4 edition of On the n-job, one-machine, sequence-independent scheduling problem with tardiness penalties found in the catalog.
|Statement||by Joel Shwimer.|
|Series||Massachusetts Institute of Technology. Alfred P. Sloan School of Management. Working papers -- 465-70, Working paper (Sloan School of Management) -- 465-70.|
|The Physical Object|
|Number of Pages||54|
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1/^_—/n onthen-job,one-machine,sequence-independent schedulingproblemwithtardinesspenalties: abranch-boundsolution* joelshwimer/ may massachusetts. To read this book online, your options are Join Forgotten Books 1, books Unlimited reading Dedicated support Small monthly fee Click here to learn more Continue as guest Some pages are restricted.
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Minimizing the total tardiness is one of the most important criteria in single machine scheduling and it is a NP-hard implicit enumeration techniques such as branch-and-bound,, dynamic programming,,, dominance rules, and decomposition,, have been proposed for the static total tardiness problem.
Table 1 provides a brief summary of the Cited by: J. SHWIMER, On the N-Job, One-Machine, Sequence-Independent Scheduling Problem with Tardiness Penalties: a Branch-and-Bound Solution, Man.
Sci. 18 () B– MathSciNet Google Scholar Cited by: A simple mixed integer programming model for the N job/single machine scheduling problem with possibly sequence-dependent setup times, differing. We investigate and justify the efficiency of PSC-algorithm for solving the NP-hard in the strong sense scheduling problem of the total weighted tardiness of jobs minimization on one machine.
Shanthikumar, J.G., "Scheduling n jobs on one machine to minimize the maximum tardiness with minimum tardy", Computers and Operations Research 10/3 ()  Shwimer, J., "On the n-job, one-machine, sequence independent scheduling problem with tardiness penalties.
A branch and bound solution", Management Science 18/6 ().Cited by: 3. On the N-Job, One-Machine, Sequence-Independent Scheduling Problem with Tardiness Penalties: A Branch-Bound Solution. Management Science 18(6), () CrossRef MathSciNet Google Scholar Cited by: 1. Management Science; Manufacturing & Service Operations Management; On the N-Job One-Machine, Sequence-Independent Scheduling Problem with Tardiness Penalties: A Branch-Bound Solution.
Joel Shwimer. Pages: B–B Published Online: February 1, Joel Shwimer, "On the N-Job One-Machine, Sequence-Independent Scheduling Problem with Tardiness Penalties: A Branch-Bound Solution," Management Science, INFORMS, vol. 18(6), pagesFebruary. Jianzhong Du & Joseph Y.-T.
Leung, Cited by: J. Shwimer () On the N-job, one-machine, sequence-independent scheduling problem with tardiness penalties: a branch-and-bound solution. Management Sci. Cited by: "On Scheduling Tasks with Associated Linear Loss Functions," Management Science, INFORMS, vol.
7(3), pagesApril. Joel Shwimer, "On the N-Job One-Machine, Sequence-Independent Scheduling Problem with Tardiness Penalties: A Branch-Bound Solution," Management Science, INFORMS, vol.
18(6), pagesFebruary. If you have an individual subscription to this content, or if you have purchased this content through Pay Per Article within the past 24 hours, you can gain access by logging in with your username and password here.
Bonnes affaires job machine. Découvrez nos prix bas job machine et bénéficiez de 5% minimum remboursés sur votre achat. scheduling problem in which the solutions are driven by business inputs, such as the cost of the product transitions, revenue loss due to the machine idle time and earliness/tardiness penalty.
And then, a new hybrid scatter search algorithm is proposed to solve the cost driven job-shop scheduling problem by introducing the simulated. Shwimer () Shwimer J On the N-job one-machine, sequence-independent scheduling problem with tardiness penalties: A branch-bound solution Mngt Sci 18 B B /mnscB uses this lower bound in his branch and bound algorithm, but with a lookahead mechanism in which the smallest lower bound of all potential child nodes is Cited by: 55 Flow Shop Scheduling 2.
n jobs and 3 machines (Johnson's Algorithm)/ Extension of Johnson’s Rule Procedure: Step I: check for the conditions to be satisfied If min ti1 ≥ max ti2 ; 6=6 or if min ti3 ≥ max ti2 ; 4n Job 3 –Machine algorithm. Full text of "Multiprocessor Scheduling Theory and Applications" See other formats.
Shwimer J. On the n-job one machine sequence-independent scheduling problem with tardiness penalties // Management Science. - V p. Smith W.E. Various optimizers for single stage production // Naval Research Logistics Quarterly.
- V - R Srinivasan V. Shwimer J. On the n-job one machine sequence-independent scheduling problem with tardiness penalties 11 Management Science.
- V - p. Smith W.E. Various optimizers for single stage production // Naval Research Logistics Quarterly. - V - P. Srinivasan V. Outline of the Book This book focuses on both the theory and the applications of scheduling. The theoretical side deals with the detailed sequencing and scheduling of jobs.
Given a collection of jobs requiring processing in a certain machine environment, the problem is to sequence these jobs, subject to given constraints, in such a way that. On the N-Job, One-Machine, Sequence-Independent Scheduling Problem With Tardiness Penalties A Branch-Bound Solution by Joel Shwimer The Letters of Joseph Ritson, Esq.
by Joseph Ritson Vol. 2 of 2. похожие документы 2 (2) doc Кб ВКРБ ПрилЕ Отзыв на ВКРБ Рефераты doc 35 Кб. Preface This is a book about scheduling algorithms.
The ﬁrst such algorithms were formulated in the mid ﬁfties. We assume that this set-up time is the same for all batches and sequence independent.
A batching problem is to group the jobs into batches and to schedule these batches. An optimal solution of this one machine problem is. 享vip专享文档下载特权; 赠共享文档下载特权; w优质文档免费下载; 赠百度阅读vip精品版; 立即开通Read: For an n-job m-machine job-shop scheduling problem, a chromosome is formed of m subchromosomes, each for one machine.
Each subchromosome is a string of symbols with length n, and each symbol identifying an operation that has to be processed on the relevant machine. The scheduling evaluation uses a prediction function (pf) that considers the migration costs and works following the concept of a BSP superstep (Bonorden, ).
The lowest forecast value indicates the most proﬁtable plan for process rescheduling. This book chapter aims to describe AutoMig in details. Full text of "MICAI Advances in artificial intelligence: Mexican International Conference on Artificial Intelligence, Acapulco, Mexico, April proceedings" See other formats.
Scheduling Theory, Algorithms, and Systems Fifth Edition Scheduling They may depend on the accuracy of the model used for the analysis of the actual scheduling problem and on the reliability of the input data that are needed.
then on machine 2, and so on. After completion on one machine a job joins the queue at the next machine. Usually.