Bottlenecks in a Process
Jason Rodriguez
OPS/571
February 11, 2013
Scott Bruner
In week one’s assignment I designed a flowchart for the company to be more consistent about leaving at the right time for work so I am not late. Being able to see the amount of time it takes me to leave every morning has been interesting to see on paper. With any type of flowchart, bottlenecks can happen, which can prevent being late to work. What are bottlenecks? How will they be found? How does Goldratt’s Theory of Constraints is used in the process? These questions will be answered based on the data shown in week one’s assignment. Chase, Jacobs, and Aquilano define bottlenecks, “A constraint within the system that limits throughput”(2006, p.725). There has to be no constraints in the system so that the throughput is not limited. Li, Chang and Ni state, Quick and correct identification of the bottleneck locations can lead to an improvement in the operation management of utilizing finite manufacturing resources, increasing the system throughput, and minimizing the total cost of production”(2009, p.5019). In week one’s assignment you can identify my bottlenecks as waking up late and the pace of how I move. In the data I put how long it took me to leave, but I did not put the time I woke up and the time that I had to be at work. The shorter periods of time were the times I did wake up late and had to rush out the door. The longer times, was when I woke up at the appropriate time. Out of those times I did not put which days I got to work on time. Therefore, not waking up at the right time and moving slowly are bottlenecks that can be identified. Being on time to work is an important element to keeping a job. Those two elements are traits I have to overcome so I consistently can have the same times everyday. What are ways to overcome these bottlenecks? Applying Goldratt’s Theory of Constraints, I can
References: Chase, R.B., Jacobs, F., & Aquilano, N.J. (2006). Operations management for competitive advantage (11th ed.). New York, NY: McGraw Hill/Irwin. Li, L., Chang, Q., & Ni, J. (2009, September 15). Data driven bottleneck detection of manufacturing systems. International Journal of Production Research, 47(18), 5019-5036. Doi: 10.1080/00207540701881860