Analytics for labor planning in systems with load-dependent service times

Smirnov, Dmitry; Huchzermeier, Arnd

doi:10.1016/j.ejor.2020.04.036

Cited by 8 publications

(4 citation statements)

References 41 publications

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“…Asimismo, como indican diversos estudios (Ebadi & Ahmadi, 2020;Smirnov & Huchzermeier, 2020) las herramientas como la simulación de sistemas de colas tienen un uso tanto general como particular en el emprendimiento de la comida rápida. En donde tiene un impacto de tomar las decisiones correctas para aumentar la rentabilidad mediante una gestión eficaz de las colas, es esencial reducir los tiempos de espera disponiendo de suficientes camareros y mesas.…”

Section: Antecedentes De Sistemas De Colasunclassified

Simulación de Sistemas de Colas para Optimizar el Servicio al Cliente en el Sector de Restaurantes.

Vilchez Solano,

Vilchez Solano

2023

ICTI

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Esta investigación tuvo como objetivo examinar investigaciones sobre simulación de sistemas de colas para optimizar el del servicio al cliente en el sector restaurantes. La metodología de estudio es tipo descriptivo, con un análisis deductivo para revisión bibliográfica. Por otro lado, a través de la metodología PRISMA se examinaron 393 estudios en las cuatro bases de datos como Scopus, Web of Sciencie, EBSCO, Gale Ebooks, Springer Link. Los resultados muestran sobre el análisis de la simulación de sistemas de colas para la mejora del servicio en sector de restaurantes de acuerdo con el objetivo propuesto y las preguntas bibliométricas dentro de periodo de últimos años en el 2022 se publicaron más artículos científicos a diferencia de otros años. Por otro lado, The International Journal of Advanced Manufacturing es una de las revistas que tiene 19 publicaciones sobre el tema. Asimismo, los países con más publicaciones son los siguientes con el 19% China, 17% de Estados Unidos y 5% Canadá. En conclusión, la revisión sistemática sobre la simulación de sistemas de colas en las empresas que brindan el servicio al cliente tiene beneficios con el fin direccionar un restaurante a comprender el problema en un entorno práctico y de esta manera tomar decisiones de capacidad de recursos que se requiere para lograr mejoras en calidad del servicio al cliente.

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Section: Antecedentes De Sistemas De Colasunclassified

Simulación de Sistemas de Colas para Optimizar el Servicio al Cliente en el Sector de Restaurantes.

Vilchez Solano,

Vilchez Solano

2023

ICTI

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“…Similarly, Hueter and Swart (1998) discuss uses of customer arrival forecasting, labor simulation, and crew optimization at Taco Bell. Other researchers examine how analysis of worker knowledge and performance data can improve staffing efficiency (He et al., 2019; Kawaguchi, 2020; Smirnov & Huchzermeier, 2020), labor assignment, scheduling, and scaling (Kamalahmadi et al., 2021; Tan & Netessine, 2019; Tan & Staats, 2020).…”

Section: Background and Framingmentioning

confidence: 99%

“…Further, researchers suggest ways in which data‐based predictions of customer arrival and service time (such as Hu et al., 2021) can help food service providers manage customer flows (e.g., reservation or queue) to simultaneously improve customer experience and profits (De Vries et al., 2018; Dhingra et al., 2018). In particular, Smirnov and Huchzermeier (2020) propose a hybrid model that integrates a traditional time‐series technique with machine learning to make combined predictions for customer arrivals, service time, and staffing requirements. Similarly, Hueter and Swart (1998) discuss uses of customer arrival forecasting, labor simulation, and crew optimization at Taco Bell.…”

Section: Background and Framingmentioning

confidence: 99%

Analytics applications, limitations, and opportunities in restaurant supply chains

Swink

Zhao

2022

Production and Operations Management

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Technology, market, and competitive dynamics are requiring firms in restaurant/food service supply chains to improve their analytics capabilities, which have tended to lag behind other comparable industries. The global COVID‐19 pandemic has further encouraged industrial leaders to evaluate new challenges and opportunities. Our research provides insights into current applications of analytics technologies and organizationally integrates these insights for decision‐makers in restaurant supply chains. The study applies decision theory as a framing perspective to this phenomenon, thereby advancing the academic literature on the interface between data management, analytical techniques, and computing. We combine data drawn from interviews of leading players in U.S. and Chinese‐based restaurant chains with insights from trade publications and social media posts to identify best practices for analytics usage and supporting organizational changes. Our analysis provides examples of ways in which business leaders are applying analytics technologies to structured and unstructured data to address targeted objectives for demand/supply processes and to foster higher order organizational learning. In keeping with the stated objectives of this special issue of Production and Operations Management, this study provides an overview of both current state‐of‐the‐art and next‐generation capabilities for analytics in the restaurant industry. We further identify specific limitations of current processes, opportunities for development and theory‐based research, and challenges to implementation.

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“…From the perspective of restaurant staff behavior, queues and the associated workload have emerged as relevant predictors as well. For instance, Tan and Netessine (2014) show how workload affects server performance, and Smirnov and Huchzermeier (2020) demonstrate the impact of the load‐dependent service efforts on labor planning.…”

Section: Data‐driven Restaurant Research Opportunitiesmentioning

confidence: 99%

Restaurant analytics: Emerging practice and research opportunities

Roy

Spiliotopoulou

Vries

2022

Production and Operations Management

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Smart technologies and increased data availability enable restaurateurs to gather more information about customers and their behavior. These data can be combined with data from other sources to make a wide range of strategic and operational restaurant decisions, and can therefore generate tremendous value for restaurants and their customers. This study focuses on discussing the most promising research opportunities in restaurant operations that leverage data analytics. In particular, we focus on specific research questions across restaurant decision domains such as location, reservation and table management, queue management, menu design and engineering, and multichannel order management. For each research question, we motivate its practical and theoretical relevance, identify data sources, propose a methodological approach for analysis, and discuss actionable insights for practitioners. As a result, this paper aims to highlight data analytics opportunities for restaurateurs and inspire researchers to contribute in this domain.

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Analytics for labor planning in systems with load-dependent service times

Cited by 8 publications

References 41 publications

Simulación de Sistemas de Colas para Optimizar el Servicio al Cliente en el Sector de Restaurantes.

Simulación de Sistemas de Colas para Optimizar el Servicio al Cliente en el Sector de Restaurantes.

Analytics applications, limitations, and opportunities in restaurant supply chains

Restaurant analytics: Emerging practice and research opportunities

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