Systems thinking applied to automation and workplace safety

Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017. === Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, in conjunction with the Leaders for Glob...

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Main Author: Peper, Nathaniel Arthur
Other Authors: Nancy G. Leveson and John S. Carroll.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/111586
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1115862019-05-02T15:51:19Z Systems thinking applied to automation and workplace safety Systems-Theoretic Process Analysis Peper, Nathaniel Arthur Nancy G. Leveson and John S. Carroll. Leaders for Global Operations Program. Sloan School of Management. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Leaders for Global Operations Program. Sloan School of Management. Aeronautics and Astronautics. Leaders for Global Operations Program. Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017. Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, in conjunction with the Leaders for Global Operations Program at MIT, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 107-109). This thesis presents the results of a study to compare Systems-Theoretic Process Analysis (STPA), a hazard analysis methodology based on a new model of accident causation called Systems-Theoretic Accident Model and Processes (STAMP), with the traditional assessments recommended by industry standards for analyzing safety risks in modern manufacturing workplaces that are increasingly incorporating automated systems. These increasingly complex, modern socio-technical systems are introducing new problems in the manufacturing environment that traditional methods of analysis were not designed to analyze. While these traditional methods have previously proven effective at analyzing hazards, the increasing levels of complexity and technological advancement in the factories are surpassing the limits of traditional assessment capabilities. Today's continuous search for opportunities to automate manufacturing process makes this a critical time to ensure that the hazard analysis methodologies in use are capable of providing an effective and efficient analysis. STAMP and STPA were developed specifically to understand and analyze modern, complex socio-technical systems that are introducing new types of accidents with causes beyond traditional component failures. This thesis provides background and discussion of traditional models and methods, of the current industry standard method, and of the proposed method. The current and proposed methods are then used on an actual semi-automated manufacturing process being implemented in an aerospace manufacturing company and analyzed with a set of criteria to determine their effectiveness and efficiency. The results of this analysis determine that STPA is better equipped for the modern manufacturing environment. by Nathaniel Arthur Peper. M.B.A. S.M. 2017-09-18T14:39:43Z 2017-09-18T14:39:43Z 2017 2017 Thesis http://hdl.handle.net/1721.1/111586 1003325097 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 109 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Sloan School of Management.
Aeronautics and Astronautics.
Leaders for Global Operations Program.
spellingShingle Sloan School of Management.
Aeronautics and Astronautics.
Leaders for Global Operations Program.
Peper, Nathaniel Arthur
Systems thinking applied to automation and workplace safety
description Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017. === Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, in conjunction with the Leaders for Global Operations Program at MIT, 2017. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 107-109). === This thesis presents the results of a study to compare Systems-Theoretic Process Analysis (STPA), a hazard analysis methodology based on a new model of accident causation called Systems-Theoretic Accident Model and Processes (STAMP), with the traditional assessments recommended by industry standards for analyzing safety risks in modern manufacturing workplaces that are increasingly incorporating automated systems. These increasingly complex, modern socio-technical systems are introducing new problems in the manufacturing environment that traditional methods of analysis were not designed to analyze. While these traditional methods have previously proven effective at analyzing hazards, the increasing levels of complexity and technological advancement in the factories are surpassing the limits of traditional assessment capabilities. Today's continuous search for opportunities to automate manufacturing process makes this a critical time to ensure that the hazard analysis methodologies in use are capable of providing an effective and efficient analysis. STAMP and STPA were developed specifically to understand and analyze modern, complex socio-technical systems that are introducing new types of accidents with causes beyond traditional component failures. This thesis provides background and discussion of traditional models and methods, of the current industry standard method, and of the proposed method. The current and proposed methods are then used on an actual semi-automated manufacturing process being implemented in an aerospace manufacturing company and analyzed with a set of criteria to determine their effectiveness and efficiency. The results of this analysis determine that STPA is better equipped for the modern manufacturing environment. === by Nathaniel Arthur Peper. === M.B.A. === S.M.
author2 Nancy G. Leveson and John S. Carroll.
author_facet Nancy G. Leveson and John S. Carroll.
Peper, Nathaniel Arthur
author Peper, Nathaniel Arthur
author_sort Peper, Nathaniel Arthur
title Systems thinking applied to automation and workplace safety
title_short Systems thinking applied to automation and workplace safety
title_full Systems thinking applied to automation and workplace safety
title_fullStr Systems thinking applied to automation and workplace safety
title_full_unstemmed Systems thinking applied to automation and workplace safety
title_sort systems thinking applied to automation and workplace safety
publisher Massachusetts Institute of Technology
publishDate 2017
url http://hdl.handle.net/1721.1/111586
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