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Scheduling Optimization Modelling: A Case Study of a Woven Label Manufacturing Company

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datacite.subject.fos oecd::Social sciences
dc.contributor.author Chia-Nan Wang
dc.contributor.author Zhao-Hong Cheng
dc.contributor.author Nguyen Ky Phuc Phan
dc.contributor.author Van Thanh Nguyen
dc.date.accessioned 2022-11-02T00:48:09Z
dc.date.available 2022-11-02T00:48:09Z
dc.date.issued 2021
dc.description.abstract Production scheduling involves all activities of building production schedules, including coordinating and assigning activities to each person, group of people, or machine and arranging work orders in each workplace. Production scheduling must solve all problems such as minimizing customer wait time, storage costs, and production time; and effectively using the enterprise’s human resources. This paper studies the application of flexible job shop modelling on scheduling a woven labelling process. The labelling process includes several steps which are handled in different work-stations. Each workstation is also comprised of several identical parallel machines. In this study, job splitting is allowed so that the power of work stations can be utilized better. The final objective is to minimize the total completion time of all jobs. The results show a significant improvement since the new planning may save more than 60% of lead time compared to the current schedule. The contribution of this research is to propose a flexible job shop model for scheduling a woven labelling process. The proposed approach can also be applied to support complex production scheduling processes under fuzzy environments in different industries. A practical case study demonstrates the effectiveness of the proposed model.
dc.identifier.doi 10.32604/csse.2021.016578
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/545
dc.language.iso en_US
dc.relation.ispartof Computer Systems Science and Engineering
dc.relation.issn 0267-6192
dc.subject "Flexible job shop scheduling
dc.subject Woven labelling
dc.subject Garment industry
dc.subject Optimization
dc.subject Production scheduling"
dc.title Scheduling Optimization Modelling: A Case Study of a Woven Label Manufacturing Company
dc.type journal-article
dspace.entity.type Publication
oaire.citation.issue 2
oaire.citation.volume 38
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Journal Articles - Social and Behaviour Science - 2021