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Prof. Dr. Ming-Lang Tseng
Asia University

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0 Corporate Sustainability
0 Supply Chain Management
0 Sustainable Business Strategies
0 Sustainable Consumption & Production
0 Multi Criteria Decision Making

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Supply Chain Management
Sustainable Consumption & Production
Corporate Sustainability
Multi Criteria Decision Making

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Journal article
Published: 14 August 2021 in International Journal of Logistics Research and Applications
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This study establishes a valid set of circular supply chain management enablers in Vietnam under uncertainties. Circular supply chain management optimises resource utilisation and minimises waste in achieving competitive advantage; however, prior studies failed to build enablers for industrial improvement under qualitative information. This study adopts the fuzzy Delphi method to arrive at a valid group of attributes. Fuzzy set theory deals with the uncertainties from qualitative data, and fuzzy interpretive structural modelling builds the hierarchical structure under uncertainties. The best-worst method confirms the consistencies. This study stipulates a four-level hierarchical structure in the seafood processing industry. The results show that organisational capability and agility, technological advancement and economic benefit are dominant aspects. Commitment of leadership and managerial support, suppliers’ collaboration, firm culture, readiness for organisational change and sustainability concept integration are top criteria for industrial improvement.

ACS Style

Ming-Lang Tseng; Thi Phuong Thuy Tran; Minoru Fujii; Ming K. Lim; Yeneneh Tamirat Negash. Modelling hierarchical circular supply chain management enablers in the seafood processing industry in Vietnam under uncertainties. International Journal of Logistics Research and Applications 2021, 1 -29.

AMA Style

Ming-Lang Tseng, Thi Phuong Thuy Tran, Minoru Fujii, Ming K. Lim, Yeneneh Tamirat Negash. Modelling hierarchical circular supply chain management enablers in the seafood processing industry in Vietnam under uncertainties. International Journal of Logistics Research and Applications. 2021; ():1-29.

Chicago/Turabian Style

Ming-Lang Tseng; Thi Phuong Thuy Tran; Minoru Fujii; Ming K. Lim; Yeneneh Tamirat Negash. 2021. "Modelling hierarchical circular supply chain management enablers in the seafood processing industry in Vietnam under uncertainties." International Journal of Logistics Research and Applications , no. : 1-29.

Review
Published: 11 August 2021 in Sustainability
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The recent technological inclusions in supply chains are encouraging practitioners to continuously rethink and redesign these supply chains. Organizations are trying to implement sustainable manufacturing and supply chain practices to utilize their resources to the full extent in order to gain a competitive advantage. Circular supply chain management acts as the main pathway to achieve optimal circular business models; however, research in this area is still in its infancy and there is a need to study and analyze how the benefits of technology can be leveraged in conventional models to impact circular supply chains and build smart, sustainable, circular business models. To gain better familiarity with the future research paradigms, a detailed systematic literature review was conducted on this topic to identify the dynamics of this field and domains deserving further academic attention. A holistic and unique review technique was used by the authors to capture maximal insights. A total of 96 publications from 2010 to 2021 were selected from the Web of Science core collection database through strict keyword search codes and exclusion criteria, with neat integration of systematic and bibliometric analyses. The findings of this study highlight the knowledge gaps and future research directions, which are presented at the end of this paper.

ACS Style

Ahmed Zainul Abideen; Jaafar Pyeman; Veera Pandiyan Kaliani Sundram; Ming-Lang Tseng; Shahryar Sorooshian. Leveraging Capabilities of Technology into a Circular Supply Chain to Build Circular Business Models: A State-of-the-Art Systematic Review. Sustainability 2021, 13, 8997 .

AMA Style

Ahmed Zainul Abideen, Jaafar Pyeman, Veera Pandiyan Kaliani Sundram, Ming-Lang Tseng, Shahryar Sorooshian. Leveraging Capabilities of Technology into a Circular Supply Chain to Build Circular Business Models: A State-of-the-Art Systematic Review. Sustainability. 2021; 13 (16):8997.

Chicago/Turabian Style

Ahmed Zainul Abideen; Jaafar Pyeman; Veera Pandiyan Kaliani Sundram; Ming-Lang Tseng; Shahryar Sorooshian. 2021. "Leveraging Capabilities of Technology into a Circular Supply Chain to Build Circular Business Models: A State-of-the-Art Systematic Review." Sustainability 13, no. 16: 8997.

Journal article
Published: 21 July 2021 in International Journal of Production Economics
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This study adopts the diffusion of innovation theory as to develop the smart product service system model in banking industry due to prior studies are lacking in identifying the attributes. The smart product service system functions are bearing high uncertainty and system complexity; hence, the hybrid method of fuzzy Delphi method and fuzzy decision-making trial and evaluation laboratory to construct a valid hierarchical model and identified the causal interrelationships among the attributes. The smart product service system hierarchical model with eight aspects and 41 criteria are proposed enriching the existing literature and that identify appropriate strategies to achieve operational performance. The results show that seven aspects and 22 criteria are determined as the valid hierarchical model. The institutional compression, digital platform operation, and e-knowledge management are the causing aspects helps to form smart product service system operational performance in high uncertainty. For practices, the banking decision-makers should develop innovative actions relied on the forcible compression, cyber-physical systems, industrial big data, cloud service allocation and sharing, and transparency improvement as they are most importance criteria playing a decisive role in a successful SPSS. This provides guidelines for banking industry practice in Taiwan encouraging the miscellany of digital technology accomplishment for sustainable target.

ACS Style

Ming-Lang Tseng; Tat-Dat Bui; Shulin Lan; Ming K. Lim; Abu Hashan Md Mashud. Smart product service system hierarchical model in banking industry under uncertainties. International Journal of Production Economics 2021, 240, 108244 .

AMA Style

Ming-Lang Tseng, Tat-Dat Bui, Shulin Lan, Ming K. Lim, Abu Hashan Md Mashud. Smart product service system hierarchical model in banking industry under uncertainties. International Journal of Production Economics. 2021; 240 ():108244.

Chicago/Turabian Style

Ming-Lang Tseng; Tat-Dat Bui; Shulin Lan; Ming K. Lim; Abu Hashan Md Mashud. 2021. "Smart product service system hierarchical model in banking industry under uncertainties." International Journal of Production Economics 240, no. : 108244.

Journal article
Published: 18 July 2021 in Sustainability
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Sustainable consumption has been addressed in the literature in recent years, especially in relation to changing from a traditional consumption to sustainable consumption. Reducing environmental impacts from waste generation has been the focal point of sustainable consumption. However, a large number of attributes has caused a complexity in understanding which attributes effectively enhance the consumption. In particular, sustainable consumption has been facing a negative trend due to low levels of knowledge about packaging’s environmental impact, failed communication which leads to misperception and irresponsible behavior. This study contributes to proposing a set of attributes for enhancing sustainable consumption in the Indonesian food industry, to fulfill the lack of understanding of the attribute interrelationships using qualitative information. This study proposes a set of attributes to enhance sustainable consumption with qualitative information by assessing the interrelationships among the attributes employing the Delphi method and fuzzy decision-making trial and evaluation laboratory method to provide causal and effect relationships. As a result, corporate communication, consumer perception, consumer behavior, and product packaging are major aspects for sustainable consumption enhancement. Corporate communication becomes a major driver to affect perception and behavior. This study proposes a managerial insight for the packaged food industry on improving several criteria including green marketing, green consumerism, verbal features, and importance of information.

ACS Style

Ming-Lang Tseng; Chun-Wei Lin; Raditia Sujanto; Ming Lim; Tat-Dat Bui. Assessing Sustainable Consumption in Packaged Food in Indonesia: Corporate Communication Drives Consumer Perception and Behavior. Sustainability 2021, 13, 8021 .

AMA Style

Ming-Lang Tseng, Chun-Wei Lin, Raditia Sujanto, Ming Lim, Tat-Dat Bui. Assessing Sustainable Consumption in Packaged Food in Indonesia: Corporate Communication Drives Consumer Perception and Behavior. Sustainability. 2021; 13 (14):8021.

Chicago/Turabian Style

Ming-Lang Tseng; Chun-Wei Lin; Raditia Sujanto; Ming Lim; Tat-Dat Bui. 2021. "Assessing Sustainable Consumption in Packaged Food in Indonesia: Corporate Communication Drives Consumer Perception and Behavior." Sustainability 13, no. 14: 8021.

Journal article
Published: 18 July 2021 in Journal of Industrial and Production Engineering
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This study contributes to the assessment of the sustainable food system in Thailand, showing that governance, distribution and storage lead to technological innovation under uncertainties. Prior studies to evaluate attributes of the sustainable food system under uncertainties are lacking. By nature, the sustainable food system has various attributes and applies the fuzzy Delphi method to construct a valid set of measurements of qualitative information. This study uses a fuzzy decision-making trial and evaluation laboratory method to visualize the causal-effect interrelationships among the proposed attributes. The food system needs to include governance and behavioral changes to assess quality, food waste and production. Practical solutions must focus on enhancing environmental friendliness, product labeling for authenticity arguments, and the reuse and recycling of products. The results show that production assessment and distribution and storage lead to technological innovation.

ACS Style

Ming-Lang Tseng; Ming K. Lim; Mohd Helmi Ali; Gabriella Christianti; Patrapapar Juladacha. Assessing the sustainable food system in Thailand under uncertainties: governance, distribution and storage drive technological innovation. Journal of Industrial and Production Engineering 2021, 1 -18.

AMA Style

Ming-Lang Tseng, Ming K. Lim, Mohd Helmi Ali, Gabriella Christianti, Patrapapar Juladacha. Assessing the sustainable food system in Thailand under uncertainties: governance, distribution and storage drive technological innovation. Journal of Industrial and Production Engineering. 2021; ():1-18.

Chicago/Turabian Style

Ming-Lang Tseng; Ming K. Lim; Mohd Helmi Ali; Gabriella Christianti; Patrapapar Juladacha. 2021. "Assessing the sustainable food system in Thailand under uncertainties: governance, distribution and storage drive technological innovation." Journal of Industrial and Production Engineering , no. : 1-18.

Journal article
Published: 17 July 2021 in Journal of Cleaner Production
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This study proposes an improved sailfish optimization algorithm to deal with the problems of high operation cost and large pollution emission in hybrid dynamic economic emission dispatch (HDEED) of the power system. The algorithm also solves the problem of power dispatching difficulty caused by the randomness of wind energy when considering wind energy. The randomness of wind energy is modeled by Weibull distribution and combined with the dynamic economic emission dispatch; hence, the proposed model needs to be established. The traditional sailfish optimization (SFO) algorithm is improved by introducing weight inertia, global search formula, and Levy flight strategy to improve the search performance and solution speed. The improved sailfish optimization (ISFO) algorithm is to deal with the constraint conditions such as valve point effect, power balance constraint, and slope constraint of thermal power unit involved. Two test systems test the proposed ISFO algorithm performance. The ISFO algorithm operation cost is 9% and 6% lower than other optimization algorithms and the pollution emission is reduced by 30% and 4%. The proposed algorithm provides a competitive scheduling scheme on the premise of ensuring the flexibility of power system scheduling and effectively deals with the randomness of wind energy while reducing the operation cost and pollution emissions of the power system. This study has a positive impact on improving power supply reliability and reducing environmental pollution.

ACS Style

Ling-Ling Li; Qiang Shen; Ming-Lang Tseng; Shifan Luo. Power system hybrid dynamic economic emission dispatch with wind energy based on improved sailfish algorithm. Journal of Cleaner Production 2021, 316, 128318 .

AMA Style

Ling-Ling Li, Qiang Shen, Ming-Lang Tseng, Shifan Luo. Power system hybrid dynamic economic emission dispatch with wind energy based on improved sailfish algorithm. Journal of Cleaner Production. 2021; 316 ():128318.

Chicago/Turabian Style

Ling-Ling Li; Qiang Shen; Ming-Lang Tseng; Shifan Luo. 2021. "Power system hybrid dynamic economic emission dispatch with wind energy based on improved sailfish algorithm." Journal of Cleaner Production 316, no. : 128318.

Journal article
Published: 14 July 2021 in Journal of Industrial and Production Engineering
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The mathematical concept of green design method is proposed based on the relation between energy and life cycle, including domain redefinition, geometric probability, failure rate and reliability expression. The product design is carried with failure distributions and design steps, including exponential, normal and Weibull. The parameters are redefined and design steps and flowchart are specified. This proposed method is to ensure reliability and resource utilization for electrical products, and compares with traditional reliability assessment method. For traditional design method, the higher reliability requires more resource reserves and longer life cycle in material supply chain. Products are passively eliminated due to technical progress and resource utilization is lower during life cycle. green design steps and reliability test are simulated with Monte Carlo method, to demonstrate the correctness of green design method. This study involves higher reliability and considers reasonable life with more resource utilization than traditional design method.

ACS Style

Jun-Gang Zhou; Ling-Ling Li; Ming-Lang Tseng; Abdulaziz Ahmed; Zhao-Xia Shang. A novel green design method using electrical products reliability assessment to improve resource utilization. Journal of Industrial and Production Engineering 2021, 1 -12.

AMA Style

Jun-Gang Zhou, Ling-Ling Li, Ming-Lang Tseng, Abdulaziz Ahmed, Zhao-Xia Shang. A novel green design method using electrical products reliability assessment to improve resource utilization. Journal of Industrial and Production Engineering. 2021; ():1-12.

Chicago/Turabian Style

Jun-Gang Zhou; Ling-Ling Li; Ming-Lang Tseng; Abdulaziz Ahmed; Zhao-Xia Shang. 2021. "A novel green design method using electrical products reliability assessment to improve resource utilization." Journal of Industrial and Production Engineering , no. : 1-12.

Journal article
Published: 11 July 2021 in Expert Systems with Applications
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The strong volatility and randomness of wind power impact the grid and reduce the voltage quality of the grid when wind power is connected to the grid in large scale. The power sector takes the wind abandonment measures to ensure the grid voltage stability. The enhanced crow search algorithm optimization-extreme learning machine (ENCSA-ELM) model is proposed to accurately forecast short-term wind power to improve the utilization efficiency of clean energy. (1) The enhanced crow search algorithm (ENCSA) is proposed and applied to short-term wind power forecast. The convergence performance test revealed that the local development and global exploration capabilities of the ENCSA were enhanced, and the test result of the proposed ENCSA algorithm outperformed other well-known nature inspired algorithms and state-of-the-art CSA variants; (2) The output and input of the forecasting models were determined by analysis of the wind power impact factors and the wind power samples in autumn, winter and spring were forecasted by the ENCSA-ELM model; and (3) The forecast results were analyzed by multiple evaluation indexes. The simulation experiments revealed that the error interval and evaluation indexes of the ENCSA-ELM model outperformed the state-of-the-art wind power forecast methods, traditional machine learning models and ELM optimized by other algorithms. The RMSE value and MAPE value of the proposed model were controlled below 20% and 4%. Accurate wind power prediction maintains the voltage stability of power grid and increases the utilization efficiency of clean energy.

ACS Style

Ling-Ling Li; Zhi-Feng Liu; Ming-Lang Tseng; Korbkul Jantarakolica; Ming K. Lim. Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power. Expert Systems with Applications 2021, 184, 115579 .

AMA Style

Ling-Ling Li, Zhi-Feng Liu, Ming-Lang Tseng, Korbkul Jantarakolica, Ming K. Lim. Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power. Expert Systems with Applications. 2021; 184 ():115579.

Chicago/Turabian Style

Ling-Ling Li; Zhi-Feng Liu; Ming-Lang Tseng; Korbkul Jantarakolica; Ming K. Lim. 2021. "Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power." Expert Systems with Applications 184, no. : 115579.

Journal article
Published: 11 July 2021 in Journal of Industrial and Production Engineering
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This study supplies contributions to the existing literature with a state-of-the-art bibliometric review of sustainable industrial and operation engineering as the field moves toward Industry 4.0, and guidance for future studies and practical achievements. Although industrial and operation engineering is being promoted forward to sustainability, the systematization of the knowledge that forms firms’ manufacturing and operations and encompasses their wide concepts and abundant complementary elements is still absent. This study aims to analyze contemporary sustainable industrial and operations engineering in Industry 4.0 context. The bibliometric analysis and fuzzy Delphi method are proposed. Resulting in a total of 30 indicators that are criticized and clustered into eight study groups, including lean manufacturing in Industry 4.0, cyber-physical production system, big data-driven and smart communications, safety and security, artificial intelligence for sustainability, the circular economy in a digital environment, business intelligence and virtual reality, and environmental sustainability. Graphical Abstract

ACS Style

Ming-Lang Tseng; Thi Phuong Thuy Tran; Hien Minh Ha; Tat-Dat Bui; Ming K. Lim. Sustainable industrial and operation engineering trends and challenges Toward Industry 4.0: a data driven analysis. Journal of Industrial and Production Engineering 2021, 1 -18.

AMA Style

Ming-Lang Tseng, Thi Phuong Thuy Tran, Hien Minh Ha, Tat-Dat Bui, Ming K. Lim. Sustainable industrial and operation engineering trends and challenges Toward Industry 4.0: a data driven analysis. Journal of Industrial and Production Engineering. 2021; ():1-18.

Chicago/Turabian Style

Ming-Lang Tseng; Thi Phuong Thuy Tran; Hien Minh Ha; Tat-Dat Bui; Ming K. Lim. 2021. "Sustainable industrial and operation engineering trends and challenges Toward Industry 4.0: a data driven analysis." Journal of Industrial and Production Engineering , no. : 1-18.

Journal article
Published: 30 June 2021 in Energy Conversion and Management
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This study proposes a novel operation strategy named following the state of thermal storage tank (FST) to enhance the economic, energy and environmental performance of combined cooling, heating and power system. A system incorporating thermal storage tanks, batteries, micro turbines and photovoltaic generation units is built to assess the performance of different strategies. A multi-objective seagull optimization algorithm (MOSOA) is proposed to optimize the economic, energy and environmental objectives simultaneously, by using constrained non-dominant sorting and external archive mechanism into seagull optimization algorithm. In addition, technique for order preference by similarity to an ideal solution method is used to obtain the optimal compromise solution under the three objective functions to choose MOSOA Pareto solution. A large hotel case is used to evaluate the performance of FST, following the electric load (FEL), and following the thermal load (FTL) strategies in practical application. The result indicates that the output MOSOA Pareto solutions are uniformly distributed and the system performance under FST is superior to FEL and FTL strategies. The system performance is improved with primary energy saving ratio, carbon dioxide emission reduction ratio, energy efficiency and boiler energy saving ratio reaching 31.18%, 41.74%, 55.64% and 1.

ACS Style

Ling-Ling Li; Sheng-Jie Zheng; Ming-Lang Tseng; Yu-Wei Liu. Performance assessment of combined cooling, heating and power system operation strategy based on multi-objective seagull optimization algorithm. Energy Conversion and Management 2021, 244, 114443 .

AMA Style

Ling-Ling Li, Sheng-Jie Zheng, Ming-Lang Tseng, Yu-Wei Liu. Performance assessment of combined cooling, heating and power system operation strategy based on multi-objective seagull optimization algorithm. Energy Conversion and Management. 2021; 244 ():114443.

Chicago/Turabian Style

Ling-Ling Li; Sheng-Jie Zheng; Ming-Lang Tseng; Yu-Wei Liu. 2021. "Performance assessment of combined cooling, heating and power system operation strategy based on multi-objective seagull optimization algorithm." Energy Conversion and Management 244, no. : 114443.

Optimization
Published: 29 June 2021 in Soft Computing
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Cloud services with the property of elasticity are always bearing different loads over time. The efficiency of cloud management can be improved through the accurate prediction for cloud loads, which can be served as the foundation and recommendation for the future developing of the network scheme. As the basis and premise for management and decision making, a good prediction depends on suitable models and research methods. However, the interaction of users and the cloud network is high variability in the time and spatial dimensions, so traditional linear forecasting models cannot always process cloud computing loads well because of nonlinear changes. In this paper, a novel cloud load prediction model is proposed by improving whale optimization algorithm based on the hybrid strategy (HWOA) and combined with extreme learning machine (ELM) for strong nonlinear mapping ability. The proposed cloud load forecasting model is to employ HWOA optimizer to optimize the ELM model random parameters. Main research work includes that (1) the HWOA optimizer is to solve the whale optimizer local extremum problem; (2) the proposed HWOA optimizer reduces the ELM random parameters on cloud load forecasting; (3) the convergence performance is verified by benchmark testing functions; and (4) three groups of simulation experiments are conducted to evaluate the cloud load forecasting results. The results prove that the HWOA optimizer has a good convergence and outperforms the several conventional popular swarm intelligence optimizers. Also, the prediction results verify that our proposed model is more competitive for providing a solid foundation for efficient resource management and maximized economic benefits in cloud environment. For cloud load research groups and practitioners, this paper provides a new idea of cloud load forecasting.

ACS Style

Hua Peng; Wu-Shao Wen; Ming-Lang Tseng; Ling-Ling Li. A cloud load forecasting model with nonlinear changes using whale optimization algorithm hybrid strategy. Soft Computing 2021, 1 -16.

AMA Style

Hua Peng, Wu-Shao Wen, Ming-Lang Tseng, Ling-Ling Li. A cloud load forecasting model with nonlinear changes using whale optimization algorithm hybrid strategy. Soft Computing. 2021; ():1-16.

Chicago/Turabian Style

Hua Peng; Wu-Shao Wen; Ming-Lang Tseng; Ling-Ling Li. 2021. "A cloud load forecasting model with nonlinear changes using whale optimization algorithm hybrid strategy." Soft Computing , no. : 1-16.

Journal article
Published: 19 June 2021 in Sustainable Production and Consumption
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The amount of food being thrown away despite being in an edible condition has become alarming in countries with populations with medium and high incomes. Changes in consumer behaviour, such as overbuying, are some of the major impetuses of food waste. This study aimed to examine the relationship between food waste and social media usage, neuroticism, and impulse buying. The mediating role of impulse buying and the moderating role of neuroticism on food waste during the coronavirus (COVID-19) pandemic were also uncovered in this study. A self-administered online survey was distributed to a total of 274 consumers who had experienced a lockdown during the COVID-19 outbreak and were also regular buyers of food. Empirical findings supported the fact that social media usage, neuroticism, and impulse buying were positively related to food waste. Impulse buying mediates the relationship between social media usage and food waste, as well as between neuroticism and food waste. The study results also revealed that neuroticism positively moderates the relationship between social media usage and food waste. This paper offers new insights into efforts for sustainable food consumption to tackle the issue of food waste.

ACS Style

Aishath Lahath; Nor Asiah Omar; Mohd Helmi Ali; Ming-Lang Tseng; Zaleha Yazid. Exploring Food Waste during the COVID-19 Pandemic among Malaysian Consumers: The Effect of Social Media, Neuroticism, and Impulse Buying on Food Waste. Sustainable Production and Consumption 2021, 28, 519 -531.

AMA Style

Aishath Lahath, Nor Asiah Omar, Mohd Helmi Ali, Ming-Lang Tseng, Zaleha Yazid. Exploring Food Waste during the COVID-19 Pandemic among Malaysian Consumers: The Effect of Social Media, Neuroticism, and Impulse Buying on Food Waste. Sustainable Production and Consumption. 2021; 28 ():519-531.

Chicago/Turabian Style

Aishath Lahath; Nor Asiah Omar; Mohd Helmi Ali; Ming-Lang Tseng; Zaleha Yazid. 2021. "Exploring Food Waste during the COVID-19 Pandemic among Malaysian Consumers: The Effect of Social Media, Neuroticism, and Impulse Buying on Food Waste." Sustainable Production and Consumption 28, no. : 519-531.

Journal article
Published: 17 June 2021 in Technological Forecasting and Social Change
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This study contributes by identifying a set of factors serving as barriers and facilitators to the adoption of renewable energy sources under uncertainty to provide an understanding of renewable energy sources in Indonesia. Previous studies have neglected to identify the factors serving as barriers to the adoption of renewable energy sources through contextual interrelationships and uncertainty. The attributes need to be assessed with multiple criteria, but contextual attributes have interrelationships and qualitative descriptions. Hence, this study applies the fuzzy Delphi method to arrive at a valid set of barriers to the adoption of renewable energy sources based on qualitative information and linguistic preferences. These qualitatively valid attributes are interrelated; hence, this study uses the fuzzy decision-making trial and evaluation laboratory method to visualize the interrelationships among attributes under uncertainty. This study compares the adoption of and barriers to the adoption of renewable energy sources. The results indicate that adoption is driven by technical capabilities and that the main barrier is technical analysis. In practice, the adoption criteria are institutional, policy and technical analysis aspects, and the main barriers to achieving sustainable electricity generation are development funding, licensing procedures, groundwater pollution and investment cost.

ACS Style

Ming-Lang Tseng; Viqi Ardaniah; Raditia Yudistira Sujanto; Minoru Fujii; Ming K. Lim. Multicriteria assessment of renewable energy sources under uncertainty: Barriers to adoption. Technological Forecasting and Social Change 2021, 171, 120937 .

AMA Style

Ming-Lang Tseng, Viqi Ardaniah, Raditia Yudistira Sujanto, Minoru Fujii, Ming K. Lim. Multicriteria assessment of renewable energy sources under uncertainty: Barriers to adoption. Technological Forecasting and Social Change. 2021; 171 ():120937.

Chicago/Turabian Style

Ming-Lang Tseng; Viqi Ardaniah; Raditia Yudistira Sujanto; Minoru Fujii; Ming K. Lim. 2021. "Multicriteria assessment of renewable energy sources under uncertainty: Barriers to adoption." Technological Forecasting and Social Change 171, no. : 120937.

Journal article
Published: 26 May 2021 in Resources, Conservation and Recycling
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ACS Style

Chen-Fu Chien; Kathleen Aviso; Ming-Lang Tseng; Minoru Fujii; Ming K. Lim. Solid waste management in emerging economies: Opportunities and challenges for reuse and recycling. Resources, Conservation and Recycling 2021, 172, 105677 .

AMA Style

Chen-Fu Chien, Kathleen Aviso, Ming-Lang Tseng, Minoru Fujii, Ming K. Lim. Solid waste management in emerging economies: Opportunities and challenges for reuse and recycling. Resources, Conservation and Recycling. 2021; 172 ():105677.

Chicago/Turabian Style

Chen-Fu Chien; Kathleen Aviso; Ming-Lang Tseng; Minoru Fujii; Ming K. Lim. 2021. "Solid waste management in emerging economies: Opportunities and challenges for reuse and recycling." Resources, Conservation and Recycling 172, no. : 105677.

Journal article
Published: 19 May 2021 in Applied Soft Computing
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This study proposes improved tunicate swarm algorithm (ITSA) for solving and optimizing the dynamic economic emission dispatch (DEED) problem. The DEED optimization target is to reduce the fuel cost and pollutant emission of the power system. In addition, DEED is a complex optimization problem and contains multiple optimization goals. To strengthen the ability of the ITSA algorithm for solving DEED, the tent mapping is employed to generate initial population for improving the directionality in the optimization process. Meanwhile, the gray wolf optimizer is used to generate the global search vector for improving global exploration ability, and the Levy flight is introduced to expand the search range. Three test systems containing 5, 10 and 15 generator units are employed to verify the solving performance of ITSA. The test results show that the ITSA algorithm can provide a competitive scheduling plan for test systems containing different units. ITSA proposed algorithm gives the optimal economic and environmental dynamic dispatch scheme for achieving more precise dispatch strategy.

ACS Style

Ling-Ling Li; Zhi-Feng Liu; Ming-Lang Tseng; Sheng-Jie Zheng; Ming K. Lim. Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems. Applied Soft Computing 2021, 108, 107504 .

AMA Style

Ling-Ling Li, Zhi-Feng Liu, Ming-Lang Tseng, Sheng-Jie Zheng, Ming K. Lim. Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems. Applied Soft Computing. 2021; 108 ():107504.

Chicago/Turabian Style

Ling-Ling Li; Zhi-Feng Liu; Ming-Lang Tseng; Sheng-Jie Zheng; Ming K. Lim. 2021. "Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems." Applied Soft Computing 108, no. : 107504.

Preprint content
Published: 18 May 2021
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This study contributes to identifying a valid and reliable set of barriers to sustainable solid waste management framework rooted in society 5.0 perspectives in Taiwan. In nature, the hierarchical structure is with the causal interrelationships under uncertainties. The perspective empowers the creation of a new biosphere based on technological progress, but in the sustainable solid waste management field, it is difficult to encounter and shape the systematized processes due to barriers and challenges. To address this shortcoming, this study evaluates the technical challenges faced in the field of sustainable solid waste management toward society 5.0. The valid attributes are usually described the qualitative information. The fuzzy Delphi method is applied to acquire the valid and reliable attributes. Fuzzy decision-making trial and evaluation laboratory experiment is to visualize the causal interrelationships among the attributes. Choquet integral with respect to the nonadditive attributes over the valid set provides an overall perspective function. The results establish an understanding of sustainable solid waste management barriers in the perspectives under uncertainties. Community uncertainty, policy and regulation problems, city architecture, and technology interaction are the factors that influence sustainable performance. In practices, (1) diverse disciplines and sectors in local, national, and global communities, (2) a lack of mobility and reliability, (3) mass production and mass consumption, (4) an insufficient level of artificial intelligence application, and (5) failures related to data management and security hinder the improvement of sustainable solid waste management toward society 5.0.

ACS Style

Tat-Dat Bui; Ming-Lang Tseng. Understanding the Barriers to Sustainable Solid Waste Management in Society 5.0 Perspective Under Uncertainties: A Hybrid Method Approach. 2021, 1 .

AMA Style

Tat-Dat Bui, Ming-Lang Tseng. Understanding the Barriers to Sustainable Solid Waste Management in Society 5.0 Perspective Under Uncertainties: A Hybrid Method Approach. . 2021; ():1.

Chicago/Turabian Style

Tat-Dat Bui; Ming-Lang Tseng. 2021. "Understanding the Barriers to Sustainable Solid Waste Management in Society 5.0 Perspective Under Uncertainties: A Hybrid Method Approach." , no. : 1.

Journal article
Published: 13 May 2021 in Journal of Environmental Management
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Eco-industrial parks promise to reduce environmental and social impacts and improve the economic performance of industrial parks. However, the transition from industrial parks to eco-industrial parks is still not well understood. This study contributes to developing valid hierarchical eco-industrial park transition attribute sets with qualitative information, as prior studies lack an exploration of the attributes in the transition of eco-industrial parks in Hungary. In nature, eco-industrial park transition attributes have causal and hierarchical interrelationships and are described with qualitative information. The assessment involves an analysis of the industrial symbiosis principles by using linguistic preferences. However, multiple attributes are involved in the assessment; therefore, this study proposes the Delphi method to develop a valid attribute set and applies fuzzy set theory to translate qualitative information into crisp values. The fuzzy decision-making trial evaluation laboratory method is used to visualize the attributes’ causal interrelationships under uncertainties. The results indicate that the policy and regulatory framework leads to collaboration among firms in the eco-industrial park transition model. In practice, price reforms, management commitment, strategic planning, cognitive barriers and the integration of external information are the practical criteria for improvement. Theoretical and practical implications are also discussed.

ACS Style

Ming-Lang Tseng; Yeneneh Tamirat Negash; Noémi Csigéné Nagypál; Mohammad Iranmanesh; Raymond R. Tan. A causal eco-industrial park hierarchical transition model with qualitative information: Policy and regulatory framework leads to collaboration among firms. Journal of Environmental Management 2021, 292, 112735 .

AMA Style

Ming-Lang Tseng, Yeneneh Tamirat Negash, Noémi Csigéné Nagypál, Mohammad Iranmanesh, Raymond R. Tan. A causal eco-industrial park hierarchical transition model with qualitative information: Policy and regulatory framework leads to collaboration among firms. Journal of Environmental Management. 2021; 292 ():112735.

Chicago/Turabian Style

Ming-Lang Tseng; Yeneneh Tamirat Negash; Noémi Csigéné Nagypál; Mohammad Iranmanesh; Raymond R. Tan. 2021. "A causal eco-industrial park hierarchical transition model with qualitative information: Policy and regulatory framework leads to collaboration among firms." Journal of Environmental Management 292, no. : 112735.

Journal article
Published: 12 May 2021 in Resources, Conservation and Recycling
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This study contributes a hierarchical framework for sustainable solid waste management in the context of crisis and organizational changes. A resource utilization model for sustainable solid waste management in Vietnam is built, and important attributes for providing practical crisis responses are indicated by employing the resource-based view and resource dependence theory. COVID-19 has created obstacles and uncertainty among municipalities, making it necessary for solid waste management organizations to enhance their capability to assess available resources and thereby quickly respond to changes. A hybrid method consisting of the fuzzy Delphi method, a fuzzy interpretive structural modeling matrix of cross-impact multiplications applied to classification, and a fuzzy decision-making trial and evaluation method is proposed to structure the hierarchical framework and to transform uncertain and complex attributes into measurable attributes. There are 30 valid attributes arranged into 12 levels and grouped into 9 aspects of sustainable resource utilization. The results show that the policy and regulation framework has the greatest driving power, followed by information sharing and communication, occupational intervention, employment standards, and city parameter support. The linkage criteria, which have strong driving and dependence power in equilibrium interactions with other criteria and play an essential role in balancing the system, include the skills and capacities of in-house staff, working conditions and the environment, internal knowledge sharing and exchange, staff awareness and training, and the design of safety interventions; these criteria must be emphasized in practice.

ACS Style

Ming-Lang Tseng; Tat-Dat Bui; Ming K. Lim. Resource utilization model for sustainable solid waste management in Vietnam: A crisis response hierarchical structure. Resources, Conservation and Recycling 2021, 171, 105632 .

AMA Style

Ming-Lang Tseng, Tat-Dat Bui, Ming K. Lim. Resource utilization model for sustainable solid waste management in Vietnam: A crisis response hierarchical structure. Resources, Conservation and Recycling. 2021; 171 ():105632.

Chicago/Turabian Style

Ming-Lang Tseng; Tat-Dat Bui; Ming K. Lim. 2021. "Resource utilization model for sustainable solid waste management in Vietnam: A crisis response hierarchical structure." Resources, Conservation and Recycling 171, no. : 105632.

Research article
Published: 11 May 2021 in Business Strategy and the Environment
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This study aims to deal with the challenge of rationalizing and testing the interrelationships assumptions of external and organizational factors in the case of clean development mechanism implementation. Prior studies are lacking to introduce the expected business benefits as a mediator between external factors and clean development mechanism implementation. The moderating effect of environmental resources was rationalized and evaluated. The data were collected from 130 ISO 14001 certified manufacturing firms and analyzed using the partial least squares technique. The results revealed that expected business benefits mediate the impacts of all considered external factors and cause an insignificant direct association between market pressure and mechanism implementation. Organizational resources moderate positively the impact of competitor pressure on mechanism implementation. The findings extend the literature by illustrating the dependency of external factors and organizational factors and challenging the results of the studies, which have been driven by independence assumption. The findings are enabling policy‐makers and managers to effectively modify the strategies for enhancing the extent of mechanism implementation.

ACS Style

Zainorfarah Zainuddin; Mohammad Iranmanesh; Ming‐Lang Tseng; Behzad Foroughi; Tengku Adeline Adura Tengku Hamzah. Clean development mechanism implementation: External and organizational factors drives expected business benefits. Business Strategy and the Environment 2021, 1 .

AMA Style

Zainorfarah Zainuddin, Mohammad Iranmanesh, Ming‐Lang Tseng, Behzad Foroughi, Tengku Adeline Adura Tengku Hamzah. Clean development mechanism implementation: External and organizational factors drives expected business benefits. Business Strategy and the Environment. 2021; ():1.

Chicago/Turabian Style

Zainorfarah Zainuddin; Mohammad Iranmanesh; Ming‐Lang Tseng; Behzad Foroughi; Tengku Adeline Adura Tengku Hamzah. 2021. "Clean development mechanism implementation: External and organizational factors drives expected business benefits." Business Strategy and the Environment , no. : 1.

Case report
Published: 07 May 2021 in International Journal of Logistics Research and Applications
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This study aims to classify a set of circular supply chain collaboration attributes and propose a cause-and-effect framework in the Vietnamese healthcare industry. A circular supply chain is argued to better retrieve value from end of life products to create zero waste, the collaboration within the value chain is seen as a critical facilitator for the transition process and the attributes for bringing this collaboration into practice still need to be discovered. The five aspects suggest as vision and learning in circularity, connection in a circular supply chain, circularity in business model, reverse logistics policies and enabling collaboration by information technology. Fuzzy Delphi method is applied to eliminate unnecessary criteria; decision-making trial and evaluation laboratory and analytical network process are employed to prioritize attributes and identify the interrelationships. Results illustrate that vision and learning in circularity, reverse logistics policies and enabling collaboration by information technology belong to causal group, whereas connection in a circular supply chain and circularity in business model are members of effect group. The top criteria are shared vision guidance on collaboration, a shift in problems framing in supply chain, a shift in problems solving in supply chain collaboration and information technology competency in circular supply chain.

ACS Style

Ming-Lang Tseng; Hien Minh Ha; Kuo-Jui Wu; Bing Xue. Healthcare industry circular supply chain collaboration in Vietnam: vision and learning influences on connection in a circular supply chain and circularity business model. International Journal of Logistics Research and Applications 2021, 1 -26.

AMA Style

Ming-Lang Tseng, Hien Minh Ha, Kuo-Jui Wu, Bing Xue. Healthcare industry circular supply chain collaboration in Vietnam: vision and learning influences on connection in a circular supply chain and circularity business model. International Journal of Logistics Research and Applications. 2021; ():1-26.

Chicago/Turabian Style

Ming-Lang Tseng; Hien Minh Ha; Kuo-Jui Wu; Bing Xue. 2021. "Healthcare industry circular supply chain collaboration in Vietnam: vision and learning influences on connection in a circular supply chain and circularity business model." International Journal of Logistics Research and Applications , no. : 1-26.