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Simulation Modeling and Analysis

TLDR
The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering, business, computer science and operations research.
Abstract
From the Publisher: This second edition of Simulation Modeling and Analysis includes a chapter on "Simulation in Manufacturing Systems" and examples. The text is designed for a one-term or two-quarter course in simulation offered in departments of industrial engineering,business,computer science and operations research.

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Proceedings Article

Optimizing Production Manufacturing Using Reinforcement Learning

TL;DR: An artificial intelligence approach to optimization based on a simulation-based dynamic programming method called reinforcement learning called SMART is presented, and its performance on optimizing manufacturing systems with that of standard heuristics used in industry is compared.
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Models, validation, and applied geochemistry: Issues in science, communication, and philosophy

TL;DR: Arguments against using the phrase model validation are summarized and efforts to validate models for high-level radioactive waste management and for permitting and monitoring open-pit mines are examined.
Journal ArticleDOI

AT&T's Call Processing Simulator (CAPS) Operational Design for Inbound Call Centers

TL;DR: The call processing simulator (CAPS) as discussed by the authors is a PC-based system employing a discrete event simulation model with animation and queuing models of both the telecommunications network and AT&T's business customer's call center environment.
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Designing an adaptive production control system using reinforcement learning

TL;DR: This paper addresses the design of RL to create an adaptive production control system by the real-world example of order dispatching in a complex job shop, and examines the performance of the state, action, and reward function RL design.
Journal ArticleDOI

Revenue management for a make-to-order company with limited inventory capacity

TL;DR: In numerical tests, the potential benefit of using revenue management instead of a FCFS policy is shown and the performance of the heuristic procedure proposed is assessed.