Simulating the Waiting‐line Problem: A Spreadsheet Application

Author:

Al‐Faraj Taqi N.,Alidi Abdulaziz S.,Al‐Zayer Jamal A.,Jones C. Kenneth

Abstract

Spreadsheet software is now widely used as a decision‐making tool, owing to the simplicity and ease with which generalists can analyse and obtain fast and precise information. Through spreadsheet programs, a non‐specialist can conduct an exhaustive “what if” search in order to make decisions regarding “what if” questions. Now, with the availability of a random number function in most spreadsheet programs, simulation models can be carried out within the spreadsheet. How the waiting‐line problem can be simulated using a spreadsheet package is demonstrated. The simulation process serves as a decision‐support system to assist decision makers to determine the appropriate service level based on number of servers. Arrival of customers to obtain service is stochastic in nature and therefore can be assigned a probability distribution using historical data. Through the random‐number function, which is available in most spreadsheet programs, random numbers can be generated and used along with the assigned probability distribution to assist in making the service‐level decision.

Publisher

Emerald

Subject

Management of Technology and Innovation,Strategy and Management,General Decision Sciences

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of a decision support tool for supply chain coordination using contracts;Journal of Advances in Management Research;2008-10

2. Simulation modeling of a garment production system using a spreadsheet to minimize production cost;International Journal of Clothing Science and Technology;1999-12

3. A Spreadsheet-Based Management Support System for a Product-Mis Optimization Model;Journal of Computer Information Systems;1998-09

4. Spreadsheet simulation of a queue with arrivals from a finite population;International Journal of Operations & Production Management;1995-06-01

5. Spreadsheet Simulation Model For Inventory Management;SIMULATION;1994-07

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