Improving Quaity of Services in KENIKA Enterprises Essay

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

Using the appropriate queuing model, compute the server utilization (probability that the server is busy) and the waiting time W (known as the response time in this application), as the number of clients M varies from 1 to 20. (Use a data table). Plot W against M to show the effect of the number of clients on the system response. At high server utilization the system is congested and each additional client increases the response time by its service time and the plot of W against M becomes linear. From your computed results calculate the change in W as M increases from 19 to 20.

This report is a continuation of the group project which produced and analysed a working simulation model of the queueing problems at ‘University House Restaurant’ using Simul8. From the conceptual modelling of the group project, the model contents, which include the scope and the level of detail, and constraints, will remain the same as well as the simplifications and assumptions. Likewise, the validation and verification of the model are assumed to be reasonably accurate. However, some factors from the original report will be subject to change according to different scenarios during the experimentation.

As customers, we generally do not like to wait more than the expected wait time. The managers of the establishments at which we wait also do not like long waiting times, since such waits may adversely affect customer’s loyalty, thereby affecting revenues. In general, a queuing system involves customers who enter the system, perhaps wait in a line (a queue), are served, or leave the system not served. At

A number of authors have highlighted many challenges operations managers encounter while managing supply and demand in the service industry which affect their competence to continuously maintain quality standards while achieving their productivity aims. Armistead et al (1994 p 6), states they are as follows;

An objective of writing this report is to identity and analyzes operation system applied in IKEA, the well-known low cost yet high quality home of furnishing. Function, process and strategy of IKEA operation system will be accessed to identity the core competency that lead to the successfulness of IKEA in the world. Besides, other purpose in complete this report is to analyze the strength and weakness of operation system in IKEA. Operation management is procedure where processes of production or deliver goods and services is being monitoring and managing. Operations management is the activity of managing the resources which produce and deliver products and services (Slack, Chambers and Johnston, 2010). Operations

“ The secret of successful retailing is to give your customers what they want. And really, if you think about it from your point of view as a customer, you want everything: a wide assortment of good-qualitymerchandise; the lowest possible prices; guaranteed satisfaction with what you buy; friendly, knowledgeable service; convenient hours; free parking; a pleasant shopping experience.”- Sam Walton (1918-1992) (Wal-mart service strategies)

Abstract— Queueing theory is the mathematical study of waiting lines, or queues. In queueing theory a model is constructed so that queue lengths and waiting time can be predicted. Queueing theory is generally considered a branch of operations research because the results are often used when making business decisions about the resources needed to provide a service. EDF (Earliest Deadline First) has been proved to be optimal scheduling algorithm for single processor realtime operating systems when the systems are preemptive and underloaded. The limitation of this algorithm is, its performance decreases exponentially when system becomes slightly overloaded. ACO

Operations play a major role when determining the best approach to developing and implementing a customer-friendly strategy. The top companies focus on providing high-quality service, whether delivery or pick up.

In order to succeed in any business we have to be aware of operations management. It is considered as the most important part of the company; it is the part which is responsible for producing goods and providing services. After all, operating a big organization isn’t quite easy and simple, businessmen should know about almost everything related to operations such as quality control, strategic capacity and forecasting. We chose The Cheesecake Factory; a well-known good and service provider here in the UAE as an example of how a business organization operates. The cheesecake Factory is one of the most famous

Queuing Characteristics: Queuing system has three characteristics they are: arrivals of inputs to the system, the waiting list and the service facility (Render et al, 2015). A simulation modeling process is based mainly on feeding the quantitative data into a model to produce quantitative results in a structured sequential process (Eldabi, 2002). This method assists managers by allowing them the opportunity to create a simulation model to see the various advantages and disadvantages of any changes they would like to integrate into their

• Linear programming • Queuing Techniques • Inventory models • Project models • Statistical models

Low-cost, time-efficient manufacturing of goods is a key feature of a successful production company in today’s competitive global economy. Operations management, often abbreviated in the business world as OM, is defined as “...the set of activities that creates value in the form of goods and services by transforming inputs into outputs (Heizer and Render, p. 4).” Every day, factories take in raw materials and use the labor hours and skills of their employees to transform those same materials into a variety of consumer products,

Poisson distribution is also known as a discrete of probability distribution which often describes as the arrival rate in queuing theory. The last major of characteristics is waiting line. For characteristic of waiting lines is a queuing discipline when the first customers in line receive the first service and known as first-in first-out (FIFO) rule. The third of characteristics of queuing theory which is service characteristics that have some major such as basic queuing system designs which classified in terms of channels number and phases number. In basic queuing there have single-channel queuing system which mean a service system with one line and one server, multiple-channel queuing systemwhich mean a system of service that have one waiting line unfortunately have several servers, single-phase system which is the customer receives service from only one station and then exits the system and multiphase system which is the customer receives service from some stations before exiting the system. In service characteristics also have service time distribution which is the arrival patterns can be either constant or random. According to (Mital

What is queuing theory? What type of questions are sought to be answered in analyzing a queuing system? Give a general structure of the queuing system and explain. Illustrate some queuing situations. What is queuing theory? In what types of problem situations can it be applied successfully? Discuss giving examples.