; and Part V addresses disruption management of information flows in supply chains.
650
0
$a
Business logistics
$x
Data processing.
$3
230874
650
0
$a
Integer programming.
$3
281590
650
1 4
$a
Business and Management.
$2
eflch
$3
639169
650
2 4
$a
Operation Research/Decision Theory.
$3
585050
650
2 4
$a
Supply Chain Management.
$3
737140
650
2 4
$a
Industrial and Production Engineering.
$3
273753
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
International series in operations research & management science ;
$v
v. 140.
$3
490892
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-58823-0
950
$a
Business and Management (Springer-41169)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000149252
電子館藏
1圖書
電子書
EB HD38.5 .S271 2018 2018
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-58823-0
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入