Variability and the fundamental properties of production lines

Kan Wu; Yaoming Zhou; Ning Zhao

doi:10.1016/j.cie.2016.04.014

Variability and the fundamental properties of production lines

Kan Wu^*
, Yaoming Zhou
, Ning Zhao

^*Corresponding author for this work

School of Aeronautic Science and Engineering

Nanyang Technological University
Kunming University of Science and Technology

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

The concept of variability has been commonly used in practice and it is an important performance index of manufacturing systems. In this study, the definition of system variability is given through the insight of Kingman's approximation. The explicit expression for the variability of a production line is derived based on intrinsic ratios and contribution factors. With the derived results, properties of variability for a production line in terms of job arrival rate, service rate and bounds on variability are examined. Simulation results are given to validate the derived properties. The result can be used to guide the design and operations of manufacturing systems.

Original language	English
Pages (from-to)	364-371
Number of pages	8
Journal	Computers and Industrial Engineering
Volume	99
DOIs	https://doi.org/10.1016/j.cie.2016.04.014
State	Published - 1 Sep 2016

Keywords

Production lines
Queueing theory
Tandem queues
Variability

Access to Document

10.1016/j.cie.2016.04.014

Cite this

@article{2198aa14c7f64a5cb6dc5a1277682667,

title = "Variability and the fundamental properties of production lines",

abstract = "The concept of variability has been commonly used in practice and it is an important performance index of manufacturing systems. In this study, the definition of system variability is given through the insight of Kingman's approximation. The explicit expression for the variability of a production line is derived based on intrinsic ratios and contribution factors. With the derived results, properties of variability for a production line in terms of job arrival rate, service rate and bounds on variability are examined. Simulation results are given to validate the derived properties. The result can be used to guide the design and operations of manufacturing systems.",

keywords = "Production lines, Queueing theory, Tandem queues, Variability",

author = "Kan Wu and Yaoming Zhou and Ning Zhao",

note = "Publisher Copyright: {\textcopyright} 2016 Elsevier Ltd",

year = "2016",

month = sep,

day = "1",

doi = "10.1016/j.cie.2016.04.014",

language = "英语",

volume = "99",

pages = "364--371",

journal = "Computers and Industrial Engineering",

issn = "0360-8352",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Variability and the fundamental properties of production lines

AU - Wu, Kan

AU - Zhou, Yaoming

AU - Zhao, Ning

PY - 2016/9/1

Y1 - 2016/9/1

N2 - The concept of variability has been commonly used in practice and it is an important performance index of manufacturing systems. In this study, the definition of system variability is given through the insight of Kingman's approximation. The explicit expression for the variability of a production line is derived based on intrinsic ratios and contribution factors. With the derived results, properties of variability for a production line in terms of job arrival rate, service rate and bounds on variability are examined. Simulation results are given to validate the derived properties. The result can be used to guide the design and operations of manufacturing systems.

AB - The concept of variability has been commonly used in practice and it is an important performance index of manufacturing systems. In this study, the definition of system variability is given through the insight of Kingman's approximation. The explicit expression for the variability of a production line is derived based on intrinsic ratios and contribution factors. With the derived results, properties of variability for a production line in terms of job arrival rate, service rate and bounds on variability are examined. Simulation results are given to validate the derived properties. The result can be used to guide the design and operations of manufacturing systems.

KW - Production lines

KW - Queueing theory

KW - Tandem queues

KW - Variability

UR - https://www.scopus.com/pages/publications/84964670207

U2 - 10.1016/j.cie.2016.04.014

DO - 10.1016/j.cie.2016.04.014

M3 - 文章

AN - SCOPUS:84964670207

SN - 0360-8352

VL - 99

SP - 364

EP - 371

JO - Computers and Industrial Engineering

JF - Computers and Industrial Engineering

ER -

Variability and the fundamental properties of production lines

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this