12th Annual International Conference on Industrial Engineering and Operations Management

An Efficient Simulation Algorithm to Compute Collision Probability in a Parallel Machines Model with Buffers

Taiki Otsuka & Eishi Chiba
Publisher: IEOM Society International
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Track: Modeling and Simulation
Abstract

The motivation for this work is in its application to manufacturing systems, and we use a manufacturing model focusing on the following three points: efficiently mass-producing the same product; evaluating the number of products per unit time using tact time; and avoiding collision between materials as much as possible. A parallel machines model was presented in a previous paper as such a manufacturing model, and an efficient algorithm to compute collision probability in this model was also proposed. In this work, we focus on the same parallel machines model but with buffer space added. Buffers are spaces for materials awaiting processing and are used in order to avoid a collision within a manufacturing system. We develop an efficient algorithm to compute collision probability in a parallel machines model with buffers. Moreover, in order to show that our algorithm runs fast in reality, we implement the algorithm on a PC and show its performance through computational experimentation.

Keywords

Collision probability, Computation, Manufacturing model, Parallel machines model.

Published in: 12th Annual International Conference on Industrial Engineering and Operations Management, Istanbul, Turkey

Publisher: IEOM Society International
Date of Conference: March 7-10, 2022

ISBN: 978-1-7923-6131-9
ISSN/E-ISSN: 2169-8767