Chawalit Jeenanunta

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• PhD
• Deputy Director for Administration at Thammasat University

In the context of the architecture and construction industries implementing environmentally friendly sustainable solutions, smart glass is also designed using sustainable materials and sustainable operations, contributing to environmental protection efforts. The application of smart glass in large buildings optimizes the buildings’ operation, helpi...

Vietnam has a coastline of over 3260 km and an exclusive economic zone extending 200 nautical miles, providing favorable conditions for the development of wave energy. Exploring and harnessing this endless energy source to maximize the use of the available resources is essential for sustainable economic development. According to research conducted...

Introduction Energy consumption in office environments significantly impacts global energy usage, particularly due to lighting, air conditioning, and electronic devices. Urbanization and economic growth in Thailand exacerbate energy demands, positioning office environments as essential for energy conservation efforts. Traditional strategies have pr...

With rapid urbanization and industrialization, Vietnam is facing many challenges in solid waste management and increasing energy demand. In this context, the development of renewable energy from solid waste not only solves the problem of environmental pollution but also makes an important contribution to energy security and sustainable economic dev...

This study investigates the influence of Top Management Team Competencies (TMTCs) and Middle-Tier Managers’ Competencies (MMCs) on the intention to adopt Industry 4.0 (I4.0) technologies in Thailand and Vietnam. Utilizing a quantitative approach with Partial Least Squares Structural Equation Modeling (PLS-SEM), data from 100 manufacturing firms rev...

Adopting Industry 4.0 (I4.0) is inevitable for Thailand’s manufacturing sector to remain competitive because global markets increasingly demand higher quality, faster delivery, and greater customization. While firms need to enhance productivity and optimize resource utilization, they also need to reduce operation costs, which require advanced techn...

This study investigates the comparative analysis of the divergent pathways of sustainable energy development in Thailand and Japan. It offers a nuanced analysis of their policy frameworks, technological advancements, and socioeconomic contexts. This study elucidates the distinct strategies of the two nations by leveraging a robust dataset from sour...

The increasing use of Renewable Energy (RE), the influence of forecasted load error, and Electric Vehicles (EVs) add significant uncertainty and variables to power system Unit Commitment (UC) planning. For addressing this challenge, this paper proposes a Fuzzy Mathematical Mixed-Integer Linear Programming (FMMILP) approach for daily UC that incorpo...

This study investigates whether teamwork or individual effort is more effective in solving complex problems using a well-known business simulation game called ERPSim. ERPSim has been used in management education and training and has had widespread use in the last decade. Business decisions are highly dependent among departments, highly dynamic, and...

In large-scale monthly unit commitment (MUC), the generation system is committed to a schedule list of available generating units and available fuel provision for each day in a whole month. Despite challenging numerous operational restrictions, fluctuating factors such as load demand, fuel price affect the decision-making on generating electricity...

Short-term load forecasting (STLF) plays a pivotal role in the electricity industry because it helps reduce, generate, and operate costs by balancing supply and demand. Recently, the challenge in STLF has been the load variation that occurs in each period, day, and seasonality. This work proposes the bagging ensemble combining two machine learning...

The vehicle routing problem and its variants are staples in addressing logistics problems. This widespread practicality combined with the computation complexity of these problems has led to a significant amount of research through the years. In this paper, a learning enhanced golden ball algorithm is developed to address the vehicle routing problem...

Manufacturers are aware of Industry 4.0 trends due to the new technologies and the transformation of processes that require new competencies of employees and an integrated system in the supply chain network. The purpose of this paper is to examine the role of a leader through a transformational leadership style and the effect of a customer’s smart...

This research proposes a new training algorithm for artificial neural networks (ANNs) to improve the short-term load forecasting (STLF) performance. The proposed algorithm overcomes the so-called training issue in ANNs, where it traps in local minima, by applying genetic algorithm operations in particle swarm optimization when it converges to local...

Electricity demand is typically affected by many exogenous and endogenous factors to which utility generation, transmission, and distribution systems respond accordingly. The outbreak of COVID -19 caused a sudden change in every aspect in many countries. The number of cases increased exponentially from mid-March 2020 in Thailand. The Thai governmen...

There are many digital transformation challenges going forward towards Industry 4.0 in Thailand, especially for the traditional manufacturing firms that have been operating without digital technologies. The paper presents a case study of a safety shoe manufacturer, CPL Group Public Company Limited, adopting digital technologies to transform its pro...

The next-day load forecasting is complex due to the load pattern variations driven by external factors such as weather and time. This study proposes a hybrid model that incorporates the Classification And Regression Tree (CART) with pruning conditions and a Deep Belief Network (DBN) to improve forecasting accuracy. The CART can recognize the load p...

The pressing process is a part of the fabrication process of multi-layer printed circuit board (PCB) manufacturing. This paper presents the application of a new mixed-integer linear programming model to the short-term scheduling of the pressing process. The objective was to minimize the makespan. The proposed model is an improvement from our previo...

The novel Coronavirus (COVID-19) is an infectious disease that is currently causing challenges and opportunities in all sectors worldwide. The logistic industry plays an enormous role in keeping the countries functional, and it accounts for 13.4 % of the total GDP in Thailand. This article aims to identify and justify critical success factors for t...

The coronavirus pandemic is a crisis that disrupts the global supply chain and slows down the world economy. A significant challenge for the companies in the manufacturing sector is to mitigate risks related to the COVID-19 outbreak. Grounded in the resilience theory, resilience (i.e., prepare, prevent, protect, respond, and recover processes) aims...

This paper empirically examines the effects of customers who invested in Information and Communication Technologies (ICTs) on the technological capabilities of a firm for upgrading toward Industry 4.0. This paper focuses on three groups of firm technological capabilities such as production planning, inventory management, and data analysis. Each gro...

The main stages of printed circuit board (PCB) manufacturing are the design, fabrication, assembly, and testing. This paper focuses on the scheduling of the pressing process, which is a part of the fabrication process of a multi-layer PCB and is a new application since it has never been investigated in the literature. A novel mixed-integer linear p...

This paper proposes a simulation-optimisation technique to determine an optimal order-up-to level for a single product in a periodic review inventory system. A vital aspect of the problem is that the replenishment lead time is much longer than the review period. Customer demands are stochastic, discrete, and intermittent, and the lead times are sto...

Abstract: Engineers are crucial for upgrading a firm's technological capabilities and promoting innovation. This study empirically investigated the effects of engineer problem-solving capabilities (antecedent variable) on product and process innovation, using engineer managerial capabilities and engineer involvement in innovative activities with ot...

Engineers are crucial for upgrading a firm's technological capabilities and promoting innovation. This study empirically investigated the effects of engineer problem-solving capabilities (antecedent variable) on product and process innovation, using engineer managerial capabilities and engineer involvement in innovative activities with other depart...

Manufacturing and service industries use motion time study to determine work element time and standard time for production planning and process improvement. Traditional time study is performed by human analysts with stopwatches, and therefore, is subject to uncertainties from human errors. This study proposes an automated time study model featuring...

Joining global supply chain networks helps firms to enhance innovation performance as firms need to satisfy various standard requirements from overseas customers. From the global value chain theory, there is no evidence on what types of supply chain ownership structures help firms to achieve more innovation. This deficiency led us to investigate ty...

Human resource management (HRM) practices for promoting innovation tend to vary from one context to another. This leads us to investigate the configurations of internal HRM practices and supply chain collaborations that help firms to achieve high levels of product innovation or cause firms to achieve low levels of product innovation in formal R&D f...

Particle Swarm Optimization (PSO) is popular for solving complex optimization problems. However, it easily traps in local minima. We modify the traditional PSO algorithm by adding an extra step and called PSO-Shock. The PSO-Shock algorithm initiates similar to the PSO algorithm. Once it traps in a local minimum, it is detected by counting stall gen...

Smart factory is a fully-integrated of firm’s facilities (i.e., sensors, smart machines, and robots) and information system architecture (i.e., IoT, ICT, and cloud computing) to enable high degree of automation in manufacturing processes. IT knowledge capability is the IT knowledge organization that how employees understand IT knowledge in differen...

This paper proposes a simulation-optimisation technique to determine an optimal order-up-to level for a single product in a periodic review inventory system. A vital aspect of the problem is that the replenishment lead time is much longer than the review period. Customer demands are stochastic, discrete, and intermittent, and the lead times are sto...

This book constitutes the refereed proceedings of the 8th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2020, held in Phuket, Thailand, in November 2020.* The 35 full papers presented were carefully reviewed and selected from 55 submissions. The papers deal with all aspects of uncertainty modelli...

Particle Swarm Optimization (PSO) is a powerful meta-heuristic technique which has been maneuvered to solve numerous complex optimization problems. However, due to its characteristics, there is a possibility to trap all particles in a local minimum in the solution space and then they cannot find the way out from the trap on their own. Therefore, we...

Information and communication technology (ICT) is considered as a determinant of innovation and enhances the efficiency of a manufacturer. A compatible and integrated ICT system among supply chain partners can enhance the effectiveness of the information sharing in a supply chain. This paper investigates how a customer’s investment in ICT and inves...

Current results of direct relationships between collaboration and innovation capability on performance in tourism contexts are inconsistent. This research is to uncover roles of collaborative routines on promoting relationships between internal and service innovation capabilities as two distinct mechanisms, and performance. The study also examines...

This research proposes a new training algorithm for artificial neural networks (ANNs) to improve the short-term load forecasting (STLF) performance. The proposed algorithm overcomes the so-called training issue in ANNs, where it traps in local minima, by applying genetic algorithm operations in particle swarm optimization when it converges to local...

Short-term load forecasting is to forecast the next day electricity demand for 48 periods and it is important to make decisions related to the electricity generation and distribution. Neural network (NN) is selected for forecasting the future electricity consumption since its ability of recognising and learning nonlinear patterns of data. This rese...

The objective of this paper is to empirically investigate the important role of knowledge sharing approaches (KSAs) as mediators between internal knowledge sources (IKSs) and Firm Innovation. There are 111 surveys collected from presidents, owners, directors, managers, and chief executive officers of Thai manufacturing firms in 2016. Results indica...

The vehicle routing problem with backhauls and time windows (VRPBTW) aims to find a feasible vehicle route that minimizes the total traveling distance while imposing capacity, backhaul, and time-window constraints. We present an enhanced artificial bee colony algorithm (EABCA), which is a meta-heuristic, to solve this problem. Three strategies -a f...

An external source becomes one of important factors for sustaining long-term competitions. However, little is known about whether collaborative relationships enhance innovation capability and consequently firm performance in hospitality contexts. The purpose of this paper is to examine complex relationships of collaboration, innovations and perform...

his paper addresses the distribution network design problem in a complex four-echelon supply chain system that includes factories, internal warehouses, external warehouses and customers. The distribution network contains a large number of products and considers 20 periods of planning horizon. Product deliveries are made using two shipment methods,...

This paper suggests a support vector regression model to make short-term load forecasting in Thailand by different training inputs. The primary objective of this paper is to describe the importance of data pre-processing and the external factors for accurate forecasting. The Electricity Generating Authority of Thailand (EGAT) provides the half-hour...

Firm performance is important from both research and practical perspectives. Business owners and management must try to improve firm performance in order to stay competitive. The objective of this study was to study the impacts of leadership styles on logistics companies. We investigated the effects of leadership on firm performance in the logistic...

The quality control circle (QCC) is a well-known quality management tool, and it has been widely adopted in the manufacturing industry. However, there is a lack of literature on the relationship between the role of QCC practices and new product development (NPD). This study investigates how a firm’s achievement of new product introduction is relate...

Providing predictive information is expected to be an effective way in reducing congestion because travellers can have information of future traffic conditions and plan their travel ahead of time. However, due to the complex and computational expense of traffic flow forecasting, only short horizon future travel times can be generated and provided,...

The objective of this paper is to investigate the human resource management (HRM) and coordination activities for innovation in production network. We consider three manufacturing firms in this study, Global Green Chemicals Public Company Limited, Thaioil Public Company Limited and Siam Cement Group Chemicals Company Limited. In each case, the key...

Effective partnership management is a crucial strategy for tourism firms in designing the services successfully as well as gaining the advantages dynamically. Literature suggests that the successful partnerships may be initiated at the beginning of selection process; however, there is a dearth of research on how to manage tourism partnerships effec...

This paper involves a mathematical model of a multiple product allocation problem for a distribution network in Thailand. The distribution network includes four members: one factory, one internal warehouse, three external warehouses, and many customers. The problem considers multiple products, differentiated by quality level, package, and product m...

Thailand moves from an agriculture to manufacturing and service country, so strengthening in Science, technology, and innovation (STI) are important to guarantee a sustainable economic development. To gain more competitive advantage in manufacturing industry, developing in product and process innovation are necessary. An empirical statistical analy...

How firms utilize collaboration on managing resource-based knowledge for innovation is a crucial question for hospitality industry. The purpose of the study is to examine the impacts of knowledge transfer and technical services learning, in enhancing search and acquisition process, on innovation. A 181 stratified hotel sample in Thailand was collec...

The transportation cost is a major cost in supply chain that logistic service providers (LSPs) would like to minimize. By implementing backhaul, LSPs can increase profit and gain competitive advantage. However, only a few LSPs has joined backhauling partnership in Thailand. The studies related to factors affecting a backhauling partnership are scar...

Recognizing of non-linear patterns of time series and forecasting them for the future are not easy. Especially, in electricity forecasting, many external factors affect electricity consumption. Therefore, electricity demand series have awkward patterns influenced by external factors such as temperature, holidays, weather, and population. Use of cau...

Traffic information systems have been considered to play an important role in reducing traffic congestion. Understanding the effects of information provision to the network performance is crucial before real implementation of the systems. In this paper, we investigated the effect of provision of predictive information with short prediction horizon....

Modern-day firms need to become more innovative while complying strictly with increasingly complex legal and regulatory requirements and fulfilling their corporate social responsibility (CSR) for multiple stakeholders. How to turn legal, regulatory, and voluntary requirements into business opportunities is a new managerial challenge for firms. This...

Electricity demand forecasting is a nonlinear and complex problem. It consists of three levels, including long-term forecast for new power plant planning, medium-term forecast for maintenance scheduling and inventory of fuel, and short-term forecast for daily operations. There are many statistical forecasting techniques applied to short term load f...

In order to achieve successful innovation, firms have to elevate their capability for innovation. ICT becomes one of essential tools of business management. The aim of this papers to examine the causal relationship between ICT use and innovation capability. Based on survey data from four ASEAN economies of Indonesia, the Philippines, Thailand, and...

Social Networks are becoming one of powerful channel of transaction. Customers are comfortable to shopping online and easy to switch their mind to other competitors as well. Hence, sellers have to find the suitable techniques to get competitive advantage to maintain customers’ loyalty. E-tail qualities, including information and graphic designs, we...

Thailand’s logistics demand has been growing significantly in Thailand. The value of Thailand logistic cost is about 1.64 billion baht accounted for 15.2 percent of the gross domestic product (GDP) at current prices and 7.2 percent of total logistics cost is from transportation cost. Logistics service providers have more concern and intention to im...

Carbon tax policy is a cost-effective instrument for emission reduction. However, setting the carbon tax is one of the challenging task for policy makers as it will lead to higher price of emission-intensive sources especially the utility price. In a large-scale power generation system, minimizing the operational cost and the environmental impact a...

Collaborative advantage is one of the main sources for sustaining competition in hotel businesses. Firms that have more collaboration can gain more innovativeness. This concept is highly necessary in service-based industries. However, there is a lack of research empirically investigating such issues especially in hospitality sectors. This study the...

The airline crew scheduling problem is a combinatorial optimization problem and belongs to the class of NP-hard problems. An effective method for solving the airline crew scheduling problem can reduce the crew costs and improve crew satisfaction. Because of its complexity, the problem is divided into two subproblems: the crew pairing problem and th...

This paper proposes the hybrid approach to deal with multi-experts multi-attribute decision making (MEMADM) problem with linguistic assessments, in which judgments are expressed in linguistic terms, providing by multiple experts. The main motivation of this study is that to avoid information loss by eliminating the linguistic representation and app...

Classification of frozen shrimps (Litopenaeus vannamei) at the end-of-storage period in terms of physical, chemical, microbial and sensory attributes is demonstrated in this paper. The quality parameters of frozen shrimps stored in iso-thermal and fluctuating temperature conditions were found significantly different (p<0.05). In order to classify p...

This book explores current trends in seafood science and examines various related topics including isolation aspects and different methodologies involved in seafood production. It provides detailed explanations about marine species such as fish, seaweed, and crustaceans and discusses their health benefits as well as the health risk for consumption....

This paper examines factors that encourage firms in Thai automotive and electronics industries to enter into supply chain collaborations (SCCs) and relationships between SCCs and supply chain performance (SCP) using a questionnaire survey in 2012. The results of ordinary least squares regression show that firms that established a supplier evaluatio...