Browsing by Author "Cobian, A"

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    A fuel distribution knowledge-based decision support system
    (PERGAMON-ELSEVIER SCIENCE LTD, 1997) Nussbaum, M; Sepulveda, M; Cobian, A; Gaete, J; Parra, E; Cruz, J
    This paper reports the experience of solving the distribution problem for the biggest fuel company in Chile, A planning, execution and control system for fuel distribution was developed, It employs a knowledge-based approach that utilizes a graphical user interface which mimics the mental model of the user, An automatic scheduler solves the Capacity Vehicle Routing Problem, The solution ran be manually modified so verifying system consistency. The system is running throughout the country, 13 sites, having a positive impact on the three types of player, Plant managers have increased fleet efficiency and customers receive a higher quality service, Finally, the central administration obtains a report once a month from each of the plants that allows the strong and weak aspects of each site to be analyzed. (C) 1997 Elsevier Science Ltd.
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    Using global search heuristics for the capacity vehicle routing problem
    (PERGAMON-ELSEVIER SCIENCE LTD, 1998) Rodriguez, P; Nussbaum, M; Baeza, R; Leon, G; Sepulveda, M; Cobian, A
    In this work, a Frame is posed which allows to define global search heuristics in an efficient and declarative way, which interacts with a specific computational implementation of a problem. An overview of different ways to solve problems by the use of global search is presented, followed by the specification of the language proposed. A real decision support system was developed through the use of the language. The problem faced was an extension of the capacity vehicle routing problem. The followed approach minimizes the development cost of a decision support system for logistic and productive environments, since the performance of different heuristics can be tested using the language in a straightforward way. Besides, when new requirements or additional knowledge about the problem appear, the solving engine can be easily modified through the heuristic language. (C) 1998 Elsevier Science Ltd All rights reserved.