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The impact of logistics service quality through the perceived organizational image on performance: cold chain logistics provider in Thailand
(2024-12-01)
Boonchunone, Surasidh
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Nami, Mariam
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Krommuang, Atchari
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Karnpakdee, Chumpol
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Suwunnamek, Opal
The impact of logistics service quality and perceived organizational image on firm performance, are explored using the structural equation modeling analysis for Thailand's cold chain logistics provider. The objectives of this study were to direct, indirect, and total impact of logistics service quality through perceived organizational image on the performance of cold chain logistics providers, assessed by customers receiving services from cold chain logistics service companies. This quantitative research method uses a questionnaire to collect data from 541 respondents. Moreover, the results obtained from logistics service quality have a significant enhancing effect on the perceived organizational image, and both have significant positive effects on performance. Additionally, the role of the perceived organizational image as a mediating variable between logistics service quality and performance is emphasized. Logistics service quality has the most direct significant effect on perceived organizational image. Additionally, corporate image perception significantly mediates the relationship between service quality and logistics efficiency. These findings have contributions, relevant support, and benefits in academic, managerial, and important implications for cold chain providers in Thailand. It empirically demonstrates that the impact of logistics service quality can be supported through the perceived organizational image. This image is built on past experiences, emotions, and perceptions about the organization's reputation and the quality of its logistics services, including management logistic flow.
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Swarm Intelligence Algorithms and Their Applications
(2024-09-01)
Tansui, Daranat
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Thammano, Arit
Background and objectives: Algorithms inspired by the behavior of living organisms have been developed to apply principles from nature to solve problems in various aspects of daily life, e.g., in science, medicine, engineering, technology, and business management. The developed algorithms follow two main ideas. First, evolutionary algorithms use Darwin's principle of natural selection to choose the most suitable organisms in an unforgiving environment. Second, Swarm Intelligence Algorithms mimic the collaborative behavior of groups of living things, such as flocks of birds or schools of fish. The applications of these algorithms include medical data analysis for disease diagnosis, resource allocation planning in construction projects, traffic system design for improved safety, genetic data analysis to find relationships between genes and diseases, and business data analysis to predict customer buying behavior. These algorithms help increase efficiency, accuracy, and sustainability in solving various problems by applying principles inspired by nature. This article aims to explain working principles and performance, the advantages, disadvantages, and applications of Swarm Intelligence algorithms. Methodology: The main research steps were the following: 1. Studying and collecting research documents on 10 algorithms: Ant Colony Optimization, Artificial Bee Colony Algorithm, Bat Algorithm, Particle Swarm Optimization, Flower Pollination Algorithm, Weed Optimization Algorithm, Bee Colony Optimization, Cuckoo Search Algorithm, Bird Flocking Algorithm, and Chicken Swarm Optimization. 2. Analysis of working principles and efficiency of 10 algorithms. 3. Analyzing the advantages and disadvantages of the 10 algorithms. 4. Summarizing the applications of the 10 algorithms. 5. Research results and conclusions. Key findings: This article summarizes the applications of algorithms inspired by the behavior of living organisms to solve various daily life problems in fields such as science, medicine, engineering, technology, and business management. It also aims to explain the advantages and disadvantages of these algorithms in solving complex problems in various aspects of daily life, especially to efficiently achieve sustainable development in society and business. Some applications are such as the following: using intelligent algorithms in medical data analysis for disease diagnosis and environmental management; applying algorithms to analyze medical images for efficient diagnosis and treatment; utilizing algorithms in engineering and technology for infrastructure planning and design to enhance safety and operational efficiency; and using algorithms in business management for data analysis to predict customer behavior and marketing strategies. Implications: Swarm Intelligence algorithms, inspired by the collective behavior of living organisms, are valuable across various fields. In science, they can be utilized to locate underground oil or mineral resources through a network of sensors that collaborate to enhance efficiency in resource detection. In medicine, they aid in analyzing medical images for disease diagnosis and in complex surgeries by directing the movement of surgical robots, emulating precise, cooperative animal actions. In engineering, swarm algorithms improve intelligent traffic systems, simulating vehicle flows to alleviate congestion and plan safer routes. For technology, swarm-inspired collaborative robots excel in manufacturing, coordinating seamlessly with one another in intricate production lines. In agriculture, they are employed for managing smart farms and controlling drones for pest management. In business, swarm algorithms assist in analyzing consumer behavior by examining purchasing patterns, enabling accurate forecasting and adjustments to marketing strategies to better meet customer needs. Conclusions: This review found that Swarm Intelligence algorithms were that the 10 swarm intelligence algorithms have different working principles and performance when applied in various tasks, along with their own advantages and disadvantages and limitations in solving problems, with some algorithms being more effective in certain areas. This article also concludes that some types of algorithms can solve complex problems and can be applied in 5 different areas comprehensively. This review may be beneficial to algorithm developers and users alike.
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A performance evaluation for Internet of Things based on Blockchain technology
(2019-07-01)
Vatcharatiansakul, Nuttakit
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Tuwanut, Panwit
In this paper, the performance evaluation for Internet of Things based on blockchain Technology is proposed. In a blockchain network, all IoT devices communicate and synchronize with each other and allow device to transact with each other directly without the need of trusted intermediary. IoT devices have a smart contract associate with them which are deployed on the blockchain network. User or device who wish to use a service can transact to smart contract that associated with IoT device. Moreover, all transactions of IoT device, device-to device or human-to-device, will not only permanently store on Blockchain network but also gain the security and privacy of them. In this implementation, a private Ethereum network is chosen to use as a blockchain platform and the raspberry pi act as a lightweight node to transact with a smart contract in a full node which install on PC desktop. In addition, the performance evaluation of two realistic traffic flow, store and access transactions, such as latency, execution time and throughput are highlight.
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PDLC film's energy consumption and performance for light filtration system
(2018-08-20)
Keyoonwong, Wiwat
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Khan-Ngern, Werachet
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Ruxsri, Paritpong Tavichaiyut Viritpol
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Raksasataya, Vishnu
This paper proposes to record the result of energy consumption and light transmission rate when using PDLC film with green insulated glass, at size lxl sq.m. with 6-12-6 mm. standard thickness. The result of energy consumption and performance in protecting from the sun light are explained. The PDLC energy consumption characteristic and its principle are described. The methodology to test the performance of PDLC film with green insulated glass also incuded. The result indicated that different voltage source level will also be able to affect the light transmission rate. From experiment found that at level 0 volt had a light transmission rate at 22.3 percent, level 15 volts at 28.8 percent, level 30 volts at 32.0 percent, level 45 volts at 33.2 percent, level 55 volts at 33.4 percent and level 70 at 34.0 percent, respectively. All of these values were compared with direct light intensity from outside. In the future, it can be used in purpose for energy saving inside building.
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Performance test of low-complexity visible light communication system
(2017-07-02)
Luckyarno, Yakub Fahim
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Namonta, Pornchanok
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Cherntanomwong, Panarat
A visible light communication (VLC) is an optical wireless communication technology that developed rapidly in recent years. The most common application of it is for indoor communication. Many researchers already conducted researches in various fields of this technology, but only a few researchers conducted the research based on the standard. Some of them conducted simulation-based but not hardware-based research. This research proposes a low-complexity system based on the IEEE 802.15.7 standard PHY I. It consists of a pair of transceivers. The transceiver consists of the LED with the lens as the transmitter and the high-speed photodiode as the receiver. This research focuses on how the PHY I-based system performs by testing the system using some parameters, which are throughput, distance, bit error rate (BER), and types of files. The expected result is that the system can send various-size data of any file with a data rate of 100 kbps, low BER, and in a far distance. This paper will explain further information in detail.
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Comprehensive characterization of a novel UWB elliptical planar monopole antenna
(2012-12-01)
Marindra, Adi Mahmud Jaya
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Promwong, Sathaporn
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Takada, Jun Ichi
The rise of research in ultra wideband (UWB) antenna design must be followed by a proper method of antenna characterization. The emerging concept of UWB impulse radio (UWB-IR) compels the performance evaluation of UWB antenna should be assessed in different ways from narrowband antennas. In this paper, a comprehensive characterization of UWB antenna will be discussed. Based on the theory of antenna transfer function in frequency domain, some UWB transmission parameters in time domain are derived, i.e. waveform correlation, waveform width stretch ratio, and waveform relative gain. For practical testing, we propose a novel UWB elliptical planar monopole antenna as the characterized antenna. The results show that the overall performance and characteristic of the proposed antenna is very good, especially at the antenna boresight. The derived parameters can quantitatively characterize the UWB antenna for all the measured directions so that the detail of transmission performance of the UWB antenna could be known. Hopefully, the characterization scheme with the proposed antenna presented in this paper provide useful insight either for UWB antenna design or for evaluating UWB antenna performance. © 2012 IEEE.

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