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AuthorZ. Al-Dossari, Norah Mohammed
AuthorHaouari, Mohamed
AuthorKharbeche, Mohamed
Available date2021-10-19T06:13:04Z
Publication Date2021
Publication NameQatar University Annual Research an Exhibition 2021 (quarfe)
CitationAl-Dossari N. M., Haouari M., Kharbeche M., "Optimization Models For Multiple Resource Planning", Qatar University Annual Research Forum and Exhibition (QUARFE 2021), Doha, 20 October 2021, https://doi.org/10.29117/quarfe.2021.0165
URIhttps://doi.org/10.29117/quarfe.2021.0165
URIhttp://hdl.handle.net/10576/24529
AbstractMultiple resource planning is a very crucial undertaking for most organizations. Apart from reducing operational complexity, multiple resource planning facilitates efficient allocation of resources, which reduces costs by minimizing the cost of tardiness and the cost for additional capacity. The current research investigates multiple resource loading problems (MRLP). MRLPs are very prevalent in today's organizational environments and are particularly critical for organizations that handle concurrent, time-intensive, and multiple-resource projects. Using data obtained from the Ministry of Administrative Development, Labor and Social Affairs (ADLSA), a MRLP is proposed. The problem utilizes data regarding staff, time, equipment, and finance to ensure efficient resource allocation among competing projects. In particular, the research proposes a novel model and solution approach for the MRLP. Computational experiments are then performed on the model. The results show that the model performs well, even for higher instances. The positive results attest to the effectiveness of the proposed MRLP problem.
Languageen
PublisherQatar University Press
SubjectOptimization
Models
Multiple resource
Planning
TitleOptimization Models For Multiple Resource Planning
TypePoster
dc.accessType Open Access


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