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Dynamic Scheduling With Uncertain Job Types, Zuo-Jun Max Shen, Jingui Xie, Zhichao Zheng, Han Zhou
Dynamic Scheduling With Uncertain Job Types, Zuo-Jun Max Shen, Jingui Xie, Zhichao Zheng, Han Zhou
Research Collection Lee Kong Chian School Of Business
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 dynamically. Each job has a prior probability of belonging to a certain type which may be predicted by data, models, or experts. A job can only be processed by the right machine, and a job assigned to the wrong machine must be rescheduled. More information is learned from the mismatch, and job type …
R&D Project Scheduling When Activities May Fail, Bert De Reyck, Roel Leus
R&D Project Scheduling When Activities May Fail, Bert De Reyck, Roel Leus
Research Collection Lee Kong Chian School Of Business
An R&D project typically consists of several stages. Due to technological risks, the project may have to be terminated before completion, each stage having a specific likelihood of success. In the project planning and scheduling literature, this technological uncertainty has typically been ignored and project plans are developed only for scenarios in which the project succeeds. In this paper we examine how to schedule projects in order to maximize their expected net present value when the project activities have a probability of failure and when an activity's failure leads to overall project termination. We formulate the problem, show that it …
Mabs: Spreadsheet– Based Decision Support For Precision Marketing, Bert De Reyck, Zeger Degraeve
Mabs: Spreadsheet– Based Decision Support For Precision Marketing, Bert De Reyck, Zeger Degraeve
Research Collection Lee Kong Chian School Of Business
In this paper, we describe a decision support system developed for automatically scheduling and optimising broadcasts of advertisements to mobile phones via SMS (Short Message Service) text messaging. The system, MABS or “Mobile Advertising Broadcast Scheduler”, is developed in Microsoft Excel with a link to Lingo, a modelling language and IP solver. It was developed for a London-based company specialized in location-sensitive precision marketing via mobile phones. The system significantly reduced the time required to schedule the broadcasts, and resulted both in increased customer response and revenues.
Nurse Rostering Problems: A Bibliographic Survey, Brenda Cheang, Haibing Li, Andrew Lim, Brian Rodrigues
Nurse Rostering Problems: A Bibliographic Survey, Brenda Cheang, Haibing Li, Andrew Lim, Brian Rodrigues
Research Collection Lee Kong Chian School Of Business
Hospitals need to repeatedly produce duty rosters for its nursing staff. The good scheduling of nurses has impact on the quality of health care, the recruitment of nurses, the development of budgets and other nursing functions. The nurse rostering problem (NRP) has been the subject of much study. This paper presents a brief overview, in the form of a bibliographic survey, of the many models and methodologies available to solve the NRP.
Phase Transitions In Project Scheduling, Willy Herroelen, Bert De Reyck
Phase Transitions In Project Scheduling, Willy Herroelen, Bert De Reyck
Research Collection Lee Kong Chian School Of Business
Researchers in the area of artificial intelligence have recently shown that many NP-complete problems exhibit phase transitions. Often, problem instances change from being easy to being hard to solve to again being easy to solve when certain of their characteristics are modified. Most often the transitions are sharp, but sometimes they are rather continuous in the order parameters that are characteristic of the system as a whole. To the best of our knowledge, no evidence has been provided so far that similar phase transitions occur in NP-hard scheduling problems. In this paper we report on the existence of phase transitions …