Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach

Establishment of biomass supply chain is preliminary stage for biomass energy production especially in proposing potential processing plant location. Most of the relevant biomass is produced in abundance in agriculture sector. In Malaysia, biomass supply is obtained mainly from oil palm plantation w...

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Main Authors: Haleem, A.A., Hashim, H., Varbanov, P.S., Yong, J.Y., Klemeš, J.J., Yusup, S.
Format: Article
Published: Italian Association of Chemical Engineering - AIDIC 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946142221&doi=10.3303%2fCET1545230&partnerID=40&md5=f9ddafcf748771708e1eb0868d86038e
http://eprints.utp.edu.my/31600/
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spelling my.utp.eprints.316002022-03-26T03:23:46Z Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach Haleem, A.A. Hashim, H. Varbanov, P.S. Yong, J.Y. Klemeš, J.J. Yusup, S. Establishment of biomass supply chain is preliminary stage for biomass energy production especially in proposing potential processing plant location. Most of the relevant biomass is produced in abundance in agriculture sector. In Malaysia, biomass supply is obtained mainly from oil palm plantation which governed under Federal Land Development Authority. Biomass supply chain deals with harvesting, storage, pretreatment and transportation. Low energy density of biomass combined with availability of biomass that is widely distributed contributes huge constraints to the problem. To address this issue, P-graph modelling is used as the methodology to solve combinatorial complexity of the biomass supply chain in Federal Land Development Authority Jengka. Few possible locations for building new biomass processing plant and storage hubs were introduced in the optimisation problem. Existing plant mills, hubs and possible plant locations were interconnected to create a network. Fuel consumption for transportation was calculated by taking into account the road profiles of the routes in Jengka. The resulting solution from Accelerated Branch and Bound algorithm in P-graph shows that the optimal solution is through building new plant in location 1, 2 and 4 for a profit of 77.35 M MYR/y (18.3 M �/y). Copyright © 2015, AIDIC Servizi S.r.l.,. Italian Association of Chemical Engineering - AIDIC 2015 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946142221&doi=10.3303%2fCET1545230&partnerID=40&md5=f9ddafcf748771708e1eb0868d86038e Haleem, A.A. and Hashim, H. and Varbanov, P.S. and Yong, J.Y. and Klemeš, J.J. and Yusup, S. (2015) Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach. Chemical Engineering Transactions, 45 . pp. 1375-1380. http://eprints.utp.edu.my/31600/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Establishment of biomass supply chain is preliminary stage for biomass energy production especially in proposing potential processing plant location. Most of the relevant biomass is produced in abundance in agriculture sector. In Malaysia, biomass supply is obtained mainly from oil palm plantation which governed under Federal Land Development Authority. Biomass supply chain deals with harvesting, storage, pretreatment and transportation. Low energy density of biomass combined with availability of biomass that is widely distributed contributes huge constraints to the problem. To address this issue, P-graph modelling is used as the methodology to solve combinatorial complexity of the biomass supply chain in Federal Land Development Authority Jengka. Few possible locations for building new biomass processing plant and storage hubs were introduced in the optimisation problem. Existing plant mills, hubs and possible plant locations were interconnected to create a network. Fuel consumption for transportation was calculated by taking into account the road profiles of the routes in Jengka. The resulting solution from Accelerated Branch and Bound algorithm in P-graph shows that the optimal solution is through building new plant in location 1, 2 and 4 for a profit of 77.35 M MYR/y (18.3 M �/y). Copyright © 2015, AIDIC Servizi S.r.l.,.
format Article
author Haleem, A.A.
Hashim, H.
Varbanov, P.S.
Yong, J.Y.
Klemeš, J.J.
Yusup, S.
spellingShingle Haleem, A.A.
Hashim, H.
Varbanov, P.S.
Yong, J.Y.
Klemeš, J.J.
Yusup, S.
Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach
author_facet Haleem, A.A.
Hashim, H.
Varbanov, P.S.
Yong, J.Y.
Klemeš, J.J.
Yusup, S.
author_sort Haleem, A.A.
title Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach
title_short Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach
title_full Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach
title_fullStr Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach
title_full_unstemmed Case study: Optimisation of Federal Land Development Authority Jengka supply chain management using P-graph approach
title_sort case study: optimisation of federal land development authority jengka supply chain management using p-graph approach
publisher Italian Association of Chemical Engineering - AIDIC
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946142221&doi=10.3303%2fCET1545230&partnerID=40&md5=f9ddafcf748771708e1eb0868d86038e
http://eprints.utp.edu.my/31600/
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score 13.211869