Study on Complex Products Job-shop Scheduling System Based on MES

Xiang SU, Hong-xia SUN, Chun-guang LIAN, Xi-ma YUE


Various random disturbances that happen in the process of complex products (ship) production cannot feedback timely, and the plans of job-shop operation are too rough to instruct job-shop production. The purpose of this study is to solve the problems above, help the course of complex products (ship) job-shop production runs orderly and efficiently, and improve the job-shop on-site management level. In this paper, we proposed complex products job-shop scheduling system based on MES. The system adopts six-level, refined plan and scheduling mechanism. Its key part is the job-shop scheduling model with man-machine coordinated mechanism. What’s more, an improved Genetic Algorithm based on TOC is proposed to make the optimized algorithm module of the system more scientific and effective.
Key words: Complex Products; MES; Job-shop Scheduling System; Man-machine Coordinated Mechanism; Genetic Algorithm
Résumé: Diverses perturbations qui se produisent au hasard dans le processus de production des produits complexes (navire) ne peuvent pas être apperçues en temps opportun, et les plans de l'opération des ateliers sont trop approximatifs pour guider la production. Le but de cette étude consiste à résoudre les problèmes ci-dessus, rendre le cours de la production des produits complexes (ship) dans les ateliers ordonné et efficace et améliorer le niveau de gestion sur place. Dans cet article, nous avons proposé le système de planning des ateliers de produits complexes basé sur MES. Le système contient six niveaux de programmation raffinée et de mécanismes de planning. Son élément essentiel est le modèle de programmation avec les mécanismes de coordination homme-machine. De plus, un algorithme génétique amélioré basé sur TOC est également proposé de rendre le module de l'algorithme du système optimisé plus scientifique et efficace.
Mots-clés: produits complexes; MES; système de planning des ateliers; mécanismes de coordination homme-machine; algorithme génétique
摘要:針對目前複雜產品(船舶)生產過程中所出現的各種隨機擾動不能得到及時回饋,以及車間作業計畫粗略難以直接指導車間生產的現狀,本文提出基於 MES的複雜產品車間作業調度系統。該系統採用逐層細化的五級計畫與調度機制,以人機協同的車間作業調度模型為核心,通過改進基於 TOC的遺傳演算法,使系統的演算法模組優化性能更具有科學性和操作性。該系統有助於實現複雜產品(船舶)車間生產過程的有序運作,從而提高生產車間的現場管理水準。
關鍵字:複雜產品; MES;車間作業調度;人機協同;遺傳演算法

Full Text:




  • There are currently no refbacks.

Copyright (c) 2010 Xiang SU, Hong-xia SUN, Chun-guang LIAN, Xi-ma YUE

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Share us to:   


  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

Online Submission:

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.
  • We only use four mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:;;;

 Articles published in Cross-Cultural Communication are licensed under Creative Commons Attribution 4.0 (CC-BY).


Address: 1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.
Telephone: 1-514-558 6138 
Website: Http://; Http://;

Copyright © Canadian Academy of Oriental and Occidental Culture