Many catering people think that the scheduling can be solved by the manager 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, variable working hours, and the corresponding working hours guide table arrangement, shift record table and shift schedule, etc. The scheduling procedure is very detailed, involving different work needs and specific positions of employees. Managers of catering stores need to make shift plans according to the proficiency of employees, the restaurant's dynamic line and the structure of dishes, combined with the actual hourly transaction data, especially the variable working hours shift, and need to adjust the plans periodically. For example, chain catering enterprises suggest that the PTC of each store will reach 5.5~6.5, and it will 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 the system to track and analyze the stored labor working hours data of catering enterprises, predicts the scheduling demand, and accurately arranges the manpower demand through systematic actuarial algorithm according to the business situation of stores and the peak and low periods of passenger flow.
after collecting the working hours data and other related information of these enterprises, Red Sea Cloud intelligent scheduling software will automatically process them on the system:
Working hours data processing: collecting and processing a large number of working hours data, including fixed working hours, variable working hours, historical working hours, skill level and other data of employees, combining with business data and external data, establishing a model based on historical data for data analysis, realizing business and working hours prediction, and giving intelligent scheduling prediction and suggestions.
intelligent marking scheduling: based on intelligent algorithm, the system can forecast the turnover of stores and the number of visitors in each session by combining historical business data. According to the store's human efficiency standard, the system automatically calculates the theoretical number of people and the range of available working hours, and intelligently generates the crossed scheduling results by combining the information such as post employment demand and false attendance. Through the pre-scheduling process management, the store manager can pre-schedule within this standard range according to the scheduling results. Scheduling hours can be accurate to 1.5 hours.
working hours compliance management: 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, it meets the carry-over scenarios such as shift working hours carry-over, overtime working hours carry-over, rest working hours carry-over and accumulated leave (saving, borrowing and taking off).