QSM 768

[vc_row][vc_column][vc_column_text el_class=”course_syllabi_title”]

QSM 768
Advanced Benchmarking and Benchmarking Tools in a Virtual Environment

[/vc_column_text][vc_column_text css=”.vc_custom_1471823359441{border-right-width: 1px !important;border-left-width: 1px !important;background-color: #ffffff !important;border-left-color: #cccccc !important;border-left-style: solid !important;border-right-color: #cccccc !important;border-right-style: solid !important;border-radius: 1px !important;}” el_class=”course_syllabi_info”]



notebook-53 Credits

[/vc_column_text][vc_column_text el_class=”course_syllabi_body”]Course Description
This course builds core competency in primary and secondary benchmarking. The course then employs knowledge gained from benchmarking and the utilization of the define-measure-analyze-improve-control (DMAIC) model to support quality improvement in processes. The course builds practical knowledge and understanding of how data collected through benchmarking may if applied to increase productivity and change. The course also extends knowledge of the development and history of benchmarking by comparing classic essays such as the House of Quality and contemporary benchmarking examples. quality-based tools such as the radar chart illustrate the use of benchmarking for competitive advantage. The skills and vocabulary are taught through examples which are relevant to the students’ experience. Examples are drawn from internet marketing to underscore the point that organizations are using benchmarking to compete for attributes which customers prize, such as most miles per gallon gasoline usage, or lowest life cycle cost of the product or service.

Advanced benchmarking is required in the doctoral project. Dissertation projects must show that the performance metrics by which the projects are assessed are relevant to the performance metrics and are drawn from such fundamental tools as the customer requirements matrix (CRM).

This course focuses on the virtual environment to reflect the internet-era awareness of tools by which contemporary benchmarking is mainly accomplished.

Course Format
This course is delivered in on-line modules complemented by off-line review and assistance. On-site, in person meetings are offered when possible.

Course Goals
Deliver doctoral level knowledge of principles and best practices of primary and secondary benchmarking.

Course Objectives

  • Teach how primary and secondary benchmarking assist assessment of project results
  • Explain and demonstrate the skilled calculation of return on investment (ROI) from primary and secondary benchmarking data
  • Discuss systematic applications of primary and secondary benchmarking data within the define- measure-analyze-improve-control (DMAIC) model to improve processes

[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_widget_sidebar sidebar_id=”avada-custom-sidebar-sendmessage”][/vc_column][/vc_row]