ARTICLES
 

Magazine Articles

Inventory Modeling Yields Significant Cycle-Time Improvements Simulating a wafer fabrication line to assist in the meeting of delivery schedules, reducing product cycle times, increasing product yield and throughput, optimizing equipment utilization, and increasing confidence for on-time delivery and profits. Solid State Technology, Jan 1999 (3 pages)

Simulation Can Be FABulous, Simulating a wafer fabrication line to assist in the meeting of delivery schedules, reducing product cycle times, increasing product yield and throughput, optimizing equipment utilization, and increasing confidence for on-time delivery and profits. IIE Solutions, December 1999 (1 page)

From Motorola's historic lab to today: Arizona ranks 3rd in chipmaking* General Article on Arizona's High Tech Marketplace with quote by D'Arcy Collins, Solid State Technology, Oct 2001 (5 pages)

 

Technical Journals & Presentations

Leaning the Supply Chain PART II - Guide To Using Lean Simulation Modeling Across Organizational and Company Boundaries (PPT) -- This step by step guide will help companies' use simulation modeling to lean out their supply chains. Lean methodology is used across organizational and company boundaries to expose inefficiencies by comparing conflicting objectives. What strategic and tactical planning questions (e.g.: entering a new market) can and should be analyzed using what-if scenarios with an enterprise production supply/demand chain simulation model. A dynamic supply chain model will be demonstrated to show how this tool can be used to answer the following questions. Where should we locate production and distribution facilities? Where should we deploy inventory? What kinds and levels of capacity should we have? How can we reduce transportation and logistics costs? - APICS Phoenix Chapter, November 2003

Scheduling a Dynamic Production Mix Using an Excel Based Simulator(PPT)- - Beyond the Shop Lean - Efficient Scheduling of a Dynamic Production Mix Using an Excel Based Simulation Model - Method to visually schedule jobs that pass through multiple work centers using an Excel based simulation model. This methodology can be used for scheduling any job shop with a dynamic production mix with multiple step process flows that visit common work centers. CNC machine shops, aerospace manufacturers, electronics assemblers and semiconductor manufacturers can use this modeling method for lean scheduling - SME WESTEC March 2003 Conference

Understanding a Semiconductor Process Using a Full-Scale Model (268KB) Abstract-A full-scale semiconductor manufacturing plant model was developed from a SEMATECH dataset using the computer software package EXTEND. The model was generated to study the complex interactions and characteristics of a semiconductor fabrication process. Equipment downtimes, process flow routes, and machine processing times were used to validate the model. Pilot runs of the model were used to determine simulation run times and data collection rates for the initial inventory and product cycle time measurements. The product cycle time results from the model at 95% capacity were within 63 hours (or 7%) of the SEMATECH cycle time measurements. These results demonstrate the accuracy of the simulation model built from the SEMATECH dataset. The full-scale model was set up to run special scenarios showing the effects of eliminating maintenance and changing product types. The full-scale model was compared to a small-scale model based on the same dataset to demonstrate the inadequacy of the validated small-scale model. A full-scale model is also useful for analyzing scheduling routines, detecting bottlenecks, and understanding machine relations in the semiconductor industry. IEEE Transactions On Semiconductor Manufacturing, Vol. 15, No. 2, May 2002, p 285-288 (3 page)

Simulation Model Analysis of Automated Material Handling System with Area Elevators for an 8 inch Wafer FAB This paper describes the logic and assumptions used in building a simulation model of an Automated Material Handling System (AMHS) for an eight inch Wafer FAB. The model includes the ability to make changes to the area stocker layout, number of area stockers, number of loops, number of cars, and or the number of Lot moves. This simulation model is used to determine if the Area Stockers can handle the quantities of Lots per hour required by a From-To-Table "customer" requirements. MASM, April 2002 (3 page)

Dynamic Simulator for WIP Analysis in Semiconductor Manufacturing, Describes the implementation of a FAB Simulator and Capacity Planner in a semiconductor FAB in Arizona that assist the operational planner with the planning of the daily production mix. This paper was presented to top semiconductor firms from all over the world at the International Symposium Semiconductor Manufacturing conference on October 9th, 2001(4 pages)

A Simulation Model Representation and Implementation of Minimum Inventory Variability Scheduling and Product Release Generator Policies® In a Large Semiconductor Facility, Solid State Technology, Feb. 1999 (3 pages)          

Implementation of Minimum Inventory Variability Scheduling 1-Step Ahead Policy® In a Large Semiconductor Manufacturing Facility, Proceedings of IEEE 6th International Conference on Emerging Technologies and Factory Automation, September 9-12, 1997, Los Angeles, Calif (11 pages)

An Analysis of the "K-Step Ahead" Minimum Inventory Variability Policy® Using SEMATECH Semiconductor Manufacturing Data in a Discrete-Event Simulation Model, Proceedings of IEEE 6th International Conference on Emerging Technologies and Factory Automation, September 9-12, 1997, Los Angeles, Calif (9 pages)

A Mini-FAB Simulation Model Comparing FIFO and MIVP® Schedule Policies (Outer Loop), and PID and H¥ Machine Controllers (Inter Loop) for Semiconductor Diffusion Bay Maintenance, IECON'98 Aachen, Germany  (8 pages)

Investigation of Minimum Inventory Variability Scheduling Policies in a Large Semiconductor Manufacturing Facility, Proceedings of the American Control Conference, Albuquerque, New Mexico June 97 (5 pages)

A Simulation Study to Compare Minimum Inventory Variability Policies (MIVP®) And First-In-First-Out (FIFO) Algorithm, IFAC’99 14th World Congress, International Federation of Automatic Control pp.461-466 Triennial World Congress – July 5-9, 1999, Beijing, P.R. China (6 pages)

Minimum Inventory Variability Dispatching Policies MIVP®, to be presented ASEE’2000 Conference St. Louis, Missouri, June 18-21, 2000

Interdisciplinary Research on Modeling and Scheduling of Semiconductor Manufacturing Operations to be presented ASEE’2000 Conference St. Louis, Missouri, June 18-21, 2000

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Client's Result's using MIVP®

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