PERFORMANCE ANALYSIS OF MANUFACTURING SYSTEMS

Name: PERFORMANCE ANALYSIS OF MANUFACTURING SYSTEMS
Availability: OutOfStock
Rating: 4.3 (133 reviews)

ISYE/ME 643

과목 설명

Examines the state of the art in the use of stochastic network theory to develop performance models of modern manufacturing systems.

선수과목

(ISYE 624 or ISYE/MATH/OTM/STAT 632 ) and (COMPSCI 200 , COMPSCI 220 , COMPSCI 300 , 301, 302, COMPSCI 400 , or placement into COMPSCI 300 ), graduate/professional standing, or member of Engineering Guest Students

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

3.63

6.43% 과거 데이터 대비

수료율

100%

0.76% 과거 데이터 대비

A 비율

50%

10.83% 과거 데이터 대비

학급 규모

-27.82% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

SIMULATION AND PROBABILISTIC MODELING

ISYE 320

Analysis of stochastic systems using both analytic methods and computer simulation. Empirical and theoretical models of arrival and service processes. State spaces and state transition probabilities. Simulation of queuing and manufacturing systems. Continuous time Markov analysis of manufacturing systems. Simulation project management, testing and emerging trends.

PRODUCTION SYSTEMS CONTROL

ISYE 615

An intermediate to advanced course stressing the application of recent operations research techniques to production planning, scheduling and inventory control.

SIMULATION MODELING AND ANALYSIS

ISYE 620

Introduction to simulation modeling and analysis techniques with application to production, logistics, service, and other systems. Emphasis on model building, application of basic statistical data analysis, and the use of simulation for design, evaluation, and improvement of such systems. Introduction to available software. Case studies.

DESIGN AND ANALYSIS OF MANUFACTURING SYSTEMS

ISYE/ME 641

Covers a broad range of techniques and tools relevant to the design, analysis, development, implementation, operation and control of modern manufacturing systems. Case studies assignments using industry data will be used to elaborate the practical applications of the theoretical concepts.

STOCHASTIC MODELING TECHNIQUES

ISYE 624

Techniques for modeling systems in which uncertainty is an essential factor. Emphasizes why, how and when techniques can or cannot be applied, rather than their mathematical derivation. Case studies and/or examples from such areas as logistics, production, and service industries.