Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106018
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | en_US |
dc.creator | Pun, KP | en_US |
dc.creator | Choy, KL | en_US |
dc.creator | Lam, HY | en_US |
dc.date.accessioned | 2024-04-25T02:50:06Z | - |
dc.date.available | 2024-04-25T02:50:06Z | - |
dc.identifier.isbn | 978-1-890843-37-3 (Electronic) | en_US |
dc.identifier.isbn | 978-1-890843-38-0 (USB) | en_US |
dc.identifier.isbn | 978-1-5386-7719-3 (Print on Demand(PoD)) | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/106018 | - |
dc.description | 2018 Portland International Conference on Management of Engineering and Technology (PICMET), 19-23 August 2018, Honolulu, HI, USA | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2018 PICMET | en_US |
dc.rights | Posted with permission of PICMET. | en_US |
dc.rights | The following publication K. P. Pun, K. L. Choy and H. Y. Lam, "A Cloud-Based Fuzzy Multi-Criteria Decision Support System for Procurement Process in Facility Management," 2018 Portland International Conference on Management of Engineering and Technology (PICMET), Honolulu, HI, USA, 2018, pp. 1-8 is available at https://doi.org/10.23919/PICMET.2018.8481800. | en_US |
dc.title | A cloud-based fuzzy multi-criteria decision support system for procurement process in facility management | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | 10.23919/PICMET.2018.8481800 | en_US |
dcterms.abstract | Procurement in facilities management is a complex process for linking different stakeholders together to form an integrated service, it is a crucial process for identifying the best sources of supplier and best suited contractor in improving the efficiency of resources allocation, maintaining equipment reliability and availability to enhance facilities conditions in order to reduce business risks, attract tenants, increase asset and building value. Hence, a building's Return of Investment (ROI) and payback can be incredibly beneficial by enabling the procurement decision to meet its strategic objectives in an economic, efficient and effective manner. However, in current process, procurement is financially consuming and expensive as it requires high demand of manpower and involves enormous amount of paper work for managing requests, quotations, bid requirements and evaluations. Also, there is lack of quantitative measures by incorporating linguistic selection criteria from domain experts in the procurement selection process for improving competitive advantage. Even though applications of digitalization for conveying information to digital format in streamlining internal process have been considered, competiveness and capabilities assessment of current supply base, quantitative and qualitative data analysis on contractor selection and relevant performance feedback is lacking to support the decision-marking. Therefore, in this paper, a cloud-based Fuzzy multi-criteria decision support system (CFMDS) is proposed for integrating with procurement process for performing award analytics to identify the best suited supplier and contractor. The procurement officer can then formulate a follow up plan based on the recommended results. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Presented at the PICMET'2018 Conference on August 19 - 23, 2018 in Honolulu, Hawaii - USA | en_US |
dcterms.issued | 2018 | - |
dc.relation.conference | Portland International Conference on Management of Engineering and Technology [PICMET] | en_US |
dc.description.validate | 202404 bcwh | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | ISE-0576 | - |
dc.description.fundingSource | Self-funded | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 60291279 | - |
dc.description.oaCategory | Publisher permission | en_US |
Appears in Collections: | Conference Paper |
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File | Description | Size | Format | |
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Pun_Cloud-Based_Fuzzy_Multi-Criteria.pdf | 886.58 kB | Adobe PDF | View/Open |
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