Capacity And Resource Planning For An Engineering Technology Department
- Conference
- Location
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Austin, Texas
- Publication Date
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June 14, 2009
- Start Date
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June 14, 2009
- End Date
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June 17, 2009
- ISSN
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2153-5965
- Conference Session
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Issues and Direction in ET Education and Administration: Part I
- Tagged Division
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Engineering Technology
- Page Count
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12
- Page Numbers
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14.303.1 - 14.303.12
- DOI
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10.18260/1-2--5382
- Permanent URL
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https://peer.asee.org/5382
- Download Count
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1885
Paper Authors
Daniel Johnson Rochester Institute of Technology
Daniel P. Johnson is an Associate Professor and Department Chair in the Manufacturing and Mechanical Engineering Technology/Packaging Science Department at Rochester Institute of Technology. He is the past Program Chair for Manufacturing Engineering Technology and teaches courses in manufacturing operations, automation, robotics, computer aided manufacturing and operations strategy. Prior to joining the MMET/PS Faculty he was Director of RIT’s Manufacturing Management and Leadership Program and Engineering Manager for the Center for Integrated Manufacturing Studies. His industrial experience includes work as an Advanced Manufacturing Engineer for Allied Signal. He has a Master of Engineering Degree in Manufacturing and a BS in Industrial and Manufacturing Engineering from RIT as well as an AAS in Engineering Science from Hudson Valley Community College.
Brian Thorn Rochester Institute of Technology
Brian K. Thorn is an associate professor in the Industrial and Systems Engineering Department at the Rochester Institute of Technology in New York. He received a B.S. in Industrial Engineering from the Rochester Institute of Technology, an M.S. and Ph.D. from the Georgia Institute of Technology. His research interests include sustainable product and process design, life cycle analysis and applied statistical methods.
Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract
Capacity and Resource Planning for an Engineering Technology Department Abstract:
In the business world, capacity and resource planning involves the management of production and service resources such that the enterprise is able to respond to the needs of its customers. Choices regarding the quantity, location, type and organization of these resources have a direct impact on the financial success and survival of the corporation. As markets, competition and customer requirements change organizations are often faced with reinventing their production and service systems to adapt to these needs. Contemporary production systems such as lean manufacturing and classical industrial engineering efforts have created many tools and techniques to address the issues of capacity and resource planning. These tools and techniques can be adapted, some more successfully than others, to the management of resources in engineering technology academic operations.
Variability in freshman and transfer enrollment, online learning technology, laboratory and project intensive coursework, retention efforts, the demands of sponsored research and a variety of other issues create a challenging environment for those responsible for providing the resources necessary for effective and efficient operation of an engineering technology department. This paper outlines the use of capacity and resource planning tools and techniques to manage the current operations of an academic department and to plan for likely future scenarios. Techniques and topics include hoshin planning, production strategy options, aggregate planning, Monte Carlo simulation, capacity/flow models, theory of constraints, and heijunka production leveling. This variety of classical and contemporary production tools and techniques are presented and adapted to use in academic operations. Sample applications are presented and findings include highlights of techniques found to be particularly effective as planning and management tools.
Johnson, D., & Thorn, B. (2009, June), Capacity And Resource Planning For An Engineering Technology Department Paper presented at 2009 Annual Conference & Exposition, Austin, Texas. 10.18260/1-2--5382
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