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INtegrated PROduction Management System (INPROMS)

A collaborative effort between Oklahoma State University (OSU) and The University of Oklahoma (OU).

 

Sponsor: The National Science Foundation
NSF Award Number:

DMI-9300568

Project Title: A Framework for Integrated Production Planning and Scheduling in a Hybrid Assembly Job Shop Environment Under Uncertainty
PI:

B.L. Foote (OU)

Co-PIs:     P.S. Pulat, A. Badiru, S. Raman (OU) and M. Kamath (OSU)
Period of Support: September 15, 1993 - February 28, 1997
 

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.
 

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.
 

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.
 

Center for Computer integrated Manufacturing enterprises

School of Industrial Engineering and Management
322 Engineering North, Oklahoma State University, Stillwater OK -74078
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