Browsing by Author "Eiselt, H. A."

Now showing 1 - 10 of 10
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    A single allocation p-hub median problem with general piecewise-linear costs in arcs
    (2019) Luer-Villagra, Armin; Eiselt, H. A.; Marianov Kluge, Vladimir
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    Asymmetries in competitive location models on the line
    (2017) Eiselt, H. A.; Marianov Kluge, Vladimir
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    Employee positioning and workload allocation
    (PERGAMON-ELSEVIER SCIENCE LTD, 2008) Eiselt, H. A.; Marianov, Vladimir
    Assigning tasks to employees is a difficult task. Errors committed in such assignments can have far-reaching consequences, such as reduced efficiency due to absenteeism, lack of job satisfaction, formal grievances, and generally deteriorating labor relations. This paper approaches the problem from a spatial point of view. First, the employees and the relevant tasks are mapped in a skill space. After feasible task assignments are determined, tasks are assigned to employees so as to minimize employee-task distances in order to avoid boredom, and minimize disequity between the individual employees' workloads, and minimize costs. Computational results are provided for an engineering department of the Pontificia Universidad Catolica de Chile in Santiago, Chile. (C) 2006 Elsevier Ltd. All rights reserved.
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    Maximizing political vote in multiple districts
    (2020) Eiselt, H. A.; Marianov Kluge, Vladimir
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    Median Problems in Networks
    (2011) Marianov Kluge, Vladimir; Serra, Daniel; Eiselt, H. A.; Marianov, Vladimir
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    Mobile phone tower location for survival after natural disasters
    (ELSEVIER, 2012) Eiselt, H. A.; Marianov, Vladimir
    This paper discusses the location or strengthening of cell phone towers so as to maximize service coverage and minimize the loss of communications if a natural disaster happens. This paper demonstrates that, under a high likelihood of destruction of antennas (towers), the customary method of maximizing coverage provides poor solutions as compared to the proposed method. In addition to the maximization of service coverage, the objectives of our model include the minimization of expected and worst-case losses. The model is applied to a region in the south of Chile that was stricken by one of the most destructive earthquakes registered in history. Computational results are provided for a variety of scenarios. (C) 2011 Elsevier B.V. All rights reserved.
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    On agglomeration in competitive location models
    (2016) Marianov Kluge, Vladimir; Eiselt, H. A.
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    Stability of utility functions and apportionment rules in location models
    (2020) Eiselt, H. A.; Marianov Kluge, Vladimir
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    Transmitter location for maximum coverage and constructive-destructive interference management
    (PERGAMON-ELSEVIER SCIENCE LTD, 2012) Marianov, Vladimir; Eiselt, H. A.
    Covering location models consider a demand "covered" if there is at least one facility sited within a preset threshold distance. If more than one facility satisfies this criterion, it is implicitly assumed that one of these facilities - usually the closest - will serve the customer, while the remaining ones will have no relation to the demand. However, there are cases in which this multiple coverage has either synergetic or undesired effects. In digital television broadcast networks using Single Frequency Network transmissions, if a customer receives transmissions from more than one transmitter, the strongest transmitter is the main signal source, while the second and following transmitters can either contribute to a good reception or act as sources of interference, depending on the technology and their relative locations. In this case, facilities should be located so as to avoid overlapping coverage if there is interference, or enhancing overlapping coverage if signals are combined constructively. We propose models that are solved using a commercial software, that address this problem. One of these models is used to compare different alternatives of network design for a region in Chile, and to find the best coverage situations. (C) 2011 Elsevier Ltd. All rights reserved.
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    Workload assignment with training, hiring and firing
    (TAYLOR & FRANCIS LTD, 2008) Eiselt, H. A.; Marianov, V.
    This article discusses a workload allocation model in which tasks are matched to employees on the basis of a multi-dimensional skill measure. The main idea is to match positions and tasks to available and potential positions so as to minimize the differences in individuals' abilities and skill requirements. In addition to allocating existing personnel to positions, it is also possible to fire employees and hire new employees. The objectives of the mixed-integer optimization model include different types of costs and the proximity of an individual's capabilities to a task's ability requirements. A number of policies are formulated that allow different combinations of retraining of employees, as well as hiring and firing. These policies are applied to a real-life example that is solved by means of the constraint method. A variety of sensitivity analyses demonstrate the usefulness of the approach as a decision aid.