Chawalit Jeenanunta

Application of Support Vector Classification Algorithms for the Prediction of Quality Level of Frozen Shrimps ( Litopenaeus vannamei ) Suitable for Sensor-Based Time-Temperature Monitoring

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 isothermal and fluctuating temperature conditions were found significantly different (p < 0.05). In order to classify products into binary classes of quality due to abusive and non-abusive handling (1, −1), useful features of the time-temperature curve were extracted to train the network using support vector classification (SVC). It was generally possible to classify shrimps based on end-of-storage quality by the available kernels; however, the radial basis function (RBF) was found to be the most suitable in terms of best fit and lower cost of calibration. The evaluation of the SVC kernels was done in terms of sensitivity and specificity values which were 0.962 and 0.992 in the case of RBF, respectively, whereas other kernels, polynomial and sigmoid, showed signs of over-fitting. The classification models were selected on the basis of root mean squared error (RMSE), mean absolute error (MAE), and other standard error measuring procedures. An independent cross validation procedure of the developed models was performed using a different set of data (n = 18) against the model predicted values which lower root mean squared error (RMSE) terms (0.026–2.44) for all the quality indices, which confirmed the validity of the SVC technique.

Knowledge transfer of outward foreign direct investment by Thai multinational enterprises

The study focuses on Thai outward investment. We investigated the key reasons to invest and the process of knowledge transfer. This study provides three cases of Thai multinational enterprises (MNEs) that are successful in their oversea investment. According to our cases, the key reasons for investing oversea include market expansion, resource seeking and capability augmenting. Thai MNEs also actively looked for the strategic position for future market expansion in developing countries. Moreover, Thai MNEs also learned the new technological know-how and cutting-edge technology from developed countries.

An Optimal Constrained Pruning Strategy for Decision Trees

This paper is concerned with the optimal constrained pruning of decision trees. We present a novel 0--1 programming model for pruning the tree to minimize some general penalty function based on the resulting leaf nodes, and show that this model possesses a totally unimodular structure that enables it to be solved as a shortest-path problem on an acyclic graph. Moreover, we prove that this problem can be solved in strongly polynomial time while incorporating an additional constraint on the number of residual leaf nodes. Furthermore, the framework of the proposed modeling approach renders it suitable to accommodate different (multiple) objective functions and side-constraints, and we identify various such modeling options that can be applied in practice. The developed methodology is illustrated using a numerical example to provide insights, and some computational results are presented to demonstrate the efficacy of solving generically constrained problems of this type. We also apply this technique to a large-scale transportation analysis and simulation system (TRANSIMS), and present related computational results using real data to exhibit the flexibility and effectiveness of the proposed approach.

Airline crew rostering problem using particle swarm optimization

The issue of effective Airline crew rostering problem has been an ongoing issue for airline operation and many studies have tried to investigate and find ways to improve the crew rostering application. Airline crew rostering is a process to generate a timetable for crew members which is aligned with Occupational Health and Safety Policies. A fair and sensible roster can help to improve service quality and crews enthusiasm. The main objective of this paper is to propose a particle swarm optimization to solve the airline crew rostering problem by assigning appropriate balance workload for each crew member. The proposed method has been tested on real data from Thai Airways. Computational performance of the proposed method is presented and analyzed. The results are to show that the new method is effective.

Developing Evaluation Criteria for Partner Selection in Tourism Supply Chain Networks

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 effectively. This paper suggests the evaluation criteria proposed to assist tourism firms to effectively make a decision on selecting partners to start working with. In developing criteria, the authors first reviewed the available criteria in the other contexts, then conducted qualitative research using buyer and supplier firms in Thailand by in-depth interviewing with ten experts to refine and to verify these criteria proposed. After statistical verification, the results indicated that the proposed criteria consist of five main categories: performances, profiles, risk factors, products characteristics and compatibilities. This study contributes the useful knowledge on how to select partners and manage partnerships effectively in tourism supply chain.

Human resource development for technological capabilities upgrading and innovation in production networks: a case study in Thailand

ABSTRACT 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 innovation milestones are identified. We also examine how HRM and human resource development (HRD) are utilized to improve innovation and technological capabilities. From our results, we conclude that top management plays an important role in HRM/HRD to improve a firm’s innovation and technological capabilities. Systematic recruitment, selection, training and development are needed to achieve organizational strategies. Career path development and a reward system are important motivators for employee retention.

A multi-commodity flow approach for aircraft routing and maintenance problem

Aircraft routing and maintenance scheduling is a large-scaled and complex optimization undertaking that assigns an aircraft of each fleet type to each flight whilst satisfying maintenance regulations, shifts time of workers and other requirements. This paper presents the aircraft routing and maintenance scheduling problem for both international flights and domestic flights of Thai Airways with the major focus on minimizing the total waiting time for maintenance checks in order to reduce expense. The various test cases are generated from Thai Airways data set and solved by using the commercial optimizer, IBM ILOG CPLEX.

The role of quality control circles on new product development: A case study of Thailand

Abstract 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 related to the adoption and QCC experience sharing within a firm and with customers/suppliers. Survey data from 1,381 Thai manufacturing firms were collected and used to examine the research hypotheses using logistic regression analysis. The findings show that the firms that operate a QCC, disseminate QCC experiences across departments within the firm, and share QCC experiences with customers and suppliers are more likely to introduce a new product by packaging redesign and by significantly improving existing products. Sharing knowledge and experience of QCC groups facilitates the creation of innovative ideas, which influences the success of NPD. It provides new empirical evidence and extends the body of knowledge related to QCCs, quality management, knowledge sharing, and new product development.

Stochastic unit commitment model for power system with renewable energy

The renewable energy plays an important role in the modern power system. However, the power output from the renewable energy highly depends on the environments and therefore has uncertainty issue. In this paper, we propose a stochastic expected recourse model for the system with the renewable energy. The proposed model is applied to a case study and the effect of renewable energy on the power system is analyzed.

The influences of knowledge management on innovation within formal and non-formal R&D manufacturing firms, Thailand

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 analysis is gotten from 112 manufacturing firms, located in Thailand. This analysis is theoretically analyzed by using multiple linear regression. The objective of this paper is to examine the influence of knowledge management on product and process innovation within formal and non-formal R&D manufacturing firms. The results indicate that the formal R&D firms tend to perform knowledge management better than the non-formal R&D firms in both product and process innovation.