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IMPROVING DELIVERY SERVICE PERFORMANCE USING DISCRETE EVENT SIMULATION MODELING

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ARTICLE ANNOTATION

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The rapid growth of on-demand food delivery services has posed significant challenges in logistics optimization. This study focuses on a formerly leading food delivery company in Uzbekistan, which faced difficulties in meeting customer expectations due to high demand and inefficiencies in courier allocation. The research applied Discrete Event Simulation (DES) theory to analyze courier utilization, waiting times, and delivery performance. The model incorporated district-based clustering, queueing theory, stochastic simulation modeling, model validation and performance evaluation to evaluate various operational scenarios. Findings reveal that integrated models reduce delivery times by 1.6 times, enhance throughput, and provide actionable strategies for urban delivery optimization. The results contribute to both academic literature and managerial practice in emerging markets.

AUTHORS

N.Utkurova

Grand Pharm Trade

A.Djumanov

Pharmaceutical Technical University

Tags

# simulation modeling# имитационное моделирование# management science# discrete event simulation# prescriptive analytics# delivery service optimisation# e-business.# boshqaruv fani# simulyatsion modellashtirish# reseptiv analitika# e-biznes.# наука управления# предписывающая аналитика# электронный бизнес.

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References

Alalwan, A.A. (2020) ‘Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse’, International Journal of Information Management, 50, pp. 28–44. doi:10.1016/j.ijinfomgt.2019.04.008.

Al-Kanj, L., Nascimento, J. and Powell, W. (2020) ‘Approximate Dynamic Programming for Planning a Ride-Hailing System using Autonomous Fleets of Electric Vehicles’, European Journal of Operational Research, 284. doi:10.1016/j.ejor.2020.01.033.

Allen, J. et al. (2018) ‘Understanding the impact of e-commerce on last-mile light goods vehicle activity in urban areas: The case of London’, Transportation Research Part D: Transport and Environment, 61, pp. 325–338. doi:10.1016/j.trd.2017.07.020.

Banks, J. (ed.) (2010) Discrete-event system simulation. 5th ed., International version. Upper Saddle River, N.J. ; London: Pearson Education.

Chen, M. and Hu, M. (2020) ‘Courier Dispatch in On-Demand Delivery’, SSRN Electronic Journal [Preprint]. doi:10.2139/ssrn.3675063.

Collison, J. (2022) ‘The Impact of Online Food Delivery Services on Restaurant Sales’, p. 42.

Deloitte Touche Tohmatsu (2021) Last mile delivery after COVID-19: A world of things to solve, Deloitte. Available at: https://www2.deloitte.com/global/en/pages/about deloitte/articles/covid-19/last-mile-customer-delivery-after-covid-19.html

Gavilan, D. et al. (2021) ‘Innovation in online food delivery: Learnings from COVID-19’, International Journal of Gastronomy and Food Science, 24, p. 100330. doi:10.1016/j.ijgfs.2021.100330.

Gupta, T. and Paul, K. (2016) Consumer Attitude Towards Quick Service Restaurants: A Study Across Select Quick Service Restaurants In Gurgaon, IJAR - Indian Journal of Applied Research(IJAR), IJAR | World Wide Journals. Available at: https://www.worldwidejournals.com/indian-journal-of-applied-research-(IJAR)/article

Heavey, C. (2022) ‘Development of an Open-Source Discrete Event Simulation Cloud Enabled Platform’. Available at: https://www.academia.edu/21594206/ Development_of_an_Open_Source_Discrete_Event_Simulation_Cloud_Enabled_Platform

Alalwan, A.A. (2020) ‘Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse’, International Journal of Information Management, 50, pp. 28–44. doi:10.1016/j.ijinfomgt.2019.04.008.

Al-Kanj, L., Nascimento, J. and Powell, W. (2020) ‘Approximate Dynamic Programming for Planning a Ride-Hailing System using Autonomous Fleets of Electric Vehicles’, European Journal of Operational Research, 284. doi:10.1016/j.ejor.2020.01.033.

Allen, J. et al. (2018) ‘Understanding the impact of e-commerce on last-mile light goods vehicle activity in urban areas: The case of London’, Transportation Research Part D: Transport and Environment, 61, pp. 325–338. doi:10.1016/j.trd.2017.07.020.

Banks, J. (ed.) (2010) Discrete-event system simulation. 5th ed., International version. Upper Saddle River, N.J. ; London: Pearson Education.

Chen, M. and Hu, M. (2020) ‘Courier Dispatch in On-Demand Delivery’, SSRN Electronic Journal [Preprint]. doi:10.2139/ssrn.3675063.

Collison, J. (2022) ‘The Impact of Online Food Delivery Services on Restaurant Sales’, p. 42.

Deloitte Touche Tohmatsu (2021) Last mile delivery after COVID-19: A world of things to solve, Deloitte. Available at: https://www2.deloitte.com/global/en/pages/about deloitte/articles/covid-19/last-mile-customer-delivery-after-covid-19.html

Gavilan, D. et al. (2021) ‘Innovation in online food delivery: Learnings from COVID-19’, International Journal of Gastronomy and Food Science, 24, p. 100330. doi:10.1016/j.ijgfs.2021.100330.

Gupta, T. and Paul, K. (2016) Consumer Attitude Towards Quick Service Restaurants: A Study Across Select Quick Service Restaurants In Gurgaon, IJAR - Indian Journal of Applied Research(IJAR), IJAR | World Wide Journals. Available at: https://www.worldwidejournals.com/indian-journal-of-applied-research-(IJAR)/article

Heavey, C. (2022) ‘Development of an Open-Source Discrete Event Simulation Cloud Enabled Platform’. Available at: https://www.academia.edu/21594206/ Development_of_an_Open_Source_Discrete_Event_Simulation_Cloud_Enabled_Platform