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INtegrated
PROduction Management System (INPROMS) |
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A collaborative effort between
Oklahoma State University (OSU) and The University of Oklahoma (OU).
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Sponsor: |
The National Science Foundation |
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NSF Award Number: |
DMI-9300568 |
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Project Title: |
A
Framework for Integrated Production Planning and Scheduling in a
Hybrid Assembly Job Shop Environment Under Uncertainty |
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PI: |
B.L. Foote (OU) |
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Co-PIs: |
P.S. Pulat, A. Badiru, S.
Raman (OU) and M. Kamath (OSU) |
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Period of Support: |
September 15, 1993 - February
28, 1997 |
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Summary of Accomplishments and Activities
The goal of this integrated production management (IPM) research
was to develop a 'maximal' production management methodology
that takes advantage of the major sources of flexibility in shop
floor decision making, for example choice of process plan,
machine used to create feature, sequence at each machine,
inventory created, shortage accepted, subcontract awarded, or
lot size.
A major undertaking of the project at OSU was the significant
advancement of the fast simulation approach. Duse (1994)
developed new modeling abstractions, recursive relationships,
and conceptual frameworks for generating fast simulation models
of many common manufacturing topologies such as merge, split,
assembly, parallel server workstation and unreliable server. In
Duse’s study, a new hybrid approach that combines the recursion
based and event-scheduling based models in a single simulation
model was investigated. Duse developed guidelines for
partitioning a simulation model into fast simulation and
event-scheduling segments.
Sreenivasan (1996) developed a new modeling abstraction of
“pulling customers into the network as and when needed” an
showed that this new modeling abstraction could provide the much
needed basis for developing pure fast simulation models of
typical production system that was a combination of many common
manufacturing topologies such as merge, split, assembly,
parallel server workstation and finite buffers. Based on this
abstraction, Sreenivasan (1996) developed a fast simulation
methodological framework that enables us to create a library of
software modules or building blocks that can be used to build
fast simulation models of larger systems.
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Thesis and Dissertation
Duse, M.N. (1994) “Investigation of Fast and Hybrid
(Fast/Discrete-Event) Modeling Approaches for Simulation of
Manufacturing Systems”, Ph.D. Dissertation, School of Industrial
Engineering and Management, Oklahoma State University,
Stillwater, OK.
Sreenivasan, R. (1996) “Fast Simulation of General Manufacturing
Networks,” M.S. Thesis, School of Industrial Engineering &
Management, Oklahoma State University, Stillwater, OK.
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Publication
Foote, B.L., Pulat, S., Raman, S., Badiru, A.B. and Kamath, M.
(1993) “A Framework for Integrated Production Planning and
Scheduling in a Hybrid Assembly Job Shop Environment Under
Uncertainty," Proceedings of the Second IE Research Conference,
pp. 853-857.
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Center
for Computer integrated Manufacturing enterprises
School of Industrial
Engineering and Management
322 Engineering North, Oklahoma
State University, Stillwater OK -74078
© 2004 CCiMe
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