CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12594 > Article
Paper
29 March 2023 Design optimization of material distribution for mixed model assembly line based on production scheduling sequence
Lu Jiang
Author Affiliations +
Proceedings Volume 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022); 125940D (2023) https://doi.org/10.1117/12.2671275
Event: Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 2022, Xi'an, China
Abstract
Under the production mode of multi variety and small batch, different types of products on the mixed model assembly line involve different operation procedures, assembly time and required parts, and the time and quantity of material distribution are different. The quality of the material distribution scheme affects the production progress of the whole mixed model assembly. Based on the real-time production information, this paper combines the scheduling sequence of mixed model assembly line with the material distribution scheme, establishes the mathematical model of material distribution based on the scheduling sequence, controls the logistics of mixed model assembly line in the production process through the scheduling optimization results, realizes the timely and accurate distribution of materials, and maintains the efficient operation of the assembly line.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Lu Jiang "Design optimization of material distribution for mixed model assembly line based on production scheduling sequence", Proc. SPIE 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 125940D (29 March 2023); https://doi.org/10.1117/12.2671275
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 12 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Mathematical modeling
Systems modeling
Materials processing
Mathematical optimization
Genetic algorithms
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top