Optimization Of The Service System For Charge In Hypermarket

In people's daily life,the supermarket becomes an indispensable baby,People appreciate convenient service of the supermarket but more and more people distressed long team before the cashier. The rhythm of modern time is being faster and faster, most people cannot endure a long waiting. In order to reduce the customers waiting time, we need to open more register number, although it reduces customers waiting time, but it also causes more free cashier, wasting the resources of the supermarket, increasing the unnecessary operating costs. Therefore, it is time to seek a method which can not only minimize the customers waiting time but also make the operation cost minimum.Based on a large amount of literatures, he author decided to use queuing theory and multi-service window waiting queuing system to study this problem. Queuing theory is a theory to study the queuing phenomenon and applied science. It is a science to study the crowded phenomenon which is due to the influence of random factors. It was also known as stochastic service system, and it also can be called the mathematical method for the utility. It is an important branch of operations. The phenomenon that appears crowded field can use queuing theory.This paper has four chapters. The first chapter is a preface, describing the background and significance of the topic, reviewing the research status of a literature, in the final of the first chapter, expounds the main content and organization structure. Queuing phenomenon is more and more serious in the supermarket, which has become the main influence factors affecting the customer's satisfaction, so it has to do some reach in order to get a reasonable solution to this problem. Many scholars have conducted studies for the problems, the main methods are cost optimization model and simulation technology research and study line algorithm. These methods have their own advantages, but also have many defects. It is difficult to measure the actual cost of customers waiting, because different people's waiting cost are not the same, and even the same person the cost of its loss is not the same at different times. Therefore, it is not feasible. The design quality of the simulation model makes a great influence on the simulation results, and the different testing methods and skills in programming makes the results often deviated from the real application environment. Queuing theory is an important branch of the operations research, it has been widely used in many fields in actual life, and also some people apply the queuing theory to the service system for change in hypermarket. However, it would not provide the reliable information for the managers due to the lack of data collection and scientific analysis.The second chapter of this article is the relevant theoretical knowledge. In this chapter introduces the relevant theoretical knowledge of queuing theory. Mainly includes the outline of queuing theory and its research contents, the components of queuing system, the symbolic representation and classification of queuing model, the key indicators and optimization of queuing system and so on.The third chapter of this article is the design of charge service in supermarket and data acquisition. This chapter first formulate the outline of data survey, and then illustrate the time of the survey data, where and how to collect the data, and the content of survey. Based on this designed the form of data survey, meanwhile base on the purpose of research designed the ordering form. Designed the situation of customer's arrival tables, customer service time tables and the appropriate order forms. These forms are designed to avoid the blindness in the investigation process. So that we understand the content and focus of the investigation and ensure the smooth progress of the investigation. Second we carry out the data survey. In data acquisition time we take three person as a work team to ducted a field survey of large supermarket in Changchun. By the close cooperation and hard work of all members of the investigation team, we finalize the investigation of all relevant data collection work after nearly three months. During the investigation process, according to the needs of the thesis we decide to divided into normal working day and holidays to investigate the supermarket and the business hour of entire day will be divided into 13 time periods, each time randomly survey 200 unit time (each unit of time is five minutes) to conduct statistical the customers arriving in different time periods in the supermarket. For customer's service time, Investigating 200 customers service time to conduct relevant research. Third, collecting and analyzing the data. Data analysis is the core of the thesis. We analyzed the date of customers and found two phenomena. The first one is the customers arrival is not the same in the day, there are several peak. The customer arrival in working days and holidays are not the same too. The number of customers in holidays is more than that in working days, especially in the peak of the day. The peak in holidays is one hour earlier than that in working days and the number is 1.5 times than that in working days. The second one is the number of checkout opening up is irrational in each time periods. In leisure time there are many free checkouts and in the busy time the customers have to wait too long time as the small number of checkouts. We also analyzed the service time and we found three phenomena. One is Scan time of goods accounted for 70% of the total service time, so the scan is the core part of service. Need to manually enter the bar code and unboxing (deduction) before scanning the goods, their service time was significantly longer than the average service time. The second is People who buy 3 and below 3 goods account for more than 30% of the total number, so to establish fast-track is very necessary. The last one is credit card billing model mostly used by young people and the students are main groups. Finally, this chapter using queuing theory to analyze the service system for charge and using queuing model to optimize the existing system. Then calculated the number should be opened at different times in holidays and working days. The system efficiency remained at 94% after optimizing, meanwhile the systems free rates and customer waiting time reduced significantly.The chapter of this paper is the optimization of cashier service in a large supermarket. This chapter based on the system optimization and combined with the specific problems arising in cashier services, to optimize the cashier service. The optimization of the core idea is to separate the cashier service from current work. According to this idea, this chapter proposes settlement of commodity scanning optimization program, dividing into two major categories include five specific programs. Each program has its own characteristics, managers can target their management choose the right solution for different.