A multi-echelon integrated JIT inventory model using the time buffer and emergency borrowing policies to deal with random delivery lead times

Chiu, Huan Neng; Huang, Hsin-Liang

doi:10.1080/0020754031000101303

Cited by 30 publications

(11 citation statements)

References 32 publications

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“…Restricting analysis to two locations of a single echelon is a common necessity when looking at complex transshiping decisions. It is for this reason that the paper by Chiu and Huang (2003) is this only known research that considers a system with more than two echelons. However, they then restrict focus to a single location of each echelon and assume that unmet demand can be satisfied through transshipments if required.…”

Section: Complete Poolingmentioning

confidence: 99%

See 1 more Smart Citation

Inventory models with lateral transshipments: A review

Paterson

Kiesmüller

Teunter

et al. 2011

European Journal of Operational Research

375

167

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Section: Complete Poolingmentioning

confidence: 99%

“…A natural expansion would be to consider how transshipments effect larger network. Chiu and Huang (2003) considered a system with multiple echelons that have a single location on each that could source outside transshipments. However this leaves plenty of scope for additional research.…”

Section: Conclusion and Some Proposals For Future Researchmentioning

confidence: 99%

Inventory models with lateral transshipments: A review

Paterson

Kiesmüller

Teunter

et al. 2011

European Journal of Operational Research

375

167

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“…Par exemple, l'incertitude en production est traitée par Ho et al (1995) qui s'intéressent à l'incertitude affectant les processus de production (pannes, délais d'exécution variables…) ou par Vargas & Dear (1991) qui se penchent sur les effets de l'incertitude concernant les temps de lancement et de production, les pannes des machines et les temps de réparation nécessaires. L'incertitude sur les approvisionnements est traitée, par exemple, par Chiu & Huang (2003) pour l'incertitude portant sur les délais de livraison et par Koh et al (2002) pour l'incertitude sur les composants (qualité, problèmes liés au fournisseur). L'incertitude affectant la demande apparaît par exemple dans les articles de Guide & Srivastava (2000) pour l'incertitude sur les quantités demandées, dans les modèles de Lowerre (1985), Wemmerlov (1986) ou plus récemment Krupp (1997) pour qui les stocks de sécurité servent à contrer les erreurs de prévision.…”

Section: Travaux Antérieursunclassified

Détermination des stocks de sécurité dans une chaîne logistique-amont dédiée à une production de masse de produits très diversifiés

Camisullis¹,

Giard²

2010

ournal Européen des Systèmes Automatisés

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le cas des politiques calendaires de réapprovisionnement, chaque maillon dispose de deux types de stocks de sécurité lui permettant de faire face à ces différentes sources de fluctuations : des stocks de sécurité de composants produits à destination des maillons aval et des stocks de sécurité de composants approvisionnés en provenance des maillons amont. Les procédures mobilisées doivent tenir compte du cadre organisationnel des échanges de flux d'informations, la pertinence des règles de réapprovisionnement ou de lancement en production reposant sur celle des informations structurelles propagées le long de la chaîne logistique. ABSTRACT. In an upstream supply chain dedicated to the mass production of customized products, many sources of production and supply instability can be identified: the level and structure of the production of the final assembly line, the variability of lead times, the quality issues, packaging and loading constraints in transport, the anticipation of the demand, the synchronization of the flows of the components sent, received and produced. In the case of periodic replenishment policies, two different types of safety stocks are needed for every plant of the supply chain, which prevent from these various sources of fluctuations: safety stocks of produced components to face up to the demand of its downstream links and safety stocks of supplied components to face up to its production. The mobilized procedures must take into account the organizational framework of the exchanges of information and products. The relevance of the supply and production rules is based on the relevance of structural information broadcast along the supply chain.

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“…There are numerous examples in the literature that demonstrate that this autonomous decision-making by each node leads to overall poor performance of the supply chain (Wadhwa et al 2009). For example, it was recognised that good buyer-vendor coordination is essential for establishing efficient logistics processes (Chiu and Huang 2003).…”

Section: Introductionmentioning

confidence: 99%

A decomposition approach for the performance analysis of a serial multi-echelon supply chain

Saetta

Paolini

Tiacci

et al. 2012

International Journal of Production Research

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Over the last decade, supply chain coordination has attracted much attention in the context of industrial logistics systems, because of the role played in production support logistics. There is a growing interest in the analysis and measurement of performances, because performance analysis allows us to build supporting decision tools for the design, planning and management of the supply chain. This paper presents an analytical approach for performance analysis based on a decomposition principle. The approach is applied to a serial supply chain that consists of two levels of suppliers, a production plant and a distribution centre, and operates as a pull system. This configuration is typical for bulk materials such as grain. The method allows us to approximately calculate performance indicators (such as customer satisfaction and inventory levels) taking into account all the interactions between the different echelons of the supply chain. The accuracy of the approximations is confirmed by the results obtained via a simulation model. Numerical analysis allows us to outline interesting and non-intuitive behaviour of the performance indicators for different stages of the supply chain.

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A multi-echelon integrated JIT inventory model using the time buffer and emergency borrowing policies to deal with random delivery lead times

Cited by 30 publications

References 32 publications

Inventory models with lateral transshipments: A review

Inventory models with lateral transshipments: A review

Détermination des stocks de sécurité dans une chaîne logistique-amont dédiée à une production de masse de produits très diversifiés

A decomposition approach for the performance analysis of a serial multi-echelon supply chain

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