Back to results

Massachusetts Institute of Technology

Opportunities for System Dynamics Research in Operations Management for Public Policy

Abstract

dc:description.abstract

Operations 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)

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

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Lopez, Jose. Opportunities for System Dynamics Research in Operations Management for Public Policy. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/152631