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AMAT199 PRESENTATION - Finding the Optimal Location of Taytay Rizal’s Public Library

Apr 06, 2018

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  • 8/3/2019 AMAT199 PRESENTATION - Finding the Optimal Location of Taytay Rizals Public Library

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    Finding the OptimalLocation of Taytay Rizals

    Public Library

    Proponent: Francesco Jose Ricardo C.

    FranciscoAdviser: Professor Genaro Cuaresma

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    STATEMENT OF THE PROBLEM

    Given four possible sites, where is the optimal

    location of Taytay, Rizals public library in terms

    of accessibility and demand?

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    OBJECTIVES

    The study aims to:

    evaluate which among the four alternatives is

    the best location for Taytay, Rizals publiclibrary in terms

    a) Accessibility

    b) Demand

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    SIGNIFICANCE OF THE STUDY

    Aid local government officials in decision

    making

    Ease of accessibility to future libraryspotential customers

    High utilization of public library

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    P-CENTER MODEL

    Assumptions:

    A library can only be located at vertices

    Given candidate sites for the public libraryL = {1,2,,l} where l = 4

    Given customer/school sites S = {1,2,,s}where s = 72

    Dsl = distance between school s andcandidate site l

    ps = demand/population atcustomer/school s

    1 = number of library to be located

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    P-CENTER MODEL

    Decision Variables

    xl =

    x1 = near new municipal building

    x2 = old municipal building

    x3 = old slaughter housex4 = provincial library

    ysl =

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    P-CENTER MODEL

    Additional Variable

    ws =

    Objective Function

    Minimize F =

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    REVIEW OF RELATED LITERATURE

    Jia, H., Ordoez, F. and Dessouky, M. (2005).

    A Modeling Framework for Facility

    Location of Medical Services for Large-

    Scale Emergencies. Los Angeles, CA:University of Southern

    Abdel-Latif, Dr. Ahmed M. W. (2007).

    Combining GIS-Based Spatial Analysisand Optimization Techniques to Generate

    Optimum Facility Locations. Saudi: eMap

    Division Aramco.

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    REVIEW OF RELATED LITERATURE

    Miranda,Jose Roel Ordona. Finding The

    Best Location for a Fire Station in the

    University of the Philippines at Los

    Baos.

    Corpuz, Christie Sebastian. On Selecting

    the Best Location for the New Market

    site in Los Baos using the multicriteriaanalysis.

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    SCHEDULE OF ACTIVITIES

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

    SEPTEMBER

    Data Gathering

    JULY-AUGUSTActivities

    Appendices

    Literature Ci ted

    Recommendations

    S

    ummary and Conclusion

    Results and Discussion

    Methodology

    Theoretical Framework

    Time and Place of the Study

    Introduction

    Background of the Problem

    Statement of the Problem

    Significance of the Study

    Review of Related Literature

    Objectives of the Study

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    REFERENCES

    Pandit, V. (2004). Local Search Heuristics for Facility Location Problems. New Delhi,

    India: Department ofComputer Science and Engineering, Indian Institute ofTechnology Delhi.

    Hamacher, H., Nickel, S. and Schneider, A. (1996). Classification of Location Problems.

    Germany: Department of Mathematics, University of Kaiserslautern.

    Handler, G. and Mirchandani, P. (1979). Location on Networks Theory and Algorithms.

    Cambridge: MIT Press.

    Eiselt, H., Laporte, G. and Thisse, J.F. (1993). Competetive location models: A

    framework and bibliography. Transportation Science. 27(1): 44-54.

    Carrizosa, E.J., Conde, E., Munoz, M. and Puerto J. (1995). The generalized weber

    problem with expected distances. RAIRO. 29: 35-57.

    Francis, R., McGinnis, L.F. Jr. and White, J. (1992). Facilities Layout and Location (2nd

    ed.). Englewoods Cliffs, NJ: Prentice Hall.

    Castello, B. (2005). Semi-obnoxious Multifacility Location: Models and Methods.

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    REFERENCES

    Nickel, S. and Puerto, J. (1996).A unified approach to network location problems.

    Hakimi, S. (1964). Optimum location of switching centers and medians of a graph.

    Operations Research. 12, 450-459.

    Hooker, J., Garfinkel, R. and Chen, C. (1991). Finite dominating sets for network

    location problems. Operations Research. 39, n. 1, 100-118.

    Marianov, V. and Serra, D. (2009). Median Problems in Networks. Santiago, Chile:Pontifica Universidad Catolica de Chile.

    Drezner, Z. (edited). (1995). Facility Location: A survey of applications and methods.

    Springer, New York.

    Labbe, M., Peeters, D. and Thisse, J. (1995). Location on Networks. Handbooks in OR

    and MS. Vol. 8. Elsevier.

    Mirchindani, P. and Francis, R. (edited). (1990). Discrete Location Theory. New York:

    John Wiley and Sons.

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    REFERENCES

    Jia, H., Ordoez, F. and Dessouky, M. (2005).A Modeling Framework for Facility

    Location of Medical Services for Large-Scale Emergencies. Los Angeles, CA:University of Southern California. Daniel J. Epstein Department of Industrial and

    Systems Engineering.