Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)

A Continuous Time Scheduling Model for Printing and Dyeing Plants

Authors
Qi Zhang, Hong Mei, Chunyang Zhao, Xiaohui Zhou
Corresponding Author
Hong Mei
Available Online December 2019.
DOI
10.2991/mmsta-19.2019.4How to use a DOI?
Keywords
printing & dyeing; productiong process; scheduling; mathematical programming
Abstract

Domestically, virtually very little has been done in this area in the printing and dyeing production process scheduling, while some work using dispatch rule for modeling and solution is reported abroad. In this paper, a mathematical model is presented to describe the printing & dyeing production process scheduling, According to features of printing and dyeing production process. Based on the authentic data coming from a printing & dyeing enterprise and mathematical programming, a case study is provided. The programming solution shows the simulation result is correct.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
Series
Advances in Computer Science Research
Publication Date
December 2019
ISBN
978-94-6252-856-7
ISSN
2352-538X
DOI
10.2991/mmsta-19.2019.4How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qi Zhang
AU  - Hong Mei
AU  - Chunyang Zhao
AU  - Xiaohui Zhou
PY  - 2019/12
DA  - 2019/12
TI  - A Continuous Time Scheduling Model for Printing and Dyeing Plants
BT  - Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
PB  - Atlantis Press
SP  - 16
EP  - 20
SN  - 2352-538X
UR  - https://doi.org/10.2991/mmsta-19.2019.4
DO  - 10.2991/mmsta-19.2019.4
ID  - Zhang2019/12
ER  -