Outsourcing prioritized warranty repairs

Buczkowski, Peter S.; Hartmann, Mark; Kulkarni, Vidyadhar G.

doi:10.1108/02656710510610848

Cited by 14 publications

(7 citation statements)

References 12 publications

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“…Extend the results to problems with n types of items. The algorithm for finding the optimal stateindependent policy can be easily extended to n types of items (See Buczkowski et al [5]). Unfortunately, generalizing the method used in this article to derive the indices requires future work, and may not be straightforward.…”

Section: Discussionmentioning

confidence: 99%

“…One can use the special structure of this optimization problem to formulate it as a multi-commodity network flow problem along the same lines as in Buczkowski et al [5], and solve it using the methods given in Ahuja et al [1]. We omit the details.…”

Section: Optimal State-independent Policy (Osi)mentioning

confidence: 98%

“…Ding and Glazebrook [7] consider further generalizations of this model. Buczkowski et al [5] study the assign-at-purchase model for multipriority, fixed-population problems. They formulate the problem as a minimum cost network flow problem and provide an efficient algorithm to solve it.…”

Section: Assignment Policymentioning

confidence: 99%

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Dynamic routing of prioritized warranty repairs

Feng

Kulkarni

2007

Naval Research Logistics

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Recent years have seen a strong trend toward outsourcing warranty repair services to outside vendors. In this article we consider the problem of dynamically routing warranty repairs to service vendors when warranties have priority levels. Each time an item under warranty fails, it is sent to one of the vendors for repair. Items covered by higher priority warranty receive higher priority in repair service. The manufacturer pays a fixed fee per repair and incurs a linear holding cost while an item is undergoing or waiting for repair. The objective is to minimize the manufacturer's long-run average cost. Because of the complexity of the problem, it is very unlikely that there exist tractable ways to find the optimal routing strategies. Therefore, we propose five heuristic routing procedures that are applicable to real-life problems. We evaluate the heuristics using simulation. The simulation results show that the index-based "generalized join the shortest queue" policy, which applies a single policy improvement step to an initial state-independent policy, performs the best among all five heuristics.

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Section: Discussionmentioning

confidence: 99%

Section: Optimal State-independent Policy (Osi)mentioning

confidence: 98%

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Dynamic routing of prioritized warranty repairs

Feng

Kulkarni

2007

Naval Research Logistics

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“…Researches on technical asset-related activities have been treated extensively in the literature such as researches on maintenance and its strategy (Tsang, 1998;Mather, 2005;Pinjala et al, 2006); performance measurement and optimization (Dekker and Scarf, 1998;Garg and Deshmukh, 2006); replacement and remaining asset life determination (Jardine and Tsang, 2013;Zuashkiani and Jardine, 2013;Wijnia et al, 2007;Scarf et al, 2007;Oien, 1998), maintenance outsourcing (Cruz and Rinco, 2012;Wang, 2010;Martin, 1997;Buczkowski et al, 2005); maintenance process planning, task and task interval selection (Ghosh and Roy, 2010;Mckone and Weiss, 2002;Khan and Haddara 2003); planning, scheduling and information management (Satyanarayana and Prasad, 1996;Nagarur and Kaewplang, 1999;Tsang et al, 2006).…”

Section: Engineering Asset Managementmentioning

confidence: 99%

Maintaining pipeline integrity through holistic asset management

El-Akruti

Zhang

Dwight

2016

EJIE

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A review of the concept of engineering asset management (EAM) and its role in integrity management within the context of energy pipelines has been conducted. The EAM system is shown to be concerned with pipeline integrity assurance at any point of the asset life. The effectiveness of a holistic EAM approach to assuring pipeline integrity is explored through case studies for pipelines that transport high pressure natural gas or liquid petroleum. The research examines the EAM system activities, data available and information flow and decision mechanisms utilised in industry and their effectiveness in incorporating the management or control of coating degradation and external corrosion into pipeline integrity management. The objective is to provide a holistic approach to defining the status of the EAM system that is in current use in energy pipeline organisations and to examine the role of EAM in integrity management of these pipelines This journal article is available at Research Online: http://ro.uow.edu.au/eispapers/6058 European J. Industrial Engineering, Vol. 10, No.5, 2016, pp.618-638. AbstractA review of the concept of engineering asset management (EAM) and its role in integrity management within the context of energy pipelines has been conducted. The EAM system is shown to be concerned with pipeline integrity assurance at any point of the asset life. The effectiveness of a holistic EAM approach to assuring pipeline integrity is explored through case studies for pipelines that transport high pressure natural gas or liquid petroleum. The research examines the EAM system activities, data available and information flow and decision mechanisms utilised in industry and their effectiveness in incorporating the management or control of coating degradation and external corrosion into pipeline integrity management. The objective is to provide a holistic approach to defining the status of the EAM system that is in current use in energy pipeline organisations and to examine the role of EAM in integrity management of these pipelines.

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“…See, for example, the related comments in the Aberdeen Group's 2005 study "Best Practice in Strategic Service Management" (cited by Violino 2006). Further, in their study of a model for the outsourcing of warranty repairs, Buckowski et al (2005) cite a desire to increase the geographic reach of (high-quality) service as a rationale for contracting several repair vendors. This was also cited by McDougall (2005, p. 1) as a factor in ABN Amro's move to multiple vendors.…”

Section: Introductionmentioning

confidence: 99%

Allocation Models and Heuristics for the Outsourcing of Repairs for a Dynamic Warranty Population

2008

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Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. W e consider a scenario in which a large equipment manufacturer wishes to outsource the work involved in repairing purchased goods while under warranty. Several external service vendors are available for this work. We develop models and analyses to support decisions concerning how responsibility for the warranty population should be divided between them. These also allow the manufacturer to resolve related questions concerning, for example, whether the service capacities of the contracted vendors are sufficient to deliver an effective post-sales service. Static allocation models yield information concerning the proportions of the warranty population for which the vendors should be responsible overall. Dynamic allocation models enable consideration of how such overall workloads might be delivered to the vendors over time in a way which avoids excessive variability in the repair burden. We apply dynamic programming policy improvement to develop an effective dynamic allocation heuristic. This is evaluated numerically and is also used as a yardstick to assess two simple allocation heuristics suggested by static models. A dynamic greedy allocation heuristic is found to perform well. Dividing the workload equally among vendors with different service capacities can lead to serious losses.

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Outsourcing prioritized warranty repairs

Cited by 14 publications

References 12 publications

Dynamic routing of prioritized warranty repairs

Dynamic routing of prioritized warranty repairs

Maintaining pipeline integrity through holistic asset management

Allocation Models and Heuristics for the Outsourcing of Repairs for a Dynamic Warranty Population

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