Case Study - Furniture Production Line Layout
Layout Design of a Furniture Production Line Using Formal Methods
Case Study
Table of Contest 1.0 Introduction…………………………………………………………………………. 2.0 Modeling Approaches………………………………………………………………. 3.1 Graph Theory……………………………………………………………….. 3.2 CRAFT ……………………………………………………………………… 3.3 Optimum Sequence …………………………………………………………. 3.4 BLOCKPLAN ……………………………………………………………… 3.5 Genetic Algorithm ………………………………………………………….. 3.0 Application of the Modeling Approaches…………………………………………… 4.6 Using Graph Theory………………………………………………………….. 4.7 Using CRAFT………………………………………………………………… 4.8 Using Optimum Sequence………………………………………………….. 4.9 Using BLOCPLAN……………………………………………………….. 4.10 Using Genetic Algorithm…………………………………………………… 4.0 Comparisons of experimentation results by AHP………………………………….. 5.0 Conclusion………………………………………………………………………….. 6.0 References………………………………………………………………………….
1.0 Introduction
In any manufacturing company there is many issues and problem that is affected by different situation. So, the companies need to have method to solve and adapt to these situation. In this case study, the furniture company faces a lot of layout problem which needs to methods to reduce manufacturing costs, improve quality. It came up with many approaches that will help it to solve this problem. The case experiments application of different heuristic approaches to real facility layout problem at a furniture manufacturing company. All these approaches help also to know the productivity for this company.
2.0 Modeling Approaches
Graph Theory
Bloc Plan
Craft
Optimum Sequence
Genetic Algorithm
So, the company decided to apply a number of layout modeling techniques to generate a near optimal layout based on formal methods that are rarely used in practice.
2.1 Graph Theory
In the branch of mathematics called Graph Theory, a graph bears no relation to the graphs that chart data, such as the progress of the stock market or the growing population of the
Case Study
Table of Contest 1.0 Introduction…………………………………………………………………………. 2.0 Modeling Approaches………………………………………………………………. 3.1 Graph Theory……………………………………………………………….. 3.2 CRAFT ……………………………………………………………………… 3.3 Optimum Sequence …………………………………………………………. 3.4 BLOCKPLAN ……………………………………………………………… 3.5 Genetic Algorithm ………………………………………………………….. 3.0 Application of the Modeling Approaches…………………………………………… 4.6 Using Graph Theory………………………………………………………….. 4.7 Using CRAFT………………………………………………………………… 4.8 Using Optimum Sequence………………………………………………….. 4.9 Using BLOCPLAN……………………………………………………….. 4.10 Using Genetic Algorithm…………………………………………………… 4.0 Comparisons of experimentation results by AHP………………………………….. 5.0 Conclusion………………………………………………………………………….. 6.0 References………………………………………………………………………….
1.0 Introduction
In any manufacturing company there is many issues and problem that is affected by different situation. So, the companies need to have method to solve and adapt to these situation. In this case study, the furniture company faces a lot of layout problem which needs to methods to reduce manufacturing costs, improve quality. It came up with many approaches that will help it to solve this problem. The case experiments application of different heuristic approaches to real facility layout problem at a furniture manufacturing company. All these approaches help also to know the productivity for this company.
2.0 Modeling Approaches
Graph Theory
Bloc Plan
Craft
Optimum Sequence
Genetic Algorithm
So, the company decided to apply a number of layout modeling techniques to generate a near optimal layout based on formal methods that are rarely used in practice.
2.1 Graph Theory
In the branch of mathematics called Graph Theory, a graph bears no relation to the graphs that chart data, such as the progress of the stock market or the growing population of the
References: Arifinfo. (2012). Facility Layout design by BLOCPLAN. Opetation manament. Engineering and industrial management http://arifinfo.com/2012/02/13/facility-layout-design-by-using-blocplan/ Heragu, S.(2006). Facilities design secondth edition. United states of America. Fritsch, A. (Dec 19, 1994). Slicing Tree. Retrieved from April 6, 2012: http://www.informatik.uni-osnabrueck.de/papers_html/or_94/node5.html N,N. N,D. Advantages and disadvantages of genetic algorithms. Retrieved from April 10, 2012: http://robin2.uni-mb.si/predmeti/int_reg/Predavanja/Eng/3.Genetic%20algorithm/_18.html Russell, Roberta S. and Taylor III, Bernard W. Operations Management 4th edition. Upper Saddle river, New Jersey: Prentice Hall, 2003. Wooyeon, Yu (2004). Layout Planning Models and Design Algorithms, Myong JI university. Jensen, P. (2004). Facility Layout. Operation management. Industrial Engineering http://www.me.utexas.edu/~jensen/ORMM/omie/computation/unit/lay_add/lay_sequential.html