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-Hernández, Jairo R.
Macías-Jiménez, Mayra A
Chica-Llamas, Joned D.
Zapata-Márquez, José I.
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12292
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12292
https://doi.org/10.1007/978-3-030-84340-3_20
- Palabra clave:
- Information Retrieval;
AS/RS;
Warehouses
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Assessment of Organizational Policies in a Retail Store Based on a Simulation Model |
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Assessment of Organizational Policies in a Retail Store Based on a Simulation Model |
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Assessment of Organizational Policies in a Retail Store Based on a Simulation Model Information Retrieval; AS/RS; Warehouses LEMB |
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Assessment of Organizational Policies in a Retail Store Based on a Simulation Model |
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Assessment of Organizational Policies in a Retail Store Based on a Simulation Model |
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Assessment of Organizational Policies in a Retail Store Based on a Simulation Model |
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Assessment of Organizational Policies in a Retail Store Based on a Simulation Model |
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Assessment of Organizational Policies in a Retail Store Based on a Simulation Model |
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Coronado-Hernández, Jairo R. Macías-Jiménez, Mayra A Chica-Llamas, Joned D. Zapata-Márquez, José I. |
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Coronado-Hernández, Jairo R. Macías-Jiménez, Mayra A Chica-Llamas, Joned D. Zapata-Márquez, José I. |
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Information Retrieval; AS/RS; Warehouses |
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Information Retrieval; AS/RS; Warehouses LEMB |
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LEMB |
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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. © 2021, Springer Nature Switzerland AG. |
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2021 |
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2021 |
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2023-07-21T15:50:40Z |
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2023-07-21T15:50:40Z |
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2023 |
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Coronado-Hernández, J.R., Macías-Jiménez, M.A., Chica-Llamas, J.D., Zapata-Márquez, J.I. (2021). Assessment of Organizational Policies in a Retail Store Based on a Simulation Model. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2021. Lecture Notes in Computer Science(), vol 12883. Springer, Cham. https://doi.org/10.1007/978-3-030-84340-3_20 |
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https://hdl.handle.net/20.500.12585/12292 |
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https://doi.org/10.1007/978-3-030-84340-3_20 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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Coronado-Hernández, J.R., Macías-Jiménez, M.A., Chica-Llamas, J.D., Zapata-Márquez, J.I. (2021). Assessment of Organizational Policies in a Retail Store Based on a Simulation Model. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2021. Lecture Notes in Computer Science(), vol 12883. Springer, Cham. https://doi.org/10.1007/978-3-030-84340-3_20 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/12292 https://doi.org/10.1007/978-3-030-84340-3_20 |
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eng |
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13 páginas |
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Cartagena de Indias |
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Lecture Notes in Computer Science(), vol 12883. Springer, Cham. |
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Coronado-Hernández, Jairo R.86b71d5d-cfcc-464b-9792-545bb0afd5a5Macías-Jiménez, Mayra A0ad88c09-2f77-4b88-9534-631a595915f2Chica-Llamas, Joned D.88f4f72b-aea5-48e6-838a-86f40350e445Zapata-Márquez, José I.a6c0c2a3-5c56-4a18-83b3-34a5f78d64582023-07-21T15:50:40Z2023-07-21T15:50:40Z20212023Coronado-Hernández, J.R., Macías-Jiménez, M.A., Chica-Llamas, J.D., Zapata-Márquez, J.I. (2021). Assessment of Organizational Policies in a Retail Store Based on a Simulation Model. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2021. Lecture Notes in Computer Science(), vol 12883. Springer, Cham. https://doi.org/10.1007/978-3-030-84340-3_20https://hdl.handle.net/20.500.12585/12292https://doi.org/10.1007/978-3-030-84340-3_20Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis 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. © 2021, Springer Nature Switzerland AG.13 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Lecture Notes in Computer Science(), vol 12883. Springer, Cham.Assessment of Organizational Policies in a Retail Store Based on a Simulation Modelinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Information Retrieval;AS/RS;WarehousesLEMBCartagena de IndiasAlkitbi, 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://doi.org/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 (2018) Journal of Retailing, 94 (2), pp. 217-230. Cited 15 times. http://www.elsevier.com/locate/jretai doi: 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 (2015) Problems and Perspectives in Management, 13 (2), pp. 452-459. https://businessperspectives.org/journals/problems-and-perspectives-in-management?category_id=30Zhang, Q. Multi-agent based supermarket queuing model and optimization (2011) Advances in Intelligent and Soft Computing, 129, pp. 635-640. Cited 2 times. ISBN: 978-364225985-2 doi: 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 (2020) IEEE Access. Cited 6 times. http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639 doi: 10.1109/ACCESS.2020.3045919Chai, C.-F. Problem analysis and optimizing of setting service desks in supermarket based on M/M/C queuing system (2013) 19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering, pp. 833-841. Cited 3 times. ISBN: 978-364238390-8 doi: 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 (2020) Indep. J. Manag. Prod., 11, p. 1667. https://doi.org/10. 14807/ijmp.v11i5.1296Li, K., Pan, Y., Liu, B., Cheng, B. The setting and optimization of quick queue with customer loss (2020) Journal of Industrial and Management Optimization, 16 (3), pp. 1539-1553. Cited 2 times. http://www.aimsciences.org/article/exportPdf doi: 10.3934/JIMO.2019016Mou, S., Robb, D.J. Real-Time Labour Allocation in grocery stores: A simulation-based approach (Open Access) (2019) Decision Support Systems, 124, art. no. 113095. Cited 8 times. https://www.journals.elsevier.com/decision-support-systems doi: 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 (2020) ACM International Conference Proceeding Series, pp. 221-224. Cited 4 times. http://portal.acm.org/ ISBN: 978-145037641-9 doi: 10.1145/3380625.3380635Zhou, H., Chen, X., Wang, X., Wang, L. Design of fruits and vegetables online inspection system based on vision (Open Access) (2018) Journal of Physics: Conference Series, 1074 (1), art. no. 012160. Cited 3 times. http://iopscience.iop.org/journal/1742-6596 doi: 10.1088/1742-6596/1074/1/012160Kwak, J.K. Analysis on the effect of express checkouts in retail stores (Open Access) (2017) Journal of Applied Business Research, 33 (4), pp. 765-772. Cited 2 times. https://www.cluteinstitute.com/ojs/index.php/JABR/article/download/9998/10099 doi: 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://doi. org/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 (2009) European Journal of Operational Research, 198 (1), pp. 223-231. Cited 19 times. doi: 10.1016/j.ejor.2008.08.013Wang, J.M. An optimal deterministic control policy of servers in front and back rooms with a variable number of switching points and switching costs (2009) Science in China, Series F: Information Sciences, 52 (7), pp. 1113-1119. Cited 6 times. doi: 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 (2019) International Journal of Scientific and Technology Research, 8 (10), pp. 2649-2659. http://www.ijstr.org/final-print/oct2019/Customer-Perception-On-Waiting-Time-In-Super-Markets-An-Exploratory-Study-Using-One-Way-Anova.pdf(2016) Simio LLC: Simio 9, 147.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 (2012) Caso Megatiendas Express-Sector Prado http://biblioteca.utb.edu.co/notas/tesis/0063077.pdfCoronado-Hernández, J.R., Macías-Jiménez, M.A., Chica-Llamas, J.D., Zapata-Márquez, J.I. (2020) Additional Files. 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