Optimization of production schedules of multi-plants for dispatching ready-mix concrete trucks by integrating grey wolf optimizer and dragonfly algorithm

PurposeThe paper aims to provide an efficient dispatching schedule for ready-mix concrete (RMC) trucks and create a balance between batch plants and construction sites.Design/methodology/approachThe paper focused on developing a new metaheuristic swarm intelligence algorithm using Java code. The pap...

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Bibliographic Details
Published in:Engineering, construction, and architectural management construction, and architectural management, 2024-11, Vol.31 (11), p.4602-4624
Main Authors: Pham, Vu Hong Son, Trang, Nguyen Thi Nha, Dat, Chau Quang
Format: Article
Language:English
Subjects:
Animal behavior
Concrete mixing
Construction sites
Cooperation
Foraging behavior
Genetic algorithms
Global positioning systems
GPS
Heuristic methods
Optimization algorithms
Optimization techniques
Particle swarm optimization
Plant layout
Production scheduling
Random variables
Ready mixed concrete
Schedules
Search algorithms
Simulation
Supply chains
Swarm intelligence
Tabu search
Trucks
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Summary:PurposeThe paper aims to provide an efficient dispatching schedule for ready-mix concrete (RMC) trucks and create a balance between batch plants and construction sites.Design/methodology/approachThe paper focused on developing a new metaheuristic swarm intelligence algorithm using Java code. The paper used statistical criterion: mean, standard deviation, running time to verify the effectiveness of the proposed optimization method and compared its derivatives with other algorithms, such as genetic algorithm (GA), Tabu search (TS), bee colony optimization (BCO), ant lion optimizer (ALO), grey wolf optimizer (GWO), dragonfly algorithm (DA) and particle swarm optimization (PSO).FindingsThe paper proved that integrating GWO and DA yields better results than independent algorithms and some selected algorithms in the literature. It also suggests that multi-independent batch plants could effectively cooperate in a system to deliver RMC to various construction sites.Originality/valueThe paper provides a compelling new hybrid swarm intelligence algorithm and a model allowing multi-independent batch plants to work in a system to deliver RMC. It fulfills an identified need to study how batch plant managers can expand their dispatching network, increase their competitiveness and improve their supply chain operations.
ISSN:0969-9988
1365-232X
DOI:10.1108/ECAM-12-2022-1176