Massachusetts Institute of Technology
Opportunities for System Dynamics Research in Operations Management for Public Policy
Abstract
dc:description.abstractOperations management in the public policy context is extremely complex with many mutually interacting factors characterized by feedback loops, delays and nonlinearities as well multiple stakeholders pursuing divergent objectives. Prior researchers have called for a systems approach in these contexts, arguing that standard OM methodologies such as mathematical programming, and queuing theory often cannot fully address these problems. In this work, we create a roadmap for researchers—both those who are familiar with systems dynamics and those who are not—for the expanded use of system dynamics studying public policy-related OM problems. We review and organize relevant system dynamics literature in both traditional operations management venues as well as public policy venues unfamiliar to OM audiences. We then identify a set of interesting open questions and potential system dynamics building blocks for answering them by topic. Leveraging this review, we describe under what conditions system dynamics is most appropriate. We then identify several overarching methodological and domain gaps for future research. Finally, we propose a process for using system dynamics with traditional operations management methodologies.
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Sloan School of Management
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2023
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Lopez, Jose
- Advisor dc:contributor.advisor
-
- Rahmandad, Hazhir
Rights
dc:rights- Statement dc:rights
-
- In Copyright - Educational Use Permitted
- Copyright retained by author(s)
- Licence dc:rights.uri
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/152631
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/152631