The Customer Queuing Systems
Luis A. Alvarado
Business 425
Instructor Dr. Bates
March 17, 2012
Abstract
In this essay, two companies will be identified and described on how they utilize a queuing system. Only two of the four most basic waiting line structures will be discussed: single-server and multiple-server waiting lines. Since waiting is an integral part of many service related operations, it is an important area of analysis. Each queue system has its advantages and disadvantages, but with no doubt each company’s goal is to cut down on the waiting time and that customer returns. In particular, we examine their implementation of both processes and try to find solutions to improve the waiting line process.
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The multiple-server waiting line approach eliminates jockeying behavior. A single-line, multiple-server system has better performance in terms of waiting times than the same system with a line for each server. The multiple-line configuration is appropriate when experienced servers are used or when space considerations make a single-line model inconvenient. On the other hand, the multiple-service line system provides the customer the option of selecting his clerk, but check-out may be considerably slower (Jones, O’Berski, & Tom, 1980, p. 91). There are many ways to minimize customer wait times. One way to reduce customer wait time is to decrease the expected service time. This can be accomplished by identifying best practices among all the servers, standardizing processes based on best practices, and enhancing training to ensure that best practices are followed. Also, you may choose to offer employee incentives that encourage working faster as a way to decrease service time. Another way to impact customer wait time is to decrease the rate at which customers arrive to be served. If your service operation experiences peak service hours at certain times of the day when your customers prefer to be served, then management could offer the customer promotions geared to increase traffic during off-peak times. Finally, by adding more servers you will be able to reduce customer wait
Shuzworld aims to keep customer satisfaction at its highest. A customer approach that focuses on making the customer happy is of upmost importance. One way to achieve this is to ensure that customer wait time is kept to a minimum. Specific questions have been posed for concern; how many customers will be in the system; how many customers on average will be in line; and what the probability is of one being in line or being served? The company is looking at staffing each
Learned about different conventions to impart between the customer and servers and the techniques to be utilized as a part of correspondence such as doGet (),doPost (),doService () and so forth.
3. Two suggestions from other stores I would implement would be, I would buy two queue for our sales department and one for our repair shop. This would enhance fast service and convenience. While waiting to be attended,
While faced with competitive markets and globalization, companies are always looking for ways to improve their overall cost and pricing structure. It is becoming increasingly more difficult to maintain quality levels of service while providing good and services at rates where companies can remain profitable.
Based on performance indicators for picking and order preparation, central distribution centers provide a more cost efficient option. Performance for picking and order preparation efficiency is specified by accurate, cost efficient, and timing on picking and preparing the orders. Picking and order preparation efficiency in a store is low and endures high labor costs per order (Agatz, 2009). With a higher volume demand, distribution centers provide a high picking efficiency, whereas stores provide only a low picking efficiency (Boyer & Hult, 2005).
a) Seeing as how Alton Towers is an amusement park, factors that could effect could affect customer service can range from factors such as are there many places for visitors to purchase food for when they are hungry, are they enough lavatories around the park, and, most importantly, are the rides in the park easily accessible. Other things such as how queues are managed and navigation around the park may also affect customer service.
Speed is also important inside the operation. If the movement of materials and information is not quick enough, this could delay the process of serving the customers as quickly as possible.
The current average utilization rate of the call centre is 30.48% (see appendix XXX). The average arrival rate, rate at which the patients call, is lower than the average service rate, rate at which the patients are serviced. However, both the arrival time and the service time contain moderate variability (see appendix XXX), negatively impacting the flow time during peak hours. There are two arrival rate variability issues: variability amongst the different days the calls are received and variability amongst the hours the calls are received. The problem is bigger than Laura anticipated. As per the ‘Appendix 5’ of the case, the average daily abandoned calls are 338 and not 35. This does not include the patients receiving a busy signal, therefore becoming lost throughputs. Thus given the low utilization rate it is clear that the problem the call centre faces is in managing variability and not capacity.
Evaluation of the queues at each station revealed that Station 3 (Average Queue: 556.6, St Dev: 453.3) was more strained than Station 1 (Average Queue: 386.1, St Dev: 363.3). The firm understands that as queues Figure 2: Machine Utilization and Queues at Littlefield Technologies
2. Flexibility increase speed of response - being able to give fast service for customers depends on the operation being flexible. Flexible operations speedily transfer extra skilled staff and equipment to the urgent conditions and emergencies will provide the service
In an ideal situation, customers would not have to wait for the delivery of products and services. However, in the real world, organizations cannot always match exact capability and demand; therefore, waiting is frequently inevitable while purchasing, especially in service marketing, as service firms can barely inventory their “stock” for sale at a later date (Lovelock, 1992, p.154). In general, waiting in lines – known as “queuing”, happens when the number of customers arrive at a facility exceeds the capability of the system to serve them (Lovelock & Wirtz, 2011, p.260). Basically, this essay will state the relationship between queuing and customer satisfaction, as well as relationship between customer satisfaction and
The goal of this project is to use queueing principles to understand complex biological systems, especially those that involve proteolytic pathways. The proposed work will combine experimental and theoretical techniques to develop and apply queueing theory to synthetic oscillatory, translational, and toxin-antitoxin (TA) systems in the model organism E. coli (initial experiments will utilize the background NB00142-43 lacking genomic araC and lacI for studies involving the oscillator, and the background DH5alphaZ158 otherwise). In this section, we describe the proposed work for each of the specific research objectives (Section 6.1), specific outreach objectives (Section 6.2), and the significance of each objective
Providing a self-check-out machine to save the customer’s time. Also, these machines will reduce the expenses that will be paid for the labours.