@misc{10818/43453,
year = {2017},
month = {2},
url = {http://hdl.handle.net/10818/43453},
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.},
publisher = {International Journal of Industrial Engineering Computations},
keywords = {Uncertainties},
keywords = {Flow-shop},
title = {Flow-shop scheduling problem under uncertainties: Review and trends},
doi = {10.5267/j.ijiec.2017.2.001},
author = {González Neira, Eliana María and Montoya Torres, Jairo Rafael and Barrera, David},
}