Results 101 to 110 of about 137,584 (378)

Job Shop Scheduling Using Artificial Immune System [PDF]

, 2012
Efficiency in job shop scheduling plays an important role when a large number of jobs and machines are considered. The job shop scheduling problems are one of the NP hard problems. Many heuristic methods give solutions with near optimal results.
Mahapatra, Deepak Kumar
core  

AAPM Task Group No. 249.B—Essentials and guidelines for clinical medical physics residency training program

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract The establishment of guidelines and curriculum standards for medical physics residency training is a critical component of setting expectations and competencies for the profession. Since the last publication of these standards, residency training has become integrated into the eligibility criteria for most medical physics certification bodies.
Jonathon A. Nye, Joseph P. Dugas, William D. Erwin, David P. Gierga, Darryl G. Kaurin, Stephanie M. Leon, Ho‐Ling Anthony Liu, Zheng Feng Lu, Alphonso W. Magri, Lynn N. Rill, Leah K. Schubert, Beth A. Schueler, Irina Vergalasova, John Vetter, Brian D. Wichman, Amy Shu‐Jung Yu, Dandan Zheng   +16 more
wiley   +1 more source

Recurrent neural network approach for cyclic job shop scheduling problem [PDF]

, 2019
While cyclic scheduling is involved in numerous real-world applications, solving the derived problem is still of exponential complexity. This paper focuses specifically on modelling the manufacturing application as a cyclic job shop problem and we have developed an efficient neural network approach to minimise the cycle time of a schedule. Our approach
arxiv   +1 more source

Automated rapidplan model validation using Eclipse scripting API

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract RapidPlan offers efficiency gains and quality improvements in treatment planning. Prior to its use in the clinic, it requires an extensive validation procedure in which established clinical plans and those generated by the model are compared. The manual iterative nature of this process is resource intensive, as numerous iterations are required
Bradley Beeksma, Andrew Dipuglia, Joerg Lehmann   +2 more
wiley   +1 more source

Solving Flexible Job-Shop Scheduling Problem Using Gravitational Search Algorithm and Colored Petri Net

Journal of Applied Mathematics, 2012
Scheduled production system leads to avoiding stock accumulations, losses reduction, decreasing or even eliminating idol machines, and effort to better benefitting from machines for on time responding customer orders and supplying requested materials in ...
Behnam Barzegar, Homayun Motameni, Hossein Bozorgi   +2 more
doaj   +1 more source

Flow-time Optimization For Concurrent Open-Shop and Precedence Constrained Scheduling Models [PDF]

arXiv, 2018
Scheduling a set of jobs over a collection of machines is a fundamental problem that needs to be solved millions of times a day in various computing platforms: in operating systems, in large data clusters, and in data centers. Along with makespan, flow-time, which measures the length of time a job spends in a system before it completes, is arguably the
arxiv  

Scheduling of non-repetitive lean manufacturing systems under uncertainty using intelligent agent simulation [PDF]

, 2008
World-class manufacturing paradigms emerge from specific types of manufacturing systems with which they remain associated until they are obsolete. Since its introduction the lean paradigm is almost exclusively implemented in repetitive manufacturing ...
Mousavi, A, Papadopoulou, T C
core   +1 more source

Semi-autonomous Intersection Collision Avoidance through Job-shop Scheduling [PDF]

, 2015
In this paper, we design a supervisor to prevent vehicle collisions at intersections. An intersection is modeled as an area containing multiple conflict points where vehicle paths cross in the future. At every time step, the supervisor determines whether
Bussieck M. R., Chen L., Colombo A., Cormen T. H., Floudas C. A., Garey M. R., Grossmann I. E.   +6 more
core   +2 more sources

Towards better understanding of factors contributing to medical physicist well‐being in academic medical centers: A systems‐analysis approach

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract The well‐being of medical physicists can impact overall system performance, patient safety, and quality of patient care. There are limited formal assessments of factors contributing to physicists well‐being. Nine medical physicists at a US academic medical center were surveyed on 21 workplace factors, drawn from the National Academy of ...
Elizabeth Kwong, Chao Chin Liu, Karthik Adapa, Lisa Vizer, Brian Anderson, Damian McHugh, Todd Pawlicki, Moyed Miften, Amit Sawant, Nadia Charguia, Shiva Das, Lawrence B. Marks, Jean L. Wright, Lukasz Mazur   +13 more
wiley   +1 more source

Multi-Agent Communication for Dynamic Job-Shop Scheduling: A Robust Single-Machine Scheduling Model With Genetic Algorithm Optimization

IEEE Access
Job-shop scheduling is crucial in manufacturing systems but struggles with uncertainties like random job arrivals and disruptions. Traditional scheduling methods often rely on centralized control and predefined rules, limiting flexibility in dynamic ...
Hong-Phuc Nguyen, Quang-Hieu Ngo, van-Can Nguyen   +2 more
doaj   +1 more source