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Growing Science » International Journal of Industrial Engineering Computations » Flow-shop scheduling problem under uncertainties: Review and trends

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 8 Issue 4 pp. 399-426 , 2017

Flow-shop scheduling problem under uncertainties: Review and trends Pages 399-426 Right click to download the paper Download PDF

Authors: Eliana María González-Neira, Jairo R. Montoya-Torres, David Barrera

DOI: 10.5267/j.ijiec.2017.2.001

Keywords: Flow shop, Flexible flow shop, Uncertainties, Stochastic, Fuzzy, Production logistics, Review

Abstract: Among the different tasks in production logistics, job scheduling is one of the most important at the operational decision-making level to enable organizations to achieve competiveness. Scheduling consists in the allocation of limited resources to activities over time in order to achieve one or more optimization objectives. Flow-shop (FS) scheduling problems encompass the sequencing processes in environments in which the activities or operations are performed in a serial flow. This type of configuration includes assembly lines and the chemical, electronic, food, and metallurgical industries, among others. Scheduling has been mostly investigated for the deterministic cases, in which all parameters are known in advance and do not vary over time. Nevertheless, in real-world situations, events are frequently subject to uncertainties that can affect the decision-making process. Thus, it is important to study scheduling and sequencing activities under uncertainties since they can cause infeasibilities and disturbances. The purpose of this paper is to provide a general overview of the FS scheduling problem under uncertainties and its role in production logistics and to draw up opportunities for further research. To this end, 100 papers about FS and flexible flow-shop scheduling problems published from 2001 to October 2016 were analyzed and classified. Trends in the reviewed literature are presented and finally some research opportunities in the field are proposed.

How to cite this paper
González-Neira, E., Montoya-Torres, J & Barrera, D. (2017). Flow-shop scheduling problem under uncertainties: Review and trends.International Journal of Industrial Engineering Computations , 8(4), 399-426.

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Journal: International Journal of Industrial Engineering Computations | Year: 2017 | Volume: 8 | Issue: 4 | Views: 5726 | Reviews: 0

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