pei-chann chang | Yuan Ze University (original) (raw)

Papers by pei-chann chang

Research paper thumbnail of Application of genetic algorithm to the unrelated parallel machine scheduling problem

Journal of the Chinese Institute of Industrial Engineers, 2002

This research applies the genetic algorithm with elitism strategy to the plastic and chemical ind... more This research applies the genetic algorithm with elitism strategy to the plastic and chemical industry for the most part and takes Bi-Oxide Polypropylene (BOPP) FILM process as an example. Scheduling of BOPP FILM belongs to unrelated parallel machine scheduling problem. It considers not only the sequencing but also dispatching the orders to machines. The past literatures about unrelated parallel machine concentrate on the optimal solutions with respect to single objective. But, reviewing the real world case, single- ...

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Research paper thumbnail of Study on the competitiveness indices of Taiwan's department stores

Journal of the Chinese Institute of Industrial Engineers, 2007

The purpose of this research is to adopt the Analytical Hierarchy Process to develop the competit... more The purpose of this research is to adopt the Analytical Hierarchy Process to develop the competitive factors which can strengthen department stores' overall performance in the highly competitive retail market. Firstly, the competitiveness indices are proposed by referring to the related literature and interviewing with the experts, scholars and industrial practitioners. Secondly, a hierarchy structure is built up to cover up these detail indices and the relative weights are assigned to each dimension and index. Finally, the ...

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Research paper thumbnail of Applying Association-Rule Techniques and Artificial Neural Networks to Product Development

Journal of the Chinese Institute of Industrial Engineers, 2003

With the help of advanced technology, product life cycle becomes shorter and shorter. Concurrent ... more With the help of advanced technology, product life cycle becomes shorter and shorter. Concurrent Engineering (CE), contrast to Sequential Engineering, is a product development paradigm that considers all product life cycle activities at a time to shorten design phase and lower the cost. The activities include manufacturing, assembling, reliability, and recycling. Although CE can condense time-to-market and increases competitiveness of new products, it is found that current CE practice is not enough in ...

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Research paper thumbnail of Parametric analysis of bi-criterion single machine scheduling with a learning effect

International Journal of Innovative Computing, Information and Control, 2008

Abstract. In a manufacturing system workers are involved in doing the same job or activity repeat... more Abstract. In a manufacturing system workers are involved in doing the same job or activity repeatedly. Hence, the workers start learning more about the job or activity. Because of the learning, the time to complete the job or activity starts decreasing, which is known as “learning effect.” In this paper, we present a parametric analysis of bi-criterion single machine scheduling problem of n jobs with a learning effect. The two objectives considered are the total completion time (TC) and total absolute differences in completion times (T ...

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Research paper thumbnail of Genetic algorithm and case-based reasoning applied in production scheduling

STUDIES IN FUZZINESS AND SOFT COMPUTING, Nov 23, 2004

Summary. In this chapter, a case study of hybrid systems with case-based reasoning (CBR) and gene... more Summary. In this chapter, a case study of hybrid systems with case-based reasoning (CBR) and genetic algorithm for production scheduling is presented. The basics of case-based reasoning and production scheduling will first be presented. A casebased genetic algorithm (CBGA) is then developed to deal with the single machine scheduling problem considering the release time. The objective of case study is to minimize the total weighted completion time. CBGA first retrieves similar cases from the case base, and then incorporates these ...

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Research paper thumbnail of A guided memetic algorithm with probabilistic models

International Journal of Innovative Computing, Information and Control, 2009

Page 1. International Journal of Innovative Computing, Information and Control ICIC International... more Page 1. International Journal of Innovative Computing, Information and Control ICIC International c 2009 ISSN 1349-4198 Volume 5, Number 12(B), December 2009 pp. 4753–4764 A GUIDED MEMETIC ALGORITHM WITH PROBABILISTIC MODELS Shih-Hsin Chen 1 , Pei-Chann Chang 2 , Qingfu Zhang 3 and Chin-Bin Wang 1 1Department of Electronic Commerce Management Nanhua University No. 32, Chungkeng, Dalin, Chiayi 62248, Taiwan { shihhsin; cbwang }@mail.nhu.edu.tw ...

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Research paper thumbnail of Scheduling< i> n</i> jobs on one machine to minimize the maximum lateness with a minimum number of tardy jobs

Computers & industrial engineering, Sep 30, 2001

This study considers the problem of scheduling n jobs, each job having an arrival time, a process... more This study considers the problem of scheduling n jobs, each job having an arrival time, a processing time and a due date, on a single machine with the dual objective of minimizing the maximum lateness subject to obtaining a minimum number of tardy jobs. A simple procedure is introduced to identify two critical jobs from which the maximum lateness is generated for a given sequence. The sequence of jobs between two critical jobs inclusive is called the critical path. On the basis of the critical path, Carlier's binary branching rule is ...

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Research paper thumbnail of A rescheduling procedure for manufacturing systems under random disruptions

Short to medium term schedules of a manufacturing system are often produced a priori in order to ... more Short to medium term schedules of a manufacturing system are often produced a priori in order to direct production operations and to support other planning activities such as tooling, raw material delivery and resource allocation. Unfortunately, as soon as the a priori schedule is released to the shop, myriad disturbances will arise which render the schedule obsolete.“Rescheduling” is a means of restoring the operations schedule when such a disruption has occurred. Complications arise when schedule changes induce major cost ...

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Research paper thumbnail of Detection of Hypometabolic Lesions in Cerebral Vascular Disease Using …

核子醫學雜誌

Received 11/11/2004; revised 12/1/2004; accepted 12/2/2004. For correspondence or reprints contac... more Received 11/11/2004; revised 12/1/2004; accepted 12/2/2004. For correspondence or reprints contact: Chen-Ming Sun, Department of Nuclear Medicine, Chung Shan Medical University Hospital, 110 Section 1, Chen-Kuo North Road, Taichung 402, Taiwan. Tel: (886)4- ...

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Research paper thumbnail of Production planning optimization for manufacturing and remanufacturing system in stochastic environment

Abstract This article studies a single item dynamic lot sizing problem with manufacturing and rem... more Abstract This article studies a single item dynamic lot sizing problem with manufacturing and remanufacturing provisions. The demands and returns are considered as both stochastic and deterministic. There are two inventories recoverable and serviceable inventory. We developed a dynamic programming based model with objective to determine the quantities that have to be manufactured or re-manufactured at each period in order to minimize the total cost, including production cost, holding cost for returns and finished goods, and ...

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Research paper thumbnail of Ambulance 12-Lead Electrocardiography Transmission via Cell Phone Technology to Cardiologists

This study demonstrates transmission of 12-lead electrocardiography (ECG) in an ambulance to the ... more This study demonstrates transmission of 12-lead electrocardiography (ECG) in an ambulance to the cell phone of the attendant emergency medical technician and then to the hospital and to cell phones of off-site cardiologists. The emergency medical technician cell phone receives Extensible Markup Language files generated by a Phillips Extensible Markup Language ECG instrument via Wi-Fi-based wireless network and then sends them to an ECG-processing server at the hospital over the mobile telephone network. After reducing ECG noises and artifacts, the server converts files to Digital Imaging and Communications in Medicine-based ECG reports stored in Picture Archiving and Communication System. These reports are sent to the cell phones of off-site cardiologists. Consequently, on-site Emergency Department physicians and off-site cardiologists can discuss ECG reports via Picture Archiving and Communication System on their computers or cell phones to prepare for the most appropriate treatment while the patient is on the way to the hospital. In conclusion, this 12-lead ECG transmission e-technology expands the functions of a 12-lead ECG instrument and facilitates more efficient prehospital cardiac care.

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Research paper thumbnail of Impacts of forecast, inventory policy, and lead time on supply chain inventory-A numerical study

This paper first proposes the use of metaheuristic, to combine with exponential smoothing methods... more This paper first proposes the use of metaheuristic, to combine with exponential smoothing methods, in forecasting future demands and in determining the optimal inventory policy values for each node in a supply chain network based on historical demand or order streams without the need of any prior knowledge about the demand distribution or distribution fitting. The effects of five demand forecasting methods, two inventory policies, and three lead times on the total inventory cost of a 3-echelon serial supply chain system ...

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Research paper thumbnail of Density-based microaggregation for statistical disclosure control

Protection of personal data in statistical databases has recently become a major societal concern... more Protection of personal data in statistical databases has recently become a major societal concern. Statistical disclosure control (SDC) is often applied to statistical databases before they are released for public use. Microaggregation for SDC is a family of methods to protect microdata (ie, records on individuals and/or companies) from individual identification. Microaggregation works by partitioning the microdata into groups of at least k records and, then, replacing the records in each group with the centroid of the group. An optimal ...

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Research paper thumbnail of Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problems

The goal of this research is to deduce important guidelines for designing effective Estimation of... more The goal of this research is to deduce important guidelines for designing effective Estimation of Distribution Algorithms (EDAs). These guidelines will enhance the designed algorithms in balancing the intensification and diversification effects of EDAs. Most EDAs have the advantage of incorporating probabilistic models which can generate chromosomes with the non-disruption of salient genes. This advantage, however, may cause the problem of the premature convergence of EDAs resulted in the probabilistic models no longer generating ...

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Research paper thumbnail of Integrating dominance properties with genetic algorithms for parallel machine scheduling problems with setup times

This paper deals with an unrelated parallel machine scheduling problem with the objective of mini... more This paper deals with an unrelated parallel machine scheduling problem with the objective of minimizing the makespan. There are machine-dependent and job sequence-dependent setup times and all jobs are available at time zero. This is a NP-hard problem and a set of dominance properties are developed including inter-machine (ie, adjacent and non-adjacent interchange) and intra-machine switching properties as necessary conditions of job sequencing orders in an optimal schedule. As a result, by applying these dominance ...

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Research paper thumbnail of Generating artificial chromosomes with probability control in genetic algorithm for machine scheduling problems

Abstract In this paper, a novel genetic algorithm is developed by generating artificial chromosom... more Abstract In this paper, a novel genetic algorithm is developed by generating artificial chromosomes with probability control to solve the machine scheduling problems. Generating artificial chromosomes for Genetic Algorithm (ACGA) is closely related to Evolutionary Algorithms Based on Probabilistic Models (EAPM). The artificial chromosomes are generated by a probability model that extracts the gene information from current population. ACGA is considered as a hybrid algorithm because both the conventional ...

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Research paper thumbnail of Exploring the Links between Competitive Advantage and Enterprise Resource Planning (ERP) Upgrade Decision: A Case Study Approach

The complexities in making an ERP upgrade decision have been widely cited in the trade press. To ... more The complexities in making an ERP upgrade decision have been widely cited in the trade press. To the client-organizations, the issues of maintenance and upgrade are continuously existing and requiring extensive attentions and efforts as far as continuous business improvement and benefit-realization are concerned. However, there is very few studies dedicated to provide better understanding of how a firm considers an ERP upgrade decision. Competitive advantage has often been cited and associated with upgrade ...

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Research paper thumbnail of A neural network with a case based dynamic window for stock trading prediction

Expert Systems with Applications, 2009

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Research paper thumbnail of Combining SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory

This paper presents a novel approach by combining SOM and fuzzy rule base for flow time predictio... more This paper presents a novel approach by combining SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory. Flow time of a new order is highly related to the shop floor status; however, the semiconductor manufacturing processes are highly complicated and involve more than hundred of production steps. There is no governing function identified so far among the flow time of a new order and these shop flow status.

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Research paper thumbnail of A hybrid system integrating a wavelet and TSK fuzzy rules for stock price forecasting

Abstract The prediction of future time series values based on past and present information is ver... more Abstract The prediction of future time series values based on past and present information is very useful and necessary for various industrial and financial applications. In this study, a novel approach that integrates the wavelet and Takagi-Sugeno-Kang (TSK)-fuzzy-rule-based systems for stock price prediction is developed. A wavelet transform using the Haar wavelet will be applied to decompose the time series in the Haar basis.

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Research paper thumbnail of Application of genetic algorithm to the unrelated parallel machine scheduling problem

Journal of the Chinese Institute of Industrial Engineers, 2002

This research applies the genetic algorithm with elitism strategy to the plastic and chemical ind... more This research applies the genetic algorithm with elitism strategy to the plastic and chemical industry for the most part and takes Bi-Oxide Polypropylene (BOPP) FILM process as an example. Scheduling of BOPP FILM belongs to unrelated parallel machine scheduling problem. It considers not only the sequencing but also dispatching the orders to machines. The past literatures about unrelated parallel machine concentrate on the optimal solutions with respect to single objective. But, reviewing the real world case, single- ...

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Research paper thumbnail of Study on the competitiveness indices of Taiwan's department stores

Journal of the Chinese Institute of Industrial Engineers, 2007

The purpose of this research is to adopt the Analytical Hierarchy Process to develop the competit... more The purpose of this research is to adopt the Analytical Hierarchy Process to develop the competitive factors which can strengthen department stores' overall performance in the highly competitive retail market. Firstly, the competitiveness indices are proposed by referring to the related literature and interviewing with the experts, scholars and industrial practitioners. Secondly, a hierarchy structure is built up to cover up these detail indices and the relative weights are assigned to each dimension and index. Finally, the ...

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Research paper thumbnail of Applying Association-Rule Techniques and Artificial Neural Networks to Product Development

Journal of the Chinese Institute of Industrial Engineers, 2003

With the help of advanced technology, product life cycle becomes shorter and shorter. Concurrent ... more With the help of advanced technology, product life cycle becomes shorter and shorter. Concurrent Engineering (CE), contrast to Sequential Engineering, is a product development paradigm that considers all product life cycle activities at a time to shorten design phase and lower the cost. The activities include manufacturing, assembling, reliability, and recycling. Although CE can condense time-to-market and increases competitiveness of new products, it is found that current CE practice is not enough in ...

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Research paper thumbnail of Parametric analysis of bi-criterion single machine scheduling with a learning effect

International Journal of Innovative Computing, Information and Control, 2008

Abstract. In a manufacturing system workers are involved in doing the same job or activity repeat... more Abstract. In a manufacturing system workers are involved in doing the same job or activity repeatedly. Hence, the workers start learning more about the job or activity. Because of the learning, the time to complete the job or activity starts decreasing, which is known as “learning effect.” In this paper, we present a parametric analysis of bi-criterion single machine scheduling problem of n jobs with a learning effect. The two objectives considered are the total completion time (TC) and total absolute differences in completion times (T ...

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Research paper thumbnail of Genetic algorithm and case-based reasoning applied in production scheduling

STUDIES IN FUZZINESS AND SOFT COMPUTING, Nov 23, 2004

Summary. In this chapter, a case study of hybrid systems with case-based reasoning (CBR) and gene... more Summary. In this chapter, a case study of hybrid systems with case-based reasoning (CBR) and genetic algorithm for production scheduling is presented. The basics of case-based reasoning and production scheduling will first be presented. A casebased genetic algorithm (CBGA) is then developed to deal with the single machine scheduling problem considering the release time. The objective of case study is to minimize the total weighted completion time. CBGA first retrieves similar cases from the case base, and then incorporates these ...

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Research paper thumbnail of A guided memetic algorithm with probabilistic models

International Journal of Innovative Computing, Information and Control, 2009

Page 1. International Journal of Innovative Computing, Information and Control ICIC International... more Page 1. International Journal of Innovative Computing, Information and Control ICIC International c 2009 ISSN 1349-4198 Volume 5, Number 12(B), December 2009 pp. 4753–4764 A GUIDED MEMETIC ALGORITHM WITH PROBABILISTIC MODELS Shih-Hsin Chen 1 , Pei-Chann Chang 2 , Qingfu Zhang 3 and Chin-Bin Wang 1 1Department of Electronic Commerce Management Nanhua University No. 32, Chungkeng, Dalin, Chiayi 62248, Taiwan { shihhsin; cbwang }@mail.nhu.edu.tw ...

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Research paper thumbnail of Scheduling< i> n</i> jobs on one machine to minimize the maximum lateness with a minimum number of tardy jobs

Computers & industrial engineering, Sep 30, 2001

This study considers the problem of scheduling n jobs, each job having an arrival time, a process... more This study considers the problem of scheduling n jobs, each job having an arrival time, a processing time and a due date, on a single machine with the dual objective of minimizing the maximum lateness subject to obtaining a minimum number of tardy jobs. A simple procedure is introduced to identify two critical jobs from which the maximum lateness is generated for a given sequence. The sequence of jobs between two critical jobs inclusive is called the critical path. On the basis of the critical path, Carlier's binary branching rule is ...

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Research paper thumbnail of A rescheduling procedure for manufacturing systems under random disruptions

Short to medium term schedules of a manufacturing system are often produced a priori in order to ... more Short to medium term schedules of a manufacturing system are often produced a priori in order to direct production operations and to support other planning activities such as tooling, raw material delivery and resource allocation. Unfortunately, as soon as the a priori schedule is released to the shop, myriad disturbances will arise which render the schedule obsolete.“Rescheduling” is a means of restoring the operations schedule when such a disruption has occurred. Complications arise when schedule changes induce major cost ...

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Research paper thumbnail of Detection of Hypometabolic Lesions in Cerebral Vascular Disease Using …

核子醫學雜誌

Received 11/11/2004; revised 12/1/2004; accepted 12/2/2004. For correspondence or reprints contac... more Received 11/11/2004; revised 12/1/2004; accepted 12/2/2004. For correspondence or reprints contact: Chen-Ming Sun, Department of Nuclear Medicine, Chung Shan Medical University Hospital, 110 Section 1, Chen-Kuo North Road, Taichung 402, Taiwan. Tel: (886)4- ...

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Research paper thumbnail of Production planning optimization for manufacturing and remanufacturing system in stochastic environment

Abstract This article studies a single item dynamic lot sizing problem with manufacturing and rem... more Abstract This article studies a single item dynamic lot sizing problem with manufacturing and remanufacturing provisions. The demands and returns are considered as both stochastic and deterministic. There are two inventories recoverable and serviceable inventory. We developed a dynamic programming based model with objective to determine the quantities that have to be manufactured or re-manufactured at each period in order to minimize the total cost, including production cost, holding cost for returns and finished goods, and ...

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Research paper thumbnail of Ambulance 12-Lead Electrocardiography Transmission via Cell Phone Technology to Cardiologists

This study demonstrates transmission of 12-lead electrocardiography (ECG) in an ambulance to the ... more This study demonstrates transmission of 12-lead electrocardiography (ECG) in an ambulance to the cell phone of the attendant emergency medical technician and then to the hospital and to cell phones of off-site cardiologists. The emergency medical technician cell phone receives Extensible Markup Language files generated by a Phillips Extensible Markup Language ECG instrument via Wi-Fi-based wireless network and then sends them to an ECG-processing server at the hospital over the mobile telephone network. After reducing ECG noises and artifacts, the server converts files to Digital Imaging and Communications in Medicine-based ECG reports stored in Picture Archiving and Communication System. These reports are sent to the cell phones of off-site cardiologists. Consequently, on-site Emergency Department physicians and off-site cardiologists can discuss ECG reports via Picture Archiving and Communication System on their computers or cell phones to prepare for the most appropriate treatment while the patient is on the way to the hospital. In conclusion, this 12-lead ECG transmission e-technology expands the functions of a 12-lead ECG instrument and facilitates more efficient prehospital cardiac care.

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Research paper thumbnail of Impacts of forecast, inventory policy, and lead time on supply chain inventory-A numerical study

This paper first proposes the use of metaheuristic, to combine with exponential smoothing methods... more This paper first proposes the use of metaheuristic, to combine with exponential smoothing methods, in forecasting future demands and in determining the optimal inventory policy values for each node in a supply chain network based on historical demand or order streams without the need of any prior knowledge about the demand distribution or distribution fitting. The effects of five demand forecasting methods, two inventory policies, and three lead times on the total inventory cost of a 3-echelon serial supply chain system ...

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Research paper thumbnail of Density-based microaggregation for statistical disclosure control

Protection of personal data in statistical databases has recently become a major societal concern... more Protection of personal data in statistical databases has recently become a major societal concern. Statistical disclosure control (SDC) is often applied to statistical databases before they are released for public use. Microaggregation for SDC is a family of methods to protect microdata (ie, records on individuals and/or companies) from individual identification. Microaggregation works by partitioning the microdata into groups of at least k records and, then, replacing the records in each group with the centroid of the group. An optimal ...

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Research paper thumbnail of Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problems

The goal of this research is to deduce important guidelines for designing effective Estimation of... more The goal of this research is to deduce important guidelines for designing effective Estimation of Distribution Algorithms (EDAs). These guidelines will enhance the designed algorithms in balancing the intensification and diversification effects of EDAs. Most EDAs have the advantage of incorporating probabilistic models which can generate chromosomes with the non-disruption of salient genes. This advantage, however, may cause the problem of the premature convergence of EDAs resulted in the probabilistic models no longer generating ...

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Research paper thumbnail of Integrating dominance properties with genetic algorithms for parallel machine scheduling problems with setup times

This paper deals with an unrelated parallel machine scheduling problem with the objective of mini... more This paper deals with an unrelated parallel machine scheduling problem with the objective of minimizing the makespan. There are machine-dependent and job sequence-dependent setup times and all jobs are available at time zero. This is a NP-hard problem and a set of dominance properties are developed including inter-machine (ie, adjacent and non-adjacent interchange) and intra-machine switching properties as necessary conditions of job sequencing orders in an optimal schedule. As a result, by applying these dominance ...

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Research paper thumbnail of Generating artificial chromosomes with probability control in genetic algorithm for machine scheduling problems

Abstract In this paper, a novel genetic algorithm is developed by generating artificial chromosom... more Abstract In this paper, a novel genetic algorithm is developed by generating artificial chromosomes with probability control to solve the machine scheduling problems. Generating artificial chromosomes for Genetic Algorithm (ACGA) is closely related to Evolutionary Algorithms Based on Probabilistic Models (EAPM). The artificial chromosomes are generated by a probability model that extracts the gene information from current population. ACGA is considered as a hybrid algorithm because both the conventional ...

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Research paper thumbnail of Exploring the Links between Competitive Advantage and Enterprise Resource Planning (ERP) Upgrade Decision: A Case Study Approach

The complexities in making an ERP upgrade decision have been widely cited in the trade press. To ... more The complexities in making an ERP upgrade decision have been widely cited in the trade press. To the client-organizations, the issues of maintenance and upgrade are continuously existing and requiring extensive attentions and efforts as far as continuous business improvement and benefit-realization are concerned. However, there is very few studies dedicated to provide better understanding of how a firm considers an ERP upgrade decision. Competitive advantage has often been cited and associated with upgrade ...

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Research paper thumbnail of A neural network with a case based dynamic window for stock trading prediction

Expert Systems with Applications, 2009

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Research paper thumbnail of Combining SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory

This paper presents a novel approach by combining SOM and fuzzy rule base for flow time predictio... more This paper presents a novel approach by combining SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory. Flow time of a new order is highly related to the shop floor status; however, the semiconductor manufacturing processes are highly complicated and involve more than hundred of production steps. There is no governing function identified so far among the flow time of a new order and these shop flow status.

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Research paper thumbnail of A hybrid system integrating a wavelet and TSK fuzzy rules for stock price forecasting

Abstract The prediction of future time series values based on past and present information is ver... more Abstract The prediction of future time series values based on past and present information is very useful and necessary for various industrial and financial applications. In this study, a novel approach that integrates the wavelet and Takagi-Sugeno-Kang (TSK)-fuzzy-rule-based systems for stock price prediction is developed. A wavelet transform using the Haar wavelet will be applied to decompose the time series in the Haar basis.

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