Status : Verified
Personal Name Pablo, Marielle Monique M.
Resource Title Optimizing and Sustaining the Yield VCO Production using Production Yield Analysis and BoxBehnken Experimental Design
Date Issued 17 December 2024
Abstract Virgin Coconut Oil (VCO) is a valuable commodity with significant health benefits, making its efficient production a key concern in the coconut industry. The commonly used process to produce VCO is the natural fermentation (VCO-NF) process owing to its low investment cost requirement. Despite the extensive published research, this process also has the lowest yield (< 20%) among the VCO extraction technologies (e.g., expellerpressing and centrifugation). Since most yield improvement studies entail costly improvements, such as adding certain microbial cultures, enzymes, or utilizing advanced types of machinery, VCO-NF producers fail to adopt them. Using Production Yield Analysis (PYA) and Response Surface Methodology – Box-Behnken Design (BBD), this study aimed to optimize the VCO-NF process and increase the yield by identifying the optimal conditions for the fermentation factors that can be controlled under factory conditions, such as milk-to-water ratio, stirring time, and fermentation time. Results show that oil yield is maximized at 32% by using a 1:1 milk-to-water ratio, stirring for 15 minutes, and fermenting for 48 hours. The optimized parameters were validated in industry-scale production (1500 nuts used per batch) to determine their applicability. The average industry-scale oil yield (%) is 37%, making the optimized parameters 114% applicable to high-volume production. This study provides a systematic, repeatable, and readily implementable approach that can contribute to sustainable practices and economic growth in coconut-producing areas. The quality of the produced oil also adheres to corresponding standards, ensuring global market competitiveness and profitability
Degree Course MS Industrial Engineering
Language English
Keyword Virgin Coconut Oil, Yield Optimization, Production Yield Analysis
Material Type Thesis/Dissertation
Preliminary Pages
621.34 Kb
Category : F - Regular work, i.e., it has no patentable invention or creation, the author does not wish for personal publication, there is no confidential information.
 
Access Permission : Open Access