An improved reliability assessment of a modular robot controller

Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2018.

Bibliographic Details
Main Author: Hausladen, Heather
Other Authors: Kamal Youcef-Toumi and Roy Welsch.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2018
Subjects:
Online Access:http://hdl.handle.net/1721.1/117970
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author Hausladen, Heather
author2 Kamal Youcef-Toumi and Roy Welsch.
author_facet Kamal Youcef-Toumi and Roy Welsch.
Hausladen, Heather
author_sort Hausladen, Heather
collection MIT
description Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2018.
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spelling mit-1721.1/1179702022-01-27T21:24:42Z An improved reliability assessment of a modular robot controller Hausladen, Heather Kamal Youcef-Toumi and Roy Welsch. Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management Sloan School of Management. Mechanical Engineering. 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, 2018. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018. "June 2018." Cataloged from PDF version of thesis. Includes bibliographical references (pages 88-90). Modular industrial robot systems are well suited for high performance-accuracy, repeatability and speed, or shorter cycle times. Additionally, modular architecture supports flexibility. Modular robot systems are easily adaptable to a wide range of customer applications. A third characteristic of the robot system-reliability-is becoming increasingly important as industrial manufacturing processes and products increase in complexity and the costs associated with robot failure such as production line downtime increase. This project melds new advances in physics of failure science for electrical components with traditional industrial reliability engineering tools. The author develops three modelling approaches for a robot controller drive system. A function block diagram, highlights the main functions in the drive and their interdependencies. Reliability block diagrams estimate the reliability of controller drive system hardware. Finally, a predictive maintainability model is developed to illustrate future use of reliability model results for real-time monitoring in robot service applications. This final model is created by adding physics of failure models at the component level to the system-level reliability models developed earlier in the thesis. The result is twofold. 1) An improved estimate of hardware module reliability and its sensitivity to the selection of components and circuit designs. 2) A new framework to monitor and predict hardware wear-out in real-time. The author identifies simple, quality metrics such as reliability and availability. These metrics are intimately connected to the customer experience. Additionally, this thesis outlays how to translate these customer-driven metrics back into measurable quality targets upstream in the value chain. This creates an integrated approach to quality across the robot system value chain. With these results, this thesis impacts tangible improvements across multiple dimensions: customer satisfaction, field service planning and investment, new product introduction projects, and next generation product design to support industry 4.0. by Heather Hausladen. M.B.A. S.M. 2018-09-17T15:52:02Z 2018-09-17T15:52:02Z 2018 Thesis http://hdl.handle.net/1721.1/117970 1051237892 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 93 pages application/pdf Massachusetts Institute of Technology
spellingShingle Sloan School of Management.
Mechanical Engineering.
Leaders for Global Operations Program.
Hausladen, Heather
An improved reliability assessment of a modular robot controller
title An improved reliability assessment of a modular robot controller
title_full An improved reliability assessment of a modular robot controller
title_fullStr An improved reliability assessment of a modular robot controller
title_full_unstemmed An improved reliability assessment of a modular robot controller
title_short An improved reliability assessment of a modular robot controller
title_sort improved reliability assessment of a modular robot controller
topic Sloan School of Management.
Mechanical Engineering.
Leaders for Global Operations Program.
url http://hdl.handle.net/1721.1/117970
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