Aaron Armstrong, Ph.D. profile photo

Aaron Armstrong, Ph.D.

Associate Professor | Mechanical Engineering

Milwaukee, WI, UNITED STATES

Dr. Aaron Armstrong is a thought leader in operational coordination and system optimization.

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Image for vimeo videos on The World Bike project

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

Dr. Aaron Armstrong is an Associate Professor of Mechanical Engineering in the Industrial Engineering program at the Milwaukee School of Engineering. Aaron’s research and consulting activity focuses primarily on process improvement and product development with focuses on innovation and technology development, mass customization, process modelling and simulation, value engineering, project management, financial engineering, entrepreneurship, and supply-chain coordination. Aaron previously worked for John Deere for ten years as a supplier development engineer, supervisor, and manager. During this time, Aaron and his staff of engineers worked with hundreds of companies around the world in helping them become more flexible and cost effective. In addition, Aaron’s previous work experience includes setting up and running a second-tier automotive supplier, design engineering, light-metals fabrication, chemical research and development, and aerospace production.

Areas of Expertise

BusinessIndustrial EngineeringSystem OptimizationManufacturing Systems Engineering

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.

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Selected Publications

Methods of learning in product development contexts | American Journal of Industrial and Business Management

Dalmaz, 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.

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Lean Needs both Pictures | Industrial Engineer Magazine

Armstrong, A., Diehl, G.

2015

Making MRP Work | Industrial Engineer - Engineering and Management Solutions at Work

Diehl, G., Armstrong, A.

2011

The allocation of berths and quay cranes by using a sub-gradient optimization technique | Computers & Industrial Engineering

Zhang, 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.

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QRM in Action: Mass Customization in Lawn and Garden Tractor Production | Sixth International Conference on Quick Response Manufacturing

Armstrong, A.,

2006