Author:
Caputo Antonio C.,Pelagagge Pacifico M.,Scacchia Federica
Abstract
Logistic strategies represent a key factor to increase supply chain (SC) effectiveness, as the optimization of logistics networks enables transport and storage costs reduction as well as quick response leading to higher customer satisfaction. A useful approach for SC performance improvement may be pursued by resorting to advanced software tools able to analyze complex production scenarios, performing concurrent, synchronized and distributed simulations. Support to the logistics planning phase is offered by geographical information system technology, included in the simulation environment in order to manage related geographical data (i.e. warehouse location, choice of vehicle routeings, etc.). In the paper the main characteristics of the proposed hardware and software architecture have been illustrated, focusing attention on the logic phases for implementation by the transport federate. Furthermore, a preliminary functionality validation of the developed tool is presented with reference to simplified test cases.
Subject
Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Industrial relations,Management Information Systems
Reference31 articles.
1. Archibald, G., Karabakal, N. and Karlsson, P. (1999), “Supply chain vs supply chain: using simulation to compete beyond the four walls”, in Farrington, P.A., Nembhard, H.B., Sturrock, D.T. and Evans, G.W. (Eds), Proceedings of the 1999 Winter Simulation Conference, pp. 1207‐14.
2. Bodin, L. and Golden, B. (1981), “Classification in vehicle routing and scheduling”, Networks, No. 11, pp. 97‐108.
3. Bodin, L. and Golden, B. (1983), “Routing and scheduling of vehicles and crews”, Computers and Operations Research, No. 10, pp. 63‐211.
4. Bramel, J. and Simchi‐Levi, D. (1997), The Logic of Logistics: Theory, Algorithms and Applications for Logistics Management, Springer, New York, NY.
5. Bruzzone, A., Mosca, R. and Revetria, R. (Eds), (2001), Gestione Integrata di Sistemi Produttivi Interagenti: Metodi Quantitativi Avanzati per la Quick Response, DIP, Genoa (in Italian).
Cited by
21 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献