Introduction to Quantitative Management System (QMS)

Event Details

Date: June 23, 2021
Time: 1:00 p.m. – 4:00 p.m. (CDT)
Format: Virtual training session via Microsoft Teams
Registration deadline: June 21, 2021

QMS: Capacity Planning and Production Scheduling Software

Quantitative Management System (QMS) is a cloud-based software solution capable of modeling shopfloor operations to a great level of detail. It aims to bridge the gap between top-level management data from Enterprise Resource Planning (ERP) systems and shop floor operations – where unexpected events occur regularly. Using Dynamic Manufacturing Critical-path Time (DMCT), the QMS provides up-to-date metrics for each order. The software has the ability to monitor and report system-wide materials and inventory. Results include not only simple metrics like lead times, work in process (WIP), and utilization percentages, but also a full production scheduling plan showing anticipated order completions and delays.

Companies have found success using this software to perform long-term capacity planning and real-time scheduling. Using QMS, companies can make better-informed decisions that help improve their production and supply chain performance, while achieving faster response to disturbances in the system.

Easy to create models

Data required by QMS models is easy to obtain from an ERP system and input into the software using easy-to-follow Microsoft Excel templates.

What-if analysis gives users added insight

QMS is capable of performing what-if analyses that answer the question: “What would happen if I made a set of changes to my inputs?” These changes can be made live on the software, so a user can run many what-ifs using the same base dataset.

DMCT provides updated metrics for each order

The software uses the novel Dynamic Manufacturing Critical-path Time (DMCT) engine that exploits advanced informational techniques and simulation & optimization methods to manage each customer order’s MCT in real time, as opposed to using averages. By doing so, it tracks the critical path of every order and provides metrics that are continuously up to date.

Leyuan Shi, Director, Center for Quick Response Manufacturing

Leyuan Shi, Director, QRM Center

Dr. Leyuan Shi is the Director of the Center for Quick Response Manufacturing.  Professor Shi has been on the faculty of the University of Wisconsin-Madison for over twenty years and has worked with several companies including John Deere, Rockwell Automation, National Oilwell Varco, Fisher Barton and R&B Grinding. She is also one of the inventors of a set of digital tools including Manufacturing Execution Optimization (MEO), Maintenance Repair & Overhaul Optimization (MRO2), and Dynamic Manufacturing Critical-Path Time (DMCT).

Professor Shi received her Ph.D. in Applied Mathematics from Harvard University in 1992.  Her research interests include simulation modeling and large-scale optimization with applications to operational planning, scheduling, and digital supply chain management. She has developed a novel optimization framework that has been extensively applied to scheduling and optimization of job shops manufacturing high-mix, low-volume products. Her research work has been supported by the National Science Foundation, National Institutes of Health, Air Force Office of Scientific Research, Office of Naval Research, and the State of Wisconsin.

Dr. Shi has published 3 books and more than 130 papers. She currently serves as Editor for the IEEE Transactions on Automation Science and Engineering and served on the editorial board for Manufacturing & Service Operations Management and INFORMS Journal on Computing. She has been the General Chair, co-Chair, and program committee member for many national and international conferences. Professor Shi is an IEEE Fellow.

Harsh Joshi, PhD Candidate, University of Wisconsin-Madison

Harsh Joshi

Harsh Joshi is a PhD candidate at UW-Madison who has worked with the QRM Center on five QRM projects. He has built numerous QMS models for clients and has seen companies benefit extensively from its use. He will speak about creation of models and show some real-world results from QMS in practice in industry.

Event Schedule

Course from 1:00 p.m. to 4:00 p.m. (CDT).

Course handout to be provided.

Frequent breaks between sessions.

Course Fees

$345 per person.

Discounted fee for QRM Center members: $195 per person.

Fee covers online training session and presentation workbook PDF file.

Deadlines

Registration deadline: June 21, 2021

Register for this event