Traditional heuristic versus Hopfield neural network approaches to a car sequencing problem

Article Abstract:

The performances of neural networks and two heuristics in solving the NP-hard car sequencing problem (CSP) were compared. Specifically, the steepest descent and simulated annealing algorithms were compared to the standard Hopfield-Tank neural network and a modified Hopfield neural network that employs an energy function based on valid subspaces theory. Being a combinatorial optimization problem modeled as a nonlinear integer programming problem, the CSP involves the 'sequencing of different car models along an assembly line.'

Operations research, Research, Management science, Case studies, Integer programming

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Staff scheduling and rostering: a review of applications, methods and models

Article Abstract:

Staff scheduling and rostering has become increasingly important for the service oriented and cost conscious industry. Optimized staff schedules provide enormous benefits and require carefully implemented decision support systems.

Cost Control Techniques, Economic aspects, Scheduling (Management), Cost control, Cost reduction

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Generating, scheduling and rostering of shift crew-duties: applications at the Hong Kong International Airport

Article Abstract:

The application of heuristic goal programming techniques for the scheduling and rostering of crew duties, as part of manpower planning at the Hong Kong International Airport, is described.

Hong Kong, Personnel administration, Airports, flying fields, & services, Airports, Airport Operations, Methods, Usage, Company personnel management

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