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Facility Location Problems with Semi-fixed Costs and Time Availability

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F18%3A10240107" target="_blank" >RIV/61989100:27230/18:10240107 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21260/18:00323250

  • Result on the web

    <a href="https://mme2018.fm.vse.cz/wp-content/uploads/2018/09/MME2018-Electronic_proceedings.pdf" target="_blank" >https://mme2018.fm.vse.cz/wp-content/uploads/2018/09/MME2018-Electronic_proceedings.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Facility Location Problems with Semi-fixed Costs and Time Availability

  • Original language description

    Logistic chains must be planned efficiently and economically. Effectiveness demands goods being delivered to the required quality while economic criteria ask for delivery of goods at minimal cost. The following article considers the economic facets of the delivery process as expressed against the total costs of the process. Operation research methods, specifically mathematical programming models, will be used to calculate economic optimization scenarios. A range of distribution problems can be calculated by means of mathematical programming. Mathematical models applied to various problems may differ: some variants of the problems include locations of warehouses which are known; for others warehouse locations must be determined. In addition, particular customers may require deliveries from different locations at the same time; other customers may restrict deliveries to a single supplier. This article examines a problem in which warehouse locations must be determined (potential locations are known) and each customer may only take delivery from a single (operational) storage point. This type of problems is termed a facility location problem. In the course of this problem it shall be assumed that storage points at each location may be set up in any of multiple variants, which differ in capacity and subsequent associated setup costs. The optimization criteria taken into account will be the total costs for setting up a warehouse, its maintenance and cargo delivering. In addition to these cost criteria, the problem will take into account a second variable expressing the worst (maximum) time availability. A requirement for minimization will be set for both criteria. The STEM methodology will be used for calculations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Mathematical Methods in Economics : MME 2018 : 36th international conference : September 12-14, 2018, Jindřichův Hradec

  • ISBN

    978-80-7378-371-6

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    579-584

  • Publisher name

    MATFYZPRESS

  • Place of publication

    Praha

  • Event location

    Jindřichův Hradec

  • Event date

    Sep 12, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article