A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Production scheduling in modular construction: Metaheuristics and future directions
Abstract Modular construction (MC) is an increasingly important construction technique. However, it also requires the use of sophisticated scheduling algorithms. A comprehensive literature review of different scheduling systems used for prefabricated construction, was conducted using the PRISMA methodology. Over 500 relevant papers were analysed and 59 critical applications of production scheduling metaheuristics were closely examined. However, very few of these were for modular construction. This paper provides a deep analysis of GA applications in scheduling and the newer techniques using PSO, SA and ACO. The results of the review suggest 6 directions for future research namely, (i) Consideration of added complexities, (ii) Responsiveness of the scheduling system to new tenders or work, (iii) Integrating production scheduling with Manufacturing Execution and Control Systems, (iv) Dynamic scheduling, (v) Simulation-based optimization techniques for MC, (vi) Use of AI and machine learning concepts for MC. This paper will inform better production scheduling of MC projects.
Graphical abstract Display Omitted
Highlights There is a gap with little work on scheduling modular construction (MC) as opposed to precast concrete (PreC). Generic Algorithms is the most used metaheuristic in PreC scheduling, validation of the use of other metaheuristics is needed. Static scheduling is prominent but not effective in MC due to uncertainties that arise between the factory and the site. There needs to be more research linking the scheduling of MC at the factory with the construction site (destination). Artificial Intelligence and Neural Networks have the potential to provide useful frameworks for optimising MC scheduling.
Production scheduling in modular construction: Metaheuristics and future directions
Abstract Modular construction (MC) is an increasingly important construction technique. However, it also requires the use of sophisticated scheduling algorithms. A comprehensive literature review of different scheduling systems used for prefabricated construction, was conducted using the PRISMA methodology. Over 500 relevant papers were analysed and 59 critical applications of production scheduling metaheuristics were closely examined. However, very few of these were for modular construction. This paper provides a deep analysis of GA applications in scheduling and the newer techniques using PSO, SA and ACO. The results of the review suggest 6 directions for future research namely, (i) Consideration of added complexities, (ii) Responsiveness of the scheduling system to new tenders or work, (iii) Integrating production scheduling with Manufacturing Execution and Control Systems, (iv) Dynamic scheduling, (v) Simulation-based optimization techniques for MC, (vi) Use of AI and machine learning concepts for MC. This paper will inform better production scheduling of MC projects.
Graphical abstract Display Omitted
Highlights There is a gap with little work on scheduling modular construction (MC) as opposed to precast concrete (PreC). Generic Algorithms is the most used metaheuristic in PreC scheduling, validation of the use of other metaheuristics is needed. Static scheduling is prominent but not effective in MC due to uncertainties that arise between the factory and the site. There needs to be more research linking the scheduling of MC at the factory with the construction site (destination). Artificial Intelligence and Neural Networks have the potential to provide useful frameworks for optimising MC scheduling.
Production scheduling in modular construction: Metaheuristics and future directions
Peiris, Achini (author) / Hui, Felix Kin Peng (author) / Duffield, Colin (author) / Ngo, Tuan (author)
2023-03-21
Article (Journal)
Electronic Resource
English
Automated guided vehicles in modular integrated construction: potentials and future directions
| Emerald Group Publishing | 2020
| Wiley | 2017
| Springer Verlag | 2024