10.1016/j.cie.2018.04.022

10.1016/j.cie.2018.04.022 Computers & Industrial Engineering 120 (2018) 471–479 Contents lists available at ScienceDirect Computers & Industrial Engineering journal homepage: www.elsevier.com/locate/caie a b a, Esra Sisikoglu Sir , Mahmood Pariazar , Mustafa Y. Sir Mayo Clinic, Rochester, MN, United States American Airlines, Fort Worth, TX, United States ARTIC L E I NF O ABSTRAC T Keywords: We consider the inspection scheduling problem of multi-unit systems where the inspections of individual units Scheduling are coupled via a capacity constraint. Although the optimal inspection policy of the majority of single-unit Inspection and maintenance systems can be characterized by a threshold policy, finding an optimal policy for multi-unit systems is sig- Approximate dynamic programming nificantly harder. Therefore, the current state-of-the-practice uses a periodical inspection policy for all units. Multi-unit systems Instead, we propose using a dynamic programming (DP) approach to solve small-scale problem instances to optimality and use solutions optimized for a single-unit system in an approximation scheme to obtain near- optimal solutions for large-scale problems. Our results show that taking individual properties of the units to be inspected into account and incorporating the single-unit solutions within an approximate DP framework sig- nificantly decrease the inspection cost compared to a periodical inspection policy. The http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

10.1016/j.cie.2018.04.022

Elsevier — Jun 11, 2020

Loading next page...
 
/lp/elsevier/capacitated-inspection-scheduling-of-multi-unit-systems-abuzT6E7cY
Datasource
Elsevier

Abstract

Computers & Industrial Engineering 120 (2018) 471–479 Contents lists available at ScienceDirect Computers & Industrial Engineering journal homepage: www.elsevier.com/locate/caie a b a, Esra Sisikoglu Sir , Mahmood Pariazar , Mustafa Y. Sir Mayo Clinic, Rochester, MN, United States American Airlines, Fort Worth, TX, United States ARTIC L E I NF O ABSTRAC T Keywords: We consider the inspection scheduling problem of multi-unit systems where the inspections of individual units Scheduling are coupled via a capacity constraint. Although the optimal inspection policy of the majority of single-unit Inspection and maintenance systems can be characterized by a threshold policy, finding an optimal policy for multi-unit systems is sig- Approximate dynamic programming nificantly harder. Therefore, the current state-of-the-practice uses a periodical inspection policy for all units. Multi-unit systems Instead, we propose using a dynamic programming (DP) approach to solve small-scale problem instances to optimality and use solutions optimized for a single-unit system in an approximation scheme to obtain near- optimal solutions for large-scale problems. Our results show that taking individual properties of the units to be inspected into account and incorporating the single-unit solutions within an approximate DP framework sig- nificantly decrease the inspection cost compared to a periodical inspection policy. The

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off