A Study on the Scheduling of Dyeing Processing Production Based on Genetic Algorithm 


Vol. 46,  No. 1, pp. 192-200, Jan.  2021
10.7840/kics.2021.46.1.192


PDF Full-Text
  Abstract

The dyeing processing industry is characterized by changes in the preparation time of follow-up work depending on the preceding working conditions, which can greatly change the completion time according to the sequence of work. In addition, the dyeing process, which is a key process in the dyeing processing industry, consists of a parallel dyeing machine with different capacities and there are various work assignment methods. However, the production site does not take into account complex constraints and it’s production plan is divided by each process. which is established on the knowledge and experience of the workers working in each process. This study presented a production scheduling method that minimizes work completion time by solving the problem with scheduling the process with varying work preparation time according to work order and assigning work of the dyeing process with capacity constraints through genetic algorithm. The methodology proposed in this paper is expandable to various manufacturing industries with capacity-constrained parallel processes.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

S. Kim, S. Park, Y. Yoon, H. Oh, "A Study on the Scheduling of Dyeing Processing Production Based on Genetic Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 1, pp. 192-200, 2021. DOI: 10.7840/kics.2021.46.1.192.

[ACM Style]

Seung-hyeon Kim, Sang-eon Park, Young-seog Yoon, and Hyun-woo Oh. 2021. A Study on the Scheduling of Dyeing Processing Production Based on Genetic Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 46, 1, (2021), 192-200. DOI: 10.7840/kics.2021.46.1.192.

[KICS Style]

Seung-hyeon Kim, Sang-eon Park, Young-seog Yoon, Hyun-woo Oh, "A Study on the Scheduling of Dyeing Processing Production Based on Genetic Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 1, pp. 192-200, 1. 2021. (https://doi.org/10.7840/kics.2021.46.1.192)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880