TITLE/POSITION
Director of Data-driven Smart City, Transportation, and Logistics Laboratory
lmzhang@sribd.cn
EDUCATION BACKGROUND
PhD, CUHKSZ
MS, Nanjing University
BS, Northwest University
BIOGRAPHY
Dr. Zhang Lianmin currently serves as the Director and Senior Research Scientist at the Data-driven Smart City, Transportation, and Logistics Laboratory of SRIBD. He previously held the position of Associate Professor at the School of Engineering Management at Nanjing University. His primary research focuses on data-driven operations management.
Dr. Zhang Lianmin has authored more than 40 academic papers in international SCI/SSCI journals such as Operations Research, Production and Operations Management, Naval Research Logistics, Decision Science, Transportation Research Part B, European Journal of Operational Research, Computers and Operational Research, International Journal of Production Research, and Transportation Research Part E.
In recent years, he has been the principal investigator for several natural science fund projects. He currently holds positions as a council member of the China Logistics Society, a council member of the China Operational Research Society's Sorting Branch, and a council member of the Guangdong Operational Research Society's Logistics Branch. He also serves as a communication and review expert for the Research Grants Council (RGC) in Hong Kong and as a reviewer for top international journals such as Operations Research.
PERSONAL WEBSITE
https://lianminzhang2021.github.io
ACADEMIC PUBLICATIONS
Book Chapter
Scheduling with Stochastic Approaches. In Sequencing and Scheduling with Inaccurate Data, Editors: Yuri N. Sotskov and Frank Werner, Nova Science, 2013. (with X.Cai, X.Wu, X.Zhou)
Selected Journal Publication
[1] The Inventory Routing Problem under Uncertainty. Operations Research, 71(1), 378-395, 2023. (with Z.Cui, D.Long, J.Qi)
[2] Target-based Inventory Pooling Problem. Forthcoming at Production and Operations Management.(with Z.Cui, J.Ding, D. Long)
[3] Cost Sharing for Capacity Transfer in Cooperating Queueing Systems, Production and Operations Management, 27(4), 644-662, 2018.(with Y.Zeng, X.Cai, J.Li)
[4] Population Monotonic Allocation Schemes for the Two-Period Economic Lot-Sizing Games, Operations Research Letters. 51, 296-303，2023.(with Q.Jin, Y.Wu, Y.Zeng)
[5] Pricing Optimization under the Extended Nested Logit Model. Operations Research Letters. 51, 54-59，2023.(with L.Li, M.Li, H.Zhang)
[6] Store Brand Introduction in a Dual-Channel Supply Chain: The Roles of Quality Differentiation and Power Structure. OMEGA-The International Journal of Management Science. 116, 1-12, 102802, 2023.(with Y.Xiao, W.Niu, W.Xue)
[7] Pricing Optimization and Competition under the Linear Nested Stochastic Choice Model, Naval Research Logistics. 69(2), 201-222,2022. (with L.Li, M.Li, G.Ke)
[8] Target-oriented Location-transportation Problem with Service-level Measure. Transportation Research Part B: Methodological. 153, 1-20,2021. (with X.Wang, Y.Kuo, H.Shen)
[9] Optimal Purchasing Policy for Fresh Products from Multiple Supply Sources with Considerations of Random Delivery Times, Risk, and Information, Decision Sciences. 51(6), 1377-1410,2020.(with X.Xu, X.Cai)
[10] What Do Institutional Investors Bring to Initial Coin Offerings(ICOs)? Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022.(with S.Wang, X.Cai, L.Guan)
[11] Target-based Parallel machine total weighted completion time. International Journal of Production Research. Forthcoming. 2022. (with Y.Li, Y.Kuo, R.Li, H.Shen)
[12] Demand Forecasts with Judgement Bias in a Newsvendor Problem. International Journal of Production Research. Forthcoming. 2022. (with Y.Zheng, J.Li, Q.Fu)
[13] Is Group-Buying Price Mechanism a Good Choice in the Business-to-Business Systems? International Transaction of Operations Research. 2022. (with L.Guan, W.Gu, W.Niu)
[14] The Value of the Physical Internet on the Meals-On-Wheel Delivery Systems, International Journal of Production Economics. Forthcoming. 2022. (with M.Lin, S.Lin, L.Ma)
[15] Power Structure and Decarbonizing Investment under Innovation Uncertainty: A Triple Bottom Line Analysis. Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022. (with W.Niu, H.Shen)
[16] Optimal Group-buying Price Strategy Considering the Information Sharing of the Seller and Buyers in Social E-commerce. International Transaction of Operations Research. 29(3), 1769-1790, 2022.(with L.Guan, H.Chen, H.Ma)
[17] Target-based Distributionally Robust Optimization for Single Machine Scheduling. European Journal of Operational Research.299, 420-431, 2022. (with H.Lu, Z.Pei, Q.Jin)
[18] Balancing the Profit and Capacity under Uncertainties: A Target-based Distributionally Robust Knapsack Problem. International Transaction of Operations Research. 29(2), 760-782, 2022. (with J.Ding, L.Chen, G.Ke, Y.Li)
[19] Project Scheduling and Resources Allocation Based on Cooperative Games Theory, Annals of Operations Research. 301, 121-141, 2021.(with X.Lin, J. Zhou, Y.Zeng)
[20] Target-Based Project Crashing Problem by Adaptive Distributionally Robust Optimization, Computer and Industrial Engineering. 107160, 2021.(with Z.Cui, Y.Li, H.Shen)
[21] 3PL Firm’s Equity Financing for Technology Innovation in a Platform Supply Chain. Transportation Research Part E: Logistics and Transportation Review. 147, 102239, 1-20, 2021.(with H.Fu, G.Ke, Z.Lian)
[22] Revenue Sharing for Resource Transfer among Projects, Computer and Operations Research. 127, 105156, 1-14, 2021.(with X.Lin, X.Cai, J.Zhou, Y.Zeng)
[23] Who Is Better Off by Selling Extended Warranties in the Supply Chain: the Manufacturer, the Retailer, or Both? Annals of Operations Research. Forthcoming. 2021 (with L.Guan, D.Long, H.Shen, H.Tang)
[24] Single-Item Repairable Inventory System with New and Warranty Demand. Transportation Research Part E: Logistics and Transportation Review.142, 102035, 1-17, 2020. (with Y.Lin, J.Leung, J.Gu)
[25] Scheduling the Distribution of Perishable Products: A Vendor-managed Inventory Routing Approach. Transportation Research Part E: Logistics and Transportation Review. 140, 101964, 2020. (with W.Liu, G.Ke, J.Chen)
[26] Heterogeneous Suppliers’ Contract Design in Assembly Systems with Asymmetric Information. European Journal of Operational Research. 286, 140-163, 2020. (with Y.Lan, X.Cai, C.Shang, R.Zhao)
[27] Keep It or Give Back? Optimal Pricing Strategy of Reward-based Crowdfunding with Hybrid Mechanism, International Journal of Production Research. 58(22), 6868-6889, 2020.(with L.Guan, Y.Mu, X.Xu, J.Zhuang)
TITLE/POSITION
Director of Data-driven Smart City, Transportation, and Logistics Laboratory
lmzhang@sribd.cn
EDUCATION BACKGROUND
PhD, CUHKSZ
MS, Nanjing University
BS, Northwest University
BIOGRAPHY
Dr. Zhang Lianmin currently serves as the Director and Senior Research Scientist at the Data-driven Smart City, Transportation, and Logistics Laboratory of SRIBD. He previously held the position of Associate Professor at the School of Engineering Management at Nanjing University. His primary research focuses on data-driven operations management.
Dr. Zhang Lianmin has authored more than 40 academic papers in international SCI/SSCI journals such as Operations Research, Production and Operations Management, Naval Research Logistics, Decision Science, Transportation Research Part B, European Journal of Operational Research, Computers and Operational Research, International Journal of Production Research, and Transportation Research Part E.
In recent years, he has been the principal investigator for several natural science fund projects. He currently holds positions as a council member of the China Logistics Society, a council member of the China Operational Research Society's Sorting Branch, and a council member of the Guangdong Operational Research Society's Logistics Branch. He also serves as a communication and review expert for the Research Grants Council (RGC) in Hong Kong and as a reviewer for top international journals such as Operations Research.
PERSONAL WEBSITE
https://lianminzhang2021.github.io
ACADEMIC PUBLICATIONS
Book Chapter
Scheduling with Stochastic Approaches. In Sequencing and Scheduling with Inaccurate Data, Editors: Yuri N. Sotskov and Frank Werner, Nova Science, 2013. (with X.Cai, X.Wu, X.Zhou)
Selected Journal Publication
[1] The Inventory Routing Problem under Uncertainty. Operations Research, 71(1), 378-395, 2023. (with Z.Cui, D.Long, J.Qi)
[2] Target-based Inventory Pooling Problem. Forthcoming at Production and Operations Management.(with Z.Cui, J.Ding, D. Long)
[3] Cost Sharing for Capacity Transfer in Cooperating Queueing Systems, Production and Operations Management, 27(4), 644-662, 2018.(with Y.Zeng, X.Cai, J.Li)
[4] Population Monotonic Allocation Schemes for the Two-Period Economic Lot-Sizing Games, Operations Research Letters. 51, 296-303，2023.(with Q.Jin, Y.Wu, Y.Zeng)
[5] Pricing Optimization under the Extended Nested Logit Model. Operations Research Letters. 51, 54-59，2023.(with L.Li, M.Li, H.Zhang)
[6] Store Brand Introduction in a Dual-Channel Supply Chain: The Roles of Quality Differentiation and Power Structure. OMEGA-The International Journal of Management Science. 116, 1-12, 102802, 2023.(with Y.Xiao, W.Niu, W.Xue)
[7] Pricing Optimization and Competition under the Linear Nested Stochastic Choice Model, Naval Research Logistics. 69(2), 201-222,2022. (with L.Li, M.Li, G.Ke)
[8] Target-oriented Location-transportation Problem with Service-level Measure. Transportation Research Part B: Methodological. 153, 1-20,2021. (with X.Wang, Y.Kuo, H.Shen)
[9] Optimal Purchasing Policy for Fresh Products from Multiple Supply Sources with Considerations of Random Delivery Times, Risk, and Information, Decision Sciences. 51(6), 1377-1410,2020.(with X.Xu, X.Cai)
[10] What Do Institutional Investors Bring to Initial Coin Offerings(ICOs)? Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022.(with S.Wang, X.Cai, L.Guan)
[11] Target-based Parallel machine total weighted completion time. International Journal of Production Research. Forthcoming. 2022. (with Y.Li, Y.Kuo, R.Li, H.Shen)
[12] Demand Forecasts with Judgement Bias in a Newsvendor Problem. International Journal of Production Research. Forthcoming. 2022. (with Y.Zheng, J.Li, Q.Fu)
[13] Is Group-Buying Price Mechanism a Good Choice in the Business-to-Business Systems? International Transaction of Operations Research. 2022. (with L.Guan, W.Gu, W.Niu)
[14] The Value of the Physical Internet on the Meals-On-Wheel Delivery Systems, International Journal of Production Economics. Forthcoming. 2022. (with M.Lin, S.Lin, L.Ma)
[15] Power Structure and Decarbonizing Investment under Innovation Uncertainty: A Triple Bottom Line Analysis. Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022. (with W.Niu, H.Shen)
[16] Optimal Group-buying Price Strategy Considering the Information Sharing of the Seller and Buyers in Social E-commerce. International Transaction of Operations Research. 29(3), 1769-1790, 2022.(with L.Guan, H.Chen, H.Ma)
[17] Target-based Distributionally Robust Optimization for Single Machine Scheduling. European Journal of Operational Research.299, 420-431, 2022. (with H.Lu, Z.Pei, Q.Jin)
[18] Balancing the Profit and Capacity under Uncertainties: A Target-based Distributionally Robust Knapsack Problem. International Transaction of Operations Research. 29(2), 760-782, 2022. (with J.Ding, L.Chen, G.Ke, Y.Li)
[19] Project Scheduling and Resources Allocation Based on Cooperative Games Theory, Annals of Operations Research. 301, 121-141, 2021.(with X.Lin, J. Zhou, Y.Zeng)
[20] Target-Based Project Crashing Problem by Adaptive Distributionally Robust Optimization, Computer and Industrial Engineering. 107160, 2021.(with Z.Cui, Y.Li, H.Shen)
[21] 3PL Firm’s Equity Financing for Technology Innovation in a Platform Supply Chain. Transportation Research Part E: Logistics and Transportation Review. 147, 102239, 1-20, 2021.(with H.Fu, G.Ke, Z.Lian)
[22] Revenue Sharing for Resource Transfer among Projects, Computer and Operations Research. 127, 105156, 1-14, 2021.(with X.Lin, X.Cai, J.Zhou, Y.Zeng)
[23] Who Is Better Off by Selling Extended Warranties in the Supply Chain: the Manufacturer, the Retailer, or Both? Annals of Operations Research. Forthcoming. 2021 (with L.Guan, D.Long, H.Shen, H.Tang)
[24] Single-Item Repairable Inventory System with New and Warranty Demand. Transportation Research Part E: Logistics and Transportation Review.142, 102035, 1-17, 2020. (with Y.Lin, J.Leung, J.Gu)
[25] Scheduling the Distribution of Perishable Products: A Vendor-managed Inventory Routing Approach. Transportation Research Part E: Logistics and Transportation Review. 140, 101964, 2020. (with W.Liu, G.Ke, J.Chen)
[26] Heterogeneous Suppliers’ Contract Design in Assembly Systems with Asymmetric Information. European Journal of Operational Research. 286, 140-163, 2020. (with Y.Lan, X.Cai, C.Shang, R.Zhao)
[27] Keep It or Give Back? Optimal Pricing Strategy of Reward-based Crowdfunding with Hybrid Mechanism, International Journal of Production Research. 58(22), 6868-6889, 2020.(with L.Guan, Y.Mu, X.Xu, J.Zhuang)
TITLE/POSITION
Director of Data-driven Smart City, Transportation, and Logistics Laboratory
lmzhang@sribd.cn
EDUCATION BACKGROUND
PhD, CUHKSZ
MS, Nanjing University
BS, Northwest University
BIOGRAPHY
Dr. Zhang Lianmin currently serves as the Director and Senior Research Scientist at the Data-driven Smart City, Transportation, and Logistics Laboratory of SRIBD. He previously held the position of Associate Professor at the School of Engineering Management at Nanjing University. His primary research focuses on data-driven operations management.
Dr. Zhang Lianmin has authored more than 40 academic papers in international SCI/SSCI journals such as Operations Research, Production and Operations Management, Naval Research Logistics, Decision Science, Transportation Research Part B, European Journal of Operational Research, Computers and Operational Research, International Journal of Production Research, and Transportation Research Part E.
In recent years, he has been the principal investigator for several natural science fund projects. He currently holds positions as a council member of the China Logistics Society, a council member of the China Operational Research Society's Sorting Branch, and a council member of the Guangdong Operational Research Society's Logistics Branch. He also serves as a communication and review expert for the Research Grants Council (RGC) in Hong Kong and as a reviewer for top international journals such as Operations Research.
PERSONAL WEBSITE
https://lianminzhang2021.github.io
ACADEMIC PUBLICATIONS
Book Chapter
Scheduling with Stochastic Approaches. In Sequencing and Scheduling with Inaccurate Data, Editors: Yuri N. Sotskov and Frank Werner, Nova Science, 2013. (with X.Cai, X.Wu, X.Zhou)
Selected Journal Publication
[1] The Inventory Routing Problem under Uncertainty. Operations Research, 71(1), 378-395, 2023. (with Z.Cui, D.Long, J.Qi)
[2] Target-based Inventory Pooling Problem. Forthcoming at Production and Operations Management.(with Z.Cui, J.Ding, D. Long)
[3] Cost Sharing for Capacity Transfer in Cooperating Queueing Systems, Production and Operations Management, 27(4), 644-662, 2018.(with Y.Zeng, X.Cai, J.Li)
[4] Population Monotonic Allocation Schemes for the Two-Period Economic Lot-Sizing Games, Operations Research Letters. 51, 296-303，2023.(with Q.Jin, Y.Wu, Y.Zeng)
[5] Pricing Optimization under the Extended Nested Logit Model. Operations Research Letters. 51, 54-59，2023.(with L.Li, M.Li, H.Zhang)
[6] Store Brand Introduction in a Dual-Channel Supply Chain: The Roles of Quality Differentiation and Power Structure. OMEGA-The International Journal of Management Science. 116, 1-12, 102802, 2023.(with Y.Xiao, W.Niu, W.Xue)
[7] Pricing Optimization and Competition under the Linear Nested Stochastic Choice Model, Naval Research Logistics. 69(2), 201-222,2022. (with L.Li, M.Li, G.Ke)
[8] Target-oriented Location-transportation Problem with Service-level Measure. Transportation Research Part B: Methodological. 153, 1-20,2021. (with X.Wang, Y.Kuo, H.Shen)
[9] Optimal Purchasing Policy for Fresh Products from Multiple Supply Sources with Considerations of Random Delivery Times, Risk, and Information, Decision Sciences. 51(6), 1377-1410,2020.(with X.Xu, X.Cai)
[10] What Do Institutional Investors Bring to Initial Coin Offerings(ICOs)? Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022.(with S.Wang, X.Cai, L.Guan)
[11] Target-based Parallel machine total weighted completion time. International Journal of Production Research. Forthcoming. 2022. (with Y.Li, Y.Kuo, R.Li, H.Shen)
[12] Demand Forecasts with Judgement Bias in a Newsvendor Problem. International Journal of Production Research. Forthcoming. 2022. (with Y.Zheng, J.Li, Q.Fu)
[13] Is Group-Buying Price Mechanism a Good Choice in the Business-to-Business Systems? International Transaction of Operations Research. 2022. (with L.Guan, W.Gu, W.Niu)
[14] The Value of the Physical Internet on the Meals-On-Wheel Delivery Systems, International Journal of Production Economics. Forthcoming. 2022. (with M.Lin, S.Lin, L.Ma)
[15] Power Structure and Decarbonizing Investment under Innovation Uncertainty: A Triple Bottom Line Analysis. Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022. (with W.Niu, H.Shen)
[16] Optimal Group-buying Price Strategy Considering the Information Sharing of the Seller and Buyers in Social E-commerce. International Transaction of Operations Research. 29(3), 1769-1790, 2022.(with L.Guan, H.Chen, H.Ma)
[17] Target-based Distributionally Robust Optimization for Single Machine Scheduling. European Journal of Operational Research.299, 420-431, 2022. (with H.Lu, Z.Pei, Q.Jin)
[18] Balancing the Profit and Capacity under Uncertainties: A Target-based Distributionally Robust Knapsack Problem. International Transaction of Operations Research. 29(2), 760-782, 2022. (with J.Ding, L.Chen, G.Ke, Y.Li)
[19] Project Scheduling and Resources Allocation Based on Cooperative Games Theory, Annals of Operations Research. 301, 121-141, 2021.(with X.Lin, J. Zhou, Y.Zeng)
[20] Target-Based Project Crashing Problem by Adaptive Distributionally Robust Optimization, Computer and Industrial Engineering. 107160, 2021.(with Z.Cui, Y.Li, H.Shen)
[21] 3PL Firm’s Equity Financing for Technology Innovation in a Platform Supply Chain. Transportation Research Part E: Logistics and Transportation Review. 147, 102239, 1-20, 2021.(with H.Fu, G.Ke, Z.Lian)
[22] Revenue Sharing for Resource Transfer among Projects, Computer and Operations Research. 127, 105156, 1-14, 2021.(with X.Lin, X.Cai, J.Zhou, Y.Zeng)
[23] Who Is Better Off by Selling Extended Warranties in the Supply Chain: the Manufacturer, the Retailer, or Both? Annals of Operations Research. Forthcoming. 2021 (with L.Guan, D.Long, H.Shen, H.Tang)
[24] Single-Item Repairable Inventory System with New and Warranty Demand. Transportation Research Part E: Logistics and Transportation Review.142, 102035, 1-17, 2020. (with Y.Lin, J.Leung, J.Gu)
[25] Scheduling the Distribution of Perishable Products: A Vendor-managed Inventory Routing Approach. Transportation Research Part E: Logistics and Transportation Review. 140, 101964, 2020. (with W.Liu, G.Ke, J.Chen)
[26] Heterogeneous Suppliers’ Contract Design in Assembly Systems with Asymmetric Information. European Journal of Operational Research. 286, 140-163, 2020. (with Y.Lan, X.Cai, C.Shang, R.Zhao)
[27] Keep It or Give Back? Optimal Pricing Strategy of Reward-based Crowdfunding with Hybrid Mechanism, International Journal of Production Research. 58(22), 6868-6889, 2020.(with L.Guan, Y.Mu, X.Xu, J.Zhuang)
TITLE/POSITION
Director of Data-driven Smart City, Transportation, and Logistics Laboratory
lmzhang@sribd.cn
EDUCATION BACKGROUND
PhD, CUHKSZ
MS, Nanjing University
BS, Northwest University
BIOGRAPHY
Dr. Zhang Lianmin currently serves as the Director and Senior Research Scientist at the Data-driven Smart City, Transportation, and Logistics Laboratory of SRIBD. He previously held the position of Associate Professor at the School of Engineering Management at Nanjing University. His primary research focuses on data-driven operations management.
Dr. Zhang Lianmin has authored more than 40 academic papers in international SCI/SSCI journals such as Operations Research, Production and Operations Management, Naval Research Logistics, Decision Science, Transportation Research Part B, European Journal of Operational Research, Computers and Operational Research, International Journal of Production Research, and Transportation Research Part E.
In recent years, he has been the principal investigator for several natural science fund projects. He currently holds positions as a council member of the China Logistics Society, a council member of the China Operational Research Society's Sorting Branch, and a council member of the Guangdong Operational Research Society's Logistics Branch. He also serves as a communication and review expert for the Research Grants Council (RGC) in Hong Kong and as a reviewer for top international journals such as Operations Research.
PERSONAL WEBSITE
https://lianminzhang2021.github.io
ACADEMIC PUBLICATIONS
Book Chapter
Scheduling with Stochastic Approaches. In Sequencing and Scheduling with Inaccurate Data, Editors: Yuri N. Sotskov and Frank Werner, Nova Science, 2013. (with X.Cai, X.Wu, X.Zhou)
Selected Journal Publication
[1] The Inventory Routing Problem under Uncertainty. Operations Research, 71(1), 378-395, 2023. (with Z.Cui, D.Long, J.Qi)
[2] Target-based Inventory Pooling Problem. Forthcoming at Production and Operations Management.(with Z.Cui, J.Ding, D. Long)
[3] Cost Sharing for Capacity Transfer in Cooperating Queueing Systems, Production and Operations Management, 27(4), 644-662, 2018.(with Y.Zeng, X.Cai, J.Li)
[4] Population Monotonic Allocation Schemes for the Two-Period Economic Lot-Sizing Games, Operations Research Letters. 51, 296-303，2023.(with Q.Jin, Y.Wu, Y.Zeng)
[5] Pricing Optimization under the Extended Nested Logit Model. Operations Research Letters. 51, 54-59，2023.(with L.Li, M.Li, H.Zhang)
[6] Store Brand Introduction in a Dual-Channel Supply Chain: The Roles of Quality Differentiation and Power Structure. OMEGA-The International Journal of Management Science. 116, 1-12, 102802, 2023.(with Y.Xiao, W.Niu, W.Xue)
[7] Pricing Optimization and Competition under the Linear Nested Stochastic Choice Model, Naval Research Logistics. 69(2), 201-222,2022. (with L.Li, M.Li, G.Ke)
[8] Target-oriented Location-transportation Problem with Service-level Measure. Transportation Research Part B: Methodological. 153, 1-20,2021. (with X.Wang, Y.Kuo, H.Shen)
[9] Optimal Purchasing Policy for Fresh Products from Multiple Supply Sources with Considerations of Random Delivery Times, Risk, and Information, Decision Sciences. 51(6), 1377-1410,2020.(with X.Xu, X.Cai)
[10] What Do Institutional Investors Bring to Initial Coin Offerings(ICOs)? Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022.(with S.Wang, X.Cai, L.Guan)
[11] Target-based Parallel machine total weighted completion time. International Journal of Production Research. Forthcoming. 2022. (with Y.Li, Y.Kuo, R.Li, H.Shen)
[12] Demand Forecasts with Judgement Bias in a Newsvendor Problem. International Journal of Production Research. Forthcoming. 2022. (with Y.Zheng, J.Li, Q.Fu)
[13] Is Group-Buying Price Mechanism a Good Choice in the Business-to-Business Systems? International Transaction of Operations Research. 2022. (with L.Guan, W.Gu, W.Niu)
[14] The Value of the Physical Internet on the Meals-On-Wheel Delivery Systems, International Journal of Production Economics. Forthcoming. 2022. (with M.Lin, S.Lin, L.Ma)
[15] Power Structure and Decarbonizing Investment under Innovation Uncertainty: A Triple Bottom Line Analysis. Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022. (with W.Niu, H.Shen)
[16] Optimal Group-buying Price Strategy Considering the Information Sharing of the Seller and Buyers in Social E-commerce. International Transaction of Operations Research. 29(3), 1769-1790, 2022.(with L.Guan, H.Chen, H.Ma)
[17] Target-based Distributionally Robust Optimization for Single Machine Scheduling. European Journal of Operational Research.299, 420-431, 2022. (with H.Lu, Z.Pei, Q.Jin)
[18] Balancing the Profit and Capacity under Uncertainties: A Target-based Distributionally Robust Knapsack Problem. International Transaction of Operations Research. 29(2), 760-782, 2022. (with J.Ding, L.Chen, G.Ke, Y.Li)
[19] Project Scheduling and Resources Allocation Based on Cooperative Games Theory, Annals of Operations Research. 301, 121-141, 2021.(with X.Lin, J. Zhou, Y.Zeng)
[20] Target-Based Project Crashing Problem by Adaptive Distributionally Robust Optimization, Computer and Industrial Engineering. 107160, 2021.(with Z.Cui, Y.Li, H.Shen)
[21] 3PL Firm’s Equity Financing for Technology Innovation in a Platform Supply Chain. Transportation Research Part E: Logistics and Transportation Review. 147, 102239, 1-20, 2021.(with H.Fu, G.Ke, Z.Lian)
[22] Revenue Sharing for Resource Transfer among Projects, Computer and Operations Research. 127, 105156, 1-14, 2021.(with X.Lin, X.Cai, J.Zhou, Y.Zeng)
[23] Who Is Better Off by Selling Extended Warranties in the Supply Chain: the Manufacturer, the Retailer, or Both? Annals of Operations Research. Forthcoming. 2021 (with L.Guan, D.Long, H.Shen, H.Tang)
[24] Single-Item Repairable Inventory System with New and Warranty Demand. Transportation Research Part E: Logistics and Transportation Review.142, 102035, 1-17, 2020. (with Y.Lin, J.Leung, J.Gu)
[25] Scheduling the Distribution of Perishable Products: A Vendor-managed Inventory Routing Approach. Transportation Research Part E: Logistics and Transportation Review. 140, 101964, 2020. (with W.Liu, G.Ke, J.Chen)
[26] Heterogeneous Suppliers’ Contract Design in Assembly Systems with Asymmetric Information. European Journal of Operational Research. 286, 140-163, 2020. (with Y.Lan, X.Cai, C.Shang, R.Zhao)
[27] Keep It or Give Back? Optimal Pricing Strategy of Reward-based Crowdfunding with Hybrid Mechanism, International Journal of Production Research. 58(22), 6868-6889, 2020.(with L.Guan, Y.Mu, X.Xu, J.Zhuang)
TITLE/POSITION
Senior Research Scientist
Associate Dean of CUHKSZ
RESEARCH INTEREST
Operations Management
tongshilu@cuhk.edu.cn
EDUCATION BACKGROUND
Ph.D., Operations Management, Hong Kong University of Science and Technology
MSc, Fudan University
BSc, Fudan University
BIOGRAPHY
Shilu Tong received his Ph.D from Hong Kong University of Science and Technology. Prior to that, he received a Bachelor’s degree and Master’s degree from Fudan University, China. His research interest includes Operations Management.
PUBLICATIONS
1. "Dynamic Contract under Quick Response in a Supply Chain with Information Asymmetry",Zhang, J., L. Qi, S. Tong,Production and Operations Management,forthcoming
2. "Channel Structures of Online Retail Platforms",Ha, A., S. Tong, Y. Wang,Manufacturing & Service Operations Management,forthcoming
3. "Sharing Manufacturer's Demand Information in a Supply Chain with Price and Service Effort Competition",Wang, Y., Ha. A., S. Tong,Manufacturing & Service Operations Management,forthcoming
4. "Duopolistic Positioning and Pricing Competition with Variety-Seeking and Strategic Consumers",Wang, Y., W. Shang, S. Tong,Naval Research Logistics,forthcoming
5. "Sharing Demand Information in Competing Supply Chains with Cost Reduction Efforts",Ha, A. Y. J. Tian and S. Tong,Manufacturing and Service Operations Management,Vol. 19(2), pp 246-262, 2017
6. "On the Impact of Uncertain Cost Reduction when Selling to Strategic Customers",Shum, S., Tong, S., and Xiao, T.,Management Science,2017
7. "Information Sharing in a Supply Chain with a Common Retailer",Shang, W., Ha, A., and Tong, S.,Management Science,62(1): 245-263,2016
8. "Transparency of Information Acquisition in a Supply Chain",Li, Tian, Tong, Shilu and Zhang, Hongtao,Manufacturing and Service Operations Management,Vol. 16, No. 3,2014
9. "Sourcing under Cost Information Asymmetry When Facing Time-sensitive Customers",Xu, H, N. Yao and S. Tong,International Journal of Production Economics,Vol. 144, No. 2, 2013
10. "Sharing Imperfect Demand Information in Competing Supply Chains with Production Diseconomies",Ha, Albert., Tong, Shilu and Zhang, Hongtao,Management Science,Vol. 57, No. 3,2011
11. "Revenue Sharing Contracts in a Supply Chain with Uncontractible Actions",Ha, A., and S. Tong,Naval Research Logistics,Vol. 55, No. 5, 2008
12. "Contracting and Information Sharing under Supply Chains Competition",Ha, Albert and Tong, Shilu,Management Science,Vol. 54, No. 4,2008
TITLE/POSITION
Senior Research Scientist
Associate Dean of CUHKSZ
RESEARCH INTEREST
Operations Management
tongshilu@cuhk.edu.cn
EDUCATION BACKGROUND
Ph.D., Operations Management, Hong Kong University of Science and Technology
MSc, Fudan University
BSc, Fudan University
BIOGRAPHY
Shilu Tong received his Ph.D from Hong Kong University of Science and Technology. Prior to that, he received a Bachelor’s degree and Master’s degree from Fudan University, China. His research interest includes Operations Management.
PUBLICATIONS
1. "Dynamic Contract under Quick Response in a Supply Chain with Information Asymmetry",Zhang, J., L. Qi, S. Tong,Production and Operations Management,forthcoming
2. "Channel Structures of Online Retail Platforms",Ha, A., S. Tong, Y. Wang,Manufacturing & Service Operations Management,forthcoming
3. "Sharing Manufacturer's Demand Information in a Supply Chain with Price and Service Effort Competition",Wang, Y., Ha. A., S. Tong,Manufacturing & Service Operations Management,forthcoming
4. "Duopolistic Positioning and Pricing Competition with Variety-Seeking and Strategic Consumers",Wang, Y., W. Shang, S. Tong,Naval Research Logistics,forthcoming
5. "Sharing Demand Information in Competing Supply Chains with Cost Reduction Efforts",Ha, A. Y. J. Tian and S. Tong,Manufacturing and Service Operations Management,Vol. 19(2), pp 246-262, 2017
6. "On the Impact of Uncertain Cost Reduction when Selling to Strategic Customers",Shum, S., Tong, S., and Xiao, T.,Management Science,2017
7. "Information Sharing in a Supply Chain with a Common Retailer",Shang, W., Ha, A., and Tong, S.,Management Science,62(1): 245-263,2016
8. "Transparency of Information Acquisition in a Supply Chain",Li, Tian, Tong, Shilu and Zhang, Hongtao,Manufacturing and Service Operations Management,Vol. 16, No. 3,2014
9. "Sourcing under Cost Information Asymmetry When Facing Time-sensitive Customers",Xu, H, N. Yao and S. Tong,International Journal of Production Economics,Vol. 144, No. 2, 2013
10. "Sharing Imperfect Demand Information in Competing Supply Chains with Production Diseconomies",Ha, Albert., Tong, Shilu and Zhang, Hongtao,Management Science,Vol. 57, No. 3,2011
11. "Revenue Sharing Contracts in a Supply Chain with Uncontractible Actions",Ha, A., and S. Tong,Naval Research Logistics,Vol. 55, No. 5, 2008
12. "Contracting and Information Sharing under Supply Chains Competition",Ha, Albert and Tong, Shilu,Management Science,Vol. 54, No. 4,2008
TITLE/POSITION
Senior Research Scientist
Associate Dean of CUHKSZ
RESEARCH INTEREST
Operations Management
tongshilu@cuhk.edu.cn
EDUCATION BACKGROUND
Ph.D., Operations Management, Hong Kong University of Science and Technology
MSc, Fudan University
BSc, Fudan University
BIOGRAPHY
Shilu Tong received his Ph.D from Hong Kong University of Science and Technology. Prior to that, he received a Bachelor’s degree and Master’s degree from Fudan University, China. His research interest includes Operations Management.
PUBLICATIONS
1. "Dynamic Contract under Quick Response in a Supply Chain with Information Asymmetry",Zhang, J., L. Qi, S. Tong,Production and Operations Management,forthcoming
2. "Channel Structures of Online Retail Platforms",Ha, A., S. Tong, Y. Wang,Manufacturing & Service Operations Management,forthcoming
3. "Sharing Manufacturer's Demand Information in a Supply Chain with Price and Service Effort Competition",Wang, Y., Ha. A., S. Tong,Manufacturing & Service Operations Management,forthcoming
4. "Duopolistic Positioning and Pricing Competition with Variety-Seeking and Strategic Consumers",Wang, Y., W. Shang, S. Tong,Naval Research Logistics,forthcoming
5. "Sharing Demand Information in Competing Supply Chains with Cost Reduction Efforts",Ha, A. Y. J. Tian and S. Tong,Manufacturing and Service Operations Management,Vol. 19(2), pp 246-262, 2017
6. "On the Impact of Uncertain Cost Reduction when Selling to Strategic Customers",Shum, S., Tong, S., and Xiao, T.,Management Science,2017
7. "Information Sharing in a Supply Chain with a Common Retailer",Shang, W., Ha, A., and Tong, S.,Management Science,62(1): 245-263,2016
8. "Transparency of Information Acquisition in a Supply Chain",Li, Tian, Tong, Shilu and Zhang, Hongtao,Manufacturing and Service Operations Management,Vol. 16, No. 3,2014
9. "Sourcing under Cost Information Asymmetry When Facing Time-sensitive Customers",Xu, H, N. Yao and S. Tong,International Journal of Production Economics,Vol. 144, No. 2, 2013
10. "Sharing Imperfect Demand Information in Competing Supply Chains with Production Diseconomies",Ha, Albert., Tong, Shilu and Zhang, Hongtao,Management Science,Vol. 57, No. 3,2011
11. "Revenue Sharing Contracts in a Supply Chain with Uncontractible Actions",Ha, A., and S. Tong,Naval Research Logistics,Vol. 55, No. 5, 2008
12. "Contracting and Information Sharing under Supply Chains Competition",Ha, Albert and Tong, Shilu,Management Science,Vol. 54, No. 4,2008
TITLE/POSITION
Senior Research Scientist
Associate Dean of CUHKSZ
RESEARCH INTEREST
Operations Management
tongshilu@cuhk.edu.cn
EDUCATION BACKGROUND
Ph.D., Operations Management, Hong Kong University of Science and Technology
MSc, Fudan University
BSc, Fudan University
BIOGRAPHY
Shilu Tong received his Ph.D from Hong Kong University of Science and Technology. Prior to that, he received a Bachelor’s degree and Master’s degree from Fudan University, China. His research interest includes Operations Management.
PUBLICATIONS
1. "Dynamic Contract under Quick Response in a Supply Chain with Information Asymmetry",Zhang, J., L. Qi, S. Tong,Production and Operations Management,forthcoming
2. "Channel Structures of Online Retail Platforms",Ha, A., S. Tong, Y. Wang,Manufacturing & Service Operations Management,forthcoming
3. "Sharing Manufacturer's Demand Information in a Supply Chain with Price and Service Effort Competition",Wang, Y., Ha. A., S. Tong,Manufacturing & Service Operations Management,forthcoming
4. "Duopolistic Positioning and Pricing Competition with Variety-Seeking and Strategic Consumers",Wang, Y., W. Shang, S. Tong,Naval Research Logistics,forthcoming
5. "Sharing Demand Information in Competing Supply Chains with Cost Reduction Efforts",Ha, A. Y. J. Tian and S. Tong,Manufacturing and Service Operations Management,Vol. 19(2), pp 246-262, 2017
6. "On the Impact of Uncertain Cost Reduction when Selling to Strategic Customers",Shum, S., Tong, S., and Xiao, T.,Management Science,2017
7. "Information Sharing in a Supply Chain with a Common Retailer",Shang, W., Ha, A., and Tong, S.,Management Science,62(1): 245-263,2016
8. "Transparency of Information Acquisition in a Supply Chain",Li, Tian, Tong, Shilu and Zhang, Hongtao,Manufacturing and Service Operations Management,Vol. 16, No. 3,2014
9. "Sourcing under Cost Information Asymmetry When Facing Time-sensitive Customers",Xu, H, N. Yao and S. Tong,International Journal of Production Economics,Vol. 144, No. 2, 2013
10. "Sharing Imperfect Demand Information in Competing Supply Chains with Production Diseconomies",Ha, Albert., Tong, Shilu and Zhang, Hongtao,Management Science,Vol. 57, No. 3,2011
11. "Revenue Sharing Contracts in a Supply Chain with Uncontractible Actions",Ha, A., and S. Tong,Naval Research Logistics,Vol. 55, No. 5, 2008
12. "Contracting and Information Sharing under Supply Chains Competition",Ha, Albert and Tong, Shilu,Management Science,Vol. 54, No. 4,2008
POSITION/TITLE
Senior Engineer, Smart City/Transportation/Logistics Big Data Lab, SRIBD
RESEARCH FIELD
Operations Research of Supply Chain, deep learning and machine learning strategies in supply chain optimization, system architecture design
wangxin@sribd.cn
EDUCATION BACKGROUND
Bachelor, Northeastern University, Computer Science and Technology
Master, The Chinese University of HongKong(Shenzhen), EMSc Programme in Supply Chain and Logistics Management
BIOGRAPHY
WangXin currently serves as a senior engineer at the Smart City, Transportation, and Logistics Big Data Laboratory of the Shenzhen Research Institute of Big Data (SRIBD). Prior to joining the SRIBD, he has served as an artificial intelligence expert, system full stack architecture expert, and digital consulting expert in technology companies such as IBM. His fields of expertise include operations Research of supply chain, deep learning and machine learning strategies in supply chain optimization, system architecture design, and more. In recent years, he has leaded multiple major projects such as big data analysis, system architecture design, and supply chain operation in enterprises and institutions such as Tencent, Huawei, China General Nuclear Power Group, and China Southern Power Grid. He has nearly 20 years of rich project implementation experience. He has been invited for a long time to serve as an expert evaluation team member for the digital project in Shenzhen Futian District Development & Reform Bureau.
POSITION/TITLE
Senior Engineer, Smart City/Transportation/Logistics Big Data Lab, SRIBD
RESEARCH FIELD
Operations Research of Supply Chain, deep learning and machine learning strategies in supply chain optimization, system architecture design
wangxin@sribd.cn
EDUCATION BACKGROUND
Bachelor, Northeastern University, Computer Science and Technology
Master, The Chinese University of HongKong(Shenzhen), EMSc Programme in Supply Chain and Logistics Management
BIOGRAPHY
WangXin currently serves as a senior engineer at the Smart City, Transportation, and Logistics Big Data Laboratory of the Shenzhen Research Institute of Big Data (SRIBD). Prior to joining the SRIBD, he has served as an artificial intelligence expert, system full stack architecture expert, and digital consulting expert in technology companies such as IBM. His fields of expertise include operations Research of supply chain, deep learning and machine learning strategies in supply chain optimization, system architecture design, and more. In recent years, he has leaded multiple major projects such as big data analysis, system architecture design, and supply chain operation in enterprises and institutions such as Tencent, Huawei, China General Nuclear Power Group, and China Southern Power Grid. He has nearly 20 years of rich project implementation experience. He has been invited for a long time to serve as an expert evaluation team member for the digital project in Shenzhen Futian District Development & Reform Bureau.
POSITION/TITLE
Senior Engineer, Smart City/Transportation/Logistics Big Data Lab, SRIBD
RESEARCH FIELD
Operations Research of Supply Chain, deep learning and machine learning strategies in supply chain optimization, system architecture design
wangxin@sribd.cn
EDUCATION BACKGROUND
Bachelor, Northeastern University, Computer Science and Technology
Master, The Chinese University of HongKong(Shenzhen), EMSc Programme in Supply Chain and Logistics Management
BIOGRAPHY
WangXin currently serves as a senior engineer at the Smart City, Transportation, and Logistics Big Data Laboratory of the Shenzhen Research Institute of Big Data (SRIBD). Prior to joining the SRIBD, he has served as an artificial intelligence expert, system full stack architecture expert, and digital consulting expert in technology companies such as IBM. His fields of expertise include operations Research of supply chain, deep learning and machine learning strategies in supply chain optimization, system architecture design, and more. In recent years, he has leaded multiple major projects such as big data analysis, system architecture design, and supply chain operation in enterprises and institutions such as Tencent, Huawei, China General Nuclear Power Group, and China Southern Power Grid. He has nearly 20 years of rich project implementation experience. He has been invited for a long time to serve as an expert evaluation team member for the digital project in Shenzhen Futian District Development & Reform Bureau.
POSITION/TITLE
Senior Engineer, Smart City/Transportation/Logistics Big Data Lab, SRIBD
RESEARCH FIELD
Operations Research of Supply Chain, deep learning and machine learning strategies in supply chain optimization, system architecture design
wangxin@sribd.cn
EDUCATION BACKGROUND
Bachelor, Northeastern University, Computer Science and Technology
Master, The Chinese University of HongKong(Shenzhen), EMSc Programme in Supply Chain and Logistics Management
BIOGRAPHY
WangXin currently serves as a senior engineer at the Smart City, Transportation, and Logistics Big Data Laboratory of the Shenzhen Research Institute of Big Data (SRIBD). Prior to joining the SRIBD, he has served as an artificial intelligence expert, system full stack architecture expert, and digital consulting expert in technology companies such as IBM. His fields of expertise include operations Research of supply chain, deep learning and machine learning strategies in supply chain optimization, system architecture design, and more. In recent years, he has leaded multiple major projects such as big data analysis, system architecture design, and supply chain operation in enterprises and institutions such as Tencent, Huawei, China General Nuclear Power Group, and China Southern Power Grid. He has nearly 20 years of rich project implementation experience. He has been invited for a long time to serve as an expert evaluation team member for the digital project in Shenzhen Futian District Development & Reform Bureau.
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Logistics Scheduling, Optimization algorithm design, Container Drayage Problem
youjintao@sribd.cn
EDUCATION BACKGROUND
Huawei Technology, Postdoctoral Fellow
National University of Singapore, Research Fellow
Tsinghua University, PhD
BIOGRAPHY
Dr. You Jintao is currently a research scientist at the Smart City, Transportation, and Logistics Big Data Laboratory of the Shenzhen Big Data Research Institute. Prior to joining the Shenzhen Big Data Research Institute, he worked as a researcher at the National University of Singapore and Huawei Technologies Limited. His research papers have been published in renowned logistics and transportation journals such as Transportation Research Part B and Part E. He has led one Zhixin Project and one Guangdong Provincial Youth Joint Project, and has participated in three National Natural Science Foundation projects, one Singapore A*STAR project, and one Singapore Maritime and Port Authority project. Among these, the cloud resource bandwidth scheduling project he participated in at Huawei Cloud Algorithm Innovation Lab was shortlisted for the INFORMS 2023 Franz Edelman Finalist Award.
ACADEMIC PUBLICATIONS
You, J., Miao, L., Zhang, C., & Xue, Z. (2020). A generic model for the local container drayage problem using the emerging truck platooning operation mode. Transportation Research Part B: Methodological, 133, 181-209.
You, J., Wang, Y., & Xue, Z. (2023). An exact algorithm for the multi-trip container drayage problem with truck platooning. Transportation Research Part E: Logistics and Transportation Review, 175, 103138.
Xue, Z., Lin, H., & You, J.* (2021). Local container drayage problem with truck platooning mode. Transportation Research Part E: Logistics and Transportation Review, 147, 102211.
You, J., Zhang, C., Xue, Z., Miao, L., & Ye, B. (2021). A bi-objective model for robust local container drayage problem. RAIRO-Operations Research, 55, S625-S646.
Yuan, X., Zhao, P., Hu, H., You, J., Yang, C., Peng, W., ... & Teo, K. M. (2024). Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The GSCO System. INFORMS Journal on Applied Analytics, 54(1), 37-53.
OTHER OPTIONAL ENTRIES
INFORMS 2023 Franz Edelman Finalist Award
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Logistics Scheduling, Optimization algorithm design, Container Drayage Problem
youjintao@sribd.cn
EDUCATION BACKGROUND
Huawei Technology, Postdoctoral Fellow
National University of Singapore, Research Fellow
Tsinghua University, PhD
BIOGRAPHY
Dr. You Jintao is currently a research scientist at the Smart City, Transportation, and Logistics Big Data Laboratory of the Shenzhen Big Data Research Institute. Prior to joining the Shenzhen Big Data Research Institute, he worked as a researcher at the National University of Singapore and Huawei Technologies Limited. His research papers have been published in renowned logistics and transportation journals such as Transportation Research Part B and Part E. He has led one Zhixin Project and one Guangdong Provincial Youth Joint Project, and has participated in three National Natural Science Foundation projects, one Singapore A*STAR project, and one Singapore Maritime and Port Authority project. Among these, the cloud resource bandwidth scheduling project he participated in at Huawei Cloud Algorithm Innovation Lab was shortlisted for the INFORMS 2023 Franz Edelman Finalist Award.
ACADEMIC PUBLICATIONS
You, J., Miao, L., Zhang, C., & Xue, Z. (2020). A generic model for the local container drayage problem using the emerging truck platooning operation mode. Transportation Research Part B: Methodological, 133, 181-209.
You, J., Wang, Y., & Xue, Z. (2023). An exact algorithm for the multi-trip container drayage problem with truck platooning. Transportation Research Part E: Logistics and Transportation Review, 175, 103138.
Xue, Z., Lin, H., & You, J.* (2021). Local container drayage problem with truck platooning mode. Transportation Research Part E: Logistics and Transportation Review, 147, 102211.
You, J., Zhang, C., Xue, Z., Miao, L., & Ye, B. (2021). A bi-objective model for robust local container drayage problem. RAIRO-Operations Research, 55, S625-S646.
Yuan, X., Zhao, P., Hu, H., You, J., Yang, C., Peng, W., ... & Teo, K. M. (2024). Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The GSCO System. INFORMS Journal on Applied Analytics, 54(1), 37-53.
OTHER OPTIONAL ENTRIES
INFORMS 2023 Franz Edelman Finalist Award
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Logistics Scheduling, Optimization algorithm design, Container Drayage Problem
youjintao@sribd.cn
EDUCATION BACKGROUND
Huawei Technology, Postdoctoral Fellow
National University of Singapore, Research Fellow
Tsinghua University, PhD
BIOGRAPHY
Dr. You Jintao is currently a research scientist at the Smart City, Transportation, and Logistics Big Data Laboratory of the Shenzhen Big Data Research Institute. Prior to joining the Shenzhen Big Data Research Institute, he worked as a researcher at the National University of Singapore and Huawei Technologies Limited. His research papers have been published in renowned logistics and transportation journals such as Transportation Research Part B and Part E. He has led one Zhixin Project and one Guangdong Provincial Youth Joint Project, and has participated in three National Natural Science Foundation projects, one Singapore A*STAR project, and one Singapore Maritime and Port Authority project. Among these, the cloud resource bandwidth scheduling project he participated in at Huawei Cloud Algorithm Innovation Lab was shortlisted for the INFORMS 2023 Franz Edelman Finalist Award.
ACADEMIC PUBLICATIONS
You, J., Miao, L., Zhang, C., & Xue, Z. (2020). A generic model for the local container drayage problem using the emerging truck platooning operation mode. Transportation Research Part B: Methodological, 133, 181-209.
You, J., Wang, Y., & Xue, Z. (2023). An exact algorithm for the multi-trip container drayage problem with truck platooning. Transportation Research Part E: Logistics and Transportation Review, 175, 103138.
Xue, Z., Lin, H., & You, J.* (2021). Local container drayage problem with truck platooning mode. Transportation Research Part E: Logistics and Transportation Review, 147, 102211.
You, J., Zhang, C., Xue, Z., Miao, L., & Ye, B. (2021). A bi-objective model for robust local container drayage problem. RAIRO-Operations Research, 55, S625-S646.
Yuan, X., Zhao, P., Hu, H., You, J., Yang, C., Peng, W., ... & Teo, K. M. (2024). Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The GSCO System. INFORMS Journal on Applied Analytics, 54(1), 37-53.
OTHER OPTIONAL ENTRIES
INFORMS 2023 Franz Edelman Finalist Award
