Hotel Process Simulator

Poulová, Petra; Černá, Miloslava; Hamtilova, Jana; Malý, Filip; Kozel, Tomáš; Kriz, Pavel; Hán, Jan; Ulrych, Zdeněk

doi:10.1007/978-3-030-21562-0_11

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…The current modernization is being taken out of cities and the implementation of the digital economy is resulting in smart plants, companies and organizations which are using completely computer aided manufacturing [28]. On the other hand, some methods which had P. Hořejší et al: Smart Factory in a Smart City been used previously only in the industrial sector are being applied in smart cities, such as study [29], where discrete event simulation was used to create designs for smart hotels.…”

Section: The Technological Breakthrough Enabled By the Vision Of The mentioning

confidence: 99%

A Smart Factory in a Smart City: Virtual and Augmented Reality in a Smart Assembly Line

2020

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Increasingly, the smart city space is requiring a reconceptualization of forms and factors of production, including factories and their place in the smart city space. Factories have always been a part of the city and many people spend a significant part of their lives there. Cities and factories share the same physical space and draw from the same resources, such as the energy grid, communication networks, public utilities, social connections, etc. Factories and cities should share the same IoT network in order to maximize their synergy level. In this view, as ICT-enhanced solutions are being implemented and so the concept of the smart city becomes a reality, it is mandatory that the connection between the smart city and the smart factory is examined. This paper represents the first step in this direction. We are presenting a new smart way to lighten the workload for employees (especially those involved in assembly, setup and maintenance) and increase factory efficiency. We have developed a brand-new smart solution for designing and presenting work instructions. The solution can be easily adapted to use in other fields like healthcare or smart-homes. This paper presents a comparison of different types of virtual/augmented and conventional assembly instructions. Today, we face the challenge of a lack of skilled employees and a high rate of employee turnover. Both result in huge time and production losses, because new employees have to be taught simple assembly tasks over and over again. In addition, as companies begin hiring many more foreign workers who do not understand the local language, the challenge of teaching becomes even more acute. Despite this, in modern production systems we can still find ineffective and complicated books and manuals with assembly, service and measurement instructions. We have prepared several variants for non-trivial multistep assembly instructions: traditional ''paper'' instructions, video instructions, virtual instructions on screen (with/without in-situ projection and with/without a special controller). We have developed our own software system for working with and developing virtual assembly instructions. In this case the in-situ augmentation is a projection on to different parts of the workplace. 60 subjects were tested over two years in order to gather the learning curve for each of 5 types of instructions using virtual and augmented reality. We have proven that using any type other than ''paper'' will shorten the learning time by approximately half. Practitioner summary: We have prepared and tested variants for non-trivial multi-step assembly instructions. 60 subjects were tested over two years in order to gather the learning curve for all 5 types of instructions-traditional paper, video instructions, virtual instructions and two types of virtual instructions combined with augmented reality in-situ projection. We have proven that using any type other than ''paper'' will shorten the learning time by approximately half. INDEX TERMS Assembly instructions, augmented reality (AR), ...

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Section: The Technological Breakthrough Enabled By the Vision Of The mentioning

confidence: 99%

A Smart Factory in a Smart City: Virtual and Augmented Reality in a Smart Assembly Line

2020

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“…Contrary to the call for a high level of external validity, the practitioners are always focusing on the specific market segments and their sub-segments, where the general knowledge might be biased or unspecific. The results can be as well used within the revenue management optimisation models that, in most cases, do not reflect the dynamic behaviour of the online leisure demand, or for example, hotel revenue management education based on the simulations (Mariello et al, 2020; Poulova et al, 2019). The knowledge of price elasticity is one of the key determinants for revenue management in general.…”

Section: Discussionmentioning

confidence: 99%

Understanding customer's online booking intentions using hotel big data analysis

Chalupa

Petříček

2022

Journal of Vacation Marketing

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The presented article focuses on the issue of customer segmentation in the hospitality industry and its use for price optimisation. To identify the market segments article uses the Two-Step cluster analysis. The analysis was based on the seven variables (length of stay, average room rate, distribution channel, reservation day, day of arrival, lead time and payment conditions). Six clusters were identified as following segments: Corporates, Early Bird Bookers, Last Minute Bookers, Product Seekers, Values Seekers and Last Minute Bookers. To optimise the price for these segments, article works with the coefficient of price elasticity of demand for the presented market segments. The price elasticity of demand is measured by the log-log regression analysis. Data were colected from the four-star hotel in Prague, Czech Republic and analysis is based on more than 9000 transactions. Last minute bookers segment was the only one with the positive coefficient of price elasticity and has the lowest value of lead time (9,27 in average). Product seekers have the highest coefficient of price elasticity (−3,413) and highest average room rate (3573 CZK in average). Early bird bookers, Long time stayers, Corporates and Value seekers was identified as pricely inelastic.

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“…Han, Lustigova & Chalupa [22] are focusing on the simulation of resort gastronomy stand operations with a primary focus on the work environment redesign to assure higher customer satisfaction and revenue maximization through queue reduction and distribution. Poulova et al [23] recently developed the hotel process simulator, which can be used as an analytical tool for hoteliers as well as the training and supporting educational tool at hospitality-focused universities. The standalone simulator is mainly focused on revenue management and profitability optimization.…”

Section: Literature Reviewmentioning

confidence: 99%

The Use of Business Process Management in Hotel Direct Sales Improvement

Chalupa¹,

Petříček²,

Ulrych³

2021

TEM Journal

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This article deals with Business Process Modelling and Reengineering use in the hospitality industry, focusing on the improvement of direct telephone sales by application of the CRM system. After modelling the current state of the selected process using ARIS methodology, the same process was remodelled for the application of the CRM system. This application shortened the whole process (mainly the number of activities needed to prosecute) and allowed the front-office employee to be more clients oriented. The automation of labour-intensive processes can reduce the number of human-caused errors and improve the convertibility and reservation request and their overall value.

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Hotel Process Simulator

Cited by 3 publications

References 6 publications

A Smart Factory in a Smart City: Virtual and Augmented Reality in a Smart Assembly Line

A Smart Factory in a Smart City: Virtual and Augmented Reality in a Smart Assembly Line

Understanding customer's online booking intentions using hotel big data analysis

The Use of Business Process Management in Hotel Direct Sales Improvement

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