This paper concerns with the evaluation of the fulfilment process in an inventory/distribution multi-echelon system by the application of dynamic simulation. The generic supply chain is made of one or more warehouses, N-retailers and several customers. The performance of the generic fulfilment logistic channel, expressed in terms of customer service level and overall costs, depends on the behaviour of each one of itsentity (supplier, warehouse, retailer, etc.), on the adopted strategies and policies (reorder policy, centralization vs. decentralization, safety stocks management, order batching, replenishment time, lot sizing) and finally on the neighbourhood operating conditions (demand rate, holding and replenishment costs, supply lead times). A factorial analysis on the most critical factors affecting the performance of the whole system is conducted.
EVALUATION AND COMPARISON OF DIFFERENT FULFILLMENT POLICIES FOR INVENTORY-DISTRIBUTION MULTI-ECHELON SYSTEMS / Manzini, R.; Ferrari, E.; Gamberi, M.; Gamberini, Rita; Pareschi, A.; Regattieri, A.. - ELETTRONICO. - (2004), pp. ---. (Intervento presentato al convegno 11th IFAC Symposium on Information Control in Manufacturing tenutosi a Salvador - Bahia, Brasile nel 5-7 April).
EVALUATION AND COMPARISON OF DIFFERENT FULFILLMENT POLICIES FOR INVENTORY-DISTRIBUTION MULTI-ECHELON SYSTEMS
GAMBERINI, Rita;
2004
Abstract
This paper concerns with the evaluation of the fulfilment process in an inventory/distribution multi-echelon system by the application of dynamic simulation. The generic supply chain is made of one or more warehouses, N-retailers and several customers. The performance of the generic fulfilment logistic channel, expressed in terms of customer service level and overall costs, depends on the behaviour of each one of itsentity (supplier, warehouse, retailer, etc.), on the adopted strategies and policies (reorder policy, centralization vs. decentralization, safety stocks management, order batching, replenishment time, lot sizing) and finally on the neighbourhood operating conditions (demand rate, holding and replenishment costs, supply lead times). A factorial analysis on the most critical factors affecting the performance of the whole system is conducted.
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