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...
- Autores:
-
Coronado-Hernandez, Jairo R.
Macías-Jiménez, Mayra A.
Chica-Llamas, Joned D.
Zapata-Márquez, José I.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8840
- Acceso en línea:
- https://hdl.handle.net/11323/8840
https://repositorio.cuc.edu.co/
- Palabra clave:
- Organizational policies
Retail industry
Simulation model
Express checkouts
Cross-trained workers
Weighing counters
Queuing theory
- Rights
- embargoedAccess
- License
- CC0 1.0 Universal
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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 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.fl_str_mv |
Coronado-Hernandez, Jairo R. Macías-Jiménez, Mayra A. Chica-Llamas, Joned D. Zapata-Márquez, José I. |
| dc.contributor.author.spa.fl_str_mv |
Coronado-Hernandez, Jairo R. Macías-Jiménez, Mayra A. Chica-Llamas, Joned D. Zapata-Márquez, José I. |
| dc.subject.spa.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. |
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2021 |
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2021-11-08T13:09:11Z |
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2021-11-08T13:09:11Z |
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2021-09-17 |
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2022-09-17 |
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Artículo de revista |
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03029743 |
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https://hdl.handle.net/11323/8840 |
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10.1007/978-3-030-84340-3_20 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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eng |
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eng |
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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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Coronado-Hernandez, Jairo R.Macías-Jiménez, Mayra A.Chica-Llamas, Joned D.Zapata-Márquez, José I.2021-11-08T13:09:11Z2021-11-08T13:09:11Z2021-09-172022-09-1703029743https://hdl.handle.net/11323/884010.1007/978-3-030-84340-3_20Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/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.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.application/pdfengSpringer International PublishingCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfLecture Notes in Computer Sciencehttps://www.springerprofessional.de/en/assessment-of-organizational-policies-in-a-retail-store-based-on/19669876Organizational policiesRetail industrySimulation modelExpress checkoutsCross-trained workersWeighing countersQueuing theoryAssessment of organizational policies in a retail store based on a simulation modelArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionAlkitbi, 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)PublicationORIGINALAssessment of Organizational Policies in a Retail Store Based on a Simulation Model.pdfAssessment of Organizational Policies in a Retail Store Based on a Simulation Model.pdfapplication/pdf8924https://repositorio.cuc.edu.co/bitstreams/90b52fe8-f0ba-45c0-9ac8-b5cba45155ab/downloada7d4e7daeb8b7f9d6b51b78e4c8ca98eMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/cc407108-8205-4672-ae25-a2639e69417d/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/920c4490-c6a1-419f-8054-b7f9f72c3b7b/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILAssessment of Organizational Policies in a 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