International audienceThis paper examines the centralised monitoring of an upstream supply chain (USC) in the context of a mass customisation production system. We propose an adaptation of the material requirement planning framework to manage demand uncertainty at each stage of the USC. New analytical relations that exploit structural information on demand beyond the frozen horizon are developed for efficient decision-making and appropriate information sharing among the productive supply chain units. A numerical example to illustrate the implementation of the new analytical relations is provided, and a synthesis of benchmarks performed in the automotive industry is presented
This paper develops a new model for studying requirements planning in multistage production-inventor...
This paper describes an integer linear programming model conceived as an alternative to a traditiona...
Information sharing among supply chain echelons is now an acquired result. As a consequence, most o...
This paper examines the centralised monitoring of an upstream supply chain (USC) in the context of a...
This article focuses on the monitoring of a supply chain dedicated to the mass production of strongl...
This article focuses on the monitoring of a supply chain dedicated to the mass production of strongl...
Industry 4.0 will affect the complexity of supply chain networks. It will be necessary to adapt more...
In this PhD dissertation, we investigated the way of exploiting the demand forecasts for the upstrea...
This article focuses on the monitoring of a supply chain dedicated to the mass production of strongl...
In an upstream supply chain (USC) dedicated to the mass production of customized products, decentral...
This article focuses on the monitoring of a supply chain dedicated to a mass production of strongly ...
In an upstream supply chain (USC) dedicated to the mass production of customized products, decentral...
Dans cette thèse, nous nous sommes intéressés au mode d’exploitation de la demande prévisionnelle po...
International audienceInventory control in a supply chain is crucial for companies desiring to satis...
16th IFAC World Congress. July 3-8, 2005, Prague, Czech RepublicInternational audienceInventory cont...
This paper develops a new model for studying requirements planning in multistage production-inventor...
This paper describes an integer linear programming model conceived as an alternative to a traditiona...
Information sharing among supply chain echelons is now an acquired result. As a consequence, most o...
This paper examines the centralised monitoring of an upstream supply chain (USC) in the context of a...
This article focuses on the monitoring of a supply chain dedicated to the mass production of strongl...
This article focuses on the monitoring of a supply chain dedicated to the mass production of strongl...
Industry 4.0 will affect the complexity of supply chain networks. It will be necessary to adapt more...
In this PhD dissertation, we investigated the way of exploiting the demand forecasts for the upstrea...
This article focuses on the monitoring of a supply chain dedicated to the mass production of strongl...
In an upstream supply chain (USC) dedicated to the mass production of customized products, decentral...
This article focuses on the monitoring of a supply chain dedicated to a mass production of strongly ...
In an upstream supply chain (USC) dedicated to the mass production of customized products, decentral...
Dans cette thèse, nous nous sommes intéressés au mode d’exploitation de la demande prévisionnelle po...
International audienceInventory control in a supply chain is crucial for companies desiring to satis...
16th IFAC World Congress. July 3-8, 2005, Prague, Czech RepublicInternational audienceInventory cont...
This paper develops a new model for studying requirements planning in multistage production-inventor...
This paper describes an integer linear programming model conceived as an alternative to a traditiona...
Information sharing among supply chain echelons is now an acquired result. As a consequence, most o...