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A Comparative Study of Flow-Shop Algorithms

Operations Research, 1975
This paper describes an experimental comparison of flow-shop algorithms, motivated by the need to consolidate recent research on this topic. Using a set of test problems, it investigated various branch-and-bound and elimination strategies in a comparative study and then combined them to produce a new and efficient solution algorithm.
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The Robust Flow Shop

2012
In this chapter, job processing requirements are considered to be uncertain. They are no longer assumed to be deterministically known. One modeling approach would be to consider processing time probability distributions, and indeed this is done in a later chapter.
Hamilton Emmons, George Vairaktarakis
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Stochastic Flow Shops

2012
When job parameters are uncertain or unpredictable, new types of policies become possible. Besides static policies, we now should consider dynamic policies, with or without preemption. Objectives too have more variety. The makespan, for example, is now random; we usually choose to minimize its expectation.
Hamilton Emmons, George Vairaktarakis
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Flow Shop Scheduling

2019
Consider scheduling tasks on dedicated processors or machines. We assume that tasks belong to a set of n jobs, each of which is characterized by the same machine sequence.
Jacek Blazewicz   +5 more
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The Hybrid Flow Shop

2012
In this chapter we organize the literature on the hybrid flow shop scheduling problem that has appeared since the late 1950’s. We see a number of interesting and diverse industrial applications of this system, and find that the majority of research focuses on the makespan objective.
Hamilton Emmons, George Vairaktarakis
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Flexible Flow Shops

2012
We introduce four types of flexibility encountered in a flow shop: job routing through a hybrid shop, machine assignment, allocation of a scarce resource over the tasks to speed up processing, and the composition of daily production batches to satisfy requirements for a finite set of parts over a finite horizon.
Hamilton Emmons, George Vairaktarakis
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Flow-shop scheduling with a learning effect

Journal of the Operational Research Society, 2005
The paper is devoted to some flow-shop scheduling problems with a learning effect. The objective is to minimize one of the two regular performance criteria, namely, makespan and total flowtime. A heuristic algorithm with worst-case bound m for each criteria is given, where m is the number of machines. Furthermore, a polynomial algorithm is proposed for
Ji-Bo Wang, Z.-Q. Xia
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The No-Wait Flow Shop

2012
After describing some real-world examples of flow shops with no waiting, we demonstrate the equivalence of no-wait and blocking in the shop with m = 2. For the no-wait shop, some research is available on the flow time objective while the majority of research focuses on the makespan objective.
Hamilton Emmons, George Vairaktarakis
openaire   +1 more source

Hybrid flow-shop with adjustment

Kybernetika, 2011
Summary: The subject of this paper is a flow-shop based on a case study aimed at the optimisation of ordering production jobs in mechanical engineering, in order to minimize the overall processing time, the makespan. The production jobs are processed by machines, and each job is assigned to a certain machine for technological reasons. Before processing
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A Randomized Algorithm for Flow Shop Scheduling

1999
Shop scheduling problems are known to be notoriously intractable, both in theory and practice. In this paper we give a randomized approximation algorithm for flow shop scheduling where the number of machines is part of the input problem. Our algorithm has a multiplicative factor of 2(1 + δ) and an additive term of O(mln(m+ n)pmax)/δ2).
Naveen Garg 0001   +2 more
openaire   +1 more source

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