Performance modeling and analysis of integrated logistic chains: An analytic framework
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Cited by:
- Liu, Weihua & Liu, Xiaoyan & Li, Xiang, 2015. "The two-stage batch ordering strategy of logistics service capacity with demand update," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 65-89.
- Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
- Yang Yu & Ray Qing Cao & Dara Schniederjans, 2017. "Cloud computing and its impact on service level: a multi-agent simulation model," International Journal of Production Research, Taylor & Francis Journals, vol. 55(15), pages 4341-4353, August.
- Chiang, Nai-Yuan & Lin, Yiqing & Long, Quan, 2020. "Efficient propagation of uncertainties in manufacturing supply chains: Time buckets, L-leap, and multilevel Monte Carlo methods," Operations Research Perspectives, Elsevier, vol. 7(C).
- Mohammad Alaghebandha & Vahid Hajipour, 2015. "A soft computing-based approach to optimise queuing-inventory control problem," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(6), pages 1113-1130, April.
- Liu, Xiaoming & Lian, Zhaotong, 2009. "Cost-effective inventory control in a value-added manufacturing system," European Journal of Operational Research, Elsevier, vol. 196(2), pages 534-543, July.
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