In the summer of , 11 students from Cal Poly and 22 from ZJUT studied quality engineering and worked together in teams to identify and solve real-world engineering challenges using JMP. Students then built upon what they learned by preparing a team project. In it, they were asked to identify an engineering problem for quality improvement within an existing system — a hospital, bank or transportation network, for example — collect data pertinent to that problem, analyze the data, prepare a presentation and produce a report.
Cal Poly also offers engineering students a unique opportunity to study abroad in China. Coursework in quality engineering is enhanced with an independent project component in which students are challenged to design solutions to real-world engineering problems. You can change your graphs to fit into presentations really nicely and manipulate the axes to show the data you really want to focus on. When one team observed lengthy wait times and an inefficient registration system at a local hospital in Hangzhou, the students saw an opportunity for improvement.
They set about engineering a solution that would improve the patient experience. To do so, they began by collecting data: number of patients by time of day, duration of wait times and length of time spent in the registration process. Students then analyzed the data and made improvement recommendations. The project definitely helped me learn statistical process control and a number of different quality modules, looking at the charts that were available.
The interface that JMP has is very nice—you can use the raw data to create charts and analyze and interpret the data. With so many global manufacturing companies looking to hire top-notch graduates, Pan ensures that his students leave Cal Poly with the right toolkit — a superior understanding of engineering concepts and theory, a demonstrated ability to work collaboratively with peers of all backgrounds and nationalities, and experience with the technologies of the trade.
Pan in China, I expanded my understanding of ways to process large quantities of data. Now a leading global photonics manufacturer, Coherent builds customized laser solutions for a host of industries.
Director of Operations Melisa Buie, PhD, got her start at the Naval Research Lab doing computational development, after which she joined with colleagues in a startup to develop in-situ plasma diagnostic sensors. Once she began her work with Coherent, however, she was hooked.
Coherent has consistently risen to these challenges over the last 50 years, making the company a leader in the photonics space. Ensuring high quality and identifying innovative applications for its technology are key to helping Coherent maintain its position in its existing markets while also breaking into new areas.
Coherent takes this concept a step further with C-Lean, or Coherent Lean, which uses lean principles tailored to their specific operations. As a Lean Six Sigma black belt, Buie is a strong proponent of integrating lean principles into the manufacturing process, and as Director of Operations, her ability to apply these principles and recognize opportunities for improvement facilitates her success.
As increasing amounts of data become available from each phase of production, the operations team can apply these lean principles into a wider range of variables, allowing them to identify problems earlier in the process and use more in-depth statistics for their decision making.
However, with this abundant data comes challenges. Multiple data sets from different locations in unintegrated software platforms have to be combined and standardized into a single data set in order to be useful, and this causes significant delays in the analytical process.
Another challenge is the time required for actual data collection by the operations team. Although Coherent had a corporate license for another software package, Buie and a few colleagues insisted that JMP was critical to their work and were granted access.
Many of the most successful JMP users are also the best connected ones. These are the scientists, engineers and other data explorers who join with colleagues and peers inside and outside of their organizations to share best practices in data exploration and learn from their peers.
Users groups give you the opportunity to enhance your presentation skills in the comfortable environment of peer meetings and practice your management skills by taking on leadership roles. If there is no users group in your area or focused on your special interest, we can help you start one. How do we help? JMP recognizes many kinds of users groups and offers resources to help them grow and remain active.
0コメント