Application of Hungarian Algorithm for assigning workers in a garment company / Rossidah Wan Abdul Aziz ... [et al.]

Abdul Aziz, Rossidah Wan and Zolkefli, Nur Illiyana and Yaakob, Hazirah and Zamri, Nursafura Basyira (2022) Application of Hungarian Algorithm for assigning workers in a garment company / Rossidah Wan Abdul Aziz ... [et al.]. Bulletin. UiTM Cawangan Negeri Sembilan Kampus Seremban.

Abstract

Textiles and garment sector is one of Malaysia's most important industries, contributing significantly to its GDP through exports earnings. To become a piece of clothing, it must go through four stages: designing, fabric cutting, sewing, and packaging. The sewing line consists of a set of workstations where each worker at the station performs one to several operations. In this study, we modelled the workers-jobs allocation for a garment manufacturing company that engaged in the production of school uniforms as an assignment problem. There is a limited number of studies that demonstrate the relevance of the assignment model in the garment industry. According to Wulan et al. (2019), there are four methods that can be used to solve the assignment problems, which are Transportation method, Simplex method, Enumeration method and Hungarian method. However, they claimed that the Hungarian method is the best method in obtaining the optimal solution. Therefore, this study demonstrated the usefulness of the assignment model in workers' assignment to tasks in the garment company, and the focus was to minimize the time taken of garment production through worker’s assignment using the Hungarian Algorithm.

Metadata

Item Type: Monograph (Bulletin)
Creators:
Creators
Email / ID Num.
Abdul Aziz, Rossidah Wan
UNSPECIFIED
Zolkefli, Nur Illiyana
`
Yaakob, Hazirah
UNSPECIFIED
Zamri, Nursafura Basyira
UNSPECIFIED
Subjects: A General Works > AP Periodicals
P Language and Literature > PN Literature (General)
Q Science > QA Mathematics > Mathematical statistics. Probabilities
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Journal or Publication Title: Mathematics in Applied Research
ISSN: 2811-4027
Keywords: Hungarian Algorithm, assignment workers, jobs allocation, garments production
Date: May 2022
URI: https://ir.uitm.edu.my/id/eprint/68880
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