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Application of Systems Simulation for Predicting and Optimising Energy Requirements for HDF Production
Author(s) -
Cristina Maria Luminea,
John J. Donovan,
T. David
Publication year - 2015
Publication title -
journal of industrial engineering
Language(s) - English
Resource type - Journals
eISSN - 2314-4890
pISSN - 2314-4882
DOI - 10.1155/2015/650925
Subject(s) - energy consumption , adaptability , production (economics) , energy management , computer science , domain (mathematical analysis) , manufacturing engineering , consumption (sociology) , supply chain , systems engineering , simulation modeling , industrial engineering , energy (signal processing) , engineering , business , microeconomics , ecology , mathematical analysis , social science , statistics , mathematics , marketing , sociology , biology , electrical engineering , economics , macroeconomics
Even though simulation has been used so far in manufacturing facilities for modelling supply chain management, production management, and business processes, its applications in managing the energy consumption within manufacturing companies represent a new and innovative research domain. This prompted the research undertaken for the work present in this paper. The main focus of this research is to analyse production management in a manufacturing facility and correlate it with the energy consumption. The research initially concentrates on different simulation methodologies and their application in the current manufacturing domain. Literature relating to the correlation of energy consumption with production management has also been reviewed. This review identified very few previous instances where simulation tools were used to predict the energy consumption in a manufacturing facility. This research brings a novel approach to investigating the adaptability of industrial simulation processes and tools for modelling the energy consumption with respect to a variable production output. The end result of this investigation consists of a better understanding of the production system and the energy losses that were captured by the simulation model

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