Convergence of Probability Measures. By P. Billingsley. Chichester, Sussex, Wiley, 1968. xii, 253 p. 9 1/4“. 117s.

Convergence of Probability Measures

Objects. The ~ b s t rac t ~ b j ect forms the fundamental base class for the entire design and all other classes are derived from this base class. The Abstract Object class defines and characterizes all the essential properties every class in this 404 OBJECT-ORIENTED SIMULATION

Handbook of Simulation

(1992). Time Series—A Biostatistical Introduction. Technometrics: Vol. 34, No. 2, pp. 229-230.

Time Series—A Biostatistical Introduction

Methods of Feasible Directions. By G. Zoutendijk. Pp. 126. 30s. 1960. (D. van Nostrand Co. London)

Coordination mechanisms of supply chain systems

The ability to plan and forecast freight demand to support transportation infrastructure investment decisions is limited by the lack of available data at a level of detail that is meaningful to the transportation planner. This paper develops an initial methodology for developing Freight Analysis Zones (FAZs) at a sub-state level to facilitate use of the data from the Freight Analysis Framework 2 (FAF2) database and industry surveys. The FAF2 database is based upon the Commodity Flow Survey and is a comprehensive public freight knowledgebase. However, with 114 zones nationwide (most states have one or two zones), the ability of a state or Metropolitan Planning Organization transportation planner to use the data without significant disaggregation is limited. Currently, there is no consensus regarding the means to disaggregate the original FAF2 data. This paper addresses this problem by developing a systematic method for partitioning a state into meaningful zones that support effective freight transportation planning and analysis. The paper tests the application of FAZs to disaggregate freight data for use in a statewide by model through a case study in Alabama. The paper concludes that FAZs can be effectively used without degrading the quality of the forecasts.

Developing Freight Analysis Zones at State Level: Cluster Analysis Approach

This paper presents an overview of a simulation environment used for rapid modeling of electronics manufacturing lines. This environment, the Electronics Manufacturing Simulator (EMS), consists of a line definer and a static analyzer. Included in this paper are a description of the EMS, an application of the EMS, and a discussion of results of the application.

/pdf/simulation-of-memory-chip-line-using-an-electronics-4zk4e092a9.pdf

Simulation of memory chip line using an electronics manufacturing simulator

The statistical analysis of simulation experiments is frequently honored more in the breach than in practice, yet the benefits of planning and proper design can often increase the precision of estimates and strengthen confidence in conclusions drawn. While simulation experiments are broadly similar to any statistical experiment, there are a number of differences. Manufacturing models are used to illustrate the methodology described.

/pdf/design-of-simulation-experiments-with-manufacturing-3p57g246q2.pdf

Design of simulation experiments with manufacturing applications

A weighted least squares regression method is proposed for fitting cumulative probability distributions to data. This technique is illustrated for the Johnson translation system of distributions. The least squares procedure minimizes the distance between the vector of uniformized order statistics and its corresponding expected value to identify the Johnson distribution that provides the best fit. This least squares procedure is shown to be numerically robust and to provide a good fit of the data when compared to the empirical distribution. Two examples illustrate the use of the procedure.

Fitting Johnson distributions using least squares: simulation applications

This paper introduces software tools for the rapid modeling and analysis of high volume electronics production lines. The tools discussed include a Windows-based line definition program and static capacity evaluator with proposed links to a variety of simulation packages. In addition, the authors will review a set of submodels/templates developed in WITNESS and ARENA which give the user the capability to rapidly model a line while still providing access to a more general simulation environment for model customization and enhancement.

http://ieeexplore.ieee.org/iel1/3476/11095/00507144.pdf

James J. Swain

Papers

Developing Freight Analysis Zones at State Level: Cluster Analysis Approach

Simulation of memory chip line using an electronics manufacturing simulator

Design of simulation experiments with manufacturing applications

Fitting Johnson distributions using least squares: simulation applications

Developing reusable modeling capabilities for simulating high volume electronics manufacturing systems