Abstract
The fast food industry, specifically the service department, has experienced sustainable economic growth and has evolved in the application of substantial methods, however, it has presented a slowdown due to deficient operation level provided in the customer service area. A large number of customers do not make the purchase owing to a series of unmet trends that face the consumer behaviour which leads to significant economic losses and inefficient service. They have therefore focused their efforts on finding impulse mechanisms through allowing them to migrate to less costly processes and/or to achieve better utilisation of available resources without success. This research inquires into the effectiveness of the Lean Thinking Simulation (LTS) model, which consists in the development of a set of methodological phases and the adaptation of the technological support termed as Digital Change to improve the performance of customer service in Peruvian fast food. The main result of this practical study was defined by a Dashboard in real-time, and as a first approximation of the model, a 17.03% improvement can be shown in the performance of customer service on the fast food selected.
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References
De Vries, J.: Worth the wait? How restaurant waiting time influences customer behavior and revenue. J. Oper. Manag. (2018). https://doi.org/10.1016/j.jom.2018.05.001
He, H., Hu, Z.: Analysis of fast food service capability based on flexsim modeling and simulation. IOP Conf. Ser. Mater. Sci. Eng. https://www.doi.org/10.1088/1757-899X/394/5/052005
Koide, T., Kobayashi, T., Kikuda, M.: A multi-agent simulation study for congestion minigation in a university campus restaurant. Trans. Eng. Technol. (2019). https://doi.org/10.1007/978-981-13-2191-7_8
Singh, J., Singh, H., Singh, D., Singh, K.: Evaluating lean thinking using value stream mapping in manufacturing industry—a case study. Int. J. Prod. Qual. Manag. 22(1), 101–116 (2017). https://doi.org/10.1504/IJPQM.2017.085849
Li, G., Field, J.M., Davis, M.M.: Designing lean processes with improved service quality: an application in financial services. Qual. Manag. J. 24(1), 6–19 (2017). https://doi.org/10.1080/10686967.2017.11918497
Vadhvani, M.D., Bhatt, M.G.: Application of lean principles in indian service sector: exploratory analysis. Productivity 58(3), 331–339 (2017)
Wijnhoven, F., Beckers, D., Amrit, C.: Reducing waste in administrative services with lean principles. In: Thirty Seventh International Conference on Information Systems (2016)
Amaro, P., Alves, A.C., Sousa, R.M.: Lean thinking: a transversal and global management philosophy to achieve sustainability benefits. Lean Eng. Glob. Dev. 1–31 (2019). https://doi.org/10.1007/978-3-030-13515-7_1
Baag, P.K., Kavitha, P., Sarkar, A.: Application of lean tool for process improvement of bank branches. IIM Kozhikode Soc. Manag. Rev. 8(2), 131–142 (2019). https://doi.org/10.1177/2277975219836502
Martins, A.F., Alves, A.C., Leão, C.P.: Development and implementation of dashboards for operational monitoring using participatory design in a lean context. Adv. Intell. Syst. Comput. 621 (2018). https://doi.org/10.1007/978-3-319-61121-1_21
Mohammad, A.: Approaching the adoption of lean thinking principles in food operations in hotels in Egypt. Tourism Rev. Int. 21(4), 365–378 (2017). https://doi.org/10.3727/154427217X15094520591349
Ghiyasinasab, M., Lehoux, N., Ménard, S., Cloutier, C.: Using lean techniques and simulation to improve the efficiency of engineered wood production: a case study in a small factory. Ind. Eng. Manag. 7(269) (2018)
Greasley, A., Smith, C.M. Using activity-based costing and simulation to reduce cost at a police communications centre. Policing Int. J. Police Strat. Manag. 40(2), 426–441 (2017). https://doi.org/10.1108/PIJPSM-03-2016-0044
Nguyen, Q., Nisar, T.M., Knox, D., Praka, G.: Understanding customer satisfaction in the UK quick service restaurant industry: the influence of the tangible attributes of perceived service quality. Br. Food J. (2018). https://doi.org/10.1108/BFJ-08-2017-0449
Singh, J., Singh, H., Singh, A., Singh, J.: Managing industrial operations by lean thinking using value stream mapping and six sigma in manufacturing unit: case studies. Manag. Decis. (2019). https://doi.org/10.1108/MD-04-2017-0332
Tamás, P., Illés, B.: Examining the integration possibilities for lean tools and simulation modeling. Solid State Phenom. 261, 516–522 (2017). https://doi.org/10.4028/www.scientific.net/SSP.261.516
Lunsford, D., Phillips, P.: Tools used by organizations to support human capital analytics. Perform. Improv. 57(3), 6–15 (2018). https://doi.org/10.1002/pfi.21767
McDonald, K., Fisher, S., Connelly, C.E.: e-HRM systems in support of smart workforce management: an exploratory case study of system success. Electron. HRM Smart Era, 87–108 (2017). https://doi.org/10.1108/978-1-78714-315-920161004
Poschadel, F.: SAP S/4HANA: performance management in real time? In: Buttkus, E.M., Eberenz, R. (eds.) Performance Management in Retail and the Consumer Goods Industry. pp. 137–151 (2019). https://doi.org/10.1007/978-3-030-12730-5_9
Ziebell, R.C., Albors-Garrigos, J., Schoeneberg, K.P., Marin, M.P.: Adoption and success of e-HRM in a cloud computing environment. Int. J. Cloud Appl. Comput. 9(2), 1–27 (2019). https://www.doi.org/10.4018/IJCAC.2019040101
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Sandoval, D., Palomares, M., Rojas, J., Mendoza, P., Raymundo, C. (2021). Lean Thinking Simulation Model to Improve the Service Performance in Fast Food. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Fifth International Congress on Information and Communication Technology. ICICT 2020. Advances in Intelligent Systems and Computing, vol 1183. Springer, Singapore. https://doi.org/10.1007/978-981-15-5856-6_34
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