A simulation based supply partner selection decision support tool for service provision in Dell

Byrne, Peter; Heavey, Cathal; Blake, Paul A.; Liston, Paul

doi:10.1016/j.cie.2013.01.013

Cited by 13 publications

(6 citation statements)

References 90 publications

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“…The paper extends the work of (Byrne et al 2013) through the presentation of a performance based contracting framework for use in the final stage of a supplier selection process for manufacturing based service contracting. At the centre of this framework is a DES based continuous improvement approach, which is encapsulated in a collaborative negotiation process between manufacturer and an individual service provider.…”

Section: Introductionmentioning

confidence: 85%

“…The criticality of supplier selection to overall supply chain performance is well documented in the literature (González, Quesada, and Monge 2004;Dursun and Karsak 2013;Chai, Liu, and Ngai 2013;Byrne et al 2013). However, choosing the right supplier involves much more than scanning a series of price lists (Ho, Xu, and Dey 2010).…”

Section: Supplier Selectionmentioning

confidence: 99%

“…Furthermore, the majority of published articles on supplier selection methods have tended to focus on product based systems (e.g. Degraeve, Labro, & Roodhooft, 2004;Dursun & Karsak, 2013;Kuo & Lin, 2012 (Verma and Pullman 1998), computer expert system (Vokurka, Choobineh, and Vadi 1996), and DES (Byrne et al 2013;Chalal, Boucher, and Marques 2015).…”

Section: Supplier Selectionmentioning

confidence: 99%

“…As this dependency grows there has been a move away from shorter term adversarial contracts towards longer term relationships with suppliers for strategic and crucial items (Byrne et al 2013;Ho, Xu, and Dey 2010) and there is currently a change of focus in contracting from traditional contracts toward performance-based contracts (Hypko, Tilebein, and Gleich 2010;Kim, Cohen, and Netessine 2007). Contracting and incentive systems may be useful in specifying and managing customers' and subcontractors' inputs into service production and delivery (Selviaridis and Norrman 2014).…”

Section: Performance Based Contracting and Modellingmentioning

confidence: 99%

See 3 more Smart Citations

A simulation based continuous improvement approach for manufacturing based field repair service contracting

Owida

Byrne

Heavey

et al. 2016

International Journal of Production Research

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Abstract:This paper develops and tests a novel extension to traditional supplier selection practice, with a particular focus on the concluding stages of a manufacturing based field service. Action based research was used to design and develop a discrete event simulation (DES) decision support for a large multinational manufacturing organisation with a significant after sales service supply chain.The framework has been designed to identify and validate the value attributable to collaborative supplier contracting with built in costed performance improvement targets. Use of the framework in the case organization was found to produce greater cost savings over traditional practice, facilitating extended supply chain contracts. The results provide evidence of the high level of savings achievable whilst also improving customer delivery through targeted service improvements over the contracts life cycle. This framework advances beyond the prevalent practice of cost focused short term adversarial supply contracting and is innovative in terms of its continuous improvement simulation based framework design.

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Section: Introductionmentioning

confidence: 85%

Section: Supplier Selectionmentioning

confidence: 99%

Section: Supplier Selectionmentioning

confidence: 99%

Section: Performance Based Contracting and Modellingmentioning

confidence: 99%

See 2 more Smart Citations

A simulation based continuous improvement approach for manufacturing based field repair service contracting

Owida

Byrne

Heavey

et al. 2016

International Journal of Production Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…Byrne et al [29] propose a simulation based supply partner selection decision support tool for service provision in Dell. Reverse auctions are replaced with a collaborative partner selection strategy, which is enabled by decision support costing models.…”

Section: Introductionmentioning

confidence: 99%

Collaboration partner selection for city logistics planning under municipal freight regulations

Awasthi

Adetiloye

Crainic

2016

Applied Mathematical Modelling

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a b s t r a c tCollaboration planning among city logistics operators is important to achieve operational efficiency under municipal freight regulations such as access, sizing and timing restrictions etc. In this paper, we present a fuzzy BOCR-GRA approach for collaboration partner selection for city logistics planning under the presence of municipal freight regulations. A multi-step approach is proposed. In the first step, we identify collaboration partner evaluation criteria using BOCR framework. In the second step, linguistic assessment of criteria and alternatives (collaboration partners) is performed by a decision making committee. The linguistic data is treated via fuzzy triangular numbers for analytical processing. In the third step, alternatives are ranked using Gray Relational Analysis technique (GRA) and five BOCR scoring methods. The different alternative ranks are subject to veto and the alternative(s) with highest top ranks are considered for sensitivity analysis whereby we analyze the influence of changes in criteria weights and scoring methods on their ranks. If the rankings remain unchanged, then the veto retained alternative(s) are declared as winner(s) and recommended for collaboration. A numerical application is provided. This is one of the first works to address the collaboration partner selection problem in the context of city logistics under limited or lack of quantitative data. A comprehensive set of criteria are proposed and the best solution is generated using veto role on various scores obtained from BOCR and fuzzy GRA, thereby eliminating any bias arising from method selection.

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Selection mechanism of water saving service company based on multi-attribute bidding and auction

Li,

Shi,

et al. 2024

Environ Dev Sustain

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A simulation based supply partner selection decision support tool for service provision in Dell

Cited by 13 publications

References 90 publications

A simulation based continuous improvement approach for manufacturing based field repair service contracting

A simulation based continuous improvement approach for manufacturing based field repair service contracting

Collaboration partner selection for city logistics planning under municipal freight regulations

Selection mechanism of water saving service company based on multi-attribute bidding and auction

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