Search
Now showing items 1-5 of 5
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 ...
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
(2010)
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 ...
Multi-Objective Optimization Approach Using Genetic Algorithms for Quick Response to Effects of Variability in Flow Manufacturing
(Science and Information Society (SAI), 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 ...
