A Routing with Simultaneous Pickup and Delivery Considering Carbon Emissions and Time Windows
- DOI
- 10.2991/978-94-6463-772-4_31How to use a DOI?
- Keywords
- Vehicle routing; Simultaneous pickup and delivery; Carbon emissions; Simulated Annealing; Large Neighborhood Search
- Abstract
The necessity for transportation is growing since human lifestyles change rapidly. Furthermore, since e-commerce has become widely used, more goods have been transported through delivery and courier companies. Nevertheless, transportation is responsible for around one-fifth, or 23%, of carbon emissions worldwide. This research will develop the Vehicle Routing Problem with Simultaneous Pickup and Delivery (VRPSPD) model considering carbon emissions and time windows through an actual case study in one of Indonesia’s courier and delivery companies. The metaheuristics methods of Large Neighborhood Search (LNS) and Simulated Annealing (SA) are used to solve this VRPSPD model. Both algorithms are executed with Python. The proposed SA algorithm’s daily total cost is Rp 1.953.198,84, while LNS is Rp 1.813.115,99. It has been shown that LNS provides a superior solution than SA due of its lower total cost, which leads to lower emissions, distance, and travel time.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Nazhifa Rahmi Susilo AU - Agus Darmawan PY - 2025 DA - 2025/07/01 TI - A Routing with Simultaneous Pickup and Delivery Considering Carbon Emissions and Time Windows BT - Proceedings of the 10th International Conference on Science and Technology (ICST 2024) PB - Atlantis Press SP - 349 EP - 360 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-772-4_31 DO - 10.2991/978-94-6463-772-4_31 ID - Susilo2025 ER -