• The Korean Journal of Pesticide Science
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• v.16 no.4
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• pp.406-408
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• 2012

• International Journal of Railway
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• v.6 no.4
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• pp.131-138
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• 2013

We have studied the financial performance of Pakistan Railways and found that the financial indicator (net earnings ratio) of Pakistan Railways is consistently decreasing over the years, causing severe financial and operational crises. The implication of our study indicates that the '3Rs' Strategy (retrenchment, repositioning and reorganizing) should be put into practice and furthermore, favorable changes in environmental factors can also contribute towards organizational turnaround. This study would help the Government of Pakistan to think and plan more clearly about turnaround strategies that could improve the performance and growth of Pakistan Railways.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.64
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• pp.53-62
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• 2001

In make-to-order manufacturing, if orders are processed and promise first-served base, then the urgent orders from important customers in .practice, orders are not confirmed upon receipt; and delayed as uncertainty of due date causes significant waste of cost and time. propose a new concept of reserved capacity as an alternative to accommodate the urgent orders from important customers, while the due dale of all of orders arrival; and suggest a flew operational policies.

• Journal of Educational Research in Mathematics
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• v.9 no.2
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• pp.383-404
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• 1999

This study began with an epistemological question about the nature of mathematical cognition in relation to the learner's activity. Therefore, by examining Piaget's 'reflective abstraction' theory which can be an answer to the question, we tried to get suggestions which can be given to the mathematical education in practice. 'Reflective abstraction' is formed through the coordination of the epistmmic subject's action while 'empirical abstraction' is formed by the characters of observable concrete object. The reason Piaget distinguished these two kinds of abstraction is that the foundation for the peculiar objectivity and inevitability can be taken from the coordination of the action which is shared by all the epistemic subjects. Moreover, because the mechanism of reflective abstraction, unlike empirical abstraction, does not construct a new operation by simply changing the result of the previous construction, but is forming re-construction which includes the structure previously constructed as a special case, the system which is developed by this mechanism is able to have reasonability constantly. The mechanism of the re-construction of the intellectual system through the reflective abstraction can be explained as continuous spiral alternance between the two complementary processes, 'reflechissement' and 'reflexion'; reflechissement is that the action moves to the higher level through the process of 'int riorisation' and 'thematisation'; reflexion is a process of 'equilibration'between the assimilation and the accomodation of the unbalance caused by the movement of the level. The operational learning principle of the theorists like Aebli who intended to embody Piaget's operational constructivism, attempts to explain the construction of the operation through 'internalization' of the action, but does not sufficiently emphasize the integration of the structure through the 'coordination' of the action and the ensuing discontinuous evolvement of learning level. Thus, based on the examination on the essential characteristic of the reflective abstraction and the mechanism, this study presents the principles of teaching and learning as following; $\circled1$ the principle of the operational interpretation of knowledge, $\circled2$ the principle of the structural interpretation of the operation, $\circled3$ the principle of int riorisation, $\circled4$ the principle of th matisation, $\circled5$ the principle of coordination, reflexion, and integration, $\circled6$ the principle of the discontinuous evolvement of learning level.

• Journal of Information Technology Services
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• v.20 no.2
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• pp.127-146
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• 2021

Donation-based crowdfunding(DBC) is conducted from voluntary participation by project operators. It requires a different operational strategy than general crowdfunding. However, there is a limited amount of research on the operational strategy of DBC. This study explores the value co-creation(VCC) strategy of DBC and analyzes the operation of DonorsChoose.org. The research questions encompass the following: First, we identify the VCC activities of DBC. Second, we uncover activities of the platform operators that facilitate the participation of project operators in VCC activities. Third, we explore how VCC activities affect project operational performance and platform performance in DBC. By adopting a single case study method on DonorsChoose.org, this study provides meaningful insight and detailed understanding into the VCC in DBC. First, VCC processes of DBC are identified(Co-ideation, Co-design, Co-funding, Co-operation, and Co-evaluation). Also, interactions between platform operators and project operators were defined at each stage. Second, this study confirmed that standardization and simplification of platform operators, support for pre- and post-activity, and high-quality information delivery activities were critical. Third, we confirm that these VCC activities improve VCC operational performance and platform performance. The theoretical significance of this study is that the concept of VCC, previously concentrated on participants with economic drivers(consumers and investors), has been applied to the context of DBC, a form of participation by participants with non-economic drivers(supporters and donors). In addition, this study practically contributes to the practice of VCC strategy among various platform operating strategies in DBC.

• Journal of Engineering Education Research
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• v.23 no.4
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• pp.76-83
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• 2020

The purpose of this study is to conduct Project Based Learning (PBL) in collaboration with industry experts to operate practical subjects in an industry-university-linked teaching method. PBL is a teaching method in which students can learn through actively engaging in real-world and personally meaningful projects. For a long period of time, PBL methodologies have been found to be especially effective in engineering education. This case study deals with the operational results of a practice subject which has been conducted over three years from 2017 to 2019 in Korea University of Technology and Education. The course is for the 4^th grade students in the school of mechatronics engineering. The results of the surveyed learning outcomes (for example, Program Outcomes and Course Learning Outcomes) have been analyzed and reflected in the next years for the Continuous Quality Improvement. By working on practical projects linked to industry, students have been able to develop so-called 4C's capabilities which are Critical Thinking, Creativity, Communication and Collaboration.

• Toxicological Research
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• v.25 no.1
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• pp.1-8
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• 2009

Validation specifies and coordinates all relevant activities to ensure compliance with good laboratory practices (GLP) according to suitable international standards. This includes validation activities of past, present and future for the best possible actions to ensure the integrity of non-clinical laboratory data. Recently, validation has become increasingly important, not only in good manufacturing practice (GMP) institutions but also in GLP facilities. In accordance with the guideline for GLP regulations, all equipments used to generate, measure, or assess data should undergo validation to ensure that this equipment is of appropriate design and capacity and that it will consistently function as intended. Therefore, the implantation of validation processes is considered to be an essential step in a global institution. This review describes the procedures and documentations required for validation of GLP. It introduces basic elements such as the validation master plan, risk assessment, gap analysis, design qualification, installation qualification, operational qualification, performance qualification, calibration, traceability, and revalidation.

• Coupled systems mechanics
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• v.11 no.1
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• pp.79-91
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• 2022

Models for water treatment processes include simulation, i.e., modelling of water quality, flow hydraulics, process controls and design. Water treatment processes are inherently dynamic because of the large variations in the influent water flow rate, concentration and composition. Moreover, these variations are to a large extent not possible to control. Mathematical models and computer simulations are essential to describe, predict and control the complicated interactions of the water treatment processes. An accurate description of such systems can therefore result in highly complex models, which may not be very useful from a practical, operational point of view. The main objective is to combine knowledge of the process dynamics with mathematical methods for processes estimation and identification. Good modelling practice is way to obtain this objective and to improve water treatment processes(its understanding, design, control and performance- efficiency). By synthesize of existing knowledge and experience on good modelling practices and principles the aim is to help address the critical strategic gaps and weaknessesin water treatment models application.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.19-27
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• 2016

Maritime transport is now regarded as one of the main contributors to global climate change by virtue of its $CO_2$ emissions. Meanwhile, slow steaming, i.e., slower ship speed, has become a common practice in the maritime industry so as to lower $CO_2$ emissions and reduce bunker fuel consumption. The practice raised various operational decision issues in terms of shipping companies: how much ship speed is, how much to bunker the fuel, and at which port to bunker. In this context, this study addresses an operation problem in a shipping companies, which is the problem of determining the ship speed, bunkering ports, and bunkering amount at the ports over a given ship route to minimize the bunker fuel and ship time costs as well as the carbon tax which is a regulatory measure aiming at reducing $CO_2$ emissions. The ship time cost is included in the problem because slow steaming increases transit times, which implies increased in-transit inventory costs in terms of shippers. We formulate the problem as a nonlinear lot-sizing model and suggest a Lagrangian heuristic to solve the problem. The performance of the heuristic algorithm is evaluated using the data obtained from reliable sources. Although the problem is an operational problem, the heuristic algorithm is used to address various strategic issues facing shipping companies, including the effects of bunker prices, carbon taxes, and ship time costs on the ship speed, bunkering amount and number of bunkering ports. For this, we conduct sensitivity analyses of these factors and finally discuss study findings.

• IE interfaces
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• v.16 no.2
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• pp.125-139
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• 2003

This paper reports an empirical study on assessment of R&D best practices. The principles of quality management and their tools such as best practices or benchmarking have been so prevailing in the operational process that the R&D management recently consider extensive use of them for their innovation process. However, characteristics of the two processes may be different each other. Are the principles or the tools that were effective in the operational field still going to be effective in the innovative field? In order to answer the question, we statistically examine how R&D best practices contribute to the innovative performance. Upon literature review on technological innovation, we present a R&D process model whereby we set forth research hypotheses. Using data from 66 successful R&D efforts carried out among Korean firms mostly between 1999-2001, regression analyses reveal that best practices used in most stages throughout the R&D process are found not to significantly contribute to the innovative performance. Only those in technology strategy and prototyping stages are proven effective for technical and commercial performance respectively. Interestingly, efforts in a problem solving and improvement stage are counterproductive in the case of the innovation process. Discussions on our empirical observations are presented followed by some managerial implications.