Min-chun Yu - Academia.edu (original) (raw)

Papers by Min-chun Yu

Research paper thumbnail of Robo-advisor based on unified theory of acceptance and use of technology

Asia Pacific Journal of Marketing and Logistics

PurposeFollowing the advancement of financial technology (FinTech) in modern society to assist in... more PurposeFollowing the advancement of financial technology (FinTech) in modern society to assist investment decisions, robo-advisers had become widely used in mean-variance analyses to allow investors to formulate efficiently diversified investment portfolios. However, the concept of robo-advisers is new, and few studies have addressed issues related to them. To help readers to better understand robo-advisor adoption by a wide range of potential customers, this study explores integrated models of the attitudes (ATT) and behavioural intentions (BI) of users towards robo-advisors.Design/methodology/approachA survey was used to gather data to determine how the unified theory of acceptance and use of technology (UTAUT) applies to robo-advisors. A total of 242 valid questionnaires were collected.FindingsThe results of our study show that performance expectations (PE), effort expectancy (EE), and social influences (SI) may have indirect influences on robo-advisor behavioural intention (BI) ...

Research paper thumbnail of Robo-advisor based on unified theory of acceptance and use of technology

Asia Pacific Journal of Marketing and Logistics

PurposeFollowing the advancement of financial technology (FinTech) in modern society to assist in... more PurposeFollowing the advancement of financial technology (FinTech) in modern society to assist investment decisions, robo-advisers had become widely used in mean-variance analyses to allow investors to formulate efficiently diversified investment portfolios. However, the concept of robo-advisers is new, and few studies have addressed issues related to them. To help readers to better understand robo-advisor adoption by a wide range of potential customers, this study explores integrated models of the attitudes (ATT) and behavioural intentions (BI) of users towards robo-advisors.Design/methodology/approachA survey was used to gather data to determine how the unified theory of acceptance and use of technology (UTAUT) applies to robo-advisors. A total of 242 valid questionnaires were collected.FindingsThe results of our study show that performance expectations (PE), effort expectancy (EE), and social influences (SI) may have indirect influences on robo-advisor behavioural intention (BI) ...

Research paper thumbnail of Assessment of Performance Management of European Freight Transportation Industry

International journal of engineering research and technology, 2015

Nowadays, freight transportation has great contribution to the development of foreign trade since... more Nowadays, freight transportation has great contribution to the development of foreign trade since it can high profit to each logistics company. Therefore, optimizing performance to get the best profit of these companies is crucial. This paper collects data from financial reports of logistic companies in European nations from 2011 to 2013, and uses DEA method to figure out key factors impacting on performance in order to propose solutions for the companies. After analyzing, there are significant rises in the numbers of Catch-up, Frontier and Malmquist, which indicate that the profits of the companies increase. The results indicate that good investment in technique brings a low-cost transportation system as well as better service quality to customers. In short, this research can help logistics companies plan strategies in the future and enhance the competitiveness to the rivals in global economic volatility.

Research paper thumbnail of An integrated forecasting model for the coffee bean supply chain

Applied Economics, 2021

ABSTRACT Coffee is the most traded commodity after petroleum. The Vietnamese coffee bean industry... more ABSTRACT Coffee is the most traded commodity after petroleum. The Vietnamese coffee bean industry has raised concerns lately over an inefficient coffee value chain; bets on coffee price uncertainty are increasing worldwide in the current. Accurate optimization of coffee bean prices helps manufacturers to control an unpredictable market and upgrade cooperativeness in sustainable agriculture. The authors proposed a forecasting method to deal with demand volatility and uncertainty in volumes and coffee bean prices. In this paper, we applied the forecasting nonlinear grey Bernoulli model (NGBM) (1,1). NGBM (1,1), which is based on the parameter optimization algorithm, can increase the precision of predictions. NGBM (1,1) was integrated with Fourier residual modification model to forecast coffee bean price, which was a crucial factor in the Vietnamese coffee bean supply chain. The price of coffee beans was calculated using a differential equation in an uncertain system, along with actual data collected over the past six years. The results of this study demonstrate that an integrated forecasting model is an effective forecasting method. This research can help companies to control risks that come with uncertain coffee prices and reduce risks in the sustainable agriculture supply chain.

Research paper thumbnail of Exploring Factors Surrounding Students’ Entrepreneurial Intentions in Medical Informatics: The Theory of Planning Behavior Perspective

Frontiers in Psychology, 2020

Research paper thumbnail of Energy Use Efficiency Past-to-Future Evaluation: An International Comparison

Energies, 2019

Despite the many benefits that energy consumption brings to the economy, consuming energy also le... more Despite the many benefits that energy consumption brings to the economy, consuming energy also leads nations to expend more resources on environmental pollution. Therefore, energy efficiency has been proposed as a solution to improve national economic competitiveness and sustainability. However, the growth in energy demand is accelerating while policy efforts to boost energy efficiency are slowing. To solve this problem, the efficiency gains in countries where energy consumption efficiency is of the greatest concern such as China, India, the United States, and Europe, especially, emerging economies, is central. Additionally, governments must take greater policy actions. Therefore, this paper studied 25 countries from Asia, the Americas, and Europe to develop a method combining the grey method (GM) and data envelopment analysis (DEA) slack-based measure model (SMB) to measure and forecast the energy efficiency, so that detailed energy efficiency evaluation can be made from the past t...

Research paper thumbnail of Integrating a mobile health applications for self-management to enhance Telecare system

Telematics and Informatics, 2018

Research paper thumbnail of Measuring cash flow and overdraft for fuzzy project networks with overlapping activities

JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2017

Overlapping activities with imprecise durations to accelerate schedules has an impact on scheduli... more Overlapping activities with imprecise durations to accelerate schedules has an impact on scheduling a con­struction project. The project may need to be rescheduled to suit the available overdraft limitation rather than to adopt the least total cost schedule. However, past research has seldom conducted a risk analysis on the project cash flow and overdraft requirements for projects with overlapping activities in a fuzzy environment. This research uses fuzzy DSM-based scheduling and proposes an algorithm to calculate the cash flow and overdraft at different risk levels. A numerical example is illustrated to demonstrate the algorithm’s effectiveness.

Research paper thumbnail of A comparative study of entrepreneurship education between Singapore and Taiwan

Management Decision, 2017

Purpose For entrepreneurship education issue, the purpose of this paper is to apply a novel four-... more Purpose For entrepreneurship education issue, the purpose of this paper is to apply a novel four-step method of comparative education research and assessment items for university-based entrepreneurship ecosystems (U-BEEs), with a specific focus on universities in Taiwan and Singapore. In this paper, entrepreneurship education development is explored, and important implications for the further improvement of entrepreneurship education are provided. Design/methodology/approach This study is based on the comparative education research method and proceeds in four steps (i.e. description, interpretation, juxtaposition, and comparison). The U-BEE items are applied to exemplify the similarities and differences of the process by which entrepreneurship education developed in two universities each in Singapore (National University of Singapore and Nanyang Technological University) and Taiwan (National Taiwan University and National Tsing Hua University). Findings From the country-based standp...

Research paper thumbnail of Design and evaluation of hospital-based business intelligence system (HBIS): A foundation for design science research methodology

Computers in Human Behavior, 2016

This paper describes the development of a hospital-based business intelligent system (HBIS) based... more This paper describes the development of a hospital-based business intelligent system (HBIS) based on a novel developmental methodology, called the design science research methodology (DSRM), and implemented in a regional general hospital in Taiwan. A design science research methodology is adopted to cover six activities: problem identification and motivation, definition of solution objectives, design and development, demonstration, evaluation, and communication. Based on the DSRM developmental method, HBIS was successfully developed and deployed in the hospital case, and a survey of users shows positive results. In addition, the support and involvement of top management in HBIS development is found to be a critical success factor, and system implementation allowed the hospital to significantly improve performance of managerial indicators for the three abovementioned dimensions. This study contributes a novel developmental methodology from the Information Systems (IS) field as a reference model for future HBIS development, along with the integration of indicators from three major managerial dimensions-NHI, hospital accreditation, and healthcare quality.

Research paper thumbnail of A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies

Sciprints, 2016

Logistics plays an important role in globalized companies and contributes to the development of f... more Logistics plays an important role in globalized companies and contributes to the development of foreign trade. A large number of external conditions, such as recession and inflation, affect logistics. Therefore, managers should find ways to improve operational performance, enabling them to increase efficiency while considering environmental sustainability due to the industry’s large scale of energy consumption. Based on data collected from the financial reports of top global logistics companies, this study uses a DEA model to calculate corporate efficiency by implementing a Grey forecasting approach to forecast future sustainability values. Consequently, the study addresses the problem of how to enhance operational performance while accounting for the impact of external conditions. This research can help logistics companies develop operation strategies in the future that will enhance their competitiveness vis-à-vis rivals in a time of global economic volatility.

Research paper thumbnail of A grey evaluation approach to measure logistics companies' performance

2016 International Conference on Applied System Innovation (ICASI), 2016

Logistics plays an important role in globalized companies, and contributes to the development of ... more Logistics plays an important role in globalized companies, and contributes to the development of foreign trade. A large number of external conditions such as recession and inflation affect logistics. Therefore, managers should find ways to improve operational performance, enabling them to increase profits. Based on data collected from the financial reports of top global logistics companies, this study uses a Grey forecasting approach to forecast future input and output values. Consequently, the study addresses the problem of how to enhance operational performance while accounting for the impact of external conditions. This research can help logistics companies develop operation strategies in the future that will enhance their competitiveness vis-a-vis rivals in a time of global economic volatility.

Research paper thumbnail of ResearchGate: An effective altmetric indicator for active researchers?

Computers in Human Behavior, 2016

Research paper thumbnail of Measuring Service Quality via a Fuzzy Analytical Approach

International Journal of Fuzzy Systems, 2015

Service quality plays an important role to pursue excellence of total quality management. Measure... more Service quality plays an important role to pursue excellence of total quality management. Measurement of service quality requires criteria that are not only subjective but also intangible. This study proposes a Fuzzy Analytic approach for the measurement of service quality while making use of the fuzzy nature of attitude measurement and taking into consideration the dependency among several criteria. An integration of fuzzy AHP and ANP is utilized to deal with various relationships among evaluation criteria. Service quality for a Taiwanese commercial bank is measured by the proposed method. Appropriate criteria for the bank's service quality are developed based on existing literature and interviews of the bank's managers. Factor analysis shows that the service quality is composed by employee skills, accessibility, and tangibility. The fuzzy approach is then implemented to calculate the weights of criteria based on the relationship among them. The overall service quality can be measured by summing up the weighted score. The proposed approach is found useful to measure service quality in accordance with real world situation.

Research paper thumbnail of Design of One-Sided Screening Specifications for Multi-characteristic Product

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)

ABSTRACT Screening procedure is one of the effective approaches for quality assurance. Most resea... more ABSTRACT Screening procedure is one of the effective approaches for quality assurance. Most researches study in the situation of single characteristic. However, many products have more than one quality characteristics. This research examined a multi-characteristic screening procedure using multiple screening variables. An extended OMS procedure using a heuristic algorithm is employed to reach the required average outgoing quality (AOQ) or conforming rate. Then two optimal models, namely the individual cut and linear cut approaches, are proposed to determine the optimal cutoff points of screening variables by maximizing the selected rate under a prespecified AOQ or conforming rate. An example of a complete inspection process is presented to illustrate the use of the proposed models

Research paper thumbnail of A soft time-windowed mechanism for vendor selection model

Journal of Information and Optimization Sciences, 2011

ABSTRACT This paper presents a vendor selection model for buyers practicing Just-in-time manageme... more ABSTRACT This paper presents a vendor selection model for buyers practicing Just-in-time management strategy. Five vendor evaluation criteria including quality, delivery, net price, geographical location, and production capacity are utilized for the selection of vendors and determination of associated purchasing quantities. A soft time window mechanism is incorporated to allow purchased parts been delivered within a grace period of time with a specifi ed penalty function. A mixed-integer programming model is developed for this vendor selection problem. The proposed model encourages the buyer to select vendors capable of providing quality in-time products which will minimize the total cost of purchasing, quality, transportation, and penalty charge for violating the delivery time window. An illustrative example is given to demonstrate the implementation of the time-window model.

Research paper thumbnail of A two-phase approach for jointly determining the lot size and delivery policy in a vendor-buyer integrated system with rework

Journal of Information and Optimization Sciences, 2011

This paper presents a two-phase algebraic approach for jointly determining the lot size and deliv... more This paper presents a two-phase algebraic approach for jointly determining the lot size and delivery policy in a vendor-buyer integrated system with rework. Conventional method uses the diff erential calculus for solving production-shipment problem with the need for proving optimality fi rst on the system cost function. This study proposes a two-phase algebraic solution procedure to derive the optimal lot size as well as optimal number of deliveries without using derivatives. The proposed approach enables practitioners who maybe without suff icient knowledge of calculus to understand such a specifi c real world problem with ease.

Research paper thumbnail of An advanced CMII-based engineering change management framework: the integration of PLM and ERP perspectives

International Journal of Production Research, 2014

The accuracy of the Content should not be relied upon and should be independently verified with p... more The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden.

Research paper thumbnail of Multi-criteria ABC analysis using artificial-intelligence-based classification techniques

Expert Systems with Applications, 2011

ABC analysis is a popular and effective method used to classify inventory items into specific cat... more ABC analysis is a popular and effective method used to classify inventory items into specific categories that can be managed and controlled separately. Conventional ABC analysis classifies inventory items three categories: A, B, or C based on annual dollar usage of an inventory item. Multi-criteria inventory classification has been proposed by a number of researchers in order to take other important criteria into consideration. These researchers have compared artificial-intelligence (AI)-based classification techniques with traditional multiple discriminant analysis (MDA). Examples of these AI-based techniques include support vector machines (SVMs), backpropagation networks (BPNs), and the k-nearest neighbor (k-NN) algorithm. To test the effectiveness of these techniques, classification results based on four benchmark techniques are compared. The results show that AI-based techniques demonstrate superior accuracy to MDA. Statistical analysis reveals that SVM enables more accurate classification than other AI-based techniques. This finding suggests the possibility of implementing AI-based techniques for multi-criteria ABC analysis in enterprise resource planning (ERP) systems.

Research paper thumbnail of A multi-objective approach to supply chain visibility and risk

European Journal of Operational Research, 2014

This paper investigates the twin effects of supply chain visibility (SCV) and supply chain risk (... more This paper investigates the twin effects of supply chain visibility (SCV) and supply chain risk (SCR) on supply chain performance. Operationally, SCV has been linked to the capability of sharing timely and accurate information on exogenous demand, quantity and location of inventory, transport related cost, and other logistics activities throughout an entire supply chain. Similarly, SCR can be viewed as the likelihood that an adverse event has occurred during a certain epoch within a supply chain and the associated consequences of that event which affects supply chain performance. Given the multi-faceted attributes of the decision making process which involves many stages, objectives, and stakeholders, it beckons research into this aspect of the supply chain to utilize a fuzzy multi-objective decision making approach to model SCV and SCR from an operational perspective. Hence, our model incorporates the objectives of SCV maximization, SCR minimization, and cost minimization under the constraints of budget, customer demand, production capacity, and supply availability. A numerical example is used to demonstrate the applicability of the model. Our results suggest that decision makers tend to mitigate SCR first then enhance SCV.

Research paper thumbnail of Robo-advisor based on unified theory of acceptance and use of technology

Asia Pacific Journal of Marketing and Logistics

PurposeFollowing the advancement of financial technology (FinTech) in modern society to assist in... more PurposeFollowing the advancement of financial technology (FinTech) in modern society to assist investment decisions, robo-advisers had become widely used in mean-variance analyses to allow investors to formulate efficiently diversified investment portfolios. However, the concept of robo-advisers is new, and few studies have addressed issues related to them. To help readers to better understand robo-advisor adoption by a wide range of potential customers, this study explores integrated models of the attitudes (ATT) and behavioural intentions (BI) of users towards robo-advisors.Design/methodology/approachA survey was used to gather data to determine how the unified theory of acceptance and use of technology (UTAUT) applies to robo-advisors. A total of 242 valid questionnaires were collected.FindingsThe results of our study show that performance expectations (PE), effort expectancy (EE), and social influences (SI) may have indirect influences on robo-advisor behavioural intention (BI) ...

Research paper thumbnail of Robo-advisor based on unified theory of acceptance and use of technology

Asia Pacific Journal of Marketing and Logistics

PurposeFollowing the advancement of financial technology (FinTech) in modern society to assist in... more PurposeFollowing the advancement of financial technology (FinTech) in modern society to assist investment decisions, robo-advisers had become widely used in mean-variance analyses to allow investors to formulate efficiently diversified investment portfolios. However, the concept of robo-advisers is new, and few studies have addressed issues related to them. To help readers to better understand robo-advisor adoption by a wide range of potential customers, this study explores integrated models of the attitudes (ATT) and behavioural intentions (BI) of users towards robo-advisors.Design/methodology/approachA survey was used to gather data to determine how the unified theory of acceptance and use of technology (UTAUT) applies to robo-advisors. A total of 242 valid questionnaires were collected.FindingsThe results of our study show that performance expectations (PE), effort expectancy (EE), and social influences (SI) may have indirect influences on robo-advisor behavioural intention (BI) ...

Research paper thumbnail of Assessment of Performance Management of European Freight Transportation Industry

International journal of engineering research and technology, 2015

Nowadays, freight transportation has great contribution to the development of foreign trade since... more Nowadays, freight transportation has great contribution to the development of foreign trade since it can high profit to each logistics company. Therefore, optimizing performance to get the best profit of these companies is crucial. This paper collects data from financial reports of logistic companies in European nations from 2011 to 2013, and uses DEA method to figure out key factors impacting on performance in order to propose solutions for the companies. After analyzing, there are significant rises in the numbers of Catch-up, Frontier and Malmquist, which indicate that the profits of the companies increase. The results indicate that good investment in technique brings a low-cost transportation system as well as better service quality to customers. In short, this research can help logistics companies plan strategies in the future and enhance the competitiveness to the rivals in global economic volatility.

Research paper thumbnail of An integrated forecasting model for the coffee bean supply chain

Applied Economics, 2021

ABSTRACT Coffee is the most traded commodity after petroleum. The Vietnamese coffee bean industry... more ABSTRACT Coffee is the most traded commodity after petroleum. The Vietnamese coffee bean industry has raised concerns lately over an inefficient coffee value chain; bets on coffee price uncertainty are increasing worldwide in the current. Accurate optimization of coffee bean prices helps manufacturers to control an unpredictable market and upgrade cooperativeness in sustainable agriculture. The authors proposed a forecasting method to deal with demand volatility and uncertainty in volumes and coffee bean prices. In this paper, we applied the forecasting nonlinear grey Bernoulli model (NGBM) (1,1). NGBM (1,1), which is based on the parameter optimization algorithm, can increase the precision of predictions. NGBM (1,1) was integrated with Fourier residual modification model to forecast coffee bean price, which was a crucial factor in the Vietnamese coffee bean supply chain. The price of coffee beans was calculated using a differential equation in an uncertain system, along with actual data collected over the past six years. The results of this study demonstrate that an integrated forecasting model is an effective forecasting method. This research can help companies to control risks that come with uncertain coffee prices and reduce risks in the sustainable agriculture supply chain.

Research paper thumbnail of Exploring Factors Surrounding Students’ Entrepreneurial Intentions in Medical Informatics: The Theory of Planning Behavior Perspective

Frontiers in Psychology, 2020

Research paper thumbnail of Energy Use Efficiency Past-to-Future Evaluation: An International Comparison

Energies, 2019

Despite the many benefits that energy consumption brings to the economy, consuming energy also le... more Despite the many benefits that energy consumption brings to the economy, consuming energy also leads nations to expend more resources on environmental pollution. Therefore, energy efficiency has been proposed as a solution to improve national economic competitiveness and sustainability. However, the growth in energy demand is accelerating while policy efforts to boost energy efficiency are slowing. To solve this problem, the efficiency gains in countries where energy consumption efficiency is of the greatest concern such as China, India, the United States, and Europe, especially, emerging economies, is central. Additionally, governments must take greater policy actions. Therefore, this paper studied 25 countries from Asia, the Americas, and Europe to develop a method combining the grey method (GM) and data envelopment analysis (DEA) slack-based measure model (SMB) to measure and forecast the energy efficiency, so that detailed energy efficiency evaluation can be made from the past t...

Research paper thumbnail of Integrating a mobile health applications for self-management to enhance Telecare system

Telematics and Informatics, 2018

Research paper thumbnail of Measuring cash flow and overdraft for fuzzy project networks with overlapping activities

JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2017

Overlapping activities with imprecise durations to accelerate schedules has an impact on scheduli... more Overlapping activities with imprecise durations to accelerate schedules has an impact on scheduling a con­struction project. The project may need to be rescheduled to suit the available overdraft limitation rather than to adopt the least total cost schedule. However, past research has seldom conducted a risk analysis on the project cash flow and overdraft requirements for projects with overlapping activities in a fuzzy environment. This research uses fuzzy DSM-based scheduling and proposes an algorithm to calculate the cash flow and overdraft at different risk levels. A numerical example is illustrated to demonstrate the algorithm’s effectiveness.

Research paper thumbnail of A comparative study of entrepreneurship education between Singapore and Taiwan

Management Decision, 2017

Purpose For entrepreneurship education issue, the purpose of this paper is to apply a novel four-... more Purpose For entrepreneurship education issue, the purpose of this paper is to apply a novel four-step method of comparative education research and assessment items for university-based entrepreneurship ecosystems (U-BEEs), with a specific focus on universities in Taiwan and Singapore. In this paper, entrepreneurship education development is explored, and important implications for the further improvement of entrepreneurship education are provided. Design/methodology/approach This study is based on the comparative education research method and proceeds in four steps (i.e. description, interpretation, juxtaposition, and comparison). The U-BEE items are applied to exemplify the similarities and differences of the process by which entrepreneurship education developed in two universities each in Singapore (National University of Singapore and Nanyang Technological University) and Taiwan (National Taiwan University and National Tsing Hua University). Findings From the country-based standp...

Research paper thumbnail of Design and evaluation of hospital-based business intelligence system (HBIS): A foundation for design science research methodology

Computers in Human Behavior, 2016

This paper describes the development of a hospital-based business intelligent system (HBIS) based... more This paper describes the development of a hospital-based business intelligent system (HBIS) based on a novel developmental methodology, called the design science research methodology (DSRM), and implemented in a regional general hospital in Taiwan. A design science research methodology is adopted to cover six activities: problem identification and motivation, definition of solution objectives, design and development, demonstration, evaluation, and communication. Based on the DSRM developmental method, HBIS was successfully developed and deployed in the hospital case, and a survey of users shows positive results. In addition, the support and involvement of top management in HBIS development is found to be a critical success factor, and system implementation allowed the hospital to significantly improve performance of managerial indicators for the three abovementioned dimensions. This study contributes a novel developmental methodology from the Information Systems (IS) field as a reference model for future HBIS development, along with the integration of indicators from three major managerial dimensions-NHI, hospital accreditation, and healthcare quality.

Research paper thumbnail of A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies

Sciprints, 2016

Logistics plays an important role in globalized companies and contributes to the development of f... more Logistics plays an important role in globalized companies and contributes to the development of foreign trade. A large number of external conditions, such as recession and inflation, affect logistics. Therefore, managers should find ways to improve operational performance, enabling them to increase efficiency while considering environmental sustainability due to the industry’s large scale of energy consumption. Based on data collected from the financial reports of top global logistics companies, this study uses a DEA model to calculate corporate efficiency by implementing a Grey forecasting approach to forecast future sustainability values. Consequently, the study addresses the problem of how to enhance operational performance while accounting for the impact of external conditions. This research can help logistics companies develop operation strategies in the future that will enhance their competitiveness vis-à-vis rivals in a time of global economic volatility.

Research paper thumbnail of A grey evaluation approach to measure logistics companies' performance

2016 International Conference on Applied System Innovation (ICASI), 2016

Logistics plays an important role in globalized companies, and contributes to the development of ... more Logistics plays an important role in globalized companies, and contributes to the development of foreign trade. A large number of external conditions such as recession and inflation affect logistics. Therefore, managers should find ways to improve operational performance, enabling them to increase profits. Based on data collected from the financial reports of top global logistics companies, this study uses a Grey forecasting approach to forecast future input and output values. Consequently, the study addresses the problem of how to enhance operational performance while accounting for the impact of external conditions. This research can help logistics companies develop operation strategies in the future that will enhance their competitiveness vis-a-vis rivals in a time of global economic volatility.

Research paper thumbnail of ResearchGate: An effective altmetric indicator for active researchers?

Computers in Human Behavior, 2016

Research paper thumbnail of Measuring Service Quality via a Fuzzy Analytical Approach

International Journal of Fuzzy Systems, 2015

Service quality plays an important role to pursue excellence of total quality management. Measure... more Service quality plays an important role to pursue excellence of total quality management. Measurement of service quality requires criteria that are not only subjective but also intangible. This study proposes a Fuzzy Analytic approach for the measurement of service quality while making use of the fuzzy nature of attitude measurement and taking into consideration the dependency among several criteria. An integration of fuzzy AHP and ANP is utilized to deal with various relationships among evaluation criteria. Service quality for a Taiwanese commercial bank is measured by the proposed method. Appropriate criteria for the bank's service quality are developed based on existing literature and interviews of the bank's managers. Factor analysis shows that the service quality is composed by employee skills, accessibility, and tangibility. The fuzzy approach is then implemented to calculate the weights of criteria based on the relationship among them. The overall service quality can be measured by summing up the weighted score. The proposed approach is found useful to measure service quality in accordance with real world situation.

Research paper thumbnail of Design of One-Sided Screening Specifications for Multi-characteristic Product

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)

ABSTRACT Screening procedure is one of the effective approaches for quality assurance. Most resea... more ABSTRACT Screening procedure is one of the effective approaches for quality assurance. Most researches study in the situation of single characteristic. However, many products have more than one quality characteristics. This research examined a multi-characteristic screening procedure using multiple screening variables. An extended OMS procedure using a heuristic algorithm is employed to reach the required average outgoing quality (AOQ) or conforming rate. Then two optimal models, namely the individual cut and linear cut approaches, are proposed to determine the optimal cutoff points of screening variables by maximizing the selected rate under a prespecified AOQ or conforming rate. An example of a complete inspection process is presented to illustrate the use of the proposed models

Research paper thumbnail of A soft time-windowed mechanism for vendor selection model

Journal of Information and Optimization Sciences, 2011

ABSTRACT This paper presents a vendor selection model for buyers practicing Just-in-time manageme... more ABSTRACT This paper presents a vendor selection model for buyers practicing Just-in-time management strategy. Five vendor evaluation criteria including quality, delivery, net price, geographical location, and production capacity are utilized for the selection of vendors and determination of associated purchasing quantities. A soft time window mechanism is incorporated to allow purchased parts been delivered within a grace period of time with a specifi ed penalty function. A mixed-integer programming model is developed for this vendor selection problem. The proposed model encourages the buyer to select vendors capable of providing quality in-time products which will minimize the total cost of purchasing, quality, transportation, and penalty charge for violating the delivery time window. An illustrative example is given to demonstrate the implementation of the time-window model.

Research paper thumbnail of A two-phase approach for jointly determining the lot size and delivery policy in a vendor-buyer integrated system with rework

Journal of Information and Optimization Sciences, 2011

This paper presents a two-phase algebraic approach for jointly determining the lot size and deliv... more This paper presents a two-phase algebraic approach for jointly determining the lot size and delivery policy in a vendor-buyer integrated system with rework. Conventional method uses the diff erential calculus for solving production-shipment problem with the need for proving optimality fi rst on the system cost function. This study proposes a two-phase algebraic solution procedure to derive the optimal lot size as well as optimal number of deliveries without using derivatives. The proposed approach enables practitioners who maybe without suff icient knowledge of calculus to understand such a specifi c real world problem with ease.

Research paper thumbnail of An advanced CMII-based engineering change management framework: the integration of PLM and ERP perspectives

International Journal of Production Research, 2014

The accuracy of the Content should not be relied upon and should be independently verified with p... more The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden.

Research paper thumbnail of Multi-criteria ABC analysis using artificial-intelligence-based classification techniques

Expert Systems with Applications, 2011

ABC analysis is a popular and effective method used to classify inventory items into specific cat... more ABC analysis is a popular and effective method used to classify inventory items into specific categories that can be managed and controlled separately. Conventional ABC analysis classifies inventory items three categories: A, B, or C based on annual dollar usage of an inventory item. Multi-criteria inventory classification has been proposed by a number of researchers in order to take other important criteria into consideration. These researchers have compared artificial-intelligence (AI)-based classification techniques with traditional multiple discriminant analysis (MDA). Examples of these AI-based techniques include support vector machines (SVMs), backpropagation networks (BPNs), and the k-nearest neighbor (k-NN) algorithm. To test the effectiveness of these techniques, classification results based on four benchmark techniques are compared. The results show that AI-based techniques demonstrate superior accuracy to MDA. Statistical analysis reveals that SVM enables more accurate classification than other AI-based techniques. This finding suggests the possibility of implementing AI-based techniques for multi-criteria ABC analysis in enterprise resource planning (ERP) systems.

Research paper thumbnail of A multi-objective approach to supply chain visibility and risk

European Journal of Operational Research, 2014

This paper investigates the twin effects of supply chain visibility (SCV) and supply chain risk (... more This paper investigates the twin effects of supply chain visibility (SCV) and supply chain risk (SCR) on supply chain performance. Operationally, SCV has been linked to the capability of sharing timely and accurate information on exogenous demand, quantity and location of inventory, transport related cost, and other logistics activities throughout an entire supply chain. Similarly, SCR can be viewed as the likelihood that an adverse event has occurred during a certain epoch within a supply chain and the associated consequences of that event which affects supply chain performance. Given the multi-faceted attributes of the decision making process which involves many stages, objectives, and stakeholders, it beckons research into this aspect of the supply chain to utilize a fuzzy multi-objective decision making approach to model SCV and SCR from an operational perspective. Hence, our model incorporates the objectives of SCV maximization, SCR minimization, and cost minimization under the constraints of budget, customer demand, production capacity, and supply availability. A numerical example is used to demonstrate the applicability of the model. Our results suggest that decision makers tend to mitigate SCR first then enhance SCV.