國立虎尾科技大學 |

Due Date-Related Scheduling with Two Agents = Models and Algorithms /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Due Date-Related Scheduling with Two Agents / by Yunqiang Yin, Dujuan Wang, T.C.E. Cheng.
Reminder of title:	Models and Algorithms /
Author:	Yin, Yunqiang.
other author:	Wang, Dujuan.
Description:	XIII, 187 p. 12 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Game theory. -
Online resource:	https://doi.org/10.1007/978-981-15-2105-8
ISBN:	9789811521058

Due Date-Related Scheduling with Two Agents = Models and Algorithms /
Yin, Yunqiang.

Due Date-Related Scheduling with Two Agents Models and Algorithms /[electronic resource] :by Yunqiang Yin, Dujuan Wang, T.C.E. Cheng. - 1st ed. 2020. - XIII, 187 p. 12 illus.online resource. - Uncertainty and Operations Research,2195-996X. - Uncertainty and Operations Research,.

Chapter1. Introduction to scheduling -- Chapter2. Computational complexity -- Chapter3. Scheduling problems with assignable due dates -- Chapter4. Scheduling problems with due date assignment -- Chapter5. Integrated production, inventory, and batch delivery scheduling with due date assignment -- Chapter6. Scheduling problems to maximize the weighted number of JIT jobs.

This book provides an introduction to the models, methods, and results of some due date-related scheduling problems in the field of multiagent scheduling. In multiagent scheduling, two or more agents share a common processing resource and each agent wants to optimize its own objective function with respect to its own set of jobs. Since the agents have conflicting objective functions, they have to negotiate among themselves with regard to sharing the common resource to optimize their own objective functions. A key feature of due date-related scheduling concerns the way in which due dates are considered: they can be given parameters or decision variables. For the former case, the motivation stems from the need to improve inventory and production management. For the latter case, due date assignment becomes a challenging issue since the decision-maker has to balance inventory holding costs against the benefits of fulfifilling orders in time. As for due dates, this book addresses the following three different scenarios: (i) The due dates of the jobs from either one or both of the two agents are decision variables, which are determined using some due date assignment models; (ii) The due dates of jobs in each job set are considered as given parameters, whereas which due date corresponds to a given job needs to determine; and (iii) The due date of each job is exogenously given. When the last case is involved, the objective function of each agent is related to the number of just-in-time jobs that are completed exactly on their due dates. For each considered scenario, depending on the model settings, and on the objective function of each agent, this book addresses the complexity, and the design of efficient exact or approximated algorithms. This book aims at introducing the author's research achievements in due date-related scheduling with two agents. It is written for researchers and Ph.D. students working in scheduling theory and other members of scientific community who are interested in recent scheduling models. Our goal is to enable the reader to know about some new achievements on this topic.

ISBN: 9789811521058

Standard No.: 10.1007/978-981-15-2105-8doiSubjects--Topical Terms:

556918
Game theory.

LC Class. No.: HB144

Dewey Class. No.: 519

Due Date-Related Scheduling with Two Agents = Models and Algorithms /
LDR:03954nam a22004215i 4500 001 1025118
003 DE-He213
005 20200630175954.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811521058 $9 978-981-15-2105-8
024 7 $a 10.1007/978-981-15-2105-8 $2 doi
035 $a 978-981-15-2105-8
050 4 $a HB144
050 4 $a QA269-272
072 7 $a PBUD $2 bicssc
072 7 $a MAT011000 $2 bisacsh
072 7 $a PBUD $2 thema
082 0 4 $a 519 $2 23
100 1 $a Yin, Yunqiang. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1314953
245 1 0 $a Due Date-Related Scheduling with Two Agents $h [electronic resource] : $b Models and Algorithms / $c by Yunqiang Yin, Dujuan Wang, T.C.E. Cheng.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XIII, 187 p. 12 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Uncertainty and Operations Research, $x 2195-996X
505 0 $a Chapter1. Introduction to scheduling -- Chapter2. Computational complexity -- Chapter3. Scheduling problems with assignable due dates -- Chapter4. Scheduling problems with due date assignment -- Chapter5. Integrated production, inventory, and batch delivery scheduling with due date assignment -- Chapter6. Scheduling problems to maximize the weighted number of JIT jobs.
520 $a This book provides an introduction to the models, methods, and results of some due date-related scheduling problems in the field of multiagent scheduling. In multiagent scheduling, two or more agents share a common processing resource and each agent wants to optimize its own objective function with respect to its own set of jobs. Since the agents have conflicting objective functions, they have to negotiate among themselves with regard to sharing the common resource to optimize their own objective functions. A key feature of due date-related scheduling concerns the way in which due dates are considered: they can be given parameters or decision variables. For the former case, the motivation stems from the need to improve inventory and production management. For the latter case, due date assignment becomes a challenging issue since the decision-maker has to balance inventory holding costs against the benefits of fulfifilling orders in time. As for due dates, this book addresses the following three different scenarios: (i) The due dates of the jobs from either one or both of the two agents are decision variables, which are determined using some due date assignment models; (ii) The due dates of jobs in each job set are considered as given parameters, whereas which due date corresponds to a given job needs to determine; and (iii) The due date of each job is exogenously given. When the last case is involved, the objective function of each agent is related to the number of just-in-time jobs that are completed exactly on their due dates. For each considered scenario, depending on the model settings, and on the objective function of each agent, this book addresses the complexity, and the design of efficient exact or approximated algorithms. This book aims at introducing the author's research achievements in due date-related scheduling with two agents. It is written for researchers and Ph.D. students working in scheduling theory and other members of scientific community who are interested in recent scheduling models. Our goal is to enable the reader to know about some new achievements on this topic.
650 0 $a Game theory. $3 556918
650 0 $a Economic theory. $3 809881
650 0 $a Social sciences. $3 572679
650 1 4 $a Game Theory, Economics, Social and Behav. Sciences. $3 669497
650 2 4 $a Economic Theory/Quantitative Economics/Mathematical Methods. $3 1069071
650 2 4 $a Methodology of the Social Sciences. $3 669263
700 1 $a Wang, Dujuan. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1314952
700 1 $a Cheng, T.C.E. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1321312
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811521041
776 0 8 $i Printed edition: $z 9789811521065
776 0 8 $i Printed edition: $z 9789811521072
830 0 $a Uncertainty and Operations Research, $x 2195-996X $3 1257516
856 4 0 $u https://doi.org/10.1007/978-981-15-2105-8
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)