192 research outputs found

    Hazardous Materials Transportation: a Literature Review and an Annotated Bibliography

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    The hazardous materials transportation poses risks to life, health, property, and the environment due to the possibility of an unintentional release. We present a bibliographic survey on this argument paying particular attention to the road transportation. We attempt to encompass both theoretical and application oriented works. Research on this topic is spread over the broad spectrum of computer science and the literature has an operations research and quantitative risk assessment focus. The models present in the literature vary from simple risk equations to set of differential equations. In discussing the literature, we present and compare the underlying assumptions, the model specifications and the derived results. We use the previous perspectives to critically cluster the papers in the literature into a classification scheme

    An algorithm for the transportation problem with given frequencies

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    In this paper we consider the problem of shipping several products from an origin to a destination, when a discrete set of shipping frequencies is available only, in such a way that the sum of the transportation and inventory cost is minimized This problem, which is known to be NP-hard, has applications in transportation planning and in location analysis. We derive some dominance rules for the problem solutions which allow to tighten the bounds on the problem variables. Moreover, we present a branch-and-bound algorithm and we evaluate its performance on randomly generated problem instances. Document type: Part of book or chapter of boo

    Modelling and solving the multi-day container drayage problem

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    This paper deals with a general Multi-Day Container Drayage Problem (MDCDP) that consists in assigning trucks to container transportation orders during several days. To this aim, a Mixed Integer Linear Programming problem is formulated: the model describes real problems taking into account the orders to be planned for several days, the types of the containers and the rest periods of drivers. In order to address real scenarios, a heuristic algorithm based on the rolling horizon approach is proposed. Some randomly generated MDCDP instances validate the heuristic algorithm and a case study of real dimensions shows the effectiveness of the proposed solution technique

    A classification of DEA models when the internal structure of the Decision Making Units is considered

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    We classify the contributions of DEA literature assessing Decision Making Units (DMUs) whose internal structure is known. Starting from an elementary framework, we define the main research areas as shared flow, multilevel and network models, depending on the assumptions they are subject to. For each model category, the principal mathematical formulations are introduced along with their main variants, extensions and applications. We also discuss the results of aggregating efficiency measures and of considering DMUs as submitted to a central authority that imposes constraints or targets on them. A common feature among the several models is that the efficiency evaluation of the DMU depends on the efficiency values of its subunits thereby increasing the discrimination power of DEA methodology with respect to the black box approach

    Analysis and integration of optimization models for logistic systems

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    A mathematical model for periodic scheduling problems

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    A mathematical model is proposed for scheduling activities of periodic type. First a model is proposed for scheduling periodic events with particular time constraints. This problem, which could be considered the extension to periodic phenomena of ordinary scheduling with precedence constraints, is shown to be NP-complete. An algorithm for it of implicit enumeration type is designed based on network flow results, and its average complexity is discussed. Some extensions of the model are considered. The results of this first part serve as a basis in modelling periodic activities using resources. Several cases are considered. Finally some applications are presented for which the proposed model can be a useful tool

    Applying an optimization model to production management and logistics

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    2nonenoneUKOVICH W; M. SPERANZAUkovich, W; Speranza, Maria Grazi
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