Cost minimization for unstable concurrent products in multi-stage production line using queueing analysis

This research and resulting contribution are results of Assumption University of Thailand. The university partially supports financially the publication.Purpose: The paper copes with the queueing theory for evaluating a muti-stage production line process with concurrent goods. The intention of this article is to evaluate the efficiency of products assembly in the production line. Design/Methodology/Approach: To elevate the efficiency of the assembly line it is required to control the performance of individual stations. The arrival process of concurrent products is piled up before flowing to each station. All experiments are based on queueing network analysis. Findings: The performance analysis for unstable concurrent sub-items in the production line is discussed. The proposed analysis is based on the improvement of the total sub-production time by lessening the queue time in each station. Practical implications: The collected data are number of workers, incoming and outgoing sub-products, throughput rate, and individual station processing time. The front loading place unpacks product items into concurrent sub-items by an operator and automatically sorts them by RFID tag or bar code identifiers. Experiments of the work based on simulation are compared and validated with results from real approximation. Originality/Value: It is an alternative improvement to increase the efficiency of the operation in each station with minimum costs.peer-reviewe

Efficiency in utilizing ICT infrastructure in developing countries: a case study of the Royal Thai Police\u27s attitudes to the adoption of an image retrieval application for eyewitness identification

One of the most important aspects of decision and policy making is the timely access to accurately and relevant information. At present the situation in some developing countries is that communication and exchange of information between the government agencies are still paper-based. It can often take weeks or months for one government agency to obtain the records it requires from another agency. The lack of communication between these agencies often results in duplication of efforts and inefficiencies. This lack of communication also means that agencies often produce more of the irrelevant albeit sophisticated information (such as the Statistics Division) than the essential information that is critical and actually needed by other agency for decision making. (World Bank report, 1998) In order to bring people into information society, to have access to information, it is crucial to have appropriate technology and applications that compatible with both old and new technologies—given that majority can not afford to keep up with new technologies being introduced everyday--as well as quality programming in indigenous languages, To create an information society in developing countries, we must first have knowledge of their past, understand their present. Only then participating in their future can be more probable and possible (Matsepe-Casaburri 1996) The overall aim of this study is to add value to the process of information sharing among the government departments in Thailand. It does this by analyzing the opportunity to integrate existing technology with the data available in existing databases and make it more valuable for future use. A case study of the Department of Local Administration, under the Ministry of Interior, and the Royal Thai Police Department is used to develop an understanding of how the utilization of data to a full extent can be beneficial in the government service. In Thailand, every Thai citizen is required to carry a national identity card. Personal data of each person such as date of birth, height, blood type, religion and occupation, including registered address and individual photograph image, are kept in the Central Registration Database Systems (CRDS). The CRDS is operated by the Department of Local Administration under the supervision of the Ministry of Interior. In order to maximize the benefits from this database, the CRDS is shared by other authorized government agencies. The Royal Thai Police Department is one of the government agencies that also share the information from the CRDS. Frequently, the individual registration database and photographs from CRDS are needed to support crime investigation. This research therefore, investigates how the Thai government could utilize the existing database system to aid in the crime investigation process. It then suggests an effective method of image retrieval to support police officers when searching criminal records from a Central Registration Database Systems. The research begins with an exploratory study of the use and sharing of information amongst the government agencies in developing countries. It examines the use of existing technology and how the Government uses technology to access information. There are two major objectives in this research. The first one addresses how value can be added to the present data in the existing system. The author chooses to focus on the area of crime investigation and evaluate two existing image retrieval methods, in order to determine the most suited one from crime investigation process in Thailand. The second objective is to examine and evaluate the attitudes and perceptions of the Thai police towards acceptance of IT usage in the crime investigation process. The results are then was compared with the literature on barriers to the adoption of IT and some of the more recently developed Technology Acceptance Models, which is also used to explain the findings

Performance evaluation of wireless local area network with congested fading channels

The IEEE 802.11ay wireless communication standard consents gadgets to link in the spectrum of millimeter wave (mm-Wave) 60 Giga Hertz band through 100 Gbps bandwidth. The development of promising high bandwidth in communication networks is a must as QoS, throughput and error rates of bandwidth-intensive applications like merged reality (MR), artificial intelligence (AI) related apps or wireless communication boggling exceed the extent of the chronic 802.11 standard established in 2012. Thus, the IEEE 802.11ay task group committee has newly amended recent physical (PHY) and medium access control (MAC) blueprints to guarantee a technical achievement especially in link delay on multipath fading channels (MPFC). However, due to the congestion of super bandwidth intensive apps such as IoT and big data, we propose to diversify a propagation delay to practical extension. This article then focuses on a real-world situation and how the IEEE 802.11ay design is affected by the performance of mm-Wave propagation. In specific, we randomize the unstable MPFC link capacity by taking the divergence of congested network parameters into account. The efficiency of congested MPFC-based wireless network is simulated and confirmed by advancements described in the standard

Evaluation of graphic effects embedded image compression

A fundamental factor of digital image compression is the conversion processes. The intention of this process is to understand the shape of an image and to modify the digital image to a grayscale configuration where the encoding of the compression technique is operational. This article focuses on an investigation of compression algorithms for images with artistic effects. A key component in image compression is how to effectively preserve the original quality of images. Image compression is to condense by lessening the redundant data of images in order that they are transformed cost-effectively. The common techniques include discrete cosine transform (DCT), fast Fourier transform (FFT), and shifted FFT (SFFT). Experimental results point out compression ratio between original RGB images and grayscale images, as well as comparison. The superior algorithm improving a shape comprehension for images with grahic effect is SFFT technique

A Model for Self Similar Search in Image Database with Scars

In Thailand, the entire Thai citizens are required to carry a national identity card. Therefore, a personal data of each person such as date of birth, weight, height, blood type, religion, occupation, registered address and individual photograph image are kept in the Central Registration Database Systems (CRDS) operated by the Department of Local Administration under the supervision of the Ministry of Interior. And in order to increase the efficiency of the internal administration, this Central Registration Database can be utilized and shared by other authorized government agencies at their best interest. The Thai Royal Police Department and the Crime Combat Section are one of the government agencies that share the information from the CRDS. Frequently, individual registration database and photographs are needed for the crime investigation. In previous research, the author proposed a method called “self-similarity search” to handle searching for photographs image database (PID) to support police officers when searching criminal records [18]. By using the proposed method in comparison with the sequential search employed a database search. As a result the proposed method is faster than sequential searching and requires less space. In this research, it is aimed at the refinement of attribute, which will guarantee much faster result when using our proposed searching method provided that scars of suspected person has been earlier foun

Simulation for predictive maintenance using weighted training algorithms in machine learning

In the production, the efficient employment of machines is realized as a source of industry competition and strategic planning. In the manufacturing industries, data silos are harvested, which is needful to be monitored and deployed as an operational tool, which will associate with a right decision-making for minimizing maintenance cost. However, it is complex to prioritize and decide between several results. This article utilizes a synthetic data from a factory, mines the data to filter for an insight and performs machine learning (ML) tool in artificial intelligence (AI) to strategize a decision support and schedule a plan for maintenance. Data includes machinery, category, machinery, usage statistics, acquisition, owner’s unit, location, classification, and downtime. An open-source ML software tool is used to replace the short of maintenance planning and schedule. Upon data mining three promising training algorithms for the insightful data are employed as a result their accuracy figures are obtained. Then the accuracy as weighted factors to forecast the priority in maintenance schedule is proposed. The analysis helps monitor the anticipation of new machines in order to minimize mean time between failures (MTBF), promote the continuous manufacturing and achieve production’s safety