Relevant bibliographies by topics / Resequencing buffer

Academic literature on the topic 'Resequencing buffer'

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Published: 10 March 2023

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Journal articles on the topic "Resequencing buffer"

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CHAKRAVARTHY, SRINIVAS R., and STEFANKA CHUKOVA. "A FINITE CAPACITY RESEQUENCING MODEL WITH MARKOVIAN ARRIVALS." Asia-Pacific Journal of Operational Research 22, no. 03 (September 2005): 409–43. http://dx.doi.org/10.1142/s0217595905000613.

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In this paper, we consider a two-server finite capacity queuing model in which messages should leave the system in the order in which they entered the system. Messages arrive according to a Markovian arrival process (MAP) and any message finding the buffer full is considered lost. Out-of-sequence messages are stored in a (finite) buffer and may lead to blocking when a processed message cannot be placed in the buffer. The steady state analysis of the model is performed by exploiting the structure of the coefficient matrices. The departure process is characterized and two interesting optimization problems along with illustrative numerical examples are discussed.
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Farber, Gerrit, Said Salhi, and Anna M. Coves Moreno. "SEQUENCING IN A NON-PERMUTATION FLOWSHOP WITH CONSTRAINED BUFFERS: APPLICABILITY OF GENETIC ALGORITH VERSUS CONSTRAINT LOGIC PROGRAMMING." Dirección y Organización, no. 35 (June 1, 2008): 69–78. http://dx.doi.org/10.37610/dyo.v0i35.58.

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Mixed model production lines consider more than one model being processed on the same production line in an arbitrary sequence. Nevertheless, the majority of publications in this area are limited to solutions which determine the job sequence before the jobs enter the line and maintains it without interchanging jobs until the end of the production line, which is known as permutation flowshop. This paper considers a nonpermutation flowshop. Resequencing is permitted where stations have access to intermediate or centralized resequencing buffers. The access to the buffers is restricted by the number of available buffer places and the physical size of the products. Two conceptually different approaches are presented in order to solve the problem. The first approach is a hybrid approach, using Constraint Logic Programming (CLP), whereas the second one is a Genetic Algorithm (GA). Improvements that come with the introduction of constrained resequencing buffers are highlighted. Characteristics such as the difference between the intermediate and the centralized case are analyzed, and the special case of semi dynamic demand is studied. Finally, recommendations are presented for the applicability of the hybrid approach, using CLP, versus the Genetic Algorithm.
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Rosberg, Z., and N. Shacham. "Resequencing delay and buffer occupancy under the selective-repeat ARQ." IEEE Transactions on Information Theory 35, no. 1 (1989): 166–73. http://dx.doi.org/10.1109/18.42186.

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Bae, Yun Han, Bara Kim, Bong Dae Choi, and Jeongsim Kim. "Tail asymptotic behaviour of resequencing buffer content for selective repeat ARQ." Operations Research Letters 39, no. 4 (July 2011): 272–77. http://dx.doi.org/10.1016/j.orl.2011.04.009.

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Xu, Susan H. "On a job resequencing issue in parallel processor stochastic scheduling." Advances in Applied Probability 24, no. 4 (December 1992): 915–33. http://dx.doi.org/10.2307/1427719.

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In flexible assembly systems, it is often necessary to coordinate jobs and materials so that specific jobs are matched with specific materials. This requires that jobs depart from upstream parallel workstations in some predetermined order. One way to satisfy this requirement is to temporarily hold the serviced jobs getting out of order at a resequencing buffer and to release them to downstream workstations as soon as all their predecessors are serviced. In this paper we consider the problem of scheduling a fixed number of non-preemptive jobs on two IHR non-identical processors with the resequencing requirement. We prove that the individually optimal policy, in which each job minimizes its own expected departure time subject to the constraint that available processors are offered to jobs in their departure order, is of a threshold type. The policy is independent of job weights and the jobs residing at the resequencing buffer and possesses the monotonicity property which states that a job will never utilize a processor in the future once it has declined the processor. Most importantly, we prove that the individually optimal policy has the stability property; namely: if at any time a job deviated from the individually optimal policy, then the departure time of every job, including its own, would be prolonged. As a direct consequence of this property, the individually optimal policy is socially optimal in the sense that it minimizes the expected total weighted departure time of the system as a whole. We identify situations under which the individually optimal policy also minimizes the expected makespan of the system.
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Xu, Susan H. "On a job resequencing issue in parallel processor stochastic scheduling." Advances in Applied Probability 24, no. 04 (December 1992): 915–33. http://dx.doi.org/10.1017/s0001867800025015.

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In flexible assembly systems, it is often necessary to coordinate jobs and materials so that specific jobs are matched with specific materials. This requires that jobs depart from upstream parallel workstations in some predetermined order. One way to satisfy this requirement is to temporarily hold the serviced jobs getting out of order at a resequencing buffer and to release them to downstream workstations as soon as all their predecessors are serviced. In this paper we consider the problem of scheduling a fixed number of non-preemptive jobs on two IHR non-identical processors with the resequencing requirement. We prove that the individually optimal policy, in which each job minimizes its own expected departure time subject to the constraint that available processors are offered to jobs in their departure order, is of a threshold type. The policy is independent of job weights and the jobs residing at the resequencing buffer and possesses the monotonicity property which states that a job will never utilize a processor in the future once it has declined the processor. Most importantly, we prove that the individually optimal policy has the stability property; namely: if at any time a job deviated from the individually optimal policy, then the departure time of every job, including its own, would be prolonged. As a direct consequence of this property, the individually optimal policy is socially optimal in the sense that it minimizes the expected total weighted departure time of the system as a whole. We identify situations under which the individually optimal policy also minimizes the expected makespan of the system.
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Shacham, N., and D. Towsley. "Resequencing delay and buffer occupancy in selective repeat ARQ with multiple receivers." IEEE Transactions on Communications 39, no. 6 (June 1991): 928–37. http://dx.doi.org/10.1109/26.87182.

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Chakravarthy, S., S. Chukova, and B. Dimitrov. "Analysis of MAP/M/2/K queueing model with infinite resequencing buffer." Performance Evaluation 31, no. 3-4 (January 1998): 211–28. http://dx.doi.org/10.1016/s0166-5316(96)00067-3.

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Takine, Tetsuya, Jing-Fei ren, and Toshiharu Hasegawa. "Analysis of the resequencing buffer in a homogeneous M/M/2 queue." Performance Evaluation 19, no. 4 (April 1994): 353–66. http://dx.doi.org/10.1016/0166-5316(94)90047-7.

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Gunay, Elif Elcin, and Ufuk Kula. "A stochastic programming model for resequencing buffer content optimisation in mixed-model assembly lines." International Journal of Production Research 55, no. 10 (September 2016): 2897–912. http://dx.doi.org/10.1080/00207543.2016.1227101.

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Dissertations / Theses on the topic "Resequencing buffer"

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Caraccio, Ilaria. "Performance analysis of queueing systems with resequencing." Doctoral thesis, Universita degli studi di Salerno, 2016. http://hdl.handle.net/10556/2192.

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2014 - 2015
The service sector lies at the heart of industrialized nations and continues to serve as a major contributor to the world economy. Over the years, the service industry has given rise to an enor- mous amount of technological, scienti c, and managerial chal- lenges. Among all challenges, operational service quality, service efficiency, and the tradeoffs between the two have always been at the center of service managers' attention and are likely to be so more in the future. Queueing theory attempts to address these challenges from a mathematical perspective. Every service station of a queueing network is characterized by two major components: the external arrival process and the service process. The external arrival process governs the timing of service request arrivals to that station from outside, and the service process concerns the duration of service transactions in that station... [edited by author]
XIV n.s.
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Book chapters on the topic "Resequencing buffer"

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Razumchik, Rostislav, and Miklós Telek. "Delay Analysis of Resequencing Buffer in Markov Environment with HOQ-FIFO-LIFO Policy." In Computer Performance Engineering, 53–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66583-2_4.

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Färber, Gerrit, Said Salhi, and Anna M. Coves Moreno. "Semi-dynamic Demand in a Non-permutation Flowshop with Constrained Resequencing Buffers." In Large-Scale Scientific Computing, 536–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78827-0_61.

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You might also be interested in the extended bibliographies on the topic 'Resequencing buffer' for particular source types:
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