Product mix optimisation model for the coconut oil industry
Ivan Gunawan,
Lusia Permata Sari Hartanti,
Bernadeth Theresia Novita Klau and
Nor Chofifah
International Journal of Industrial and Systems Engineering, 2025, vol. 49, issue 1, 1-17
Abstract:
Coconut can produce numerous derivatives and by-products. A coconut oil industry with five production processes: expeller-pressing, refinery, extraction, hydrogenation, and pelletising can produce up to 11 products. A product mix problem often arises in the determination of the quantity of each product to be produced. As such, product mix decisions can significantly affect profit generation. This research aims to develop a mathematical model based on linear programming (LP) to maximise profits. The optimisation model developed in this study estimates that the industry can increase profits by 43.9% by applying the best product mix decision. A sensitivity analysis shows that changes in capacity affect the model. Three production flow scenarios were tested in the LP model. Scenario 1 (adding refinery 2, using it like refinery 1 plus using refinery 2 to produce refined bleached deodorised hydrogenised coconut oil super) can increase the industry's profit by 28%.
Keywords: coconut oil industry; linear programming; maximising profit; product mix. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=144101 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:49:y:2025:i:1:p:1-17
Access Statistics for this article
More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().