Titlebook: Integration of Information and Optimization Models for Routing in City Logistics; Jan Fabian Ehmke Book 2012 Springer Science+Business Med

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Integration of Information and Optimization Models for Routing in City Logistics

輕快走過(guò)

0884-8289 by an integrated methodological approach, which refers to synergies of Data Mining and Operations Research techniques by example of city logistics applications. These procedures will help improve the reliability of logistics services in congested urban areas.?.978-1-4899-9858-3978-1-4614-3628-7Series ISSN 0884-8289 Series E-ISSN 2214-7934

預(yù)測(cè)

Betriebswirtschaft in Jena und Jyv?skyl? (Finnland). Nach einigen Stationen in der freien Wirtschaft promovierte sie im Bereich Rechnungslegung. Seit 2010 arbeitet Sandra Otto am Fraunhofer-Zentrum für Mittel-978-3-662-47071-8978-3-662-47072-5

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Lice692

Introduction,s and increasing customer requirements demand for modern planning systems producing cost efficient and customer friendly delivery tours.To efficiently employ human and technical resources, such planning systems feature automated processing of orders while considering data about customer locations as

時(shí)代錯(cuò)誤

City LogisticsThe role of city logistics service providers has become more and more important in recent years, since just-in-time concepts have found their way into complex supply chains. This is reflected by challenging restrictions for delivery in terms of tight delivery time windows. Furthermore, city logistic

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Attended Home Delivery, city logistics service providers undertake the physical delivery of purchased goods to consumers by means of home deliveries. Meanwhile, their role has become crucial in underlying supply chains, because influence and former functions of distributors diminish.

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Gossamer

Analysis of Floating Car Datas at different levels of aggregation. The starting point for the construction of time-dependent information models is a sufficient number of system appearances in terms of historical traffic data. Historical traffic data can be derived from telematics-based data collection to a sufficient extent at

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