Algorithm optimizing profitability in the manufacturing industry


  • Kim-Thanh Tran Thi University of Economics - Technology for Industries (UNETI), Ha Noi, Viet Nam



This article focuses on optimizing profitability in the manufacturing sector by integrating critical elements such as production, pricing, resource allocation, and cost analysis. Through preliminary steps, the article proposes a complex mathematical model to maximize profit by making intelligent decisions regarding production and pricing. Predicting demand, analyzing costs, and allocating resources appropriately play crucial roles in achieving this goal. The article also underscores the importance of risk management and adaptability in a volatile market environment, ensuring sustained competitiveness and profitability.


[1] A. Saravanan, M. Murugan, M. Sreenivasa Reddy and S. Parida,“Performance and emission characteristics of variable compression ratio CI engine fueled with dual biodiesel blends of Rapeseed and Mahua,” Fuel, vol. 263, Article 116751, 2020, doi: 10.1016/j.fuel.2019.116751
[2] T. Nguyen, M.H. Pham and T. Le Anh, “Spray, combustion, performance and emission characteristics of a common rail diesel engine fueled by fish-oil biodiesel blends,” Fuel, vol. 269, Article 117108, 2020, doi: 10.1016/j.fuel.2020.117108
[3] S.-S. de Jesus, G.-F. Ferreira, M.-R. Wolf Maciel and R. Maciel Filho, “Biodiesel purification by column chromatography and liquid-liquid extraction using green solvents,” Fuel, vol. 235, pp. 1123-1130, 2019, doi: 10.1016/j.fuel.2018.08.107
[4] M. Athar, S. Zaidi, “A review of the feedstocks, catalysts, and intensification techniques for sustainable biodiesel production,” J. Environ. Chem. Eng, vol. 8, no. 6, Article 104523, 2020, doi: 10.1016/j.jece.2020.104523
[5] G. Bekele, W. Negatu and G. Eshete, “Energy poverty in Addis Ababa city, Ethiopia,” J. Econ. Sustain. Dev., vol. 6, no. 3, pp. 26-34, 2015, doi: 10.11114/aef.v3i1.1193
[6] D.-D. Guta, “Assessment of biomass fuel resource potential and utilization in Ethiopia: sourcing strategies for renewable energies,” Int. J. Renew. Energy Resour., vol. 2, no. 1, pp. 131-139, 2012.
[7] Z. Gebreegziabher, A.-D. Beyene, R. Bluffstone, P. Martinsson, A. Mekonnen, M.-A. Toman, “Fuel savings, cooking time and user satisfaction with improved biomass cookstoves: evidence from controlled cooking tests in Ethiopia,” Resour. Energy Econ., vol. 52, pp. 173-185, 2018, doi: 10.1016/j.reseneeco.2018.01.006
[8] M. Bilal Tahir, K. Nadeem Riaz, A.M. Asiri, “Boosting the performance of visible light-driven WO3/g-C3N4 anchored with BiVO4 nanoparticles for photocatalytic hydrogen evolution,” Int. J. Energy Res., vol. 43, no.11, pp. 5747-5758, 2019, doi: 10.1002/er.4673
[9] D. Singh, et al, “A comprehensive review of physicochemical properties, production process, performance and emissions characteristics of 2nd generation biodiesel feedstock: jatropha curcas,” Fuel, vol. 285, Article 119110, 2021, doi: 10.1016/j.fuel.2020.119110
[10] M. Aghbashlo, S. Hosseinpour and M. Tabatabaei, “Multi-objective exergetic and technical optimization of a piezoelectric ultrasonic reactor applied to synthesize biodiesel from waste cooking oil (WCO) using soft computing techniques,” vol. 235, pp. 100-112, 2019, doi: 10.1016/j.fuel.2018.07.095
[11] S.-S. Selvan, P.S. Pandian, A. Subathira and S. Saravanan, “Comparison of response surface methodology (RSM) and artificial neural network (ANN) in optimization of aegle marmelos oil extraction for biodiesel production,” Arabian J. Sci. Eng., vol. 43, no. 11, pp. 6119-6131, 2018, doi: 10.1007/s13369-018-3272-5
[12] F. Ashine, et al., “Biodiesel production from Argemone mexicana oil using chicken eggshell derived CaO catalyst,” Fuel, vol. 332, no. 2, Article 126166, 2023, doi: 10.1016/j.fuel.2022.126166
[13] P. Saravana Pandian, S. Sindhanai Selvan, A. Subathira and S. Saravanan, “Optimization of aqueous two phase extraction of proteins from Litopenaeus vannamei waste by response surface methodology coupled multi-objective genetic algorithm,” Chem. Prod. Process Model., vol. 15, no. 1, pp. 1-10, 2020, doi: 10.1515/cppm-2019-0034
[14] M. Anwar, M.-G. Rasul and N. Ashwath, “Production optimization and quality assessment of papaya (Carica papaya) biodiesel with response surface methodology,” Energy Convers. Manag., vol. 156 pp. 103-112, 2018, doi: 10.1016/j.enconman.2017.11.004
[15] P.-R. Pandit and M.-H. Fulekar, “Egg shell waste as heterogeneous nanocatalyst for biodiesel production: optimized by response surface methodology,” J. Environ. Manag., vol. 198, pp. 319-329, 2017, doi: 10.1016/j.jenvman.2017.04.100
[16] M. Anwar, M.-G. Rasul, N. Ashwath and M.-M. Rahman, “Optimisation of second-generation biodiesel production from Australian native stone fruit oil using response surface method,” Energies, vol. 11, no. 10, 2018, doi: 10.3390/en11102566
[17] E. Raja and M. Premjeyakumar, “Potent effect of prosopis juliflora (biodiesel + isopropanol + diesel) fueled with diesel engine and egr alteration,” Clean. Eng. Technol., vol. 4, pp. 100205, 2021, doi: 10.1016/j.clet.2021.100205
[18] R. Sasikumar, G. Sankaranarayanan and R. Karthikeyan, “Investigation characteristics of prosopis juliflora biodiesel blended with diesel fuel in a DI diesel engine,” Aust. J. Mech. Eng, pp. 1-6, 2020, doi: 10.1080/14484846.2020.1740021
[19] R. Chandran, R. Kaliaperumal, S. Balakrishnan, A.J. Britten, J. MacInnis and M. Mkandawire, “Characteristics of bio-oil from continuous fast pyrolysis of Prosopis juliflora,” Energy, vol. 190, Article 116387, 2020, doi: 10.1016/
[20] S. Ramalingam, E. Murugesan, P. Ganesan and S. Rajendiran, “Characteristics analysis of julifora biodiesel derived from different production methods,” Fuel, vol. 280, Article 118579, 2020, doi: 10.1016/j.fuel.2020.118579
[21] W. Shiferaw, S. Demissew, T. Bekele and E. Aynekulu, “Relationship between Prosopis juliflora invasion and livelihood diversification in the South Afar region, Northeast Ethiopia,” Reg. Sustain., vol. 1, no. 1, pp. 82-92, 2020, doi: 10.1016/j.regsus.2020.09.002
[22] T. Ramesh, A.-P. Sathiyagnanam, M.-V. De Poures and P. Murugan, “Combined effect of compression ratio and fuel injection pressure on CI engine equipped with CRDi system using prosopis juliflora methyl ester/diesel blends,” Int. J. Chem. Eng., 2022 (2022), doi: 10.1155/2022/4617664
[23] T. Cornelissen, J. Yperman, G. Reggers, S. Schreurs and R. Carleer, “Flash co-pyrolysis of biomass with polylactic acid. Part 1: influence on bio-oil yield and heating value,” Fuel, vol. 87, no. 7, pp. 1031-1041, 2008, doi: 10.1016/j.fuel.2007.07.019
[24] M.-M.-K. Bhuiya, M. Rasul, M. Khan, N. Ashwath and M. Rahman, “Industrial Crops & Products Comparison of oil extraction between screw press and solvent (n-hexane) extraction technique from beauty leaf (Calophyllum inophyllum L.) feedstock,” Ind. Crop. Prod., vol. 14, Article 11202, 2020, doi: 10.1016/j.indcrop.2019.112024




How to Cite

Tran Thi, K.-T. (2023). Algorithm optimizing profitability in the manufacturing industry. HPU2 Journal of Science: Natural Sciences and Technology, 2(3), 19–33.

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