ABSTRACT It is difficult to make efficient decisions in manufacturing environments due to complex... more ABSTRACT It is difficult to make efficient decisions in manufacturing environments due to complexity and uncertainty which one can experience during most of the production phases. Although handling uncertainty is a difficult issue, it must be considered during modeling in order to obtain more realistic solutions for complex problems. One of the flow oriented production systems which is used in manufacturing is parallel assembly lines. They are preferred due to their flexible and productive nature. In this paper, parallel assembly line balancing problem with fuzzy parameters is studied in order to provide more realistic solutions in which the problem data is imprecise. A multi-colony ant algorithm for solving parallel assembly line balancing problems with fuzzy cycle and task times is proposed. Considering task times fuzzy is necessary especially in manual assembly operations. The fuzziness of the cycle time is related to task time variability. The proposed approach is tested on benchmark problems and solutions are presented.
Many real life problems contain imprecise variables, constraints and objectives. Fuzzy set theory... more Many real life problems contain imprecise variables, constraints and objectives. Fuzzy set theory gives an opportunity to handle imprecise terms in such situations. Two-sided assembly line balancing (2sALB) problem which is a generalization of the well known ...
In order to survive, companies have to do their best presentation of products to their customers ... more In order to survive, companies have to do their best presentation of products to their customers while considering the requirements of global competiton. Companies and customers have paid an attention to ISO 9000 system within the quality management systems. Therefore, this system, its perceptions, applications and development by companies are worth to investigate. In this research, a questionnaire was formed to determine the profiles of ISO - certified companies in Kayseri. The results of this survey are compared with two different literature survey results, obtained from Kayseri and Turkey, by using statistical techniques. Important conclusions are obtained to guide the certified or planning to be certified companies by discussing survey results.
... Algorithm for Data Mining Applications Lale Özbakır1, Adil Baykasoğlu2, and Sinem Kulluk1 ...... more ... Algorithm for Data Mining Applications Lale Özbakır1, Adil Baykasoğlu2, and Sinem Kulluk1 ... Arbatlı and Akın [2] proposed an algorithm for rule extraction from trained NNs using GAs. The idea behind their approach is to use GA to optimize a NN topology Page 3. ...
Communications in Computer and Information Science, 2008
In this paper, a new data mining tool which is called TACO-miner is used to determine composite D... more In this paper, a new data mining tool which is called TACO-miner is used to determine composite Dispatching Rules (DR) under a given set of shop parameters (ie, interarrival times, pre-shop pool length). The main purpose is to determine a set of composite DRs ...
In this paper, a genetic programming based data mining approach is proposed to select dispatching... more In this paper, a genetic programming based data mining approach is proposed to select dispatching rules which will result in competitive shop performance under a given set of shop parameters (e.g. interarrival times, pre-shop pool length). The main purpose is to select the most appropriate conventional dispatching rule set according to the current shop parameters. In order to achieve this, full factorial experiments are carried out to determine the effect of input parameters on predetermined performance measures. Afterwards, a genetic programming based data mining tool that is known as MEPAR-miner (multi-expression programming for classification rule mining) is employed to extract knowledge on the selection of best possible conventional dispatching rule set according to the current shop status. The obtained results have shown that the selected dispatching rules are appropriate ones according to the current shop parameters. All of the results are illustrated via numerical examples an...
In this paper, a multiple dispatching rule based meta-heuristic solution approach for Job Shop Sc... more In this paper, a multiple dispatching rule based meta-heuristic solution approach for Job Shop Scheduling Problems (JSSP) is presented. The proposed algorithm makes use of Giffler & Thompson's heuristic in deducting feasible schedules and Multiple Objective Tabu Search (MOTS) in generating optimal schedules. Several example problems are solved from the literature to present the effectiveness of the proposed algorithm. The results obtained from the computational study have shown that the proposed algorithm can be used as a new alternative solution technique for finding good solutions to this complex problem.
The understanding of submitting the service which meets the expectations of internal and external... more The understanding of submitting the service which meets the expectations of internal and external consumers of educational institutions is increasing every day. During the last decade, many successful applications appeared in this area. In this study, alternative models for applications of total quality philosophy on educational institutions are analyzed first. The most appropriate group of models for Engineering Faculty of Erciyes University are determined. The questionnaires are prepared by identifying the critical processes as quality indicators for selected models. These are applied to academic staff and students which are the main internal consumers of Engineering Faculty Administration. The present situation is evaluated to improve the ability of submitting the better service for the students which are the internal consumers and also the main product of the system. Results of the questionnaires are presented graphically. These results helped us to make important suggestions fo...
Page 1. ORIGINAL ARTICLE Rule extraction from artificial neural networks to discover causes of qu... more Page 1. ORIGINAL ARTICLE Rule extraction from artificial neural networks to discover causes of quality defects in fabric production Lale O¨ zbakır • Adil Baykasog˘lu • Sinem Kulluk Received: 14 January 2010 / Accepted: 29 July 2010 Ó Springer-Verlag London Limited 2010 ...
Journal of Manufacturing Technology Management, 2008
PurposeIn today's very competitive, dynamic and unpredictable manufacturing environments it i... more PurposeIn today's very competitive, dynamic and unpredictable manufacturing environments it is critical to improve manufacturing performance in order to be able to compete. Responsiveness and agility become important characteristics of manufacturing systems and organizations. Manufacturing systems must be designed optimally by taking into account responsiveness and agility related measures in order to improve effectiveness and performance. One of the important enablers of performance improvement is flexibility. It is a known fact that flexibility has a positive effect on the manufacturing system performance if it is properly utilized by the control system (usually scheduling). However, the relationship between flexibility and manufacturing system performance through scheduling is not entirely explored in the previous literature. The purpose of this paper is to investigate the effects of process plan and machine flexibilities on the scheduling performance of manufacturing job‐sho...
The International Journal of Advanced Manufacturing Technology, 2006
Int J Adv Manuf Technol DOI 10.1007/s00170-005-0322-4 ORIGINAL ARTICLE Adil Baykasoğlu . Lale Özb... more Int J Adv Manuf Technol DOI 10.1007/s00170-005-0322-4 ORIGINAL ARTICLE Adil Baykasoğlu . Lale Özbakır ... Scholl and Klein [13] developed a branch-and-bound algorithm which is proved to be effective in solving either optimally or sub-optimally problems of up to 297 tasks. ...
Extracting classification rules from data is an important task of data mining and gaining conside... more Extracting classification rules from data is an important task of data mining and gaining considerable more attention in recent years. In this paper, a new meta-heuristic algorithm which is called as TACO-miner is proposed for rule extraction from artificial neural networks (ANN). The proposed rule extraction algorithm actually works on the trained ANNs in order to discover the hidden knowledge
ABSTRACT It is difficult to make efficient decisions in manufacturing environments due to complex... more ABSTRACT It is difficult to make efficient decisions in manufacturing environments due to complexity and uncertainty which one can experience during most of the production phases. Although handling uncertainty is a difficult issue, it must be considered during modeling in order to obtain more realistic solutions for complex problems. One of the flow oriented production systems which is used in manufacturing is parallel assembly lines. They are preferred due to their flexible and productive nature. In this paper, parallel assembly line balancing problem with fuzzy parameters is studied in order to provide more realistic solutions in which the problem data is imprecise. A multi-colony ant algorithm for solving parallel assembly line balancing problems with fuzzy cycle and task times is proposed. Considering task times fuzzy is necessary especially in manual assembly operations. The fuzziness of the cycle time is related to task time variability. The proposed approach is tested on benchmark problems and solutions are presented.
Many real life problems contain imprecise variables, constraints and objectives. Fuzzy set theory... more Many real life problems contain imprecise variables, constraints and objectives. Fuzzy set theory gives an opportunity to handle imprecise terms in such situations. Two-sided assembly line balancing (2sALB) problem which is a generalization of the well known ...
In order to survive, companies have to do their best presentation of products to their customers ... more In order to survive, companies have to do their best presentation of products to their customers while considering the requirements of global competiton. Companies and customers have paid an attention to ISO 9000 system within the quality management systems. Therefore, this system, its perceptions, applications and development by companies are worth to investigate. In this research, a questionnaire was formed to determine the profiles of ISO - certified companies in Kayseri. The results of this survey are compared with two different literature survey results, obtained from Kayseri and Turkey, by using statistical techniques. Important conclusions are obtained to guide the certified or planning to be certified companies by discussing survey results.
... Algorithm for Data Mining Applications Lale Özbakır1, Adil Baykasoğlu2, and Sinem Kulluk1 ...... more ... Algorithm for Data Mining Applications Lale Özbakır1, Adil Baykasoğlu2, and Sinem Kulluk1 ... Arbatlı and Akın [2] proposed an algorithm for rule extraction from trained NNs using GAs. The idea behind their approach is to use GA to optimize a NN topology Page 3. ...
Communications in Computer and Information Science, 2008
In this paper, a new data mining tool which is called TACO-miner is used to determine composite D... more In this paper, a new data mining tool which is called TACO-miner is used to determine composite Dispatching Rules (DR) under a given set of shop parameters (ie, interarrival times, pre-shop pool length). The main purpose is to determine a set of composite DRs ...
In this paper, a genetic programming based data mining approach is proposed to select dispatching... more In this paper, a genetic programming based data mining approach is proposed to select dispatching rules which will result in competitive shop performance under a given set of shop parameters (e.g. interarrival times, pre-shop pool length). The main purpose is to select the most appropriate conventional dispatching rule set according to the current shop parameters. In order to achieve this, full factorial experiments are carried out to determine the effect of input parameters on predetermined performance measures. Afterwards, a genetic programming based data mining tool that is known as MEPAR-miner (multi-expression programming for classification rule mining) is employed to extract knowledge on the selection of best possible conventional dispatching rule set according to the current shop status. The obtained results have shown that the selected dispatching rules are appropriate ones according to the current shop parameters. All of the results are illustrated via numerical examples an...
In this paper, a multiple dispatching rule based meta-heuristic solution approach for Job Shop Sc... more In this paper, a multiple dispatching rule based meta-heuristic solution approach for Job Shop Scheduling Problems (JSSP) is presented. The proposed algorithm makes use of Giffler & Thompson's heuristic in deducting feasible schedules and Multiple Objective Tabu Search (MOTS) in generating optimal schedules. Several example problems are solved from the literature to present the effectiveness of the proposed algorithm. The results obtained from the computational study have shown that the proposed algorithm can be used as a new alternative solution technique for finding good solutions to this complex problem.
The understanding of submitting the service which meets the expectations of internal and external... more The understanding of submitting the service which meets the expectations of internal and external consumers of educational institutions is increasing every day. During the last decade, many successful applications appeared in this area. In this study, alternative models for applications of total quality philosophy on educational institutions are analyzed first. The most appropriate group of models for Engineering Faculty of Erciyes University are determined. The questionnaires are prepared by identifying the critical processes as quality indicators for selected models. These are applied to academic staff and students which are the main internal consumers of Engineering Faculty Administration. The present situation is evaluated to improve the ability of submitting the better service for the students which are the internal consumers and also the main product of the system. Results of the questionnaires are presented graphically. These results helped us to make important suggestions fo...
Page 1. ORIGINAL ARTICLE Rule extraction from artificial neural networks to discover causes of qu... more Page 1. ORIGINAL ARTICLE Rule extraction from artificial neural networks to discover causes of quality defects in fabric production Lale O¨ zbakır • Adil Baykasog˘lu • Sinem Kulluk Received: 14 January 2010 / Accepted: 29 July 2010 Ó Springer-Verlag London Limited 2010 ...
Journal of Manufacturing Technology Management, 2008
PurposeIn today's very competitive, dynamic and unpredictable manufacturing environments it i... more PurposeIn today's very competitive, dynamic and unpredictable manufacturing environments it is critical to improve manufacturing performance in order to be able to compete. Responsiveness and agility become important characteristics of manufacturing systems and organizations. Manufacturing systems must be designed optimally by taking into account responsiveness and agility related measures in order to improve effectiveness and performance. One of the important enablers of performance improvement is flexibility. It is a known fact that flexibility has a positive effect on the manufacturing system performance if it is properly utilized by the control system (usually scheduling). However, the relationship between flexibility and manufacturing system performance through scheduling is not entirely explored in the previous literature. The purpose of this paper is to investigate the effects of process plan and machine flexibilities on the scheduling performance of manufacturing job‐sho...
The International Journal of Advanced Manufacturing Technology, 2006
Int J Adv Manuf Technol DOI 10.1007/s00170-005-0322-4 ORIGINAL ARTICLE Adil Baykasoğlu . Lale Özb... more Int J Adv Manuf Technol DOI 10.1007/s00170-005-0322-4 ORIGINAL ARTICLE Adil Baykasoğlu . Lale Özbakır ... Scholl and Klein [13] developed a branch-and-bound algorithm which is proved to be effective in solving either optimally or sub-optimally problems of up to 297 tasks. ...
Extracting classification rules from data is an important task of data mining and gaining conside... more Extracting classification rules from data is an important task of data mining and gaining considerable more attention in recent years. In this paper, a new meta-heuristic algorithm which is called as TACO-miner is proposed for rule extraction from artificial neural networks (ANN). The proposed rule extraction algorithm actually works on the trained ANNs in order to discover the hidden knowledge
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