國立虎尾科技大學 |

Modeling discrete competitive facility location

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modeling discrete competitive facility location/ by Athanasia Karakitsiou.
作者:	Karakitsiou, Athanasia.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	ix, 54 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Industrial location - Decision making -
電子資源:	http://dx.doi.org/10.1007/978-3-319-21341-5
ISBN:	9783319213415

Modeling discrete competitive facility location
Karakitsiou, Athanasia.

Modeling discrete competitive facility location[electronic resource] /by Athanasia Karakitsiou. - Cham :Springer International Publishing :2015. - ix, 54 p. :ill., digital ;24 cm. - SpringerBriefs in optimization,2190-8354. - SpringerBriefs in optimization..

1. Introduction -- 2. Static competitive facility location models -- 3. Sequential competitive facility location models -- 4. Simultaneous competitive facility location models -- 5. Competitive facility location with competition of customers.

This book presents an up-to-date review of modeling and optimization approaches for location problems along with a new bi-level programming methodology which captures the effect of competition of both producers and customers on facility location decisions. While many optimization approaches simplify location problems by assuming decision making in isolation, this monograph focuses on models which take into account the competitive environment in which such decisions are made. New insights in modeling, algorithmic and theoretical possibilities are opened by this approach and new applications are possible. Competition on equal term plus competition between market leader and followers are considered in this study, consequently bi-level optimization methodology is emphasized and further developed. This book provides insights regarding modeling complexity and algorithmic approaches to discrete competitive location problems. In traditional location modeling, assignment of customer demands to supply sources are made for which the associated costs target the firm and not the customers, though in many real world situations the cost is incurred by the customers. Moreover, there may be customer competition for the provided services. Thus, a new methodological framework is needed in order to encompass such considerations into the modeling and solution process. This book offers initial directions for further research and development along these lines. Aimed toward graduate students and researchers in the field of mathematics, computer science, operational research and game theory, this title provides necessary information on which further research contributions can be based.

ISBN: 9783319213415

Standard No.: 10.1007/978-3-319-21341-5doiSubjects--Topical Terms:

1067998
Industrial location
--Decision making

LC Class. No.: HD58 / .K37 2015

Dewey Class. No.: 338.6042

Modeling discrete competitive facility location
LDR:02930nam a2200325 a 4500 001 837280
003 DE-He213
005 20160309161636.0
006 m d
007 cr nn 008maaau
008 160421s2015 gw s 0 eng d
020 $a 9783319213415 $q (electronic bk.)
020 $a 9783319213408 $q (paper)
024 7 $a 10.1007/978-3-319-21341-5 $2 doi
035 $a 978-3-319-21341-5
040 $a GP $c GP
041 0 $a eng
050 4 $a HD58 $b .K37 2015
072 7 $a PBU $2 bicssc
072 7 $a MAT003000 $2 bisacsh
082 0 4 $a 338.6042 $2 23
090 $a HD58 $b .K18 2015
100 1 $a Karakitsiou, Athanasia. $3 1067395
245 1 0 $a Modeling discrete competitive facility location $h [electronic resource] / $c by Athanasia Karakitsiou.
260 $a Cham : $c 2015. $b Springer International Publishing : $b Imprint: Springer,
300 $a ix, 54 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in optimization, $x 2190-8354
505 0 $a 1. Introduction -- 2. Static competitive facility location models -- 3. Sequential competitive facility location models -- 4. Simultaneous competitive facility location models -- 5. Competitive facility location with competition of customers.
520 $a This book presents an up-to-date review of modeling and optimization approaches for location problems along with a new bi-level programming methodology which captures the effect of competition of both producers and customers on facility location decisions. While many optimization approaches simplify location problems by assuming decision making in isolation, this monograph focuses on models which take into account the competitive environment in which such decisions are made. New insights in modeling, algorithmic and theoretical possibilities are opened by this approach and new applications are possible. Competition on equal term plus competition between market leader and followers are considered in this study, consequently bi-level optimization methodology is emphasized and further developed. This book provides insights regarding modeling complexity and algorithmic approaches to discrete competitive location problems. In traditional location modeling, assignment of customer demands to supply sources are made for which the associated costs target the firm and not the customers, though in many real world situations the cost is incurred by the customers. Moreover, there may be customer competition for the provided services. Thus, a new methodological framework is needed in order to encompass such considerations into the modeling and solution process. This book offers initial directions for further research and development along these lines. Aimed toward graduate students and researchers in the field of mathematics, computer science, operational research and game theory, this title provides necessary information on which further research contributions can be based.
650 0 $a Industrial location $x Decision making $x Mathematical models. $3 1067998
650 0 $a Industrial location $x Mathematical models. $3 669629
650 1 4 $a Mathematics. $3 527692
650 2 4 $a Discrete Optimization. $3 1019327
650 2 4 $a Game Theory/Mathematical Methods. $3 669508
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 669172
650 2 4 $a Algorithms. $3 527865
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in optimization. $3 883718
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-21341-5
950 $a Mathematics and Statistics (Springer-11649)