Business process improvement using axiomatic design and object-process methodology

This thesis introduces AD-OPM BPI, which is a new method of conducting business process improvement using both Axiomatic Design and Object-Process Methodology. The premise underlying the method is that modern process improvement techniques boast large efficiency gains, but fail to address the broader process system. Through first using Axiomatic Design to map and optimize the process system, broader-inefficiencies will be addressed before they constrain individual processes. Then Object-Process Methodology is conducted for process-specific optimization by utilizing modern system architecture layering principles to identify nonvalue-adding entities and improve them through deletion or simplification. A case study at a large aerospace manufacturing company demonstrates the method in practical application. Results suggest that application is better suited to new or small-scale systems due to the challenge of applying Axiomatic Design to pre-existing large scale systems. Despite this limitation, Object-Process Methodology remains a viable option for business process improvement, whether or not it is coupled with Axiomatic Design in AD-OPM BPI.

Department dc:contributor.department

Massachusetts Institute of Technology. Engineering and Management Program

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2016

Author dc:creator

• Casebolt, Jason M. (Jason MacArthur)

Advisor dc:contributor.advisor

• Dov Dori.

• Engineering and Management Program.
• System Design and Management Program.
• Engineering Systems Division.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/106242

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/106242