Improved Production Mechanism for Dairy Plant Management Using Aggregated Rule Mining

Authors

  • V. Manochitra, A. Shaik Abdul Khadir

Keywords:

Aggregated rule mining, Dairy farm, Data Mining, Farm Plant

Abstract

The proposed method for supervising and proper management of milk processing processes to reduce utilization of water and energy. The primary process of this model is to measure and improve the pitfalls of the automated dairy plant that process the cow milk day-to-day activity values is monitored and processed using this proposed Improved Aggregated Rule Mining technique. The existing system updated by integrating proposed monitor system to the improved Automated Rule Mining system already deploy in the production process. So the system able to calculate the energy consumptions not directly computed from the available sensors. The efficiency of proposed system is high compared to existing system results. The records are used to improvising a monitoring system to reducing the water/energy consumption. This paper results shown the improved considerable water and energy in several milk processing processes by the introduction of new processing and management technologies by applying this proposed technique. The measurement of proposed approach was based on the comparison with the existing benchmark readings such as water consumption, milk wastage and human efforts.

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References

FoodDrinkEurope, “Data & Trends of the European Food and Drink Industry”,2011.

Eurobarometersurvey,“SMEsareimportantforasmoothtransitiontoa greener economy”. MEMO/12/218, March2012.

European Commission, “Integrated Pollution Prevention and Control”, Reference Document on Best Available Techniques in the Food, Drink and Milk Industries,2006.

DG Environment – European Commission, “Water Scarcity and Droughts,In-DepthAssessment,SecondInterimReport”,June2007.

Sevenster, M. and de Jong, F., “A sustainable dairy sector: Global, regional and life cycle facts and figures on greenhouse-gasemissions”, CE Delft, 2008

USDairyWaterUse,“Understandingthegeographicalhotspotsfordairy operations with regard to water use impacts”,2011.

CIAA,“ManagingEnvironmentalSustainabilityintheEuropeanFood& Drink Industries”,2001.

Bilgen, B., Dogan, K., “Multistage production planning in the dairy industry: A mixed-integer programming approach. Industrial & EngineeringChemistryResearch54(46),pp.11709-11719,2015.

Doganis, P., Sarimveis, H., “Optimal scheduling in a yogurt production line based on mixed integer linear programming”. Journal of Food Engineering 80 (2), pp. 445-453,2007

Grossmann,I.E.,Hooker,J.,Mendez,C.,Sand,G.,Wassick,J.,“Scope forindustrialapplicationsofproductionschedulingmodelsandsolution methods”.Computers&ChemicalEngineering62,pp161-193,2014

Hazaras, M. J., Swartz, C. L., Marlin, T. E., “Industrial application of a continuous-time scheduling framework for process analysis and improvement”.Industrial&EngineeringChemistryResearch53(1),259- 273,2013.

Kopanos,G.M.,Puigjaner,L.,Georgiadis,M.C.,“Resource-constrained production planning in semicontinuous food industries”, Computers & chemical engineering 35 (12), 2929-2944,2011

Mendez, C. A., Cerda, J., Grossmann, I. E., Harjunkoski, I., Fahl, M., “State-of-the-art review of optimization methods for short-term schedulingofbatchprocesses”.Computers&ChemicalEngineering30 (6), pp 913-946,2006

Okubo,H.,Miyamoto,T.,Yoshida,S.,Mori,K.,Kitamura,S.,Izui,Y., “Project scheduling under partially renewable resources and resource consumption during setup operations”. Computers & Industrial Engineering, 83, pp. 91-99,2015.

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Published

26.03.2024

How to Cite

V. Manochitra. (2024). Improved Production Mechanism for Dairy Plant Management Using Aggregated Rule Mining. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 2328–2332. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5836

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Section

Research Article

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