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Lyu, Guodong Zheng, Zhichao Natarajan, Karthik Yan, Zhenzhen Chou, Mabel C. Zhong, Yuanguang Kong, Qingxia Li, Xiaobo Gao, Sarah Yini Lee, Chung-Yee Chou, Mabel Simchi-Levi, David Cheung, Wang Chi Hasija, Sameer Chua, Geoffrey A. Liu, Nan Li, Shan Granic, Georg D. Shen, Zuo-Jun Yu, Yugang Sun, Libo Lambert, Nicolas Cheng, Cong Fu, Qi Sun, Hailong Savin, Sergei He, Eryn Juan Zheng, Huan Ke, Jiannan Moorthy, Rajeeva Goh, Joel Zhong, Yuan-Guang Padmanabhan, Dhanesh Sim, Chee-Khian Cheng, Young-leong Vohra, Rakesh V. Sethuraman, Jay Mishra, Vinit Kumar Zheng, Huan Sim, Melvyn Sim, Chee Khian Balakrishnan, Natarajan Huang, Zhengdong Lin, Wuqin Dai, Jam Song, Miao Doan, Xuan Vinh Liu, Ju Wang, Zheng Ma, Will Liang, Jinpeng Wang, Hai Zhao, Yanlu Papier, Felix Bi, Sheng He, Long Huang, Jinjia Wang, Fan Xu, Zhou Gao, Ziyou Chen, Ying Changchun, Liu Sheu, Jiuh Biing Giesecke, Kay Shanthikumar, J. George Liu, Peng All co-authors problem service design model data optimal approach network platform capacity policies using optimization supply time leakage operations set rule customers pricing patient chain targeting rules robust efficient choice different results programs stochastic fallacy used given use distributions program cash case online times gambler resource bundle fulfillment appointment distribution lottery linear key methodology paper number new studies lockers svf lieferkette level services cross right flexible locker chains hand pooling information structures models problems poverty provide random prices total transfer impact revisited convex border production applications behavior approximation hot process ensure optimality performance customer propose amazon provider managers preismanagement lagerhaltungsmodell smart real delivery platforms perspective management size representative consumer driven mile order sequencing variance squares disruption mitigation predictive revenue sparse distributionally issue practical particular analysis managerial near study adaptive analyze large obtained good provides bsp mechanism function multiple known greater
Composed allocation rules mathematische optimierung mathematical programming gambler fallacy supply chain svf rule scheduling verfahren scheduling problem supply chains pricing strategy pricing problem cross border data set hot hand stochastischer prozess stochastic process inventory model design allocation smart city representative consumer data driven resource pooling capacity planning distributionally robust bsp problem service durations optimality svf game theory business network probability theory sensitivity analysis cash transfer transfer programs city operations demand services bundle size size pricing consumer model border commerce locker alliance time dependent dependent patient patient behavior smallest variance rule optimal approximation distribution project completion completion times risk mitigation risk exposure exposure index differentiated service revenue management design sparse efficient structures container terminal problem definition academic practical practical relevance managerial implications using real real data discrete choice choice model seller fbs new approach demand endogeneity total expected patient shows distributionally robust optimization rules cash convex optimization model data multi product networks applications case locker challenges opportunities opportunities appointment sequencing smallest chains risk lottery play
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The information on the author is retrieved from: Entity Facts (by DNB = German National Library data service), DBPedia and Wikidata
Chung-Piaw Teo Alternative spellings: Chung Piaw Teo Teo Chung Piaw Chung Piaw Teo Teo Chung Piaw Biblio: Institute of Operations Research and Analytics, NUS Business School, National University of Singapore, Singapore
Affiliations Business School (Singapur)
Q92714988
Publishing years Series Faculty & research / Insead : working paper series (1) Stanford University Graduate School of Business research paper (1) 
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