guest ::
| Home > Conference materials > Papers > DISTRIBUTION STRATEGY PLANNING FOR LAST-MILE DELIVERY AMID POTENTIAL URBAN POLICY TRAFFIC CHANGES: A DECISION MAKING MODEL APPROACH |
Original title:
DISTRIBUTION STRATEGY PLANNING FOR LAST-MILE DELIVERY AMID POTENTIAL URBAN POLICY TRAFFIC CHANGES: A DECISION MAKING MODEL APPROACH
Authors: Plajner, Martin ; Petřík, T.
Document type: Papers
Conference/Event: Carpathian Logistics Congress 2023 (CLC 2023), Prague (CZ), 20231108
Year: 2014
Language: eng
Abstract: In our prior research, we formulated a technique for planning distribution strategy amid future uncertainties. Conventional planning methods, which involve designing potential scenarios and defining probabilities, frequently face difficulties because of unforeseeable future events. Suboptimal strategies can emerge if the probabilities were assigned incorrectly at the beginning. The contribution of this article is a new method that avoids making rigid assumptions about the exact probability of each future scenario. Instead, it explores the entire allowable probability space and selects an optimal strategy in most situations. In the case study, the method’s usability is shown on a real-world company operating in Prague. We use it to model the impact of a city policy on the company’s operations within the city limits. Due to the frequent traffic restrictions in other major European cities and the overall trend of following more environmentally friendly policies, Prague is also expected to take this path. Accordingly, the company's operations could be significantly affected. By utilizing historical delivery data from the company and specialized simulation software, we model diverse distribution network scenarios under potential traffic restrictions, already in effect in other European cities, and probabilistically assess the future the company is facing.
Keywords: concurrent optimization model; distribution strategy planning; last mile delivery
Host item entry: Proceedings CLC 2023 - Carpathian Logistics Congress, ISBN 978-80-88365-17-4, ISSN 2694-9318
Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: https://library.utia.cas.cz/separaty/2024/MTR/plajner-0602462.pdf
Original record: https://hdl.handle.net/11104/0359707
Permalink: http://www.nusl.cz/ntk/nusl-668590
The record appears in these collections:
Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers
Authors: Plajner, Martin ; Petřík, T.
Document type: Papers
Conference/Event: Carpathian Logistics Congress 2023 (CLC 2023), Prague (CZ), 20231108
Year: 2014
Language: eng
Abstract: In our prior research, we formulated a technique for planning distribution strategy amid future uncertainties. Conventional planning methods, which involve designing potential scenarios and defining probabilities, frequently face difficulties because of unforeseeable future events. Suboptimal strategies can emerge if the probabilities were assigned incorrectly at the beginning. The contribution of this article is a new method that avoids making rigid assumptions about the exact probability of each future scenario. Instead, it explores the entire allowable probability space and selects an optimal strategy in most situations. In the case study, the method’s usability is shown on a real-world company operating in Prague. We use it to model the impact of a city policy on the company’s operations within the city limits. Due to the frequent traffic restrictions in other major European cities and the overall trend of following more environmentally friendly policies, Prague is also expected to take this path. Accordingly, the company's operations could be significantly affected. By utilizing historical delivery data from the company and specialized simulation software, we model diverse distribution network scenarios under potential traffic restrictions, already in effect in other European cities, and probabilistically assess the future the company is facing.
Keywords: concurrent optimization model; distribution strategy planning; last mile delivery
Host item entry: Proceedings CLC 2023 - Carpathian Logistics Congress, ISBN 978-80-88365-17-4, ISSN 2694-9318
Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: https://library.utia.cas.cz/separaty/2024/MTR/plajner-0602462.pdf
Original record: https://hdl.handle.net/11104/0359707
Permalink: http://www.nusl.cz/ntk/nusl-668590
The record appears in these collections:
Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers
Record created 2024-12-14, last modified 2024-12-14