Study on cooperative scheduling control method of bulk cargo terminal

Xuelin Wang; Hankun Shi; Ning Lu

doi:10.1117/12.2673370

3 April 2023 Study on cooperative scheduling control method of bulk cargo terminal

Xuelin Wang, Hankun Shi, Ning Lu

Proceedings Volume 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022); 125991H (2023) https://doi.org/10.1117/12.2673370
Event: 2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022), 2022, Chendgu, China

Abstract

This paper aims at the problems of unclear scheduling model and low intelligence in the scheduling technology of bulk cargo terminals, analyzes the business process and characteristics of bulk cargo terminals based on the current situation and demand of the scheduling business of bulk cargo terminals, according to the actual scheduling characteristics and use rules of the berths and yards of bulk cargo terminals, and combined with the characteristics of complex coordination factors between the berths and yards of bulk cargo terminals, A multi resource collaborative scheduling model of bulk cargo terminal based on particle swarm optimization algorithm is proposed, and the algorithm is analyzed. This paper also proposes an optimization scheme for bulk cargo terminal scheduling.

Citation Download Citation

Xuelin Wang, Hankun Shi, and Ning Lu "Study on cooperative scheduling control method of bulk cargo terminal", Proc. SPIE 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022), 125991H (3 April 2023); https://doi.org/10.1117/12.2673370

ACCESS THE FULL ARTICLE

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