Publisher
Springer International Publishing
Reference63 articles.
1. Addo-Tenkorang, R., & Helo, P. T. (2016). Big data applications in operations/supply-chain management: A literature review. Computers and Industrial Engineering, 101, 528–543.
2. Ahmadizar, F., Zeynivand, M., & Arkat, J. (2015). Two-level vehicle routing with cross-docking in a three-echelon supply chain: A genetic algorithm approach. Applied Mathematical Modelling, 39(22), 7065–7081.
3. Arunachalam, D., Kumar, N., & Kawalek, J. P. (2018). Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice. Transportation Research Part E: Logistics and Transportation Review, 114, 416–436.
4. Auld, J., Mohammadian, A. K., & Doherty, S. T. (2009). Modelling activity conflict resolution strategies using scheduling process data. Transportation Research Part A: Policy and Practice, 43(4), 386–400.
5. Baker, P., Croucher, P., & Rushton, A. (2017). The handbook of logistics and distribution management: Understanding the supply chain. Kogan Page Publishers.