Shuo-Yan Chou

• Ph.D.
• Professor (Full) at National Taiwan University of Science and Technology

Automated Storage and Retrieval Systems (AS/RS) and Shuttle-based Storage and Retrieval Systems (SBS/RS) are two widely used Automated Material Handling Systems (AMHSs) aimed at enhancing warehouse efficiency, safety, and accuracy. They replace labor-intensive systems struggling with high-variety demands. This study conducts a comparative study bet...

The rapid growth of retail e-commerce has increased demand for warehouses to handle large volumes and diverse SKUs. To meet these demands, Robotic Mobile Fulfillment System (RMFS) is widely adopted. However, the automation in RMFS significantly raises energy consumption. The challenge is that the dynamic complexity of RMFS operations poses a major...

E-participation platforms, such as iVoting and Join in Taiwan, provide digital spaces for citizens to engage in deliberation, voting, and oversight. As a forerunner in Asia, Taiwan has implemented these platforms to enhance participatory democracy. However, there is still limited research on the specific content debated on these platforms. Utilisin...

This research proposes a comprehensive analysis of the environmental and economic impacts of electric vehicle (EVs) adoption using system dynamics modeling. A system dynamics framework is utilized to integrate various aspects of EVs, economy, environment, and impact of policies on those sectors. Stock and flow diagrams were used to model and predic...

E-participation platforms have emerged as digital tool to facilitate citizen engagement through online deliberation, voting and oversight processes. The digital add-on for participatory democracy (Carole Pateman) can be found in different countries around the world. In Asia, the rollout of two platforms in Taiwan, namely iVoting and Join, has captu...

Enhancing the efficacy of financial subsidies holds paramount significance in fostering sustainable development due to their influence on energy utilization, installation scalability, and the crucial pursuit of decarbonization. Despite a surge in scholarly interest surrounding financial subsidies for renewable energy, the literature studies fall sh...

Dwell point positioning is one of the important decision factors in any automated material handling system (AMHS) by finding the ideal parking position during idle when waiting for the next incoming task. This study proposes a data-driven approach based on predictive analytics, as a new dynamic dwell point positioning method for Automated Storage a...

The warehouse automation market has experienced significant growth due to the necessity for quick responses to customer needs. The adoption of Automated Storage and Retrieval System (AS/RS) aims to enhance operational efficiency and expedite order fulfillment, although environmental considerations are frequently overlooked. This study introduces th...

Automated Storage and Retrieval System (AS/RS) is driven by multiple motors for loading and unloading the items (z-axis) onto the fork or stacker, then moving the items horizontally (x-axis) and vertically (y-axis) at a time. Thus, it is practical to determine the speed configuration for each movement. To be responsive, it is reasonable to set the...

Plain language summary This study aims to establish and validate a model for assessing the factors influencing the willingness-to-pay for mangrove forest environmental services. Data were collected by surveying 235 individuals from various households in Phu Long commune, Vietnam. The Partial Least Squares - Structural Equation Modeling (PLS-SEM) me...

Cyber–physical systems are developed to meet the need to improve process flexibility, optimality, and transparency through Digital Twin (DT). Unfortunately, the application of DT is still limited in practice, and there is no standard way to achieve integration. An Asset Administration Shell (AAS) appears as a promising concept for realizing DT in a...

Transportation users often face shortcomings, such as unreliable service causing uncertainty in transit, low quality of service, and loss of time due to road and highway congestion. This study aims to improve the livability of the transportation system by considering several factors. System dynamics is used as a model development method to analyze...

The increasing number of motorized vehicles that exceed the road capacity, as well as the behavior of people who still ignore traffic regulations on the highway, have led to increasingly complex problems in the transportation system. A strategy is needed to improve the efficiency and affordability of the transportation system. The method used to im...

The advanced information technology has enabled supply chain to make centralized optimal decision, allowing to make a global optimal solution. However, dealing with uncertainty is important in inventory management. Besides demand and supply uncertainties, supplier discounts also often arise unexpectedly. Further, suppliers or third-parties typicall...

This research addresses the environmental dynamics of wind power plants and their impact on the economy and environment. A system dynamics framework is used as a tool for model development since it accommodates relationships between complex and nonlinear variables affecting the wind power plants and their impact on the economy and environment. The...

An Automated Storage and Retrieval System (AS/RS) is one of modern technologies in warehouse operation. Despite many advantages offered by AS/RS such as improving accuracy, efficiency, and safety, AS/RS operation is very complex started from strategical, tactical, to operational level. Reaching optimal combination for all decisions become important...

Carbon dioxide is essential to the climate system and is crucial in increasing global greenhouse gas emissions. In several countries, one of the highest contributors to carbon emissions comes from burning fossil fuels for energy, supported by electricity consumption in industrial activities. Thus, using renewable energy and the rapid development of...

Robotic Mobile Fulfillment System (RMFS) is a well-known automated parts-to-picker system that is highly suitable in a fast-moving warehouse for handling critical challenges in the e-commerce industry. Implementing this system in the e-commerce industry has been shown to boost the throughput compared with the traditional picker-to-parts picking sys...

Robotic mobile fulfillment systems have received increased attention in high throughput supply chain solutions. These systems are complex and require understanding of the single components and their interaction. Components include picking, replenishing, stock keeping unit allocation and task allocation. This paper focuses on the component of stock...

Living Lab, one of the recent emerging smart city concepts, faces long-term sustainability challenges associated with its complexity and breadth of use. To be efficient, it must rely on comprehensive set of information distributed appropriately among all stakeholders to unleash its full innovation potential. This is especially true in the case of p...

Reducing global warming is crucial for sustainability. Carbon emissions primarily stem from energy supply, prompting a shift from Non-Renewable Energy Supply (NRES) to Renewable Energy Supply (RES). However, transitioning to RES entails substantial investment and faces supply uncertainty due to weather dependency. Therefore, the transition should b...

An automated storage and retrieval system (AS/RS) is one of the computer-controlled Material Handling Systems (MHSs), playing an important role in modern warehousing operations. With the rapid development of e-commerce, the efficiency and accuracy of warehousing operations are crucial to the competitiveness of enterprises. Among them, the stacker c...

Modeling engines using physics-based approaches is a traditional and widely-accepted method for predicting in-cylinder pressure and the start of combustion (SOC). However, developing such intricate models typically demands significant effort, time, and knowledge about the underlying physical processes. In contrast, machine learning techniques have...

This research addresses the environmental dynamics of transport systems to increase its workability. The most influential factors on workability are security level, health factors, effectiveness, comfort, practicality, affordability, safety, and user perception. As a tool for model development, we utilized a system dynamics framework to accommodate...

Mismanagement of soil nutrients, poor site selection of loose soil, steep slopes for agriculture, parallel contour plowing, ground cover removal, and slash-and-burn contribute to soil degradation and erosion. Therefore, developing strategies and policies related to improving productivity, production, and better resource management is important to a...

Significant growth of offshore wind sector is creating key projects, opportunities, and challenges that are currently shaping industry trends in Taiwan. Although the current Feed-in-tariff (FIT) subsidy policy in Taiwan is 2–3 times the global average, the CO2 emission in Taiwan is still very high (288 Megatons in 2021) and the renewable energy sha...

The COVID-19 pandemic has presented significant public health and economic challenges worldwide. Various health and non-pharmaceutical policies have been adopted by different countries to control the spread of the virus. To shed light on the impact of vaccination and social mobilization policies during this wide-ranging crisis, this paper applies a...

Maintenance scheduling is one of the most challenging issues of offshore wind system, because the maintenance decision may impact greatly to cost-effectiveness. The process of maintenance decision making is confronting with uncertainties, including economic, technical, safety and environmental uncertain that make conventional maintenance optimizati...

Intuitionistic fuzzy sets (IFSs), including member and nonmember functions, have many applications in managing uncertain information. The similarity measures of IFSs proposed to represent the similarity between different types of sensitive fuzzy information. However, some existing similarity measures do not meet the axioms of similarity. Moreover,...

An accurate method for building energy consumption prediction is important for building energy management systems. However, building energy consumption data often exhibits nonlinear and nonstationary patterns, which makes prediction more difficult. This study proposes a hybrid method of Random Forest (RF) and Long Short-Term Memory (LSTM) based on...

A building, a central location of human activities, is equipped with many devices that consume a lot of electricity. Therefore, predicting the energy consumption of a building is essential because it helps the building management to make better energy management policies. Thus, predicting energy consumption of a building is very important, and this...

Maintenance cost contributes a large portion in total life-cycle cost of offshore wind systems and improves the efficiency of maintenance activities that has emerged as an effective solution in enhancing cost-effectiveness of offshore wind energy. This study proposes a mathematical model to determine the optimal maintenance schedules, by highlighti...

The provision of rice in sufficient quantities and affordable prices is the main objective of agricultural development. However, there are higher margins of inequality for traders in the rice supply chain, making farmers and consumers at a disadvantage. Previous research has overcome this problem by focusing on milling only in the rice milling indu...

The growth of vehicle use in Indonesia continues to increase, which is in line with the population growth. The increase in the number of vehicles, mostly using fossil fuels, has an impact on increasing pollution. Transportation is the biggest contributor to pollution. Therefore, it is necessary to increase the livability of the transportation syste...

Nowadays, numerous public buildings provide water dispensers to supply drinking water which causes more energy consumption. A typical water dispenser periodically heats and cools the water to ensure that hot, warm, and cold water are always available for the user. However, this mechanism is inefficient because the users do not request hot and cool...

The size of cities has been continuously increasing because of urbanization. The number of public and private transportation vehicles is rapidly increasing, thus resulting in traffic congestion, traffic accidents, and environmental pollution. Although major cities have undergone considerable development in terms of transportation infrastructure, pr...

Renewable energy has been actively researched and developed in many countries to replace the conventional energy resources that come from fossil fuels. As social and environmental awareness of the renewable energy has grown, it is essential to address both quantitative factors and qualitative factors in determination of the optimal renewable energy...

Intuitionistic fuzzy sets (IFSs), including member and nonmember functions, have many applications in managing uncertain information. The similarity measures of IFSs proposed to represent the similarity between different types of sensitive fuzzy information. However, some existing similarity measures do not meet the axioms of similarity. Moreover,...

In recent decades, advantageous achievements of the technology have promoted the expansion of floating offshore wind energy to be one of the most promising renewable energy sources. Due to location characteristic and harsh weather conditions of the floating offshore wind farms, the operation and maintenance are hard–to–reach and the economic feasib...

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Energy plays a central part in economic development, yet alongside fossil fuels bring vast environmental impact. In recent years, renewable energy has gradually become a viable source for clean energy to alleviate and decouple with a negative connotation. Different types of renewable energy are not without trade-offs beyond costs and performance. M...

Supplier selection and segmentation are crucial tasks of companies in order to reduce costs and increase the competitiveness of their goods. To handle uncertainty and dynamicity in the supplier segmentation problem, this research thus proposes a new dynamic generalized fuzzy multi-criteria group decision making (MCGDM) approach from the aspects of...

Complex fuzzy theory has strong practical background in many important applications, especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy Inference System (M-CFIS) has been introduced as an effective tool for handling events that are not restricted to only values of a given time point but also include all values within...

Decision-making activities are prevalent in human life. Many methods have been developed to address real-world decision problems. In some practical situations, decision-makers prefer to provide their evaluations over a set of criteria and weights. However, in many real-world situations, problems include a lack of weight information for the times, c...

Due to lack of indigenous conventional energy resources, renewable energy has become a potential alternative for Taiwan's future energy supply. Numerous studies have recently emerged on renewable issues in Taiwan. However, studies that specifically consider effects of various influential parameters on evaluation and selection of renewable energy so...

The increase in healthcare expenditure always becomes an issue considered by the National Health Insurance (NHI) program in Taiwan. Accordingly, analyzing the root cause is a significant first step in dealing with this issue. This study hypothesized that the greying population in Taiwan is the main reason that devours a vast health care expenditure...

Energy efficiency and conservation have become a concern as many issues raised up regarding the increase in energy usage. Besides lighting and HVAC, a conventional drinking water dispenser also consumes plenty of huge electric energy in a building. However, most of them are wasted in vain as the machine will constantly repeat boiling and cooling th...

An accurate electricity load prediction is important to optimizing building electricity load performance. However, building electricity load prediction is complex due to many influencing factors. This study develops a hybrid algorithm that combines clustering approach, empirical mode decomposition, and support vector regression to develop a predict...

One of the most critical impediments of developing offshore wind systems is the high maintenance cost that reduces the cost-effectiveness of projects. To increase the cost-effectiveness of offshore wind energy, an effective solution is to reduce the overall maintenance cost by improving the efficiency of maintenance activities. Although maintenance...

This paper assesses the currently applied subsidies of Taiwan government through economic criteria, shows some deficiencies of the currently applied subsidies, and proposes more appropriate subsidies for solving the deficiencies of the currently applied subsidies. Currently, Taiwan government has been adopting Feed-in-tariff (FIT) subsidy and offer...

This paper proposes an approach to analyze the economic feasibility of offshore wind energy under influences of government financial subsidies, dynamic weather conditions (including typhoon), taxation, expectation of investor, optimal maintenance schedule, generated electricity under real weather conditions, and benefits from reduction of CO2 emiss...

The Bass model offers several successful applications in forecasting the diffusion process of new products. Due to its potential and flexibilities, the application of this model is not only limited now to forecasting, but also extends to other fields such as analyzing a supply chain's responses, optimizing production plans, and so forth. This study...

Green supplier evaluation and selection plays a crucial role in the green supply chain management of any organization to reduce the purchasing cost of materials and increase the flexibility and quality of products. An interval neutrosophic set (INS)—which is a generalization of fuzzy sets, intuitionistic fuzzy sets (IFS) and neutrosophic sets (NS)—...

This paper proposes approaches to determine the optimal maintenance schedules for offshore wind system such that maintenance cost is minimized. The proposed approaches aim to provide the optimal maintenance schedules for each component using a dynamic approach and for multiple components by proposing an algorithm to optimize grouping multiple maint...

Advances in technology have promoted offshore wind energy being one of the most promising renewable energy sources. Offshore wind farms are usually positioned in an opened space far away from the seashore where the wind is strong enough to generate electricity effectively and reliably. However, due to location characteristic hard–to–reach, the oper...

In supply chain management, supplier selection play an important role for companies. To select the appropriate suppliers, many qualitative and quantitative criteria need to be considered in the decision process. Therefore, supplier selection and evaluation can be considered as a multi-criteria decision making (MCDM) problem in vague environment. Al...

Ranking fuzzy numbers is an important component in the decision-making process with the last few decades having seen a large number of ranking methods. Ezzati et al. (Expert Syst Appl 39:690–695, 2012) proposed a revised approach for ranking symmetric fuzzy numbers based on the magnitude concepts to overcome the shortcoming of Abbasbandy and Hajjar...

Due to an inexhaustible nature, offshore wind energy has become a potential alternative for many countries to overcome the anthropogenic negative impacts on the environment of fossil fuels. Offshore wind farms are usually positioned in an opened space far away from the seashore where the wind is strong enough to generate electricity effectively and...

We consider the problem of finding, in a simple polygon, from a starting point to a destination point, a piecewise path consisting of conic sections. By considering only one type of conic section, i.e., circular, elliptic, hyperbolic, or parabolic curves, we present an O(n) time algorithm for computing the path with the minimum number of conic sect...

Due to the challenge of rising public awareness of environmental issues and governmental regulations, green supply chain management (SCM) has become an important issue for companies to gain environmental sustainability. Supplier selection is one of the key operational tasks necessary to construct a green SCM. To select the most suitable suppliers,...

A better-performing project gains more subsequent businesses. Many organizations worldwide apply an earned value management (EVM) system to monitor and control their projects’ performance. However, a successful EVM application requires handling multiple interinfluenced criteria with feedback effects for decision-making and continuous improvements t...

Due to Taiwan's limited energy resources, the development of solar photovoltaic (PV) in Taiwan has become one of the most important solutions for meeting future energy supply needs and ensuring environmental protection. A huge amount of researches about renewable energy sources has emerged recently in response to these issues. However, the amount o...

The objective of this paper is to conduct an empirical study on the role of total quality management organisational culture (TQM OC) in enabling Taiwanese companies to achieve a high level of business excellence. TQM OC is defined by TQM artefacts (also called practices), TQM core values (which indicate management commitment, customer focus, focus...

The theory of concurrent engineering is based on the concept that the different phases of a product lifecycle should be conducted concurrently and initiated as early as possible within the product creation process. Concurrent engineering is important in many industries, including automotive, aerospace, shipbuilding, consumer goods and environmental...

Determining the arithmetic operations of fuzzy numbers is a very important issue in fuzzy sets theory, decision process, data analysis, and applications. In 1985, Chen formulated the arithmetic operations between generalized fuzzy numbers by proposing the function principle. Since then, researchers have shown an increased interest in generalized fu...

This research introduces an intelligent system for the quality assurance of Chinese medicine dispensing system using in Taiwan. A quality enhancing pharmacy dispensing system is made through the use of RFID techniques. The system may reduce the possibility of errors caused by human factors and ensure the quality for the Chinese pharmacy dispensing...

As rapid increasing of World-Wide Web technology, ontology and pervasive/ubiquitous concept become one of the most interesting parts recently. According to ubiquitous issue, activity modeling which has capability to provide proper context information of the user becomes important part of context awareness. In order to develop required services in i...