creators_name: Ho , Kok Hoe  
creators_name: Kanesan , Muthusamy
creators_name: Harikrishnan , Kanthen
type: article
datestamp: 2011-10-14 06:18:46
lastmod: 2011-10-14 06:18:46
metadata_visibility: show
corp_creators: Open University Malaysia
title: An Intelligent Process Model for Manufacturing System Optimization
ispublished: pub
subjects: TS
full_text_status: none
keywords: intelligent modeling; dynamic manufacturing; arithmetic theorem; mathematical language; mathematical modeling
note: Selected, peer reviewed papers from the 2011 International Conference on Manufacturing Science and Technology, (ICMST 2011), September 16-18, 2011, Singapore
abstract: The paper aims to develop an intelligent modeling system using Microsoft Excel spreadsheet interface through mathematical language, mathematical reasoning and algorithms flow chart technique for manufacturing system optimization without human involvement. The paper begins to search for a mathematical theorem which is arithmetic series to represent a dynamic manufacturing system in a production floor using production time variable through numerical analysis and is validated using software simulation. The mathematical theorem is modeled with Industrial Engineering (IE) variables into spreadsheet to perform intelligent decision making. The model sets inventory target variable to be achieved with automated computation through the data input from users. Manual analysis from human can be transposed to mathematical language in order automate the system intelligently. The building of intelligent modeling system into spreadsheet using mathematical language sets a new platform for researchers to promote the next generation of modeling technique in the manufacturing field. (Abstract by authors)
date: 2012
date_type: published
publication: Advanced Materials Research (AMR)
publisher: Trans Tech
refereed: TRUE
issn: 1022-6680
citation:   Ho , Kok Hoe  and Kanesan , Muthusamy and Harikrishnan , Kanthen  (2012) An Intelligent Process Model for Manufacturing System Optimization.  Advanced Materials Research (AMR).   ISSN 1022-6680