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Systematic search and mapping review of the concrete delivery problem (CDP): Formulations, objectives, and data
Multiobjective Optimization REsearch Lab (MORE Lab), Department of Electrical Engineering & Computer Engineering, Faculty of Engineering, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID iD: 0000-0002-1319-513X
Multiobjective Optimization REsearch Lab (MORE Lab), Department of Electrical Engineering & Computer Engineering, Faculty of Engineering, Université de Sherbrooke, Sherbrooke, QC, Canada.
2023 (English)In: Automation in Construction, ISSN 0926-5805, E-ISSN 1872-7891, Vol. 145, article id 104631Article, review/survey (Refereed) Published
Abstract [en]

Over the last decades, researchers have studied one of the most complex combinatorial problems, i.e., the Concrete Delivery Problem (CDP), set different formulations of it, considered several objectives, and suggested various approaches. But no work has gathered this information to facilitate the comprehensive study of the CDP and investigate the research paths taken until today. Using a systematic search and mapping review, this paper fills that gap by (a) performing a comprehensive search on the CDP, and (b) mapping out and categorizing the existing literature. Specifically, this paper provides an overview of the various methods of the literature, categorizing the problem formulations based on the literature's different concepts, i.e., Integer Programming (IP), Time-Space Network, and the Job Shop model. The consistency between industry needs and existing constraints was discussed, and insights into the data sets corresponding to real-world cases were provided, identifying the necessary data for practitioners.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 145, article id 104631
Keywords [en]
Combinatorial optimization, Concrete delivery problem, Data, Optimization algorithms, Problem formulation, Ready-mixed concrete delivery problem, Systematic search and mapping review, Concrete mixers, Mapping, Ready mixed concrete, Concrete delivery, Delivery problems, Systematic mapping, Systematic searches, Integer programming
National Category
Computer Sciences Construction Management
Identifiers
URN: urn:nbn:se:hj:diva-63826DOI: 10.1016/j.autcon.2022.104631ISI: 000890674400002Scopus ID: 2-s2.0-85141797958OAI: oai:DiVA.org:hj-63826DiVA, id: diva2:1846367
Available from: 2024-03-22 Created: 2024-03-22 Last updated: 2024-03-22Bibliographically approved

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Tzanetos, Alexandros

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