Preventive replacement policies with multiple missions and maintenance triggering approaches

2021 ◽  
pp. 107691
Author(s):  
Qin Zhang ◽  
Zhigeng Fang ◽  
Jiajia Cai
Keyword(s):  
Preventive Replacement ◽  
Multiple Missions

Flight Software On-Call: Maintenance Lesssons Learned Across Multiple Missions

2008 ◽  
Author(s):  
Kevin Balon ◽  
Christopher Krupiarz ◽  
M. Mirantes ◽  
W. Reid ◽  
Stephen Williams ◽  
...  
Keyword(s):  
Multiple Missions

WebTCAD: A Tool for Ad-hoc Visualization and Analysis of Telemetry Data for Multiple Missions

2018 ◽  
Author(s):  
Fernando Sanchez ◽  
Christopher Pankratz ◽  
Douglas M. Lindholm ◽  
Ransom Christofferson ◽  
Darren Osborne ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Telemetry Data ◽  
Multiple Missions

scholarly journals Development and Evaluation of the Traction Characteristics of a Crawler EOD Robot

2021 ◽  
Vol 11 (9) ◽  
pp. 3757
Author(s):  
Lucian Ștefăniță Grigore ◽  
Ionica Oncioiu ◽  
Iustin Priescu ◽  
Daniela Joița
Keyword(s):  
The Other ◽  
Kinematics And Dynamics ◽  
The Novel ◽  
Propulsion Systems ◽  
Load Bearing ◽  
Emergency Situations ◽  
Modular Model ◽  
Explosive Ordnance Disposal ◽  
Multiple Missions ◽  
A Company

Today, terrestrial robots are used in a multitude of fields and for performing multiple missions. This paper introduces the novel development of a family of crawling terrestrial robots capable of changing very quickly depending on the missions they have to perform. The principle of novelty is the use of a load-bearing platform consisting of two independent propulsion systems. The operational platform, which handles the actual mission, is attached (plug and play) between the two crawler propulsion systems. The source of inspiration is the fact that there are a multitude of intervention robots in emergency situations, each independent of the other. In addition to these costs, there are also problems with the specialization of a very large number of staff. The present study focused on the realization of a simplified, modular model of the kinematics and dynamics of the crawler robot, so that it can be easily integrated, by adding or removing the calculation modules, into the software used. The designed model was integrated on a company controller, which allowed us to compare the results obtained by simulation with those obtained experimentally. We appreciate that the analyzed Explosive Ordnance Disposal (EOD) robot solution represents a premise for the development of a family of EOD robots that use the same carrier platform and to which a multitude of operational platforms should be attached, depending on the missions to be performed.

A weak derivative approach to optimization of threshold parameters in a multicomponent maintenance system

2001 ◽  
Vol 38 (02) ◽  
pp. 386-406 ◽  
Author(s):  
Bernd Heidergott
Keyword(s):  
Optimization Problems ◽  
Estimation Algorithm ◽  
Replacement Policy ◽  
Cost Performance ◽  
Weak Derivative ◽  
Preventive Replacement ◽  
Maintenance System ◽  
Threshold Optimization ◽  
Age Replacement ◽  
The Cost

We consider a multicomponent maintenance system controlled by an age replacement policy: when one of the components fails, it is immediately replaced; all components older than a threshold age θ are preventively replaced. Costs are associated with each maintenance action, such as replacement after failure or preventive replacement. We derive a weak derivative estimator for the derivative of the cost performance with respect to θ. The technique is quite general and can be applied to many other threshold optimization problems in maintenance. The estimator is easy to implement and considerably increases the efficiency of a Robbins-Monro type of stochastic approximation algorithm. The paper is self-contained in the sense that it includes a proof of the correctness of the weak derivative estimation algorithm.

Organizational Responses to Managed Care: Issues for Academic Health Centers and Implications for Pediatric Programs, by Norlin and Osborn

PEDIATRICS ◽  
1998 ◽  
Vol 101 (Supplement_3) ◽  
pp. 805-812
Author(s):  
Chuck Norlin ◽  
Lucy M. Osborn ◽  
Frederick P. Rivara
Keyword(s):  
Growth And Development ◽  
Underserved Populations ◽  
Health Centers ◽  
Academic Health Centers ◽  
Health Care Market ◽  
Reimbursement Mechanisms ◽  
Organizational Responses ◽  
Academic Health ◽  
Complex Patients ◽  
Multiple Missions

The health care market dynamics that supported and directed the growth and development of Academic Health Centers (AHCs) have changed dramatically in the last 10 years. AHCs are struggling to adapt to new reimbursement mechanisms and to compete effectively for limited dollars, but are constrained by administrative and governance structures that are slow to evolve. Their multiple missions, including education, research, and care for complex patients and underserved populations, are at risk. Although most recognize the need for substantive reorganization, available resources and market specifics vary dramatically from one AHC to another. The current approaches to adaptation by four AHCs are described, along with some of the unique challenges confronted by academic pediatric programs.

Optimal repair/replacement policy for a general repair model

2001 ◽  
Vol 33 (1) ◽  
pp. 206-222 ◽  
Author(s):  
Xiaoyue Jiang ◽  
Viliam Makis ◽  
Andrew K. S. Jardine
Keyword(s):  
Average Cost ◽  
Failure Time ◽  
Operating Time ◽  
Replacement Policy ◽  
Repair Cost ◽  
Virtual Age ◽  
Preventive Replacement ◽  
Long Run ◽  
Special Cases ◽  
Cost Limit

In this paper, we study a maintenance model with general repair and two types of replacement: failure and preventive replacement. When the system fails a decision is made whether to replace or repair it. The repair degree that affects the virtual age of the system is assumed to be a random function of the repair-cost and the virtual age at failure time. The system can be preventively replaced at any time before failure. The objective is to find the repair/replacement policy minimizing the long-run expected average cost per unit time. It is shown that a generalized repair-cost-limit policy is optimal and the preventive replacement time depends on the virtual age of the system and on the length of the operating time since the last repair. Computational procedures for finding the optimal repair-cost limit and the optimal average cost are developed. This model includes many well-known models as special cases and the approach provides a unified treatment of a wide class of maintenance models.

Overcoming Size and Subject Bias in Rankings

2017 ◽  
pp. 266-276
Author(s):  
Simon Michael Pratt
Keyword(s):  
Multiple Missions ◽  
Ranking Position

Although it is impossible to distill the complexity of a university down to a single ranking position that represents the multiple missions of a university or the different stakeholders of ranking user, rankings are here to stay. It is essential that rankings publishers are clear about their objectives and use techniques to overcome bias. This paper discusses in detail some of the trends and bias found in data used in rankings and methods that can be used to overcome bias. It also discusses the motivations behind rankings and the influence of institution size on ranking outcome.

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