Creating And Working With Control Charts In Excel

With the growth in distance education offerings, instructors who now teach quantitative material via the web have been faced with many challenges.  Foremost has been the need to develop appropriate methods for teaching such material to students who are not physically in the classroom.  Methodologies that have traditionally been taught in a highly interactive mode in the classroom must now be presented effectively in a far more asynchronous environment.  Tutorials and detailed handouts are one way to accomplish this. We present a written tutorial for creating quality control charts using Excel.  The tutorial guides students through the process of creating X-bar and R charts in such a way as to reinforce the theoretical basis of quality control already taught.  Students apply their knowledge in hands-on activity, learn how to improve Excel’s default charts to create visually effective control charts, and learn to reuse/recycle their work to easily create additional charts for different sets of problem data

Co-Opetition Between SAP And Oracle: The Effects Of The Partnership And Competition On The Companies Success

This research paper presents the secondary research findings on the similarities and differences between the strategies of SAP and Oracle, reasons why customers choose one vendor over the other, and how the competition between SAP and Oracle affects their cooperation with each other.  This latter effect we refer to as co-opetition.  A summary and conclusions will follow a detailed discussion of the aforementioned factors of co-opetition between SAP and Oracle

Learning Business Process Simulation Via Experiential Learning

The use of discrete event simulation as a process analysis and improvement tool is no longer limited to industrial engineering curricula.  With advancements in desktop computing power, we have seen user-friendly simulation software packages become available (e.g. ProModel, Arena, ProcessModel). However, we have found it desirable that students still learn the very basic concepts behind these simulation models in order to better understand their development and use. We present a simple classroom game that teaches students the basic discrete-event simulation concepts and processes without requiring them to learn all the underlying mathematics and scientific theory