Forecasting quality in robotic controller supply chain

Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017.

Bibliographic Details
Main Author: Patel, Sonny
Other Authors: Roy Welsch and Kamal Youcef-Toumi.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/112487
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author Patel, Sonny
author2 Roy Welsch and Kamal Youcef-Toumi.
author_facet Roy Welsch and Kamal Youcef-Toumi.
Patel, Sonny
author_sort Patel, Sonny
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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.
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spelling mit-1721.1/1124872022-01-27T21:28:01Z Forecasting quality in robotic controller supply chain Patel, Sonny Roy Welsch and Kamal Youcef-Toumi. 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, 2017. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 53-54). Between 2017 and 2019, industrial robot installations are estimated to increase by 13% on average per year. As the industrial robot market has grown, so too have customer demands. Many industrial robot manufacturers are in a position to capture this growth by improving in on-time delivery, quality performance, and product offerings. This master's thesis is devoted to providing manufacturers methods for increasing quality performance for robotic controllers. To improve quality performance, we focus on finding the connection between controller quality performance at suppliers, manufacturing, and customer sites. We consider this valuable in the context of a manufacturer's R&D to set operational quality targets and predict the cascade effect in the supply chain. This study includes a deep dive in quality performance and methods to predict future performance. The analysis includes a look at quality metrics in the robot industry. We forecast future performance against these metrics using an available dataset and regression modeling. Because we do not discover strong regression models, we propose dataset statistics to forecast future quality performance. We have 2 recommendations based on our research. Moving forward, we recommend increasing transparency for quality data collection to create a more robust model with stronger prediction capabilities. We also recommend a total cost of quality approach in determining ideal quality metrics. by Sonny Patel. M.B.A. S.M. 2017-12-05T19:15:01Z 2017-12-05T19:15:01Z 2017 2017 Thesis http://hdl.handle.net/1721.1/112487 1011505443 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 60 pages application/pdf Massachusetts Institute of Technology
spellingShingle Sloan School of Management.
Mechanical Engineering.
Leaders for Global Operations Program.
Patel, Sonny
Forecasting quality in robotic controller supply chain
title Forecasting quality in robotic controller supply chain
title_full Forecasting quality in robotic controller supply chain
title_fullStr Forecasting quality in robotic controller supply chain
title_full_unstemmed Forecasting quality in robotic controller supply chain
title_short Forecasting quality in robotic controller supply chain
title_sort forecasting quality in robotic controller supply chain
topic Sloan School of Management.
Mechanical Engineering.
Leaders for Global Operations Program.
url http://hdl.handle.net/1721.1/112487
work_keys_str_mv AT patelsonny forecastingqualityinroboticcontrollersupplychain