Lot streaming with detached setups in three-machine flow shops

Jiang, Chen; Steiner, George

doi:10.1016/s0377-2217(96)00091-4

Cited by 42 publications

(9 citation statements)

References 19 publications

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“…[9] develop directly the continuous solution to minimize the makespan for a single job in a three-stage production process, by analyzing the structure of the optimal solution. These results are extended by Chen and Steiner, in [6] and [7], to the case with detached and attached job setup times. Cetinkaya and Gupta [4] solve the continuous lot streaming problem for a single job in a flow shop with the total flow time criterion.…”

Section: Introductionmentioning

confidence: 65%

Discrete Lot Streaming In Two-Machine Flow Shops

Chen

Steiner

1999

INFOR: Information Systems and Operational Research

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Section: Introductionmentioning

confidence: 65%

Discrete Lot Streaming In Two-Machine Flow Shops

Chen

Steiner

1999

INFOR: Information Systems and Operational Research

Self Cite

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“…Years later, no-wait condition was added to the problem (Wagneur, 2001). Other authors extended to the case containing detached (Chen & Steiner, 1997a) and attached (Chen & Steiner, 1998) setup times. For the case of m/1/C/CV, it was extended a previous work (Sriskandarajah & Wagneur, 1999) and it was used genetic algorithm (GA) to solve problems in which fixed and variable numbers of sublots for each product were included (Kumar, Bagchi & Sriskandarajah, 2000).…”

Section: Lot Streaming In M-stage Flow Shopmentioning

confidence: 99%

A review of lot streaming in a flow shop environment with makespan criteria

Gómez-Gasquet

Segura-Andrés

Romano

2013

JIEM

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Abstract:Purpose: This paper reviews current literature and contributes a set of findings that capture the current state-of-the-art of the topic of lot streaming in a flow-shop.Design/methodology/approach: A literature review to capture, classify and summarize the main body of knowledge on lot streaming in a flow-shop with makespan criteria and, translate this into a form that is readily accessible to researchers and practitioners in the more mainstream production scheduling community. Findings:The existing knowledge base is somewhat fragmented. This is a relatively unexplored topic within mainstream operations management research and one which could provide rich opportunities for further exploration.Originality/value: This paper sets out to review current literature, from an advanced production scheduling perspective, and contributes a set of findings that capture the current state-of-the-art of this topic.

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“…The primary objective of these papers is to determine the optimal lot streaming procedure in order to minimize either the process batch makespan (e.g. Chen and Steiner 1996, Chen and Steiner 1998, Cheng et al 2000, mean transfer batch flow time (Kalir and Sarin 2001, Sen et al 1998, Bukchin et al 2002, Van Nieuwenhuyse and Vandaele 2004, or a combination of both (Bukchin and Masin 2004) in such an environment.…”

Section: Introductionmentioning

confidence: 99%

Analysis of gap times in a two-stage stochastic flowshop with overlapping operations

Nieuwenhuyse¹,

Vandaele

2006

IIE Transactions

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The impact of transfer batching (also referred to as lot splitting) on the performance of flowshops has received widespread attention in the literature. Most papers have emphasized the usefulness of lot splitting in cutting down average flow times, as it enables the overlapping of operations at different stages of the flowshop. However, as most analytical papers have studied deterministic flowshops, an important downside of lot splitting has until now been overlooked: i.e., the occurrence of idle times between the processing of consecutive sublots belonging to the same process batch (referred to as gap times). Clearly, gap times add no value to the product: they merely increase the process batch makespan at the different stages. In deterministic systems, these gap times may be avoided by synchronizing the processing rates of the different machines in the shop; in stochastic settings however, they may occur even when the system is perfectly synchronized, due to the inherent variability in the setup and processing times. Studying a two-stage flowshop with a single product type, this paper provides insight into the behavior of the gap times, and develops an approximation for the process batch makespan at the second stage in terms of the system characteristics and the lot splitting policy.

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Lot streaming with detached setups in three-machine flow shops

Cited by 42 publications

References 19 publications

Discrete Lot Streaming In Two-Machine Flow Shops

Discrete Lot Streaming In Two-Machine Flow Shops

A review of lot streaming in a flow shop environment with makespan criteria

Analysis of gap times in a two-stage stochastic flowshop with overlapping operations

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