Quotation Hakimifar, Mohammadmehdi. 2017. Robust and Fuzzy Optimisation Models for a Flow shop Scheduling Problem with Sequence Dependent Setup Times: A real case study on a PCB assembly company. International Journal of Computer Integrated Manufacturing. 30 (6), 552-563.


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Abstract

In this paper, authors considered a flow shop scheduling problem with sequence dependent set-up times in an uncertain environment. Its objective function is to minimise weighted mean completion time. As for uncertainty, set-up and processing times are considered not to be deterministic. Authors propose two different approaches to deal with uncertainty of input data: robust optimisation (RO) and fuzzy optimisation. First, a deterministic mixed-integer linear programming model is presented for the general problem. Then, its robust counterpart of the proposed model is dealt with. Afterwards, the fuzzy flow shop model is developed. Moreover, a real case study on Tehran-Madar Company which is a producer of printed circuit board and OEMs is studied. Finally, a considerable discussion is held on comparison of all three approaches of namely deterministic, fuzzy and ROs based on some generated numerical examples.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal International Journal of Computer Integrated Manufacturing
Language English
Title Robust and Fuzzy Optimisation Models for a Flow shop Scheduling Problem with Sequence Dependent Setup Times: A real case study on a PCB assembly company
Volume 30
Number 6
Year 2017
Page from 552
Page to 563
Reviewed? Y
DOI http://dx.doi.org/10.1080/0951192X.2016.1187293
Open Access N

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People
Hakimifar, Mohammadmehdi (Details)
Organization
Institute for Transport and Logistics Management (Details)
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