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Industries have to integrate environmental, social, and economic aspects into their supply chain management to achieve sustainability. Hence, the industry needs to take appropriate actions in choosing the right suppliers. The aim of this study is to develop a framework for selecting sustainable suppliers by integrating quality management tools using the Kano model, Fuzzy Analytical Hierarchy Process, and Decision Matrix Method. To identify the critical sustainability criteria, the Kano model by the clustering the criteria for sustainable selection supplier was used. We then used the Fuzzy Analytical Hierarchy Process to determine the weight of each criterion and applied the Decision Matrix Method to select the most sustainable supplier. Afterward, the appropriate proposed framework was implemented in one of the palm oil industries in Indonesia to validate that the framework is applicable and useful. The study shows that the environmental dimension is the most sustainable supplier criteria followed by economy and social dimension. Quality, pollution control, and information disclosures were found to be important sub-dimensions for sustainable supplier selection.
Tsai-Chi Kuo; Muniroh Muniroh; Kristin Fau. An Integrated Kano Model, Fuzzy Analytical Hierarchy Process, and Decision Matrix for Sustainable Supplier Selection in Palm Oil Industries Indonesia, a Case Study. Processes 2021, 9, 1078 .
AMA StyleTsai-Chi Kuo, Muniroh Muniroh, Kristin Fau. An Integrated Kano Model, Fuzzy Analytical Hierarchy Process, and Decision Matrix for Sustainable Supplier Selection in Palm Oil Industries Indonesia, a Case Study. Processes. 2021; 9 (6):1078.
Chicago/Turabian StyleTsai-Chi Kuo; Muniroh Muniroh; Kristin Fau. 2021. "An Integrated Kano Model, Fuzzy Analytical Hierarchy Process, and Decision Matrix for Sustainable Supplier Selection in Palm Oil Industries Indonesia, a Case Study." Processes 9, no. 6: 1078.
Due date control (DDC) can be regarded as one of the competitive abilities of an enterprise. Based on advanced connected technologies implemented in Industry 4.0, DDC can collect processing information accurately and in real time to be integrated with production systems. It is an intelligent event-driven feedback control that can be designed to control process plans. In this study, a work-in-process alert system framework is developed based on a machine-to-machine communication approach. Subsequently, a manufacturer can monitor and perform DDC for each process based on the buffer control of the theory of constraints. The latter is a methodology for identifying the most important limiting factor, such as constraints, that prevents the attainment of a goal and then systematically improves that constraint until it is no longer the limiting factor. Furthermore, using hybrid strategies of Industry 3.5, a material planner can collaborate with suppliers to improve delivery performance. This approach is effective in semiconductor manufacturing.
Tsai-Chi Kuo; Ni-Ying Hsu; Tzu Yi Li; Chin-Jung Chao. Industry 4.0 enabling manufacturing competitiveness: Delivery performance improvement based on theory of constraints. Journal of Manufacturing Systems 2021, 60, 152 -161.
AMA StyleTsai-Chi Kuo, Ni-Ying Hsu, Tzu Yi Li, Chin-Jung Chao. Industry 4.0 enabling manufacturing competitiveness: Delivery performance improvement based on theory of constraints. Journal of Manufacturing Systems. 2021; 60 ():152-161.
Chicago/Turabian StyleTsai-Chi Kuo; Ni-Ying Hsu; Tzu Yi Li; Chin-Jung Chao. 2021. "Industry 4.0 enabling manufacturing competitiveness: Delivery performance improvement based on theory of constraints." Journal of Manufacturing Systems 60, no. : 152-161.
With the growing emphasis on corporate social responsibility (CSR) practices, airlines are beginning to question whether the implementation of CSR activities will increase costs or affect corporate financial performance. Some researchers argue that CSR is positively associated with corporate financial performance, while others oppose this view. This study tracked the environmental, social, and governance (ESG) performance indicators and the short-term financial performance of 30 airlines worldwide for five years with data from the Thomson Reuters Eikon ESG database. A multilevel quadratic growth model was used to investigate the impact of airlines’ disclosure of ESG performance indicators. The results revealed that in the initial stages of implementation of ESG-based practices, airlines demonstrate a downward trend in return on assets. However, it gradually increases after a period of incorporation and implementation. Based on this result, airlines should prioritize the selection of key performance indicators for the implementation of CSR toward sustainability.
Tsai-Chi Kuo; Hsiao-Min Chen; Hsien-Mi Meng. Do corporate social responsibility practices improve financial performance? A case study of airline companies. Journal of Cleaner Production 2021, 310, 127380 .
AMA StyleTsai-Chi Kuo, Hsiao-Min Chen, Hsien-Mi Meng. Do corporate social responsibility practices improve financial performance? A case study of airline companies. Journal of Cleaner Production. 2021; 310 ():127380.
Chicago/Turabian StyleTsai-Chi Kuo; Hsiao-Min Chen; Hsien-Mi Meng. 2021. "Do corporate social responsibility practices improve financial performance? A case study of airline companies." Journal of Cleaner Production 310, no. : 127380.
In a circular economy, extended producer responsibility (EPR) is a regulatory approach that accounts for all environmental costs associated with a product throughout its life cycle. When considering the EPR, the regulator must (1) design an integrated framework for different stakeholders and (2) provide effective policies to create financial incentives to accelerate the circular system. Recycling funds and subsidies are the most prominent financial strategies that can either encourage or curtail the flows of recycled products. In Indonesia, a few companies provided recycling bonus s to their customers as incentives to increase the recycling rate. However, the recycling rate was not as effective as expected by the enterprise because recycling was practiced by a limited number of companies, rendering it economically unviable. The enterprises hope the government could develop a recycling fund system. In order to develop the recycling fund system, a system dynamic model was proposed and simulated to optimize the recycling funds and subsidies based on decentralized reverse supply chains. Although it is not a novelty model; however, the research show a very significant results for the government in Indonesia. This enabled a more precise, well-planned, and sustainable decision-making process for the EPR. In addition, by utilizing the system dynamic model with different scenarios in a real case study (aseptic paper packaging waste), we found that the capacity of the recycler could become the reference for the funds to be paid by the importer-producer group, wherein the recycling rate will increase with an increase in the recycling fund.
Tsai-Chi Kuo; Ni-Ying Hsu; Reza Wattimena; I-Hsuan Hong; Chin-Jung Chao; Jonathan Herlianto. Toward a circular economy: A system dynamic model of recycling framework for aseptic paper packaging waste in Indonesia. Journal of Cleaner Production 2021, 301, 126901 .
AMA StyleTsai-Chi Kuo, Ni-Ying Hsu, Reza Wattimena, I-Hsuan Hong, Chin-Jung Chao, Jonathan Herlianto. Toward a circular economy: A system dynamic model of recycling framework for aseptic paper packaging waste in Indonesia. Journal of Cleaner Production. 2021; 301 ():126901.
Chicago/Turabian StyleTsai-Chi Kuo; Ni-Ying Hsu; Reza Wattimena; I-Hsuan Hong; Chin-Jung Chao; Jonathan Herlianto. 2021. "Toward a circular economy: A system dynamic model of recycling framework for aseptic paper packaging waste in Indonesia." Journal of Cleaner Production 301, no. : 126901.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), universally recognized as COVID-19, is currently is a global issue. Our study uses multivariate regression for determining the relationship between the ambient environment and COVID-19 cases in Lima. We also forecast the pattern trajectory of COVID-19 cases with variables using an Auto-Regressive Integrated Moving Average Model (ARIMA). There is a significant association between ambient temperature and PM10 and COVID-19 cases, while no significant correlation has been seen for PM2.5. All variables in the multivariate regression model have R2 = 0.788, which describes a significant exposure to COVID-19 cases in Lima. ARIMA (1,1,1), during observation time of PM2.5, PM10, and average temperature, is found to be suitable for forecasting COVID-19 cases in Lima. This result indicates that the expected high particle concentration and low ambient temperature in the coming season will further facilitate the transmission of the coronavirus if there is no other policy intervention. A suggested sustainable policy related to ambient environment and the lessons learned from different countries to prevent future outbreaks are also discussed in this study.
Tsai-Chi Kuo; Ana Pacheco; Aditya Iswara; Denny Dermawan; Gerry Andhikaputra; Lin-Han Chiang Hsieh. Sustainable Ambient Environment to Prevent Future Outbreaks: How Ambient Environment Relates to COVID-19 Local Transmission in Lima, Peru. Sustainability 2020, 12, 9277 .
AMA StyleTsai-Chi Kuo, Ana Pacheco, Aditya Iswara, Denny Dermawan, Gerry Andhikaputra, Lin-Han Chiang Hsieh. Sustainable Ambient Environment to Prevent Future Outbreaks: How Ambient Environment Relates to COVID-19 Local Transmission in Lima, Peru. Sustainability. 2020; 12 (21):9277.
Chicago/Turabian StyleTsai-Chi Kuo; Ana Pacheco; Aditya Iswara; Denny Dermawan; Gerry Andhikaputra; Lin-Han Chiang Hsieh. 2020. "Sustainable Ambient Environment to Prevent Future Outbreaks: How Ambient Environment Relates to COVID-19 Local Transmission in Lima, Peru." Sustainability 12, no. 21: 9277.
Based on the Industry 4.0 strategy, the digitization of the supply chain enables companies to fulfill customers’ requirements more promptly. This implies that consumer procurement behaviors and demand patterns are significantly influenced by high Internet penetration, ubiquitous information availability, and rapidly growing social networks. This trend enables enterprises to start the digital transformation driven by customer requirements while integrating related enabling systems. In this research, a material resource management and allocation approach among the members of supply chain is developed, based on the information sharing. With dynamic and updated information sharing of customers’ periodic forecast demand, the manufacturers could flexibly make decisions and allocate common parts strategically to enhance its customers’ fulfillment rate by using the proposed hybrid Industry 3.5 strategy. A case study of a capital intensive semiconductor company is also illustrated for this model. The results show a scientific value of the collaborative mode of material resource management in smart supply chains that could satisfy the requisite 90 percent customer material fulfillment rate.
Tsai-Chi Kuo; Kuan Jui Chen; Wei-Jung Shiang; PoTsang B. Huang; Wilkistar Otieno; Ming-Chuan Chiu. A collaborative data-driven analytics of material resource management in smart supply chain by using a hybrid Industry 3.5 strategy. Resources, Conservation and Recycling 2020, 164, 105160 .
AMA StyleTsai-Chi Kuo, Kuan Jui Chen, Wei-Jung Shiang, PoTsang B. Huang, Wilkistar Otieno, Ming-Chuan Chiu. A collaborative data-driven analytics of material resource management in smart supply chain by using a hybrid Industry 3.5 strategy. Resources, Conservation and Recycling. 2020; 164 ():105160.
Chicago/Turabian StyleTsai-Chi Kuo; Kuan Jui Chen; Wei-Jung Shiang; PoTsang B. Huang; Wilkistar Otieno; Ming-Chuan Chiu. 2020. "A collaborative data-driven analytics of material resource management in smart supply chain by using a hybrid Industry 3.5 strategy." Resources, Conservation and Recycling 164, no. : 105160.
Production process sustainability refers to a manufacturing system in which manufacturing industries produce products in a sustainable way. In recent years, sustainability has become a major concern and challenge for manufacturing systems because of growing consciousness of the effects of their activities on the environment, society, and economy. Different organizational reports and the academic literature have proposed indicators of sustainable manufacturing that help to measure product and process sustainability. However, little of the previous research is related to employee-activity based indicators for production process sustainability. To bridge the gap, this study identified a set of indicators of production process sustainability based on direct and indirect impacts of manufacturing activities on employees, who are key resources in the entire production process, for efficiently applying a sustainability perspective. In addition, the paper provides an evaluation model for selecting relatively important indicators based on expert opinions. A fuzzy Delphi method was applied for the screening process of the decision makers (experts). A Delphi questionnaire prepared with a nine-point linguistic scale corresponding to respective linguistic variables was utilized to assess expert opinions on the importance of each indicator. These expert opinions were aggregated for each indicator by using an adopted algorithm that considers the degree of importance allocated to the decision makers, and the similarity and distance among decision maker opinions. Lastly, the key employee-activity based indicators were chosen based on the threshold value set.
Chiuhsiang Joe Lin; Tariku Tamiru Belis; Dino Caesaron; Bernard C. Jiang; Tsai Chi Kuo. Development of Sustainability Indicators for Employee-Activity Based Production Process Using Fuzzy Delphi Method. Sustainability 2020, 12, 6378 .
AMA StyleChiuhsiang Joe Lin, Tariku Tamiru Belis, Dino Caesaron, Bernard C. Jiang, Tsai Chi Kuo. Development of Sustainability Indicators for Employee-Activity Based Production Process Using Fuzzy Delphi Method. Sustainability. 2020; 12 (16):6378.
Chicago/Turabian StyleChiuhsiang Joe Lin; Tariku Tamiru Belis; Dino Caesaron; Bernard C. Jiang; Tsai Chi Kuo. 2020. "Development of Sustainability Indicators for Employee-Activity Based Production Process Using Fuzzy Delphi Method." Sustainability 12, no. 16: 6378.
A microgrid (MG) which mainly consists of distributed generators (DGs) and energy storage systems (ESSs), is deployed to supply power for local loads. Distributed generators are mostly renewable energy sources. An aggregate system with multiple battery energy storage devices that should be used to improve the reliability of power supply from these renewable energy sources in the MG, is defined as an aggregate battery energy storage system (ABESS). The ABESS is used to control the source-load power balance so that the MG can operate at high stability and reliability to supply electricity for different customers. To demonstrate the significance of the ABESS in the MG, its operation reliability will be analyzed in this paper. A systematic method is proposed to evaluate reliability performance of the ABESS under different dynamic operation cases in the MG. Specifically, an analytic approach based on Markov models is developed to assess the operation reliability of the whole ABESS. Besides the used-time-dependent failure rates, voltage-fluctuation and power-loss dependent failure rates (VF-PL DFR) of critical components of the ABESS such as bidirectional DC/DC converters, DC/AC inverters, switching and protective devices, battery modules, and battery charger/controller are also formulated and incorporated in the reliability evaluation. According to differently dynamic operation cases of a microgrid with the ABESS and photovoltaic (PV) generation systems, the VF-PL DFR of the ABESS will be variously affected. Randomly dynamic operation scenarios of the MG are analyzed including: change in load power, the intermittent and unstable operation of PV sources, on/off-grid operation modes of the microgrid, and discharging and charging states of the ABESS. Simulation test results are presented and discussed to validate that the operation reliability of the ABESS in the microgrid significantly depends on its differently dynamic operation strategies along with the applied voltage stress.
Trang Thi Pham; Tsai-Chi Kuo; Duong Minh Bui. Reliability evaluation of an aggregate battery energy storage system in microgrids under dynamic operation. International Journal of Electrical Power & Energy Systems 2019, 118, 105786 .
AMA StyleTrang Thi Pham, Tsai-Chi Kuo, Duong Minh Bui. Reliability evaluation of an aggregate battery energy storage system in microgrids under dynamic operation. International Journal of Electrical Power & Energy Systems. 2019; 118 ():105786.
Chicago/Turabian StyleTrang Thi Pham; Tsai-Chi Kuo; Duong Minh Bui. 2019. "Reliability evaluation of an aggregate battery energy storage system in microgrids under dynamic operation." International Journal of Electrical Power & Energy Systems 118, no. : 105786.
To achieve sustainability, the circular economy (CE) concept is challenging traditional linear enterprise models due to the need to manage geographically distributed product life cycle and value chains. Concurrently, Industry 4.0 is being used to bring productivity to higher levels by reducing waste and improving the efficiency of production processes via more precise real-time planning. There is significant potential to combine these two frameworks to enhance the sustainability of manufacturing sectors. This paper discusses the fundamental concepts of Industry 4.0 and explores the influential factors of Industry 4.0 that accelerate the sharing economy in the CE context via a case of electric scooters in Taiwan. The result shows Industry 4.0 can provide an enabling framework for the sharing economy in CE implementation.
Trang Thi Pham; Tsai-Chi Kuo; Ming-Lang Tseng; Raymond R. Tan; Kimhua Tan; Denny Satria Ika; Chiuhsiang Joe Lin. Industry 4.0 to Accelerate the Circular Economy: A Case Study of Electric Scooter Sharing. Sustainability 2019, 11, 6661 .
AMA StyleTrang Thi Pham, Tsai-Chi Kuo, Ming-Lang Tseng, Raymond R. Tan, Kimhua Tan, Denny Satria Ika, Chiuhsiang Joe Lin. Industry 4.0 to Accelerate the Circular Economy: A Case Study of Electric Scooter Sharing. Sustainability. 2019; 11 (23):6661.
Chicago/Turabian StyleTrang Thi Pham; Tsai-Chi Kuo; Ming-Lang Tseng; Raymond R. Tan; Kimhua Tan; Denny Satria Ika; Chiuhsiang Joe Lin. 2019. "Industry 4.0 to Accelerate the Circular Economy: A Case Study of Electric Scooter Sharing." Sustainability 11, no. 23: 6661.
Design for Sustainable Behavior (DfSB) is an emerging research area with the application to generate better design methods, to change consumer behavior, and to decrease environmental damage towards more sustainable action. Previous research has explored the product design for human behavior change of energy usage; however, little research has been done to link the interventions how people could change their act with DfSB theories. This research utilized smart/intelligent devices based on the theories of DfSB and persuasive technology to explore how behavioral decisions and social psychology match the preference and utility of public green low-carbon behavior by collecting interrelated data through eco-feedback. Furthermore, the participants could share and compare peer usage information and receive awards to encourage sustainable behaviors by using social network feedback about personal usage information. A questionnaire was also developed to measure the impact of sustainable behaviors on personal behavioral intention. This study contributes by filling in the gap of consumer behavior of energy consumption – an empirical data is collected. It was found only little effect of energy using behavior reduction could be achieved by providing energy using information. If the energy usage behavior reduction is significantly expected, a more aggressive sustainable development with behavioral intentions should be applied. This study also shows that the theory of planned behavior (TPB) and persuasive technologies can be integrated to achieve reliable results and to generate suggestions about product usage to engage DfSB.
Ming-Chuan Chiu; Tsai-Chi Kuo; Hsin-Ting Liao. Design for sustainable behavior strategies: Impact of persuasive technology on energy usage. Journal of Cleaner Production 2019, 248, 119214 .
AMA StyleMing-Chuan Chiu, Tsai-Chi Kuo, Hsin-Ting Liao. Design for sustainable behavior strategies: Impact of persuasive technology on energy usage. Journal of Cleaner Production. 2019; 248 ():119214.
Chicago/Turabian StyleMing-Chuan Chiu; Tsai-Chi Kuo; Hsin-Ting Liao. 2019. "Design for sustainable behavior strategies: Impact of persuasive technology on energy usage." Journal of Cleaner Production 248, no. : 119214.
The issue of sustainability has received substantial attention internationally. It is spreading widely through policy, industry, commerce, research, academia, and other arenas. However, most previous studies on product sustainability were conducted based on a consideration of environmental protection, economic prosperity, and social wellbeing criteria, but there was less representation of specific social wellbeing criteria. The main objective of this study was to formulate well-defined ergonomics-based criteria for product sustainability evaluation and to validate the importance of the identified factors using a fuzzy Delphi method. In this paper, ergonomics-based product sustainability factors are organized by sustainability categories and grouped into employee wellbeing, the economy, and the environment. In the context of manufacturing, evaluating product sustainability from an ergonomics perspective provides more comprehensive social dimension criteria by addressing human characteristics, behavior, performance, human interaction with a product, workplace, working environment, and the product across its life cycle. In addition, a Delphi questionnaire, designed with a nine-point scale, was applied to obtain expert opinions on the importance of each factor; the opinions were combined for each factor by considering the degree of importance assigned to the experts, and the similarities and differences between expert opinions. Finally, high-priority factors were screened from the sustainability categories based on their respective threshold value. Knowing these high-priority factors will help manufacturing industries allocate their resources accordingly for sustainability improvement.
Chiuhsiang Joe Lin; Tariku Tamiru Belis; Tsai Chi Kuo. Ergonomics-Based Factors or Criteria for the Evaluation of Sustainable Product Manufacturing. Sustainability 2019, 11, 4955 .
AMA StyleChiuhsiang Joe Lin, Tariku Tamiru Belis, Tsai Chi Kuo. Ergonomics-Based Factors or Criteria for the Evaluation of Sustainable Product Manufacturing. Sustainability. 2019; 11 (18):4955.
Chicago/Turabian StyleChiuhsiang Joe Lin; Tariku Tamiru Belis; Tsai Chi Kuo. 2019. "Ergonomics-Based Factors or Criteria for the Evaluation of Sustainable Product Manufacturing." Sustainability 11, no. 18: 4955.
Ming-Lang Tseng; Kuo-Jui Wu; Li Ma; Tsai Chi Kuo; Fuyume Sai. A hierarchical framework for assessing corporate sustainability performance using a hybrid fuzzy synthetic method-DEMATEL. Technological Forecasting and Social Change 2019, 144, 524 -533.
AMA StyleMing-Lang Tseng, Kuo-Jui Wu, Li Ma, Tsai Chi Kuo, Fuyume Sai. A hierarchical framework for assessing corporate sustainability performance using a hybrid fuzzy synthetic method-DEMATEL. Technological Forecasting and Social Change. 2019; 144 ():524-533.
Chicago/Turabian StyleMing-Lang Tseng; Kuo-Jui Wu; Li Ma; Tsai Chi Kuo; Fuyume Sai. 2019. "A hierarchical framework for assessing corporate sustainability performance using a hybrid fuzzy synthetic method-DEMATEL." Technological Forecasting and Social Change 144, no. : 524-533.
In a circular economy, an enterprise should pursue long-term business and economic opportunities for environmental and societal benefits. One of the critical issues in industries with a circular economy is the development of the reverse logistics system for semi-finished product packaging and shipping. There are several challenges while designing this system; for example, the use of reusable semi-finished product shipping boxes and a logistics system for shipping the products and returning these boxes. In this research, under the context of global manufacturing, a logistics system for reusable semi-finished product packaging in LCD panel industry is studied. The cost models of semi-finished product packaging in a traditional logistics mode and a green logistics mode are introduced. In the green logistics mode, the shipping boxes are redesigned to be reusable and capable of accommodating multiple various-sized panels simultaneously. The cost models involve material cost, shipping, and recycling cost. The economic performances of the traditional and green logistics modes at different package recycling levels are analyzed. The results show that the total cost of the green logistics mode is beneficial, always lower than that of the traditional logistics mode, even at a low recycling rate (30%). In addition, in the green mode, the material cost of shipping boxes is the most influential sector of the total cost.
Tsai-Chi Kuo; Ming-Chuan Chiu; Wu-Hsun Chung; Tzu-I Yang. The circular economy of LCD panel shipping in a packaging logistics system. Resources, Conservation and Recycling 2019, 149, 435 -444.
AMA StyleTsai-Chi Kuo, Ming-Chuan Chiu, Wu-Hsun Chung, Tzu-I Yang. The circular economy of LCD panel shipping in a packaging logistics system. Resources, Conservation and Recycling. 2019; 149 ():435-444.
Chicago/Turabian StyleTsai-Chi Kuo; Ming-Chuan Chiu; Wu-Hsun Chung; Tzu-I Yang. 2019. "The circular economy of LCD panel shipping in a packaging logistics system." Resources, Conservation and Recycling 149, no. : 435-444.
Prior studies are lacking on a combined product selling and leasing model design and absent on the life cycle cost analysis and the product design model. To address these shortcomings, this study analyzes a leasing model on the profit and cost variables in comparison to a selling model to evaluate a proposed sustainable product-service system. The trade-off is the cost of additional durability and residual value of the product at end of the lease period. To increase the performance of sustainable supply chain management, this study is essential to comply with customer requirements and to align the product design and to track both product design integration and life-cycle cost analysis when developing an analytical model to effectively implement the sustainable product service system. Multiple regression is utilized to screen the variables that influence both product design and the firm’s profits. A heat-pump water heater case study is conducted and analyzed using the proposed method to generate product selling and leasing model design suggestions that facilitate sustainable product-service systems servitization with development considerations. The method proposed in this study could be a reference decision making model for different business model based on different decision strategies.
Tsai-Chi Kuo; Ming-Chuan Chiu; Chia-Wei Hsu; Ming-Lang Tseng. Supporting sustainable product service systems: A product selling and leasing design model. Resources, Conservation and Recycling 2019, 146, 384 -394.
AMA StyleTsai-Chi Kuo, Ming-Chuan Chiu, Chia-Wei Hsu, Ming-Lang Tseng. Supporting sustainable product service systems: A product selling and leasing design model. Resources, Conservation and Recycling. 2019; 146 ():384-394.
Chicago/Turabian StyleTsai-Chi Kuo; Ming-Chuan Chiu; Chia-Wei Hsu; Ming-Lang Tseng. 2019. "Supporting sustainable product service systems: A product selling and leasing design model." Resources, Conservation and Recycling 146, no. : 384-394.
This study proposes a biofuel model in Taiwan that considers the government subsidy policy, market demand, biofuel production cost, and social cost attributes. Biofuel is a prospective alternative and renewable solution to energy and environmental challenges in the transportation sector. However, the development of biofuels is constrained by several factors including the amount of land available (the primary constraint), marketing of residual resources, and technological improvements. Economic feasibility and competition analysis and use of residual resources limited the actual amount of residual resources utilized to produce biofuel. Prior studies have examined the potential to commercialize biofuels where resources are limited. Despite insufficient land availability, biofuel commercialization has the potential to be mutually beneficial and risk-sharing in the supply chain. The contribution of this study is to develop a dynamic system model to explore the potential for biofuel commercialization in Taiwan despite its limited Biofuel resources. Through this model, this study considered E3 vehicles that use a fuel blend of 3% ethanol and 97% gasoline. Data were collected from institutional statistical reports. The results showed there is a large commercial opportunity; however, biofuel resources are insufficient. To deal with this resource insufficient, the Taiwanese government could use this model to develop an appropriate subsidy policy that adjusts prices based on market demand and technological improvements.
Tsai Chi Kuo; Syu-Hong Lin; Ming-Lang Tseng; Anthony S.F. Chiu; Chia-Wei Hsu. Biofuels for vehicles in Taiwan: Using system dynamics modeling to evaluate government subsidy policies. Resources, Conservation and Recycling 2019, 145, 31 -39.
AMA StyleTsai Chi Kuo, Syu-Hong Lin, Ming-Lang Tseng, Anthony S.F. Chiu, Chia-Wei Hsu. Biofuels for vehicles in Taiwan: Using system dynamics modeling to evaluate government subsidy policies. Resources, Conservation and Recycling. 2019; 145 ():31-39.
Chicago/Turabian StyleTsai Chi Kuo; Syu-Hong Lin; Ming-Lang Tseng; Anthony S.F. Chiu; Chia-Wei Hsu. 2019. "Biofuels for vehicles in Taiwan: Using system dynamics modeling to evaluate government subsidy policies." Resources, Conservation and Recycling 145, no. : 31-39.
In order to move towards a goal of sustainability, many enterprises have developed sustainable products. When responding to sustainable product development, many enterprises have found that most engineers and designers have often not been trained in sustainability, since it covers multidisciplinary viewpoints. There are two streams concerning sustainable products: work on conventional new product development and work on sustainable management. Therefore, this research integrates these two different design criteria and guidelines and forms a development process. With this development process, designers can develop sustainable products more easily and effectively.
Tsai Chi Kuo; Chi-Jung Wang. Integrating Robust Design Criteria and Axiomatic Design Principles to Support Sustainable Product Development. International Journal of Precision Engineering and Manufacturing-Green Technology 2019, 6, 549 -557.
AMA StyleTsai Chi Kuo, Chi-Jung Wang. Integrating Robust Design Criteria and Axiomatic Design Principles to Support Sustainable Product Development. International Journal of Precision Engineering and Manufacturing-Green Technology. 2019; 6 (3):549-557.
Chicago/Turabian StyleTsai Chi Kuo; Chi-Jung Wang. 2019. "Integrating Robust Design Criteria and Axiomatic Design Principles to Support Sustainable Product Development." International Journal of Precision Engineering and Manufacturing-Green Technology 6, no. 3: 549-557.
Ming-Chuan Chiu; Chih-Yuan Chu; Tsai Chi Kuo. Product service system transition method: building firm’s core competence of enterprise. International Journal of Production Research 2019, 57, 6452 -6472.
AMA StyleMing-Chuan Chiu, Chih-Yuan Chu, Tsai Chi Kuo. Product service system transition method: building firm’s core competence of enterprise. International Journal of Production Research. 2019; 57 (20):6452-6472.
Chicago/Turabian StyleMing-Chuan Chiu; Chih-Yuan Chu; Tsai Chi Kuo. 2019. "Product service system transition method: building firm’s core competence of enterprise." International Journal of Production Research 57, no. 20: 6452-6472.
A product environmental footprint is a multi-criteria measure for environmental sustainability. Most of these environmental criteria are either synergies (non-trade-offs) or compromises (trade-offs) within environmental metrics. This forms a multi-objective problem of supply chain network design. The product environmental footprint is an aid or tool that enterprises may use to measure and improve the life cycle environmental performance of their products. In this research, a multi-criteria method, Pareto optimization, is used to design a supply chain network based on the results of a product environmental footprint. In Pareto optimization, two objectives are formulated: Environmental impact and cost. Using the results of this research, designers will be able to choose a material with a lower environmental impact and supply chain managers will be able to select suppliers with lower environmental impacts. A case study of industry practice is also analyzed. It shows an environmental footprint is useful for the supply chain design network.
Tsai Kuo; Yile Lee. Using Pareto Optimization to Support Supply Chain Network Design within Environmental Footprint Impact Assessment. Sustainability 2019, 11, 452 .
AMA StyleTsai Kuo, Yile Lee. Using Pareto Optimization to Support Supply Chain Network Design within Environmental Footprint Impact Assessment. Sustainability. 2019; 11 (2):452.
Chicago/Turabian StyleTsai Kuo; Yile Lee. 2019. "Using Pareto Optimization to Support Supply Chain Network Design within Environmental Footprint Impact Assessment." Sustainability 11, no. 2: 452.
This study contributes to the understanding of the effect of influential attributes on reduced energy consumption behavior. The European Union aims to replace at least 80% of electricity meters with smart meters by 2020. With smart meters it could provide energy information on real-time consumption. The smart meter is used to explore energy consumer behavior with socio-demographics, pro-environmental behavior, and goal directed behavior. However, at present there are few studies that investigate these influential attributes on energy consumers. Hence, this study is to understand the effect of influential attributes on reduced energy consumption behavior. Energy consumer information was controlled to provide feedback to the participants based on the product design strategy of persuasive technology. The respondents adapted their energy consumption behavior during this analytical approach. The data was collected and analyzed based on statistical methods. The result shows the influential attributes on reduced energy consumption behavior for design references.
Tsai Chi Kuo; Ming-Lang Tseng; Chih Hsuan Lin; Rou-Wen Wang; Chia-Hao Lee. Identifying sustainable behavior of energy consumers as a driver of design solutions: The missing link in eco-design. Journal of Cleaner Production 2018, 192, 486 -495.
AMA StyleTsai Chi Kuo, Ming-Lang Tseng, Chih Hsuan Lin, Rou-Wen Wang, Chia-Hao Lee. Identifying sustainable behavior of energy consumers as a driver of design solutions: The missing link in eco-design. Journal of Cleaner Production. 2018; 192 ():486-495.
Chicago/Turabian StyleTsai Chi Kuo; Ming-Lang Tseng; Chih Hsuan Lin; Rou-Wen Wang; Chia-Hao Lee. 2018. "Identifying sustainable behavior of energy consumers as a driver of design solutions: The missing link in eco-design." Journal of Cleaner Production 192, no. : 486-495.
In order to reach the goal of sustainability, eco-innovation has been proposed as an effective mechanism and solution to help enterprises to reduce negative impacts on environment. However, with the advance of technology, the scope of eco-innovation becomes larger and complicated. In the past, very few articles discussed the evolution of technologies involving eco-innovation integratedly and systematically. It is worth to have a systematic review concerning the state of the art. The purpose of this study was to provide a holistic view to see the progression of the technologies which pushed forward the realization of sustainability in the past 2-3 decades. In this study, 55 research review papers were initially selected and analyzed to identify the technologies involving eco-innovation. Four technology-based eco-innovation dimensions were defined (green/sustainable product development dimension, business model integration dimension, green marketing and sustainable consumption dimension, and hybrid model construction and optimization dimension). Five case studies in the prior research were re-evaluated based on the identified technology-based eco-innovation dimensions. The results showed that most companies performed the best for the green/sustainable product development dimension. New technology and directions are needed for enterprises to strengthen the other three dimensions. Therefore, additional 76 papers were analyzed to provide suggestions concerning future technology directions for enterprises moving towards sustainability.
Tsai-Chi Kuo; Shana Smith. A systematic review of technologies involving eco-innovation for enterprises moving towards sustainability. Journal of Cleaner Production 2018, 192, 207 -220.
AMA StyleTsai-Chi Kuo, Shana Smith. A systematic review of technologies involving eco-innovation for enterprises moving towards sustainability. Journal of Cleaner Production. 2018; 192 ():207-220.
Chicago/Turabian StyleTsai-Chi Kuo; Shana Smith. 2018. "A systematic review of technologies involving eco-innovation for enterprises moving towards sustainability." Journal of Cleaner Production 192, no. : 207-220.