Title: | A New Variant of Dynamic Pickup and Delivery Problem with Time Windows |
---|
Authors: | ID Valenta, Petr, Faculty of Informatics, Masaryk University, Brno, Czech Republic (Author) ID Rudová, Hana, Faculty of Informatics, Masaryk University, Brno, Czech Republic (Author) ID Atta, Soumen, Faculty of Informatics, Masaryk University, Brno, Czech Republic (Author) |
Files: |
This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS. |
---|
Language: | English |
---|
Work type: | Not categorized |
---|
Typology: | 1.08 - Published Scientific Conference Contribution |
---|
Organization: | UNG - University of Nova Gorica
|
---|
Abstract: | Motivated by the challenges faced by a logistics company, we present a new variant of the dynamic capacitated pickup and delivery problem with time windows (PDPTW) where excessive changes of unaffected routes are undesirable. In real-life scenarios, different dynamism sources such as canceled requests, change of demands, change of pickup, or delivery time windows often disrupt the existing planning of routes. The static PDPTW is solved with the current information about the problem well before executing the routes, such as the previous night. We present an algorithmic idea of a dynamic solver quickly addressing changes that occur due to the dynamism while avoiding excessive modifications to the previous solution. Since the company has not yet the dynamic data, new dynamic instances are generated from the existing static PDPTW instances in the literature. Preliminary results demonstrate that we can quickly incorporate the required changes. Future perspectives of this ongoing work are discussed in the end. |
---|
Keywords: | Dynamic Pickup and Delivery Problem, Time Windows, Heuristic |
---|
Year of publishing: | 2020 |
---|
Number of pages: | 3 |
---|
PID: | 20.500.12556/RUNG-8139 |
---|
COBISS.SI-ID: | 149411843 |
---|
NUK URN: | URN:SI:UNG:REP:PLLIA59B |
---|
Publication date in RUNG: | 17.04.2023 |
---|
Views: | 3143 |
---|
Downloads: | 0 |
---|
Metadata: | |
---|
:
|
Copy citation |
---|
| | | Average score: | (0 votes) |
---|
Your score: | Voting is allowed only for logged in users. |
---|
Share: | |
---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |