Alphanumeric Journal

Number 1, 2013

001-011
Historical Development of Operations Research and It’s Features

Authors: Ahmet ÖZTÜRK

Abstract

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Number of views: 566

As the global market becomes fiercely competitive, Operations Research has gained significance in strategic business decisions. The growth of global markets and the resulting increase in competition have lightened the need for Operations Research. Today it is one of the popular decision science tools used by profit and nonprofit organizations. Operational Research as a new field started in the British Military in the second half of the 1930s as a response to the mobilization of the German air force. But it is starting point based on Archimedes’s studies. Archimedes collected empirical data, analyzed those data using mathematics and used the results to doing equipment and formulated method for countering the Roman siege to Syracuse in 213 B.C. He can be considered the first operations analyst and his studies can be accepted starting point of operations research. Taylorism is often mentioned as a precursor of Operations Research and it is a scientific origin of operations research. After Second World War, Operations Research is developed as academic discipline in academic and business environment. Many new Operation Research techniques are developed by distinguished scientists and applied at many different fields by them. The paper aims to outline historical development of Operations Research as a starting point, a scientific origin, a new field and an academic discipline in some countries like Turkey of the world. Besides, in this study it’s given eleven different definition of operations research and by those definitions it’s eleven different features which is not considered in Turkish literature is explained.

013-026
A Low Cost Mobile Patient Monitoring System Proposal For Healthcare

Authors: Tunçhan Cura

Abstract

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Number of views: 541

In this study, a mobile patient monitoring system is proposed especially for medium-sized hospitals. The proposed system is relatively low cost, and thus does not causes an additional burden on patients. This system contains a small expert system. The rule base of the system is built using a relational database management system. Rule base is kept completely independent of the programmer and the programming language. Thanks to this flexible design, it is possible to update rule base without an intervention to program code.

027-032
Evaluation of Personel E-Commerce Applications with Categorical Data Analysis Methods

Authors: Çiğdem ARICIGİL ÇİLAN, Sultan KUZU

Abstract

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Number of views: 493

Categorical Data Analysis Methods, a collection of methods used in the analysis of categorical data sets. Especially in the field of Social Sciences, categorical data sets commonly used in studies is usually nominal, ordinal and discrete variables, which consists of a limited category. These data sets are based on analysis of contingency tables, and the investigation of the relationship between two categorical variables the non-parametric methods are applied in accordance with the number of variables and category scales. In this study, the personal e-commerce applications in Turkey, a profile of the overall dimensions determined by descriptive statistics and personal relationship between e-commerce applications, demographic factors will be investigated in accordance with the methods Categorical Data Analysis. To this end, in 2012, organized by the Statistics Institute of Turkey Household ICT Usage Survey micro-data will be used.

033-045
Production Planning With Fuzzy Linear Programming Approach

Authors: Kenan Oğuzhan ORUÇ, Melike Nazlı GÜLIŞIK

Abstract

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Number of views: 534

Borders among countries have been removed and the competition among enterprises has dramatically increased with the globalization process that has been taking place since the last period of the 20’th century. In order to survive and become successful, this present process requires enterprises to have effective production planning, especially for those engaging in production with order in advance. One possible way of effective production planning is linear programming. It is necessary that data must be of an exact kind in order to be used in linear programming which is a mathematical method. But in real life, it is not possible to know or determine the exact data (such as the amount of demand for a product, the amount of raw materials used in production, price and etc.) in advance. Therefore, fuzzy linear programming models are suggested for such fuzzy cases that exact data is unknown With the production capacity of 600 000 tons of tomato paste annually, Turkey, after USA and Italy, is the third largest production country in the world and the second one in Europe. As it is known, the main source in the production process of tomato paste is tomatoes and those appropriate kinds of tomatoes are grown at certain times in a year. In this sense, it is a must for the firms dealing with tomato paste business to plan and schedule carefully the amounts and times of purchasing and processing of raw materials, amounts of production. Moreover, the amount of the sources for a kg tomatoes source like tomatoes, energy, labor etc. are fuzzy. In this study, a production planning is made with using fuzzy linear programming by analyzing the production process of an example firm dealing with tomato paste, located in Bursa.

047-056
An Application On Flowshop Scheduling

Authors: Sündüs DAĞ

Abstract

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Number of views: 558

Flow shop scheduling problem has been well known as a research field for fifty years. In recent years, researchers have suggested many heuristic procedures to solve this type of problems. Most of these proposed algorithms in flow shop literature were applied to the benchmark problems. Few studies in flow shop literature include a real production application. The aim of this paper is to apply scheduling activity in a real flow shop production line. A cable production line is choosen for the application. All of the jobs are processed with same order which is named as permutational environment. The production line which is composed of eight different machines produces twelve kinds of cable. In other words, the problem size is 12 jobs x 8 machines. The objective of this problem focuses on minimizing total completion time and makespan. An ant colony algorithm is proposed to solve the problem. By changing initial solution of the algorithm, effect on objective function was monitored.