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Sökning: LAR1:gu > (2010) > Chalmers tekniska högskola > Strömberg Ann Brith 1961

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1.
  • Lindroth, Peter, 1979, et al. (författare)
  • Approximating the Pareto Optimal Set using a Reduced Set of Objective Functions
  • 2010
  • Ingår i: European Journal of Operational Research. - : Elsevier BV. - 0377-2217. ; 207:3, s. 1519-1534
  • Tidskriftsartikel (refereegranskat)abstract
    • Real-world applications of multi-objective optimization often involve numerous objective functions. But while such problems are in general computationally intractable, it is seldom necessary to determine the Pareto optimal set exactly. A significantly smaller computational burden thus motivates the loss of precision if the size of the loss can be estimated. We describe a method for finding an optimal reduction of the set of objectives yielding a smaller problem whose Pareto optimal set w.r.t. a discrete subset of the decision space is as close as possible to that of the original set of objectives. Utilizing a new characterization of Pareto optimality and presuming a finite decision space, we derive a program whose solution represents an optimal reduction. We also propose an approximate, computationally less demanding formulation which utilizes correlations between the objectives and separates into two parts. Numerical results from an industrial instance concerning the configuration of heavy-duty trucks are also reported, demonstrating the usefulness of the method developed. The results show that multi-objective optimization problems can be significantly simplified with an induced error which can be measured.
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2.
  • Thörnblad, Karin, 1971, et al. (författare)
  • Optimization of schedules for a multitask production cell
  • 2010
  • Ingår i: Proceedings of The 22nd NOFOMA Conference in Kolding, Denmark, 10-11th of June 2010.
  • Konferensbidrag (refereegranskat)abstract
    • Purpose of this paper; To optimize production schedules of a real production cell containing multi-purpose machines working as a job-shop in a complex logistic environment producing aircraft engine components. The planning and control of the production in the so called multitask cell results in a complex combinatorial problem. Design/methodology/approach; A mathematical optimization model of the multitask cell has been developed and tested on real data instances. The current production planning prerequisites have been studied in order to choose an appropriate objective function. Findings; Production plans resulting from the optimization model, are compared with schedules formed by the First in First Out (FIFO) and Earliest Due Date (EDD) priority rules, which are similar to the current manual planning of the multitask cell. Practical implications; The proposed scheduling principle will shorten lead times, and provide a more efficient use of the resources of the multitask cell. The effects are most significant at times with high utilization of the cell. What is original/value of paper; The development of theory and practice of optimization, together with the development of computer hardware during the past decades, enable the utilization of optimization as a tool for computing efficient production schedules in a complex logistic environment.
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  • Resultat 1-2 av 2
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tidskriftsartikel (1)
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refereegranskat (2)
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Patriksson, Michael, ... (2)
Almgren, Torgny, 196 ... (1)
Lindroth, Peter, 197 ... (1)
Thörnblad, Karin, 19 ... (1)
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Göteborgs universitet (2)
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