Aaron Armstrong, Ph.D.
Associate Professor
- Milwaukee WI UNITED STATES
- Mechanical Engineering
Dr. Aaron Armstrong is a thought leader in operational coordination and system optimization.
Multimedia
Education, Licensure and Certification
Ph.D.
Industrial and Systems Engineering
University of Wisconsin-Madison
2010
M.S.
Business
University of Wisconsin-Madison
1998
M.S.
Manufacturing Systems Engineering
University of Wisconsin-Madison
1996
B.S.
Chemical Engineering
University of Wisconsin-Madison
1993
Biography
Areas of Expertise
Social
Media Appearances
Something new on 2 (or more) wheels: MSOE hosts Intl. Bicycle & Motorcycle Dynamics Conference
Fox 6 Milwaukee tv
2016-09-21
The triennial International Bicycle and Motorcycle Dynamics Conference was held in Milwaukee on September 21st to 23rd (http://www.bmd2016mke.org/). The conference was co-organized by Assistant Professor Aaron Armstrong of the Mechanical Engineering Department. Two events were held at MSOE including a pre-conference unicycling tutorial supported by the MSOE Unicycle Club. The second occasion was a catered event held in the field House of the Kern Center where the over one hundred attendees were able to ride a variety of mechanically interesting bicycles and trikes. This event was covered in a feature story by Fox Channel 6 news.
Selected Publications
Methods of learning in product development contexts
American Journal of Industrial and Business ManagementDalmaz, A., Possamai, O., Armstrong, A.J.
2015
Learning is an important factor for the success of a company. And individual learning is the fundamental unit of the company’s learning. Given the importance of this relationship, this research aims to search what are the methods that project members use to learn in a product development context. To answer this question, a literature review was carried out to identify different methods of learning and its descriptions. Thirteen different methods were identified: eight formal and five informal methods. Wherein the latter is the most used to transfer knowledge among projects. Methods can be divided, also, on methods to register knowledge and to gather information. Informal methods are unmanageable by their nature. So it is hard to control if they are really transferring good practices among project members. So it’s important for the company to support formal ways of learning transfer rather than relying on informal ways. Among identified methods, post project review is an example of a method well studied in the literature. It was even included in the PMBOK as a good practice of project management. On the other hand, active learning within the product development context needs further studies. Other methods are individual experience, individual registers, and individual checklists, learning through project leaders, stories and metaphors, after action review, micro articles, learning histories, learning database, checklists and company documentation. Finally, opportunities for further research were identified and suggested.
Lean Needs both Pictures
Industrial Engineer MagazineArmstrong, A., Diehl, G.
2015
Making MRP Work
Industrial Engineer - Engineering and Management Solutions at WorkDiehl, G., Armstrong, A.
2011
The allocation of berths and quay cranes by using a sub-gradient optimization technique
Computers & Industrial EngineeringZhang, C., Zheng, L., Zhang, Z., Shi, L., Armstrong, A.J.
2010
This paper examines the allocation of berths and quay cranes for vessels arriving at container terminals. Previous work in this area has either ignored or deemphasized the coverage range limitations of quay cranes or imposed too loose or too rigid assumptions about whether quay cranes can be adjusted during loading and discharging, thus making the extracted models less applicable to the actual situation. This paper takes into consideration the coverage ranges of quay cranes and allows for limited adjustments of quay cranes during loading and discharging. A mixed integer programming model is constructed, and a sub-gradient optimization algorithm is applied to solving the problem. Using actual data, the performance of the algorithm is demonstrated.
QRM in Action: Mass Customization in Lawn and Garden Tractor Production
Sixth International Conference on Quick Response ManufacturingArmstrong, A.,
2006
