scholarly journals Evaluating the Sustainability and Inherent Safety of a Crude Palm Oil Production Process in North-Colombia

2021 ◽  
Vol 11 (3) ◽  
pp. 1046
Author(s):  
Angel Darío González-Delgado ◽  
Andrés F. Barajas-Solano ◽  
Jeffrey Leon-Pulido
Keyword(s):  
Production Process ◽  
Palm Oil ◽  
Return On Investment ◽  
Oil Production ◽  
Rapid Expansion ◽  
Process Equipment ◽  
Inherent Safety ◽  
Safety Index ◽  
Crude Palm Oil ◽  
Complete Evaluation

The African palm is the main source of vegetable oil worldwide, representing about 29.60% of the total oil and fat production around the world. The rapid expansion of this sector has faced several concerns related to environmental and social aspects that have driven the search for sustainable alternatives. In this work, the inherent safety analysis and sustainability evaluation for the crude palm oil production process was performed using the inherent safety index (ISI) method and the sustainable weighted return on investment metric (SWROIM), respectively. The process was designed for a processing capacity of 30 t/h of palm bunches and under North-Colombian conditions. Three technical indicators were considered to evaluate the process sustainability including exergy efficiency, potential environmental impacts output (PEI output), and the total inherent safety index (ITI). The economic factor is directly considered since the SWROIM is an extension of the conventional return on investment (ROI). The resulting ITI at 11 indicated an inherently safe process, and the highest risk was observed for the process equipment safety subindex. The SWROIM reached a higher value (53%) compared to the conventional ROI (49.39%), which suggests positive impacts on sustainability. The novelty of this work lies in detecting the inherent risks and providing a decision making criteria for this project through a complete evaluation that relates economic, energy, environmental, and safety criteria.

scholarly journals A Model to Manage Crude Palm Oil Production System

2019 ◽  
Vol 255 ◽  
pp. 02001 ◽  
Author(s):  
Inyang John ◽  
Andrew-Munot Magdalene ◽  
Syed Shazali Syed Tarmizi ◽  
Johnathan Tanjong Shirley
Keyword(s):  
Simulation Model ◽  
Production Process ◽  
Conceptual Model ◽  
Palm Oil ◽  
Production System ◽  
Oil Production ◽  
Future Research ◽  
Crude Palm Oil ◽  
Model Based ◽  
The Future

This paper reviews key production process for crude palm oil and highlights factors that highly influence the production of crude palm oil. This paper proposes a generic conceptual model for crude palm production process considering these factors. The conceptual model could be modified to consider other factors not included in this paper. The future research would be to construct a simulation model based on the conceptual model proposed in this paper and analyse the effect of these factors on the performance of crude palm oil production system.

scholarly journals Perspective on Crude Palm Oil Production: The Effect of Raw Palm Oil and Biofuel Prices

2021 ◽  
pp. 15-25
Author(s):  
Afriany ◽  
Rubianto Pitoyo
Keyword(s):  
Production Process ◽  
Palm Oil ◽  
Time Series Data ◽  
Oil Production ◽  
Series Data ◽  
Production Data ◽  
Crude Palm Oil ◽  
Specialized Production ◽  
Production Factors ◽  
The Relationship

Efficiency is the important things in production process. Some production factors as labor, materials, and machinery must be calculate accurately. The purpose of this research is for analyzing the influence of raw palm oil and Biofuel prices against crude palm oil production. Sample in this research is time series data that specialized production data, The technique analysis is using analysis of multiple linier regression. The results from analysis show correlation between raw palm oil and biofuel prices with crude palm oil production is 57.1 %, The relationship between raw palm oil against crude palm oil production have significant effect and biofuel prices against crude palm oil production have no significant effect. Based on the results of F test there are the significant influence between raw palm oil and biofues prices against crude palm oil production. finding in this research is PT. Wilmar using 3 type of fuel for production process, petroleum, biofuel and waste of raw palm oil production which makes biofuel prices have no effect on crude palm oil production

Value–Supply Chain Analysis (VSCA) of crude palm oil production in Brazil, focusing on economic, environmental and social sustainability

2019 ◽  
Vol 17 ◽  
pp. 161-175 ◽  
Author(s):  
Mohan Munasinghe ◽  
Priyangi Jayasinghe ◽  
Yvani Deraniyagala ◽  
Valente José Matlaba ◽  
Jorge Filipe dos Santos ◽  
...  
Keyword(s):  
Supply Chain ◽  
Palm Oil ◽  
Social Sustainability ◽  
Oil Production ◽  
Crude Palm Oil ◽  
Chain Analysis ◽  
Supply Chain Analysis

Measurement of Detection Rate Accuracy in Forecasting Crude Palm Oil Production using Fuzzy Time Series

2021 ◽  
Author(s):  
Arif Ridho Lubis ◽  
Santi Prayudani ◽  
Yulia Fatmi ◽  
Al-Khowarizmi ◽  
Julham ◽  
...  
Keyword(s):  
Time Series ◽  
Palm Oil ◽  
Detection Rate ◽  
Oil Production ◽  
Fuzzy Time Series ◽  
Crude Palm Oil

scholarly journals Penerapan Decision Tree J48 dan Reptree dalam Menentukan Prediksi Produksi Minyak Kelapa Sawit menggunakan Metode Fuzzy Tsukamoto

2020 ◽  
Vol 7 (3) ◽  
pp. 483
Author(s):  
Tundo Tundo ◽  
Shofwatul 'Uyun
Keyword(s):  
Decision Tree ◽  
Production Process ◽  
Palm Oil ◽  
Oil Production ◽  
Actual Data ◽  
Production Data ◽  
Actual Production ◽  
Speed Up ◽  
Rule Making

<p>Penelitian ini menerangkan penerapan <em>decision tree</em> J48 dan REPTree dengan menggunakan metode <em>fuzzy Tsukamoto</em> dengan objek yang digunakan adalah penentuan jumlah produksi minyak kelapa sawit di perusahaan PT Tapiana Nadenggan dengan tujuan untuk mengetahui <em>decision tree</em> mana yang hasilnya mendekati dari data sesungguhnya sehingga dapat digunakan untuk membantu memprediksi jumlah produksi minyak kelapa sawit di PT Tapiana Nadenggan ketika proses produksi belum diproses. Digunakannya <em>decision tree</em> J48 dan REPTree yaitu untuk mempercepat dalam pembuatan <em>rule </em>yang digunakan tanpa harus berkonsultasi dengan para pakar dalam menentukan <em>rule</em> yang digunakan. Dari data yang digunakan akurasi dari decision tree J48 adalah 95.2381%, sedangkan akurasi REPTree adalah 90.4762%, akan tetapi dalam kasus ini <em>decision tree</em> REPTree yang lebih tepat digunakan dalam proses prediksi produksi minyak kelapa sawit, karena di uji dengan data sesungguhnya pada bulan Maret tahun 2019 menggunakan REPTree diperoleh 16355835 liter, sedangkan menggunakan J48 diperoleh 11844763 liter, dimana data produksi sesungguhnya sebesar 17920000 liter. Sehingga dapat ditemukan suatu kesimpulan bahwa untuk kasus ini data produksi yang mendekati dengan data sesungguhnya adalah REPTree, meskipun akurasi yang diperoleh lebih kecil dibandingkan dengan J48.</p><p><em><strong>Abstract</strong></em></p><div><p><em>This study explains the application of the J48 and REPTree decision tree using the fuzzy Tsukamoto method with the object used is the determination of the amount of palm oil production in the company PT Tapiana Nadenggan with the aim of knowing which decision tree the results are close to the actual data so that it can be used to help predict the amount palm oil production at PT Tapiana Nadenggan when the production process has not been processed. The use of the J48 and REPTree decision tree is to speed up the rule making that is used without having to consult with experts in determining the rules used. From the data used the accuracy of the J48 decision tree is 95.2381%, while the REPTree accuracy is 90.4762%, but in this case the REPTree decision tree is more appropriate to be used in the prediction process of palm oil production, because it is tested with actual data in March 2019 uses REPTree obtained 16355835 liters, while using J48 obtained 11844763 liters, where the actual production data is 179,20000 liters. So that it can be found a conclusion that for this case the production data approaching the actual data is REPTree, even though the accuracy obtained is smaller compared to J48.</em></p></div><p><em><strong><br /></strong></em></p>

scholarly journals Inherent safety Analysis and Sustainability Evaluation of Chitosan Production from Shrimp Exoskeleton in Colombia

2020 ◽  
Author(s):  
Antonio Zuorro ◽  
Kariana Andrea Moreno-Sader ◽  
Ángel Darío González-Delgado
Keyword(s):  
Return On Investment ◽  
Value Added ◽  
Safety Analysis ◽  
Main Process ◽  
Inherent Safety ◽  
Safety Index ◽  
Sustainability Evaluation ◽  
Technical Parameters ◽  
Key Aspects

The recovery and valorization of waste are some of the key aspects of sustainable production. The crustacean exoskeletons can be potentially used to obtain value-added products such as chitosan. A comprehensive analysis including both safety and sustainability aspects of chitosan production from shrimp shells is presented in this study. The inherent safety analysis and sustainability evaluation was performed using the Inherent Safety Index (ISI) methodology and the Sustainable Weighted Return on Investment Metric (SWROIM), respectively. The process was designed for a processing capacity of 57,000 t/y according to shrimp production in Colombia. The economic (%ROI), environmental (PEI output), energy (exergy efficiency), and safety (ITI) technical parameters were included in the sustainability evaluation. The three first were obtained from the previous analysis performed by the authors. The total inherent safety index was estimated at 25 indicating that the process is inherently unsafe. The main process risks were given by the dangerous substance, reactivity, and inventory subindices. The overall sustainability evaluation showed a SWROIM of 36.23% indicating that the case study showed higher weighted performance compared to the return on investment (ROI) metric of 18.08%.

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