Now showing items 1-10 of 11
Autonomous Planning using the basic principles of Gene Transcription Regulatory Control
(Scientific & Academic Publishing, 2012)
The vast majority of the research efforts in finite capacity scheduling over the past several years has focused on the generation of precise and almost exact measures for the working schedule presupposing complete information ...
Cost model development using virtual manufacturing and data mining: part I—methodology development
This paper reports on research, the aim of which has been to investigate the use of virtual manufacturing and data mining techniques to automate the identification of manufacturing process time estimating relationships ...
A Multi-Objective Optimization Approach Using Genetic Algorithms to Reduce the Level of Variability from Flow Manufacturing
(IEEE Press, 2012)
This paper exemplifies a framework for development of multi-objective genetic algorithm based job sequencing method by taking account of multiple resource constraints. Along this, Theory of Constraints based Drum-Buffer-Rope ...
Web-based Metadata Retrieval Tool for Fine Art and Games Artwork
(IEEE Systems, Man and Cybernetics Society (SMC), 2013-08-14)
Developers in art sector are faced with many problems during development of a new product (e.g. game). Resourcing of existing artworks, planning of the product development and commercialisation of their artworks are ...
Integration of discrete event simulation with an automated problem identification.
(IMECS– International Multi-Conference of Engineers and Computer Scientists, 2010-03)
Integration of Design of Experiments with Discrete event Simulation for Problem Identification
Lean is acknowledged as one of the key tools for manufacturing organizations and service industry to survive in the competitive environment. Lean approach focuses on continuous improvement by eliminating process waste. ...
Job Sequence Optimisation Using Combinatorial Evolutionary Approach in High Variety/Low Volume Manufacturing Environment
(International Journal of Scientific & Engineering Research, 2013-07-01)
Today’s manufacturing industry is been through unprecedented degree of change in terms of high variety and low volume, high value, global competition, shortened product life cycles, change is management strategies, increasing ...