Huiwen Wang , Florence Y.Y. Ling , Wen Yi , Albert P.C. Chan
{"title":"Integrated operation centers for storage and repair of imported precast modules","authors":"Huiwen Wang , Florence Y.Y. Ling , Wen Yi , Albert P.C. Chan","doi":"10.1016/j.autcon.2024.105815","DOIUrl":null,"url":null,"abstract":"<div><div>Modular construction is recognized as a promising solution to the pressing housing demands of densely populated cities. However, temporary storage of modules in urban environments and the risk of damage during transportation present significant supply chain challenges. Some governments have begun investing in integrated operation centers (IOCs) to provide module storage and repair services. However, there lacks an effective planning framework for IOC establishment and operation. This paper formulates a bi-level programming model that comprehensively considers land availability, budget limitation, and government–contractor interactions. A particle swarm optimization based algorithm is developed and validated through a Hong Kong case study. Computational experiments provide governments with valuable managerial implications regarding IOC investment budget, number and locations of IOCs, and services provided by IOCs. Overall, the proposed models, solutions, and recommendations are expected to facilitate the just-in-time cross-border delivery of precast modules in densely populated cities.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":null,"pages":null},"PeriodicalIF":9.6000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S092658052400551X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Modular construction is recognized as a promising solution to the pressing housing demands of densely populated cities. However, temporary storage of modules in urban environments and the risk of damage during transportation present significant supply chain challenges. Some governments have begun investing in integrated operation centers (IOCs) to provide module storage and repair services. However, there lacks an effective planning framework for IOC establishment and operation. This paper formulates a bi-level programming model that comprehensively considers land availability, budget limitation, and government–contractor interactions. A particle swarm optimization based algorithm is developed and validated through a Hong Kong case study. Computational experiments provide governments with valuable managerial implications regarding IOC investment budget, number and locations of IOCs, and services provided by IOCs. Overall, the proposed models, solutions, and recommendations are expected to facilitate the just-in-time cross-border delivery of precast modules in densely populated cities.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.