Automation techniques for short interval scheduling in a complex manufacturing environment

Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT. === Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2016. In conjunct...

Full description

Bibliographic Details
Main Author: Baxter, Stephen Paul
Other Authors: Oli de Weck and Juan Pablo Vielma.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2016
Subjects:
Online Access:http://hdl.handle.net/1721.1/104319
id ndltd-MIT-oai-dspace.mit.edu-1721.1-104319
record_format oai_dc
spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1043192019-05-02T15:53:27Z Automation techniques for short interval scheduling in a complex manufacturing environment Baxter, Stephen Paul Oli de Weck and Juan Pablo Vielma. 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, 2016. In conjunction with the Leaders for Global Operations Program at MIT. Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2016. In conjunction with the Leaders for Global Operations Program at MIT. Cataloged from PDF version of thesis. Includes bibliographical references (page 43). Aircraft Company X (ACX) designs and manufactures aircraft. ACX operates Manufacturing Center 1 which produces parts and assemblies for both assembly and spares business lines. Accurate scheduling is crucial for meeting demand and the on time delivery of parts, a key driver of customer satisfaction. Managers currently use a manual process to generate a short interval schedule for production in this volatile, high variety, low volume environment with reentrant flow. The current process is not only time consuming but also disrupts coordination between supporting functions. This thesis explores the challenges of developing and implementing an automated scheduling tool in a flexible job shop with re-entrant flow, part families, sequence dependent set-up times, and machine eligibility restrictions. First, a model is developed from current scheduling rules used by shop floor supervisors. The model uses the earliest due date dispatching rule and part family information to schedule a group of parallel machines. This model is then incorporated into a scheduling tool, which is implemented and tested in the plant. Finally, the results of the implementation are discussed along with improvement to the tool. The purposed tool demonstrated during testing the ability to save a significant amount of the supervisors' time by reducing their involvement in scheduling, to reduce set-up times by grouping similar parts, and to align support functions by providing a unified build plan for the plant. by Stephen Paul Baxter. M.B.A. S.M. in Engineering Systems 2016-09-13T19:25:06Z 2016-09-13T19:25:06Z 2016 2016 Thesis http://hdl.handle.net/1721.1/104319 958279179 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 43 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.
Baxter, Stephen Paul
Automation techniques for short interval scheduling in a complex manufacturing environment
description Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT. === Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2016. In conjunction with the Leaders for Global Operations Program at MIT. === Cataloged from PDF version of thesis. === Includes bibliographical references (page 43). === Aircraft Company X (ACX) designs and manufactures aircraft. ACX operates Manufacturing Center 1 which produces parts and assemblies for both assembly and spares business lines. Accurate scheduling is crucial for meeting demand and the on time delivery of parts, a key driver of customer satisfaction. Managers currently use a manual process to generate a short interval schedule for production in this volatile, high variety, low volume environment with reentrant flow. The current process is not only time consuming but also disrupts coordination between supporting functions. This thesis explores the challenges of developing and implementing an automated scheduling tool in a flexible job shop with re-entrant flow, part families, sequence dependent set-up times, and machine eligibility restrictions. First, a model is developed from current scheduling rules used by shop floor supervisors. The model uses the earliest due date dispatching rule and part family information to schedule a group of parallel machines. This model is then incorporated into a scheduling tool, which is implemented and tested in the plant. Finally, the results of the implementation are discussed along with improvement to the tool. The purposed tool demonstrated during testing the ability to save a significant amount of the supervisors' time by reducing their involvement in scheduling, to reduce set-up times by grouping similar parts, and to align support functions by providing a unified build plan for the plant. === by Stephen Paul Baxter. === M.B.A. === S.M. in Engineering Systems
author2 Oli de Weck and Juan Pablo Vielma.
author_facet Oli de Weck and Juan Pablo Vielma.
Baxter, Stephen Paul
author Baxter, Stephen Paul
author_sort Baxter, Stephen Paul
title Automation techniques for short interval scheduling in a complex manufacturing environment
title_short Automation techniques for short interval scheduling in a complex manufacturing environment
title_full Automation techniques for short interval scheduling in a complex manufacturing environment
title_fullStr Automation techniques for short interval scheduling in a complex manufacturing environment
title_full_unstemmed Automation techniques for short interval scheduling in a complex manufacturing environment
title_sort automation techniques for short interval scheduling in a complex manufacturing environment
publisher Massachusetts Institute of Technology
publishDate 2016
url http://hdl.handle.net/1721.1/104319
work_keys_str_mv AT baxterstephenpaul automationtechniquesforshortintervalschedulinginacomplexmanufacturingenvironment
_version_ 1719030392655183872