Dynamic scheduling with uncertain job types

• Main Authors: SHEN, Zuo-Jun Max, XIE, Jingui, ZHENG, Zhichao, ZHOU, Han
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Scheduling; Uncertain Job Types; Predictive Information; Learning; Mismatch; Rescheduling; Business Administration, Management, and Operations; Operations and Supply Chain Management
• Online Access: https://ink.library.smu.edu.sg/lkcsb_research/7180; https://ink.library.smu.edu.sg/context/lkcsb_research/article/8179/viewcontent/SSRN_id4222017.pdf
• Institution: Singapore Management University

Uncertain job types can arise as a result of predictive or diagnostic inaccuracy in healthcare or repair service systems and unknown preferences in matching service systems. In this paper, we study systems with multiple types of jobs, in which type information is imperfect and will be updated dynami...