Assessment of organizational policies in a retail store based on a simulation model

This paper evaluates three organizational policies in a retail store by a discrete simulation model in Simio®. The policies implemented were using one, two, or three express checkouts, cross-trained workers, and allocating one, two, or three weighing counters in the produce section (fruit and vegeta...

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Authors: Coronado-Hernandez, Jairo R., Macías-Jiménez, Mayra A., Chica-Llamas, Joned D., Zapata-Márquez, José I.
Format: article
Status:Versión aceptada para publicación
Publication Date:2021
Country:Colombia
Institution:Corporación Universidad de la Costa
Repository:Repositorio REDICUC
Language:English
OAI Identifier:oai:repositorio.cuc.edu.co:11323/8840
Online Access:https://hdl.handle.net/11323/8840
https://repositorio.cuc.edu.co/
Access Level:Embargoed access
Keyword:Organizational policies
Retail industry
Simulation model
Express checkouts
Cross-trained workers
Weighing counters
Queuing theory
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oai_identifier_str oai:repositorio.cuc.edu.co:11323/8840
network_acronym_str CO
network_name_str Colombia
repository_id_str
dc.title.none.fl_str_mv Assessment of organizational policies in a retail store based on a simulation model
title Assessment of organizational policies in a retail store based on a simulation model
spellingShingle Assessment of organizational policies in a retail store based on a simulation model
Coronado-Hernandez, Jairo R.
Organizational policies
Retail industry
Simulation model
Express checkouts
Cross-trained workers
Weighing counters
Queuing theory
title_short Assessment of organizational policies in a retail store based on a simulation model
title_full Assessment of organizational policies in a retail store based on a simulation model
title_fullStr Assessment of organizational policies in a retail store based on a simulation model
title_full_unstemmed Assessment of organizational policies in a retail store based on a simulation model
title_sort Assessment of organizational policies in a retail store based on a simulation model
dc.creator.none.fl_str_mv Coronado-Hernandez, Jairo R.
Macías-Jiménez, Mayra A.
Chica-Llamas, Joned D.
Zapata-Márquez, José I.
author Coronado-Hernandez, Jairo R.
author_facet Coronado-Hernandez, Jairo R.
Macías-Jiménez, Mayra A.
Chica-Llamas, Joned D.
Zapata-Márquez, José I.
author_role author
author2 Macías-Jiménez, Mayra A.
Chica-Llamas, Joned D.
Zapata-Márquez, José I.
author2_role author
author
author
dc.subject.none.fl_str_mv Organizational policies
Retail industry
Simulation model
Express checkouts
Cross-trained workers
Weighing counters
Queuing theory
topic Organizational policies
Retail industry
Simulation model
Express checkouts
Cross-trained workers
Weighing counters
Queuing theory
description This paper evaluates three organizational policies in a retail store by a discrete simulation model in Simio®. The policies implemented were using one, two, or three express checkouts, cross-trained workers, and allocating one, two, or three weighing counters in the produce section (fruit and vegetables). These policies were evaluated during days with low, medium, and high demand over critical performance metrics such as the queue length, waiting time, active and idle time rate, the average time in the system, average service time, and sales. Our results demonstrated that all policies are beneficial for the studied system but in days with high demand. In days with low or medium demand, there were good improvements for some indicators, but this conflicted with others. As the simulation model was implemented to evaluate each policy independently, a future direction should include studying the performance simultaneously.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-08T13:09:11Z
2021-11-08T13:09:11Z
2021-09-17
2022-09-17
dc.type.none.fl_str_mv Artículo de revista
http://purl.org/coar/resource_type/c_6501
Text
info:eu-repo/semantics/article
http://purl.org/redcol/resource_type/ART
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/version/c_ab4af688f83e57aa
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv 03029743
https://hdl.handle.net/11323/8840
10.1007/978-3-030-84340-3_20
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
https://repositorio.cuc.edu.co/
identifier_str_mv 03029743
10.1007/978-3-030-84340-3_20
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/8840
https://repositorio.cuc.edu.co/
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Alkitbi, S.S., Alshurideh, M., Al Kurdi, B., Salloum, S.A.: Factors affect customer retention: a systematic review. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds.) AISI 2020. AISC, vol. 1261, pp. 656–667. Springer, Cham (2021). https://ezproxy.cuc.edu.co:2067/10.1007/978-3-030-58669-0_59
Dahm, M., Wentzel, D., Herzog, W., Wiecek, A.: Breathing down your neck!: the impact of queues on customers using a retail service. J. Retail. 94, 217–230 (2018). https://ezproxy.cuc.edu.co:2067/10.1016/j.jretai.2018.04.002
Penceliah, D.S., Noel, D.T., Adat, N.: Customer satisfaction within pharmacies in a supermarket: a South African perspective. Probl. Perspect. Manag. 13, 452–459 (2015)
Zhang, Q.: Multi-agent based supermarket queuing model and optimization. Adv. Intell. Soft Comput. 129, 635–640 (2011). https://ezproxy.cuc.edu.co:2067/10.1007/978-3-642-25986-9_99
Antczak, T., Weron, R., Zabawa, J.: Data-driven simulation modeling of the checkout process in supermarkets: insights for decision support in retail operations. IEEE Access 8, 228841–228852 (2020).
Chai, C.-F.: Problem analysis and optimizing of setting service desks in supermarket based on M/M/C queuing system. In: Qi, E., Shen, J., Dou, R. (eds.) The 19th International Conference on Industrial Engineering and Engineering Management, pp. 833–841. Springer, Heidelberg (2013). https://ezproxy.cuc.edu.co:2067/10.1007/978-3-642-38391-5_88
Pereira Junior, J.V., da Silva, A.M., de Moraes, D.G.: Discrete simulation applied to queue management in a supermarket. Indep. J. Manag. Prod. 11, 1667 (2020).
Li, K., Pan, Y., Liu, B., Cheng, B.: The setting and optimization of quick queue with customer loss. J. Ind. Manag. Optim. 16, 1539–1553 (2020). https://ezproxy.cuc.edu.co:2067/10.3934/JIMO.2019016
Mou, S., Robb, D.J.: Real-time labour allocation in grocery stores: a simulation-based approach. Decis. Support Syst. 124, 113095 (2019). https://ezproxy.cuc.edu.co:2067/10.1016/j.dss.2019.113095
Luo, R., Shi, Y.: Analysis and optimization of supermarket operation mode based on queuing theory: queuing and pricing of personalized service. In: ACM International Conference Proceeding Series, pp. 221–224 (2020). https://ezproxy.cuc.edu.co:2067/10.1145/3380625.3380635
Zhou, H., Chen, X., Wang, X., Wang, L.: Design of fruits and vegetables online inspection system based on vision. J. Phys. Confe. Ser. 1074, 012160 (2018). https://ezproxy.cuc.edu.co:2067/10.1088/1742-6596/1074/1/012160
Kwak, J.K.: Analysis on the effect of express checkouts in retail stores. J. Appl. Bus. Res. 33, 765–772 (2017). https://ezproxy.cuc.edu.co:2067/10.19030/jabr.v33i4.9998
Deck, C., Kimbrough, E.O., Mongrain, S.: Paying for express checkout: competition and price discrimination in multi-server queuing systems. PLoS ONE 9(3), e92070 (2014). https://ezproxy.cuc.edu.co:2067/10.1371/journal.pone.0092070
Terekhov, D., Christopher Beck, J.: An extended queueing control model for facilities with front room and back room operations and mixed-skilled workers. Eur. J. Oper. Res. 198, 223–231 (2009). https://ezproxy.cuc.edu.co:2067/10.1016/j.ejor.2008.08.013
Wang, J.: An optimal deterministic control policy of servers in front and back rooms with a variable number of switching points and switching costs. Sci. China Ser. F Inf. Sci. 52(7), 1113–1119 (2009). https://ezproxy.cuc.edu.co:2067/10.1007/s11432-009-0130-9
Rengarajan, V., Vijay Anand, V., Vijayabanu, C., Thiyagarajan, S.: Customer perception on waiting time in super markets – an exploratory study using one way anova. Int. J. Sci. Technol. Res. 8, 2649–2659 (2019)
Simio LLC: Simio 9.147 (2016)
Chica Llamas, J.D., Zapata Márquez, J.I.: Modelo de simulación para la evaluación del impacto de las políticas de pesaje, personal polivalente y cajas rápidas en el rendimiento operacional de empresas minorista. Caso Megatiendas Express - Sector Prado (2012). http://biblioteca.utb.edu.co/notas/tesis/0063077.pdf
Coronado-Hernández, J.R., Macías-Jiménez, M.A., Chica-Llamas, J.D., Zapata-Márquez, J.I.: Additional files. Assessment of organizational policies in a retail store based on a simulation model (2020). https://ezproxy.cuc.edu.co:2067/10.6084/m9.figshare.14608113
Statgraphics Technologies Inc.: Statgraphics Centurion XVIII, statgraphics.com (2019)
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http://creativecommons.org/publicdomain/zero/1.0/
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eu_rights_str_mv embargoedAccess
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dc.publisher.none.fl_str_mv Springer International Publishing
publisher.none.fl_str_mv Springer International Publishing
dc.source.none.fl_str_mv Lecture Notes in Computer Science
https://www.springerprofessional.de/en/assessment-of-organizational-policies-in-a-retail-store-based-on/19669876
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spelling Assessment of organizational policies in a retail store based on a simulation modelCoronado-Hernandez, Jairo R.Macías-Jiménez, Mayra A.Chica-Llamas, Joned D.Zapata-Márquez, José I.Organizational policiesRetail industrySimulation modelExpress checkoutsCross-trained workersWeighing countersQueuing theoryThis paper evaluates three organizational policies in a retail store by a discrete simulation model in Simio®. The policies implemented were using one, two, or three express checkouts, cross-trained workers, and allocating one, two, or three weighing counters in the produce section (fruit and vegetables). These policies were evaluated during days with low, medium, and high demand over critical performance metrics such as the queue length, waiting time, active and idle time rate, the average time in the system, average service time, and sales. Our results demonstrated that all policies are beneficial for the studied system but in days with high demand. In days with low or medium demand, there were good improvements for some indicators, but this conflicted with others. As the simulation model was implemented to evaluate each policy independently, a future direction should include studying the performance simultaneously.Coronado-Hernandez, Jairo R.-will be generated-orcid-0000-0003-4360-6128-600Macías-Jiménez, Mayra A.-will be generated-orcid-0000-0002-2032-5529-600Chica-Llamas, Joned D.Zapata-Márquez, José I.Springer International Publishing2021-11-08T13:09:11Z2021-11-08T13:09:11Z2021-09-172022-09-17Artículo de revistahttp://purl.org/coar/resource_type/c_6501Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/version/c_ab4af688f83e57aaapplication/pdfapplication/pdf03029743https://hdl.handle.net/11323/884010.1007/978-3-030-84340-3_20Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Lecture Notes in Computer Sciencehttps://www.springerprofessional.de/en/assessment-of-organizational-policies-in-a-retail-store-based-on/19669876reponame:Repositorio REDICUCinstname:Corporación Universidad de la Costainstacron:Corporación Universidad de la CostaengAlkitbi, S.S., Alshurideh, M., Al Kurdi, B., Salloum, S.A.: Factors affect customer retention: a systematic review. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds.) AISI 2020. AISC, vol. 1261, pp. 656–667. Springer, Cham (2021). https://ezproxy.cuc.edu.co:2067/10.1007/978-3-030-58669-0_59Dahm, M., Wentzel, D., Herzog, W., Wiecek, A.: Breathing down your neck!: the impact of queues on customers using a retail service. J. Retail. 94, 217–230 (2018). https://ezproxy.cuc.edu.co:2067/10.1016/j.jretai.2018.04.002Penceliah, D.S., Noel, D.T., Adat, N.: Customer satisfaction within pharmacies in a supermarket: a South African perspective. Probl. Perspect. Manag. 13, 452–459 (2015)Zhang, Q.: Multi-agent based supermarket queuing model and optimization. Adv. Intell. Soft Comput. 129, 635–640 (2011). https://ezproxy.cuc.edu.co:2067/10.1007/978-3-642-25986-9_99Antczak, T., Weron, R., Zabawa, J.: Data-driven simulation modeling of the checkout process in supermarkets: insights for decision support in retail operations. IEEE Access 8, 228841–228852 (2020).Chai, C.-F.: Problem analysis and optimizing of setting service desks in supermarket based on M/M/C queuing system. In: Qi, E., Shen, J., Dou, R. (eds.) The 19th International Conference on Industrial Engineering and Engineering Management, pp. 833–841. Springer, Heidelberg (2013). https://ezproxy.cuc.edu.co:2067/10.1007/978-3-642-38391-5_88Pereira Junior, J.V., da Silva, A.M., de Moraes, D.G.: Discrete simulation applied to queue management in a supermarket. Indep. J. Manag. Prod. 11, 1667 (2020).Li, K., Pan, Y., Liu, B., Cheng, B.: The setting and optimization of quick queue with customer loss. J. Ind. Manag. Optim. 16, 1539–1553 (2020). https://ezproxy.cuc.edu.co:2067/10.3934/JIMO.2019016Mou, S., Robb, D.J.: Real-time labour allocation in grocery stores: a simulation-based approach. Decis. Support Syst. 124, 113095 (2019). https://ezproxy.cuc.edu.co:2067/10.1016/j.dss.2019.113095Luo, R., Shi, Y.: Analysis and optimization of supermarket operation mode based on queuing theory: queuing and pricing of personalized service. In: ACM International Conference Proceeding Series, pp. 221–224 (2020). https://ezproxy.cuc.edu.co:2067/10.1145/3380625.3380635Zhou, H., Chen, X., Wang, X., Wang, L.: Design of fruits and vegetables online inspection system based on vision. J. Phys. Confe. Ser. 1074, 012160 (2018). https://ezproxy.cuc.edu.co:2067/10.1088/1742-6596/1074/1/012160Kwak, J.K.: Analysis on the effect of express checkouts in retail stores. J. Appl. Bus. Res. 33, 765–772 (2017). https://ezproxy.cuc.edu.co:2067/10.19030/jabr.v33i4.9998Deck, C., Kimbrough, E.O., Mongrain, S.: Paying for express checkout: competition and price discrimination in multi-server queuing systems. PLoS ONE 9(3), e92070 (2014). https://ezproxy.cuc.edu.co:2067/10.1371/journal.pone.0092070Terekhov, D., Christopher Beck, J.: An extended queueing control model for facilities with front room and back room operations and mixed-skilled workers. Eur. J. Oper. Res. 198, 223–231 (2009). https://ezproxy.cuc.edu.co:2067/10.1016/j.ejor.2008.08.013Wang, J.: An optimal deterministic control policy of servers in front and back rooms with a variable number of switching points and switching costs. Sci. China Ser. F Inf. Sci. 52(7), 1113–1119 (2009). https://ezproxy.cuc.edu.co:2067/10.1007/s11432-009-0130-9Rengarajan, V., Vijay Anand, V., Vijayabanu, C., Thiyagarajan, S.: Customer perception on waiting time in super markets – an exploratory study using one way anova. Int. J. Sci. Technol. Res. 8, 2649–2659 (2019)Simio LLC: Simio 9.147 (2016)Chica Llamas, J.D., Zapata Márquez, J.I.: Modelo de simulación para la evaluación del impacto de las políticas de pesaje, personal polivalente y cajas rápidas en el rendimiento operacional de empresas minorista. Caso Megatiendas Express - Sector Prado (2012). http://biblioteca.utb.edu.co/notas/tesis/0063077.pdfCoronado-Hernández, J.R., Macías-Jiménez, M.A., Chica-Llamas, J.D., Zapata-Márquez, J.I.: Additional files. Assessment of organizational policies in a retail store based on a simulation model (2020). https://ezproxy.cuc.edu.co:2067/10.6084/m9.figshare.14608113Statgraphics Technologies Inc.: Statgraphics Centurion XVIII, statgraphics.com (2019)CC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cf2024-09-16T21:36:12Z
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