The Nurse scheduling problem (NSP) of this paper is to study and analyze the scheduling process in practice, and propose models and heuristics to improve both the process and the quality of the resulting schedule. Nurses should benefit from this study by having higher quality schedules while the employees in charge of scheduling should enjoy the positive benefits of an optimization tool to solv...

In contrast to most programs for shift scheduling our approach is not based on the definition (of a few) explicit requirements and does not generate schedules automatically. This approach is different in two main issues. First, it does not deal with the vagueness and the ambiguity of real world requirements as neglectable shortcomings of pure scheduling problems. On the contrary, these features...

Program Transformations for Cache Locality Enhancement on Shared-memory Multiprocessors Naraig Manjikian Doctor of Philosophy Graduate Department of Electrical and Computer Engineering University of Toronto 1997 This dissertation proposes and evaluates compiler techniques that enhance cache locality and consequently improve the performance of parallel applications on shared-memory multiprocesso...

An increasing bandwidth demand has mandated a shift to the time and wavelength division multiplexing (TWDM) techniques in optical access networks (OAN). Typical TWDM scheduling schemes consider scheduling of the optical line terminal receiver only. In this paper we have identified an additional collision domain that is present in TWDM schemes that offer security, in addition to bandwidth flexib...

Disclosures. K. Oved, MeMed Diagnostics: Board Member, Employee and Shareholder, Salary E. Eden, MeMed Diagnostics: Board Member, Employee and Shareholder, Salary T. Gottlieb, MeMed Diagnostics: Employee, Salary R. Navon, MeMed Diagnostics: Employee, Salary A. Cohen, MeMed Diagnostics: Employee, Salary O. Boico, MeMed Diagnostics: Employee, Salary M. Paz, MeMed Diagnostics: Employee, Salary L. ...

The transportation problem (TP) is employed in many different situations, such as scheduling, performance, spending, plant placement, inventory control, and employee scheduling. When all variables, including supply, demand, unit costs (TC), are precisely known, effective solutions to the can be provided. However, understanding how investigate an uncertain environment essential. Additionally, bu...

In this work, Ant Colony Optimization (ACO) algorithm based applications have been developed and implemented for effective bed allocation system for patients and job scheduling system for employees of hospital. For the task of assigning beds to patients, constraints considered were total number of beds available, number of beds available unoccupied, number of days of patient admission in bed i....