Facility location using GIS enriched demographic and lifestyle data for a traveling entertainment troupe in Bavaria, Germany

Abstract This paper presents the development and subsequent application of a facility location methodology for selecting good show locations for a traveling entertainment troupe in Bavaria, Germany. The troupe is headquartered at a theater in Munich and wishes to expand its audience by offering traveling shows to select sites across Bavaria. A spatial analysis of the region is completed via classic location theory modeling techniques, leading to the development of a multi-criteria facility location approach for application. Additionally, we use location analytics techniques on demographic and consumer spending data extracted from the Business Analyst Web App (BAWA) system for each of the 95 districts in Bavaria. This data is integrated into a decision support system to weight consumer demand values with district lifestyle population patterns aggregated at the postal code level. Lifestyle-weighted demand is then used to identify locations that maximize the amount of customers within a given travel distance to a show while maintaining dispersion of selected facilities.

[1]  Nikos I. Karacapilidis,et al.  Applying the service level criterion in a location-allocation problem , 1994, Decis. Support Syst..

[2]  Dursun Delen,et al.  An RFID network design methodology for asset tracking in healthcare , 2010, Decis. Support Syst..

[3]  Nasrin Asgari,et al.  Multiple criteria facility location problems: A survey , 2010 .

[4]  I. Moon,et al.  An Analysis of Network Location Problems with Distance Constraints , 1984 .

[5]  Richard L. Church,et al.  The maximal covering location problem , 1974 .

[6]  Alan T. Murray.  Maximal Coverage Location Problem , 2016 .

[7]  Mark Goh,et al.  Covering problems in facility location: A review , 2012, Comput. Ind. Eng..

[8]  R. Church,et al.  Theoretical and Computational Links between the p‐Median, Location Set‐covering, and the Maximal Covering Location Problem , 2010 .

[9]  Matthias Ehrgott,et al.  Multicriteria Optimization , 2005 .

[10]  Mark S. Daskin,et al.  Network and Discrete Location: Models, Algorithms and Applications , 1995 .

[11]  João C. N. Clímaco,et al.  A DSS for bicriteria location problems , 2014, Decis. Support Syst..

[12]  T. Dejonghe.  Restructuring the Belgian Professional Football League: A Location-Allocation Solution , 2004 .

[13]  Stefan Irnich,et al.  A new compact formulation for the discrete p-dispersion problem , 2017, Eur. J. Oper. Res..

[14]  Vittorio Maniezzo,et al.  Decision support for siting problems , 1998, Decis. Support Syst..

[15]  Rajan Batta,et al.  Public facility location using dispersion, population, and equity criteria , 2014, Eur. J. Oper. Res..

[16]  Alan Edelman,et al.  Julia: A Fast Dynamic Language for Technical Computing , 2012, ArXiv.

[17]  Iain Dunning,et al.  Computing in Operations Research Using Julia , 2013, INFORMS J. Comput..

[18]  Alan T. Murray,et al.  IMPACT MODELS FOR SITING UNDESIRABLE FACILITIES , 2005 .

[19]  Jeffrey L. Arthur,et al.  Finding all optimal solutions to the reserve site selection problem: formulation and computational analysis , 1997, Environmental and Ecological Statistics.

[20]  Erik Rolland,et al.  VisOpt: a visual interactive optimization tool for P-median problems , 1999, Decis. Support Syst..

[21]  D. Shier.  A Min-Max Theorem for p-Center Problems on a Tree , 1977 .

[22]  Liesje De Boeck,et al.  Optimizing the facility location design of organ transplant centers , 2013, Decis. Support Syst..

[23]  Oded Berman,et al.  The minimum weighted covering location problem with distance constraints , 2008, Comput. Oper. Res..

[24]  Charles S. ReVelle,et al.  The Location of Emergency Service Facilities , 1971, Oper. Res..

[25]  M. Kuby.  Programming Models for Facility Dispersion: The p‐Dispersion and Maxisum Dispersion Problems , 2010 .

[26]  Matthias Ehrgott,et al.  A discussion of scalarization techniques for multiple objective integer programming , 2006, Ann. Oper. Res..