Research Output per year
Research Output per year
Project Details
Description
The Dynamically Adaptable Supply Chain Logistics (DASHlog) project started in March 2017 and continues previous research with YH Global Supply Chain Co., Ltd. The vision of the project is to enable supply chain management organisations to improve organisational performance by adapting quickly to new requirements, and systematically supporting project variations more closely in IT and operations.
This will be achieved by investigating to what extent a company can operate in “different modes” for both the current operations and IT systems. Switching between modes will be guided by an evaluation engine and a data analytics component.
Overall, the project aims to deliver a demonstrator prototype software system showing how and when to switch between modes, and documented operational procedures showing how operations can be modified to take advantage of the new modes.
This will be achieved by investigating to what extent a company can operate in “different modes” for both the current operations and IT systems. Switching between modes will be guided by an evaluation engine and a data analytics component.
Overall, the project aims to deliver a demonstrator prototype software system showing how and when to switch between modes, and documented operational procedures showing how operations can be modified to take advantage of the new modes.
| Status | Finished |
|---|---|
| Effective start/end date | 20/11/17 → 31/12/19 |
Funding
- Shenzhen YH Global Supply Chain Co Ltd
Keywords
- Logistics
- Information systems
- Adaptability
- Inventory
- Transportation
- Warehouses
- Industry
- Intelligent systems
Research Output
- 2 Abstract
-
An integrated order picking and packing method for e-commerce warehouses
Zhong, S., Giannikas, V., Merino, J., Lu, W. & McFarlane, D., Jun 2019, p. 109-109. 1 p.Research output: Contribution to conference › Abstract › peer-review
-
Coordinating inventory management and transportation decisions in a third-party logistics distribution network
Zissis, D., Puchkova, A., Giannikas, V. & Lu, W., 26 Jun 2019, p. 342-342. 1 p.Research output: Contribution to conference › Abstract › peer-review