Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A discrete-event simulation algorithm for the optimization of multi-scenario maintenance policies
Date
2020-07-01
Author
Gölbaşı, Onur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
184
views
0
downloads
Cite This
Maintenance policies that may incorporate alternative work packages with a different intention of implementation have an explicit effect on the availabilities and the operating costs of the production systems. These work packages can be classified under corrective and preventive actions, which offer run-to-failure and failure defeating approaches, respectively. Sub-classes of these actions show a variation by implementation interval, technology and materials used, and the point of application. Corrective maintenance, preventive maintenance by inspections, and opportunistic maintenance are the most frequently observed application types in the production industries. Their financial and functional effectiveness in a maintenance policy may vary depending on the operational substantiality and complexity of the system on target. Therefore, the system operability needs to be ensured with a proper maintenance policy where the redundant contents in the policy should be removed to mitigate the production loss. On this basis, the current study introduces a discrete-event simulation algorithm that is capable of simultaneous evaluation and comparison of multiple maintenance scenarios for a production system. The optimization criterion in the algorithm is interchangeable that can be achieved in two ways as maximization of system availability and minimization of total maintenance cost, based on the available maintenance and cost datasets. For a clear illustration of the algorithm, two case studies with different optimization criteria were provided for multi- and single-system earthmoving operations. The systems were selected from the mining industry, where the high uncertainties in production and machine performance are observed. As well as production and cost outputs, the sensitivity of the failure profiles of subsystems and components to the introduced maintenance scenarios were also discussed in the case studies to reveal the vulnerability zones in the systems.
Subject Keywords
General Engineering
,
General Computer Science
URI
https://hdl.handle.net/11511/48324
Journal
Computers and Industrial Engineering
DOI
https://doi.org/10.1016/j.cie.2020.106514
Collections
Department of Mining Engineering, Article
Suggestions
OpenMETU
Core
Operation assignment and capacity allocation problem in automated manufacturing systems
Bilgin, Selin; Azizoğlu, Meral (Elsevier BV, 2009-03-01)
We address an operation assignment and capacity allocation problem that arises in semiconductor industries and flexible manufacturing systems. We assume the automated machines have scarce time and tool magazine capacities and the tools are available in limited quantities. The aim is to select a subset of operations with maximum total weight. We show that the problem is NP-hard in the strong sense, develop two heuristics and a Tabu Search procedure. The results of our computational tests have revealed that o...
Beam search algorithm for capacity allocation problem in flexible manufacturing systems
Ozpeynirci, Selin Bilgin; Azizoğlu, Meral (Elsevier BV, 2009-05-01)
This study considers the operation assignment and tool allocation problem in flexible manufacturing systems. A set of operations together with their required tools are selected so as to maximize the total weight. The machines have limited time and tool magazine capacities and the tools are available in limited quantities. We develop a beam search algorithm and obtain near optimal solutions for large size problems very quickly.
Cyclic ordering policies from capacitated suppliers under limited cycle time
EKİCİ, ALİ; Ozener, Okan Orsan; Duran, Serhan (Elsevier BV, 2019-02-01)
In this paper, we study the ordering policy of a manufacturer/retailer which procures a single item from multiple capacitated suppliers and satisfies an exogenous deterministic and constant demand. Manufacturer's objective is to minimize total periodic ordering cost which has three components: (i) fixed ordering cost, (ii) variable purchasing cost, and (iii) inventory holding cost. We are interested in developing a cyclic ordering policy for the manufacturer where the orders are repeated with a certain freq...
Optimal scope of work for international integrated systems
Ertem, Mustafa Alp; Serpil, Canan; Department of Industrial Engineering (2005)
This study develops a systems integration project scheduling model which identifies the assignment of activity responsibilities that minimizes expected project implementation cost, considering the project risk. Assignment of resources to the individual jobs comprising the project is a persistent problem in project management. Mostly, skilled labor is an essential resource and both the time and the cost incurred to perform a job depend on the resource to which job is assigned. A systems integration project i...
AN INTERACTIVE APPROACH FOR A DUAL CONSTRAINT JOB SHOP SCHEDULING PROBLEM
KONDAKCI, S; GUPTA, RM (Elsevier BV, 1991-01-01)
Until recently, heuristic dispatching rules were the only practical means to solve the job shop scheduling problem. Currently, a promising direction in job shop scheduling is interactive scheduling. In this study an interactive scheduling approach is developed for a dual-constraint dynamic job shop production environment. The approach is used by a number of subjects in an experiment. The performance of the subjects is compared with that of dispatching rules based on tardiness and other measures relevant...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. Gölbaşı, “A discrete-event simulation algorithm for the optimization of multi-scenario maintenance policies,”
Computers and Industrial Engineering
, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48324.