Preface: reliability and quality management in stochastic systems

Yi-Kuei Lin (), Ming J. Zuo () and Hoang Pham ()
Additional contact information
Yi-Kuei Lin: National Chiao Tung University
Ming J. Zuo: University of Alberta
Hoang Pham: Rutgers University

Annals of Operations Research, 2019, vol. 277, issue 1, No 1, 2 pages

Abstract: Abstract This special issue of the Annals of Operations Research is related to the Asia–Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM 2016), held during 24–26 August 2016, at the Hanyang University, Seoul, South Korea. It focuses on new international research in theoretical and related applications to solve quality management problems. Reliability and quality management are quite important in many practical stochastic systems, such as computer systems, logistic systems, production systems, and the like. Developing and applying operations research methods to measure the robustness and to solve the engineering problem of a stochastic system is indeed a crucial task, enabling the system manager to carry out improvements after measuring the stochastic system.

Keywords: Reliability; Quality management; Stochastic systems (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-019-03197-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:277:y:2019:i:1:d:10.1007_s10479-019-03197-z

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-019-03197-z

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().