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Selection of Probability Distributions for Discrete-Event Simulation Models

Award Information
Agency: Department of Commerce
Branch: N/A
Contract: 50-DKNB-1-SBO57
Agency Tracking Number: 7.06.02
Amount: $73,600.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2001
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
2601 N. Campbell Avenue Suite 110
Tucson, AZ 85719
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Averill Law
 President
 (520) 795-6265
Business Contact
 Averill Law
Title: Principal Investigator
Phone: (520) 795-6265
Research Institution
N/A
Abstract

Discrete-event simulation is used by thousands of companies to design new manufacturing systems and to improve the performance of existing ones. Manufacturing systems contain numerous sources of randomness such as machine times to failure and machine repair times, which greatly impact on system performance. If each source of system randomness is not modeled by an appropriate probability distribution, then it is highly likely that the simulation model will produce erroneous performance results, resulting in costly decisions.

* Information listed above is at the time of submission. *

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