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Management Science
Article . 1983 . Peer-reviewed
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Flow Shop Problems with Time Lags

Flow shop problems with time lags
Authors: Wlodzimierz Szwarc;

Flow Shop Problems with Time Lags

Abstract

This paper defines a model that covers the multimachine extensions of all existing flow-shop problems with time lags as well as flow-shop problems where setup, processing and release times are separated. Approximate solutions and lower completion time bounds are developed for the restricted and unrestricted cases.

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Keywords

lower completion time bounds, Deterministic scheduling theory in operations research, extension of the classical flow shop problem, flow shop, queues: deterministic, mathematics: combinatorics [production/scheduling], time lags, approximate solutions

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Average
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