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Article
Publication date: 18 December 2018

Fatih Cavdur, Betul Yagmahan, Ece Oguzcan, Nazli Arslan and Nurbanu Sahan

The purpose of this paper is to present a methodology for using simulation models together with value stream mapping (VSM) for designing lean service systems and illustrate it…

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Abstract

Purpose

The purpose of this paper is to present a methodology for using simulation models together with value stream mapping (VSM) for designing lean service systems and illustrate it with a case study.

Design/methodology/approach

The authors propose a methodology combining simulation and VSM. Simulation models for both current and future states are developed to validate the results of the corresponding maps of current and future states, respectively.

Findings

The results illustrate the advantages of the suggested design represented by the future state map. Additionally, using simulation models together with VSM for validating current and future states also allows decision makers to perform comprehensive analyses on the system and draw statistical conclusions.

Originality/value

Although some lean applications in educational services exist in previous studies, according to the best of the authors’ knowledge, this study is the first one combining VSM and simulation for the implementation of the lean concepts in the construction and technical services of a public university.

Details

Business Process Management Journal, vol. 25 no. 7
Type: Research Article
ISSN: 1463-7154

Keywords

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Article
Publication date: 1 May 2006

H. Cenk Ozmutlu, Fatih Cavdur and Seda Ozmutlu

Content analysis of search engine user queries is an important task, since successful exploitation of the content of queries can result in the design of efficient information…

676

Abstract

Purpose

Content analysis of search engine user queries is an important task, since successful exploitation of the content of queries can result in the design of efficient information retrieval algorithms of search engines, which can offer custom‐tailored services to the web user. Identification of topic changes within a user search session is a key issue in content analysis of search engine user queries. The purpose of this study is to address these issues.

Design/methodology/approach

This study applies genetic algorithms and Dempster‐Shafer theory, proposed by He et al., to automatically identify topic changes in a user session by using statistical characteristics of queries, such as time intervals and query reformulation patterns. A sample data log from the Norwegian search engine FAST (currently owned by overture) is selected to apply Dempster‐Shafer theory and genetic algorithms for identifying topic changes in the data log.

Findings

As a result, 97.7 percent of topic shifts and 87.2 percent of topic continuations were estimated correctly. The findings are consistent with the previous application of the Dempster‐Shafer theory and genetic algorithms on a different search engine data log. This finding could be implied as an indication that content‐ignorant topic identification, using query patterns and time intervals, is a promising line of research.

Originality/value

Studies an important dimension of user behavior in information retrieval.

Details

Internet Research, vol. 16 no. 3
Type: Research Article
ISSN: 1066-2243

Keywords

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Article
Publication date: 1 February 2005

Seda Özmutlu and Fatih Çavdur

This study aims to propose an artificial neural network to identify automatically topic changes in a user session by using the statistical characteristics of queries, such as time…

1093

Abstract

Purpose

This study aims to propose an artificial neural network to identify automatically topic changes in a user session by using the statistical characteristics of queries, such as time intervals and query reformulation patterns.

Design/methodology/approach

A sample data log from the Norwegian search engine FAST (currently owned by Overture) is selected to train the neural network and then the neural network is used to identify topic changes in the data log.

Findings

A total of 98.4 percent of topic shifts and 86.6 percent of topic continuations were estimated correctly.

Originality/value

Content analysis of search engine user queries is an important task, since successful exploitation of the content of queries can result in the design of efficient information retrieval algorithms for search engines, which can offer custom‐tailored services to the web user. Identification of topic changes within a user search session is a key issue in the content analysis of search engine user queries.

Details

Online Information Review, vol. 29 no. 1
Type: Research Article
ISSN: 1468-4527

Keywords

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