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23 juin 2023
- handle: 10670/1.q9sede
- isbn: 9781032148571
- hal: hal-04325703
Mots-clés
urban and city logistics models challengesSujets proches
Hours (Time) Commonwealth, The Administration Scrip Investment securities Securities law Capitalization (Finance) Blue sky laws Securities--Law and legislation Portfolio Underwriting Government revenue Public revenue Retailing Retail industry Political thought Government Political theory Civil government Commonwealth, The Science, Political Administration Politics Organisation Nurture and nature Nature versus nurture Genetics and environment Nature--Nurture Environment Heredity and environment Cycles (Motorcycles) Bikes Conurbations MAs (Metropolitan areas) Metropolitan statistical areas Urban areas Models, Mathematical Factors Agents, Manufacturers' Manufacturers' representatives Administration Investing Investment management Portfolio Donations Presents Freight handling Cargo Transportation--Freight Affreightment Funds Funding Environment Ecological science Environmental biology Bionomics Ecological sciences Environment Balance of nature Oecology Biology--Ecology Ecological processes Expenses Costs (Economics) Factors Global cities Towns Urban systems Municipalities Urban areas Cargo Cycles (Bicycles) Bicycles and tricycles Bikes Administration Public administration--Law and legislation Law, Administrative Estates, Administration of Administration Environment Re-exports Transshipments Re-exporting Finance, commerce, confiscations, etcCiter ce document
Imen Ben Mohamed et al., « Multi-echelon Urban Distribution Networks: Models, Challenges and Perspectives », HAL-SHS : économie et finance, ID : 10670/1.q9sede
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Résumé
"This chapter presents two-echelon location and routing models and discusses their characteristics and solvability. It describes new paradigms in urban logistics and their challenges related to governance, green logistics, smart cities, and hyperconnected logistics. Designing distribution networks has critical impacts for city logistics stakeholders on cost, revenue and service levels to the city citizens. Using mathematical models to design the optimal distribution network is particularly constrained by the characterization of the operating environment and multiple factors such as demand, product portfolio, inventory levels, response time and returnability. The chapter focuses on the routing approaches dedicated to cargo bikes as this one is among the fastest-growing delivery modes in urban areas. A special emerging problem that challenges urban distribution and fits into the two-echelon setting is omnichannel retailing. The major challenge for cities and operators lies in the positioning of the transshipment and the resulting logistics organization: upstream for their supply, and downstream for delivery to customers."