Modelling without queues: adapting discrete-event simulation for service operations

نویسنده

  • Stewart Robinson
چکیده

Discrete-event simulation, which has largely grown out of modelling manufacturing systems, has increasingly been applied in the service sector. The approach, however, is not always appropriate for modelling service operations. In particular, it cannot help with detailed decisions about the layout of service operations in which the customers are present such as retail outlets and airports. An adapted discrete-event simulation approach is proposed for modelling such systems and the approach is demonstrated through a model of a coffee shop. A key innovation is that queues are not explicitly modelled. The benefit of the approach is that it simplifies the modelling of service systems in which the customers are present by reducing the number of components that need to be modelled. It can also aid decisions about the layout of a system. We ask whether the approach is in fact an agent-based simulation and identify ways in which the approach could be extended.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Service Process Modeling through Simulation and Scenario Development for Insurance Analysis

Insurance companies are among the service organizations, which maintain close relationships with their clients by providing insurance services. Clients are the most important resource for service companies. And profitability of insurance companies undoubtedly hinges on clear analysis of client satisfaction and improved productivity of service providers. An important factor of client satisfactio...

متن کامل

Simulation Modeling and Analysis of In-Flight Service Operations for Commercial Passenger Flights

Nowadays, in-flight comfort has become an essential characteristic to survive in domestic airline businesses. Air hostesses’ quality of service and response time to customer demand plays a vital role in enhancing quality of the flight experience and passenger satisfaction. However, additional requirements on air hostess expose them to fatigue which could eventually result in job dissatisfac...

متن کامل

Performance Measurement and Improvement of Healthcare Service Using Discrete Event Simulation in Bahir Dar Clinic

This paper deals with the service performance analysis and improvement using discrete event simulation has been used. The simulation of the health care has been done by arena master development 14-version software. The performance measurement for this study are patients output, service rate, service efficiency and it is directly related to waiting time of patients in each service station, work ...

متن کامل

Smart priority queue algorithms for self-optimizing event storage

Low run-time overhead, self-adapting storage policies for priority queues called Smart Priority Queue (SPQ) techniques are developed and evaluated. The proposed SPQ policies employ a lowcomplexity linear queue for near-head activities and a rapid-indexing variable bin-width calendar queue for distant events. The SPQ configuration is determined by monitoring queue access behavior using cost-scor...

متن کامل

Productivity Improvement of BOB T-shirt through Line Balancing Using Control Limit analysis and discrete event simulation (Case study: - MAA Garment and Textile Factory)

 This study deals with line balancing of BOB T-shirt model with the help of control limit analysis and discrete event simulation of the assembly lines. In this study control limit analysis is used to measure the performance of the assembly line and used to show the bottleneck operations of the assembly line and line balancing technique improves the productivity of the sewing line of the model. ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • J. Simulation

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2015