A linear approximation model for the parameter design problem

Article Abstract:

A nonlinear programming (NLP) model based on the Taylor series expansion of a given function was utilized to generate solutions for the parameter design problem (PDP). The simple constrained NLP model for PDP can be applied in cases involving unknown transfer functions including other design considerations involving technical requirements and costs. Furthermore, multi-objective optimization techniques can be applied in cases involving more than two objective functions.

Operations Research, Models, Manufacturing processes, Manufacturing, Problem solving, Nonlinear programming

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Heuristic methods for gang-rip saw arbor designs

Article Abstract:

A study examines the problems of design and scheduling of arbors for a computer assisted gang-rip saw system used for processing lumber. Several heuristic procedures are developed as solutions based on the principles of local improvement, simulated annealing and genetic algorithms.

Methods, Study and teaching, Computational complexity, Computational complexity (Machine theory), Heuristic, Combinatorial optimization, Optimization theory, Mathematical programming, Heuristics (Psychology)

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A tabu search algorithm for the multi-stage parallel machine problem with limited buffer capacities

Article Abstract:

The problem of scheduling N jobs on parallel machines on L successive stages with limited buffer capacities between stages is investigated. With the main aim to find a schedule that would minimize the makesman, a tabu search algorithm is developed.

Evaluation, Algorithms, Algorithm

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