Optimization Lab

논문 초록 (Abstract)

The manufacturing sector as a whole has undergone remarkable changes in terms of scale, complexity and technology over the past decades and thi s applies across most modern high-technology manufacturing such as elect ronics, semiconductor, aerospace and automotive industries. In order to remain competitive, manufacturers have to produce high-quality products at low cost, and at the same time retain sufficient flexibility and to meet rapidly changing customer demands. Production planning and control (PPC) is a key role which enables the manufacturer to gain visibility a nd control over all aspects of manufacturing activities. PPC in itselff orms a subject of study, within which simulation techniques have proven themselves to be one of the most practical methodologies available to i nvestigate and evaluate manufacturing issues. In this review paper, we f ocus on state-of-the art applications of simulation techniques in PPC to demonstrate their applicability to modern manufacturing issues. The rev iew reports on academicpublications on simulation applications in manuf acturing from 2002 to 2014, incorporating surveys of peer-reviewed liter ature. The review covers three types of simulation techniques (system dy namic, discrete event simulation and agent-based simulation) and eight P PC issues (facility resource planning, capacity planning, job planning, process planning, scheduling, inventory management, production and proc ess design, purchase and supply management). Literature survey is analys ed on the basis of simulation application to PPC problems which can give a guideline for simulation technique selection and also can help for si mulation modellingin PPC problems.