Research On Hotel Service Robot Scheduling Problem Based On Multi-objective Algorithm

With the continuous improvement of people’s living standards in recent years,the hotel industry has achieved rapid development and gradually become one of the main driving forces for the sustainable development of the tourism industry.However,while the hotel industry is promoting the rapid development of the tourism industry,it is also facing high labor costs,labor shortages,and high employee turnover rates,which have led to the emergence of problems such as poor customer experience and high operating costs in hotels.At the same time,in the context of the post pandemic era,customers’ tourism and accommodation behaviors are gradually tending to evaluate the safety of their destinations,and they are more inclined to choose contactless room service in hotels.Therefore,more and more hotels are starting to use service robots to help hotels improve customer accommodation experience and satisfaction,reduce hotel human resources and operating costs,and alleviate customer concerns about various epidemics.However,when hotels provide contactless robot services,they need to make choices among a large number of scheduling plans and comprehensively evaluate factors such as cost and customer satisfaction,often placing higher demands on hotel managers.If the academic community can strengthen research on the scheduling problem of hotel service robots,especially by returning to customer experience itself,focusing on customer satisfaction with using service robots,and providing more personalized and reasonable scheduling plans for hotels based on differences in hotel types,it will help hotels gain greater advantages in actual business operations.Therefore,this thesis investigates the problem of dispatching hotel service robots with the help of digital as well as information-based computer technology.At the same time,in order to solve the problem of ignoring customer satisfaction and the inability to achieve simultaneous allocation of the number of service robots and individual service robot tasks during the research of other hotel service robot scheduling problems,a three-stage hybrid heuristic algorithm based on Pareto theory is designed in this study.In the first stage of initialisation,a two-stage coding form and the construction of a primitive solution set are proposed;In the second stage of hybrid evolution,an innovative combination of genetic algorithm and difference algorithm is used to achieve the purpose of improving the efficiency and effectiveness of the algorithm;In the third stage of Pareto ranking,a faster and more effective Pareto theory is used to deal with the ranking of multi-objective algorithm solutions,which is achieved.The continuous updating of the optimal solution set is achieved.Finally,a case study of a four-star hotel is conducted to verify the effectiveness of the algorithm proposed in this study.Through the results of the case study and comparison with other multi-objective algorithms,the IDG numerical results show that the algorithm designed in this paper is significantly better than existing methods in solving the hotel service robot scheduling problem.The results also show that the algorithm proposed in this paper can provide a more personalised and reasonable scheduling solution for hotels,which is more beneficial to the operation and management of hotel managers.