Many catering people think that the scheduling can be solved by the managers of each store, but in fact, the scheduling system of chain catering enterprises is very strict and meticulous when they realize lean chemical industry, involving fixed working hours and variable working hours, as well as the corresponding working hours guidance table arrangement, handover record table and scheduling table. The scheduling procedure is very detailed, involving employees' different work needs and specific positions. Managers of food and beverage outlets need to make shift plans according to the proficiency of employees, the dynamic line of restaurants, the structure of dishes, and the actual hourly transaction data, especially the shifts with variable working hours, and need to adjust the plans regularly. For example, chain catering enterprises suggest that the PTC of each store should reach 5.5~6.5 and be adjusted once a month.

What human resource management system does the catering industry generally use? Taking Red Sea Cloud Intelligent Scheduling Software as an example, this paper uses this system to track and analyze the man-hour data stored by catering enterprises, predict the scheduling demand, and accurately arrange the manpower demand through systematic actuarial algorithm according to the operation situation of stores and the peak and low periods of passenger flow.

Red Sea Cloud Intelligent Scheduling Software will automatically process the working hours data and other related information of these enterprises on the system:

Man-hour data processing: Collect and process a large amount of man-hour data, including fixed man-hour, variable man-hour, historical man-hour and employee skill level, combine business data and external data, establish a model based on historical data for data analysis, realize business and man-hour prediction, and give intelligent scheduling prediction and suggestions.

Intelligent marking and scheduling: The system predicts the turnover of the store and the number of visitors during the period based on intelligent algorithm and historical business data. According to the store's human efficiency standard, the system automatically calculates the theoretical number of people and the available working hours range, and intelligently generates cross-scheduling results by combining the information such as job demand and fake attendance. Through pre-scheduling process management, the store manager can pre-schedule according to the scheduling results within this standard range. Scheduling hours can be accurate to 0.5 hours.

Compliance management of working hours: The scheduling engine supports compliance control of various working hours systems, such as standard working hours system, comprehensive working hours system and irregular working hours system, and can take into account legal compliance rules, company compliance rules and subjective/objective factors of employees to check the rationality of scheduling. At the same time, carry-forward scenarios such as shift work carry-forward, overtime work carry-forward, rest work carry-forward and accumulated leave (deposit, loan and rest) are met.