Flexibility optimization for a palm oil-based integrated biorefinery with demand uncertainties

The flexibility of a manufacturing process is defined as its ability to accommodate variations and thus, operate in a stable manner for a range of conditions. The subject of flexibility arises in the space of uncertain design parameters that include volatility of raw materials and products price, va...

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Main Authors: Kasivisvanathan, Harresh, Ng, Denny K.S., Poplewski, Grzegorz, Tan, Raymond Girard R.
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Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3641
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4643/type/native/viewcontent/acs.iecr.5b03702
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-46432022-06-21T05:53:18Z Flexibility optimization for a palm oil-based integrated biorefinery with demand uncertainties Kasivisvanathan, Harresh Ng, Denny K.S. Poplewski, Grzegorz Tan, Raymond Girard R. The flexibility of a manufacturing process is defined as its ability to accommodate variations and thus, operate in a stable manner for a range of conditions. The subject of flexibility arises in the space of uncertain design parameters that include volatility of raw materials and products price, variability of feedstock supply, and product demand, etc. In this paper, a flexibility model is developed to assess the capacities of process units in a plant to absorb variations in product demand. The flexibility index is introduced in this work to quantitatively measure the capability of the plant to accommodate to the maximum or minimum changes in the demand of multiple products. This involves determining the region for change in the production portfolio at which the plant still operates feasibly while absorbing tolerances between each product demand. The concept of corner points is adapted which forms a geometric boundary to the region of feasible operation. The region considered accounts for process adjustments made to accommodate the different parameter realizations. Fuzzy optimization is then used to determine the best trade-off between two important objectives of maximizing plant flexibility while simultaneously minimizing the total cost associated with the plant. A case study of a palm oil-based integrated biorefinery is presented to demonstrate the proposed novel approach in a more descriptive manner. © 2016 American Chemical Society. 2016-04-27T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/3641 info:doi/10.1021/acs.iecr.5b03702 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4643/type/native/viewcontent/acs.iecr.5b03702 Faculty Research Work Animo Repository Biomass energy—Refining Oil-shales Product design Chemical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Biomass energy—Refining
Oil-shales
Product design
Chemical Engineering
spellingShingle Biomass energy—Refining
Oil-shales
Product design
Chemical Engineering
Kasivisvanathan, Harresh
Ng, Denny K.S.
Poplewski, Grzegorz
Tan, Raymond Girard R.
Flexibility optimization for a palm oil-based integrated biorefinery with demand uncertainties
description The flexibility of a manufacturing process is defined as its ability to accommodate variations and thus, operate in a stable manner for a range of conditions. The subject of flexibility arises in the space of uncertain design parameters that include volatility of raw materials and products price, variability of feedstock supply, and product demand, etc. In this paper, a flexibility model is developed to assess the capacities of process units in a plant to absorb variations in product demand. The flexibility index is introduced in this work to quantitatively measure the capability of the plant to accommodate to the maximum or minimum changes in the demand of multiple products. This involves determining the region for change in the production portfolio at which the plant still operates feasibly while absorbing tolerances between each product demand. The concept of corner points is adapted which forms a geometric boundary to the region of feasible operation. The region considered accounts for process adjustments made to accommodate the different parameter realizations. Fuzzy optimization is then used to determine the best trade-off between two important objectives of maximizing plant flexibility while simultaneously minimizing the total cost associated with the plant. A case study of a palm oil-based integrated biorefinery is presented to demonstrate the proposed novel approach in a more descriptive manner. © 2016 American Chemical Society.
format text
author Kasivisvanathan, Harresh
Ng, Denny K.S.
Poplewski, Grzegorz
Tan, Raymond Girard R.
author_facet Kasivisvanathan, Harresh
Ng, Denny K.S.
Poplewski, Grzegorz
Tan, Raymond Girard R.
author_sort Kasivisvanathan, Harresh
title Flexibility optimization for a palm oil-based integrated biorefinery with demand uncertainties
title_short Flexibility optimization for a palm oil-based integrated biorefinery with demand uncertainties
title_full Flexibility optimization for a palm oil-based integrated biorefinery with demand uncertainties
title_fullStr Flexibility optimization for a palm oil-based integrated biorefinery with demand uncertainties
title_full_unstemmed Flexibility optimization for a palm oil-based integrated biorefinery with demand uncertainties
title_sort flexibility optimization for a palm oil-based integrated biorefinery with demand uncertainties
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/3641
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4643/type/native/viewcontent/acs.iecr.5b03702
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