| Title |
A Study on Collaborative Logistics Network Design with Truck Sharing under Demand Uncertainty |
| ID_Doc |
70740 |
| Authors |
Ito, A; Kaihara, T; Kokuryo, D; Fujii, N |
| Title |
A Study on Collaborative Logistics Network Design with Truck Sharing under Demand Uncertainty |
| Year |
2023 |
| Published |
Ifac Papersonline, 56, 2 |
| DOI |
10.1016/j.ifacol.2023.10.120 |
| Abstract |
The sharing economy is a new innovative business model for more flexible and sustainable logistics. This paper proposes a stochastic programming model for supply chain network design with truck sharing. The model considers demand uncertainty and optimizes allocation and operation of trucks. A case study with realistic data is presented by applying the model to a supply chain with different collaboration level. A sensitivity analysis on cost parameter for sharing service is also conducted to evaluate the impact on business sustainability. The results show that higher collaboration level successfully copes with demand uncertainty, and improves revenues in the entire supply chain. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
| Author Keywords |
Cyber-Physical Manufacturing; Management and Control in Logistics; Integration of Enterprise Systems; Transportation Systems; Smart Cities |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001196709200342 |
| WoS Category |
Automation & Control Systems |
| Research Area |
Automation & Control Systems |
| PDF |
https://doi.org/10.1016/j.ifacol.2023.10.120
|