Computerized Relative Allocation Of Facilities Technique Craft
Computerized Relative Allocation of Facilities Technique, often referred to as CRAFT, is a mathematical model that is used to optimize the layout of facilities in a manufacturing plant. The model uses algorithms to determine the optimal location of machines and workstations based on a variety of factors, including the flow of materials and the movement of personnel. The goal of CRAFT is to minimize the cost of material handling and increase the efficiency of the manufacturing process.
The History of CRAFT
CRAFT was first introduced in 1960 by Richard Muther, who was a professor of Industrial Engineering at the Massachusetts Institute of Technology. Muther developed the model as a way to address the challenges that were arising in manufacturing plants as they grew in size and complexity. Prior to the development of CRAFT, facility layout was often done by trial and error, with little consideration given to the optimal placement of machines and workstations.
Over time, CRAFT became widely adopted by manufacturing companies around the world. The model has been refined and improved upon over the years, but the basic principles remain the same.
The Benefits of CRAFT
There are many benefits to using CRAFT to optimize facility layout. Perhaps the most significant benefit is the reduction in material handling costs. By optimizing the placement of machines and workstations, the distance that materials need to be transported is minimized. This leads to a reduction in labor costs, as well as a reduction in the time it takes to move materials from one area of the plant to another.
CRAFT also helps to increase the efficiency of the manufacturing process. By optimizing the layout of the facility, bottlenecks and other inefficiencies can be eliminated. This leads to a smoother flow of materials and personnel, which in turn leads to a faster production process and increased output.
How CRAFT Works
CRAFT works by using a mathematical model to analyze the layout of a manufacturing facility. The model takes into account a variety of factors, including the flow of materials, the movement of personnel, and the placement of machines and workstations.
The model then generates a number of different layout options, each of which is evaluated based on a set of predetermined criteria. These criteria might include factors such as material handling cost, proximity of machines and workstations, and overall efficiency of the manufacturing process.
Once the model has generated a number of different layout options, the best option is selected and implemented in the manufacturing plant. The process is then repeated periodically to ensure that the layout remains optimized as the manufacturing process evolves over time.
The Future of CRAFT
CRAFT has been around for over 60 years and has proven to be an effective way to optimize facility layout in manufacturing plants. However, as technology continues to evolve, new tools and techniques are emerging that may offer even greater benefits.
One area of potential growth for CRAFT is the use of artificial intelligence and machine learning. By incorporating these technologies into the model, it may be possible to generate even more accurate and efficient layout options.
Another area of growth for CRAFT is the application of the model to other industries beyond manufacturing. For example, the model could be used to optimize the layout of hospitals, airports, or other large facilities where the efficient movement of people and materials is critical.
Conclusion
CRAFT is a powerful tool that has been used by manufacturing companies around the world to optimize the layout of their facilities. By using algorithms to determine the optimal placement of machines and workstations, CRAFT helps to minimize material handling costs and increase the efficiency of the manufacturing process.
As technology continues to evolve, it is likely that new tools and techniques will emerge that will make CRAFT even more effective. However, for now, the model remains an essential tool for any company that is looking to improve the efficiency of their manufacturing process.