Palm biomass supply management : a predictive analysis tool
The flourishing of oil palm industry has always been regarded as a double-edged sword. While it has significantly contributed to the economic growth, it is, nonetheless, disputably unsustainable as it is a land-intensive industry and causing disposal problems by leaving behind massive waste. To stre...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2018
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| Online Access: | https://eprints.nottingham.ac.uk/52325/ |
| _version_ | 1848798700918276096 |
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| author | Tang, Jiang Ping |
| author_facet | Tang, Jiang Ping |
| author_sort | Tang, Jiang Ping |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The flourishing of oil palm industry has always been regarded as a double-edged sword. While it has significantly contributed to the economic growth, it is, nonetheless, disputably unsustainable as it is a land-intensive industry and causing disposal problems by leaving behind massive waste. To strengthening the industry’s competitive advantage and offsetting its drawbacks, this thesis presents a forward-looking framework – Biomass Supply Value Chain (BSVC)– to put emphasis on the value creation for the biomass industry. It aims to enhance the current biomass supply chain by harnessing the emerging technological advancement of artificial intelligence (AI), as well as by incorporating game theory to examine the strategic arrangement of the industry players. The proposed framework is capable of optimising the procurement process in the supply chain management: first, by identifying biomass properties for optimum biomass utilisation through the developed Biomass Characteristic Index (BCI); second, by applying AI into supply chain-related tasks for aiding better decision-making and problem-solving; and third, by adopting game theory in analysing strategic options, and providing appropriate strategies to minimise uncertainty and risk in procurement process. The “value” as suggested in the BSVC does not merely refer to a narrow economic sense, but is an all-encompassing value concerning non-monetary utility values, including sustainability, environmental preservation and the appreciation of the biomass industry. |
| first_indexed | 2025-11-14T20:23:57Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-52325 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:23:57Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-523252021-07-15T14:09:09Z https://eprints.nottingham.ac.uk/52325/ Palm biomass supply management : a predictive analysis tool Tang, Jiang Ping The flourishing of oil palm industry has always been regarded as a double-edged sword. While it has significantly contributed to the economic growth, it is, nonetheless, disputably unsustainable as it is a land-intensive industry and causing disposal problems by leaving behind massive waste. To strengthening the industry’s competitive advantage and offsetting its drawbacks, this thesis presents a forward-looking framework – Biomass Supply Value Chain (BSVC)– to put emphasis on the value creation for the biomass industry. It aims to enhance the current biomass supply chain by harnessing the emerging technological advancement of artificial intelligence (AI), as well as by incorporating game theory to examine the strategic arrangement of the industry players. The proposed framework is capable of optimising the procurement process in the supply chain management: first, by identifying biomass properties for optimum biomass utilisation through the developed Biomass Characteristic Index (BCI); second, by applying AI into supply chain-related tasks for aiding better decision-making and problem-solving; and third, by adopting game theory in analysing strategic options, and providing appropriate strategies to minimise uncertainty and risk in procurement process. The “value” as suggested in the BSVC does not merely refer to a narrow economic sense, but is an all-encompassing value concerning non-monetary utility values, including sustainability, environmental preservation and the appreciation of the biomass industry. 2018-07-22 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en cc_by_nc https://eprints.nottingham.ac.uk/52325/1/tjp_thesis_3.0.pdf Tang, Jiang Ping (2018) Palm biomass supply management : a predictive analysis tool. PhD thesis, University of Nottingham. biomass characteristics index artificial neural network game theory |
| spellingShingle | biomass characteristics index artificial neural network game theory Tang, Jiang Ping Palm biomass supply management : a predictive analysis tool |
| title | Palm biomass supply management : a predictive analysis tool |
| title_full | Palm biomass supply management : a predictive analysis tool |
| title_fullStr | Palm biomass supply management : a predictive analysis tool |
| title_full_unstemmed | Palm biomass supply management : a predictive analysis tool |
| title_short | Palm biomass supply management : a predictive analysis tool |
| title_sort | palm biomass supply management : a predictive analysis tool |
| topic | biomass characteristics index artificial neural network game theory |
| url | https://eprints.nottingham.ac.uk/52325/ |