• Asia-Pacific Journal of Business
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• v.9 no.4
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• pp.99-117
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• 2018

This study has investigated Linear Programming (LP) applications to special decision making problems in managerial accounting with the help of spreadsheet Solver tools. It uses scenario approaches to case examples having three products and three resources in make-and-supply business operations, which is applicable to cases having more variables and constraints. Integer Programmings (IP) are applied in order to model situations when products are better valued in integer values or logical constraints are required. Three cases in one-time-only special order decisions include Goal Programming approach, Knapsack problems with 0/1 selections, and fixed-charge 0/1 integer modelling techniques for set-up operation costs. For the decisions in outsourcing problems, opportunity-costs of resources expressed by shadow-prices are considered to determine their precise contributions. It has also shown that the improvement in work-shop operation for an unprofitable product must overcome its 'reduced cost' by the sum of direct manufacturing cost savings and its shadow-price contributions. This paper has demonstrated how various real situations of special decision problem in managerial accounting can be approached without mistakes by using LP's and IP's, and how students both in accounting and management science can acquire LP skills in their education.

• International Journal of Advanced Culture Technology
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• v.5 no.3
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• pp.24-34
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• 2017

Nail art is a kind of nail painting or decoration that adds to the beauty. Throughout making nail art, the worker was on a dusty operation with the smoothing of chemicals and nails. People working at nail shops not only use a variety of chemicals, but also experience a lot of fine powder during the process of nail trimmings. While drying the chemical adhesive, the workers often complain of eye, nose and throat discomfort. In addition, the acrylic brush is characterized by a lot of smell when washed with washing solution. Also nail art workers directly influence the worker's breathing through the work done by placing the guest's hands in a work space called a nail table. Chemical ingredients used in nail art procedures include acetone, ethyl acetic acid, toluene, butyl acetic acid, glue, and top coating of nail varnishes. Prolonged inhalation of these substances may cause dizziness, vomiting, as well as impaired respiratory system. The purpose of this study is to investigate the respiratory symptoms of nail shop workers who are likely to be affected by work in nail shop and to find out which factors have the greatest influence if they have respiratory symptoms. Therefore this study is to provide basic data on the health management system of people engaged in nail shop and to develop health education program. For this study, the data collection was collected on July 7, 2017 for the nail shop workers attending the nail art trend seminar held in Gwangju, in Korea. The data were all 236. However, except for the poor data, 208 data were used for the final analysis. The questionnaire consisted of 30 in general questions, questions about self-efficacy in 24 questions. elf-efficacy measuring tool developed by A.Y, Kim, I. Y, Park(2001). The self-efficacy questionnaire consists of 24 items and is self-reported 7-point Likert scale. The reliability of this tool was cronbach alpha = .934.The collected data were analyzed using spss 18.0. Information of Research participant performed frequency analysis. To examine the effects of personal characteristics on self-efficacy, $X^2$ analysis was conducted. And also $X^2$ analysis was conducted to analyze the coughing symptom appearance according to individual and environmental factors. A hierarchical regression analysis was used to determine which of the personal and environmental factors influenced cough symptoms.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.4
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• pp.58-68
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• 2010

Particle Swarm Optimization (PSO) which has been well known to solve continuous problems can be applied to discrete combinatorial problems. Several DPSO (Discrete Particle Swarm Optimization) algorithms have been proposed to solve discrete problems such as traveling salesman, vehicle routing, and flow shop scheduling problems. They are different in representation of position and velocity vectors, operation mechanisms for updating vectors. In this paper, the performance of 5 DPSOs is analyzed by applying to traditional Traveling Salesman Problems. The experiment shows that DPSOs are comparable or superior to a genetic algorithm (GA). Also, hybrid PSO combined with local optimization (i.e., 2-OPT) provides much improved solutions. Since DPSO requires more computation time compared with GA, however, the performance of hybrid DPSO is not better than hybrid GA.

• IE interfaces
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• v.12 no.3
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• pp.374-381
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• 1999

In this paper, we propose an architecture of the DNC system for Shop Floor Control/Point of Production(SFC/POP). The DNC system to be presented this paper retrieves line-up sheets which include the drawing information, making a index database for line-up sheets, NC programs and tool adjustment data. And it is interface with a raw material, jig and tool information. Also, the DNC system transmits operation information to real workers rapidly, and supports realtime monitoring by collecting the state information of machines directly. In the analysis and design phases, this paper models realtime events using the state transition diagrams. In the implementation phase, we use the ORACLE DBMS(Database Management System) as the DBMS and Developer 2000 and Microsoft Visual C++ 5.0 as the programming tools.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.147-158
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• 2017

Internet is changing the way consumers shop and buy goods and services, and has rapidly evolved into a global phenomenon. The primary purpose of this study is to investigate the influence of consumer's on-line shopping values on satisfaction and intention to re-use. Economic value, emotional value, convenience value, social value, product variety were identified as affecting factors of satisfaction and intention to re-use of on-line shopping purchasing based on prior studies of on-line shopping behavior. This study tested the hypothesized model using the data from 132 consumers who have purchased products in on-line shopping mall. According to the result, economic value, emotional value, product variety are significantly related to the consumer satisfaction but convenience value, social value are not. Consumer satisfaction of online purchasing was also shown to be related to the intention to re-use. It can provide practical guidelines on effective operation strategies for consumer loyalty.

• Korean Institute of Interior Design Journal
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• v.18 no.2
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• pp.93-101
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• 2009

This study is including the independent project, "building children's library of the town" that is conducted by a local resident. The study object is the contents of the "design workshop for library planning" and the general process during one year since the opening. This study is delivering "information of children's library" through the work-shop and is conducting the role of a professional space planner by measuring the blueprint. Thus, the study could be conducted with synthetic viewpoint on each library. The followings are the results from the study. First, there were various space operations and a variety of programs in the case library that is independently managed. This is directing to "the constructive and active space usage" by the users and finally results in positive circulation. Secondly, there is a change through the process of execution and operation in the library construction plan. There are needs for the flexible space expansion and adjustment, modifiable furniture layout and design and various keeping areas because there is on-going tendency of corresponding space change. The third, the author could draw more practicable consideration points for space planning by looking at the trend of space change in Transactionist viewpoint. Thus, this study is very meaningful in terms of planning of sustainable public areas.

• Journal of Information Technology Applications and Management
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• v.18 no.1
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• pp.125-141
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• 2011

As the sales volume of online shops increases, the job burden in the back-offices of the online shops also increases. Order picking is the most labor-intensive operation among the jobs in a back-office and mid-size pure click online shops are experiencing the time delay and complexity in order picking nowadays while fulfilling their customers' orders. Those warehouses of the mid-size shops are based on manual systems, and as order pickings are repeated, the warehouses get a mess and lots of products in those warehouses are getting missing, which results in severe delay in order picking. To overcome this kind of problem in online clothing shops, we research a methodology to locate warehousing products. When products arrive at a warehouse, they are packed into a box and located on a rack in the warehouse. At this point, the operator should determine the box to be put in and the location on the rack for the box to be put on. This problem could be formulated as an Integer Programming model, but the branch-and bound algorithm to solve the IP model requires enormous computation, and sometimes it is even impossible to get a solution in a proper time. So, we relaxed the problem, developed a set of heuristics as a methodology to get a semi-optimum in an acceptable time, and proved by an experiment that the solutions by our methodology are satisfactory and acceptable by field managers.

• Journal of Korean Society for Quality Management
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• v.50 no.1
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• pp.153-167
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• 2022

Purpose: The purpose of this study is to guide the operation managers who plan daily production of large mass-processing facility that services multi-customers with multi-product, small-batch item characteristics by providing the practical best production quantity and the inventory allowed to build. Methods: Close observation of a subcontract paint-shop operator captured the daily decision process which was reflected in the subcontractor-unique mathematical model and the system dynamics simulation model. Multiple simulations were run to find the practical best production quantity and the maximum allowable stock level of inventory that did not undermine the profit from practical best daily production. Actual data and a few constant values were obtained from the firm under study. Results: While the inventory holding cost for the customer-owned material harms the total profit of the subcontractor, the running cost of the processing facility hinders production in small batches. This balances the maximum possible productions and results in practical best daily production which can be found through simulation runs with actual data. The maximum level of stocked inventory is deduced from the practical best daily production. Conclusion: To build a large volume that enables economy-of-scale production, operators should deal with multi-product small-batch items from multiple customers. When the planned schedule of the time and amount of material in-flow tend not to be reliable, operators can find it practical to execute level production across the planning horizon instead of adjusting to day-to-day in-flow fluctuations.

• Korean Journal of Community Nutrition
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• v.23 no.3
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• pp.226-233
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• 2018

Objectives: This study was conducted to investigate the current status and to suggest future directions for health management of teenagers who use healthy school tuck shops to improve teenagers' eating habits while reducing and preventing obesity. Methods: A total of 29 students (16 middle school students and 13 high school students) took part in the interview for this study, and the interview was conducted for each school's focus group by using qualitative research methodology. Results: The current status of using healthy school tuck shops and suggested future directions were divided into two categories. Personal barriers such as discrepancies between personal perceptions and behaviors and lack of food choice suitable to individual tastes can be solved by rebuilding the operating system to provide intuitive promotion of behavior and customized products through improvements in existing products and new product development. A lack of consistent management from low utilization convenience and difficulty in maintaining a constant purchase price can be handled by establishing a solution to restricted physical access for products, as well as seeking profit by improving distribution costs via continuous cooperation between the school and community. Conclusions: Continuous funding and a system that reflects the needs and preferences of healthy school tuck shop users should be applied for sustainable operation of healthy school tuck shops to improve teenagers' eating habits.

• Industrial Engineering and Management Systems
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• v.11 no.4
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• pp.310-330
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• 2012

Scheduling is an important tool for a manufacturing system, where it can have a major impact on the productivity of a production process. In manufacturing systems, the purpose of scheduling is to minimize the production time and costs, by assigning a production facility when to make, with which staff, and on which equipment. Production scheduling aims to maximize the efficiency of the operation and reduce the costs. In order to find an optimal solution to manufacturing scheduling problems, it attempts to solve complex combinatorial optimization problems. Unfortunately, most of them fall into the class of NP-hard combinatorial problems. Genetic algorithm (GA) is one of the generic population-based metaheuristic optimization algorithms and the best one for finding a satisfactory solution in an acceptable time for the NP-hard scheduling problems. GA is the most popular type of evolutionary algorithm. In this survey paper, we address firstly multiobjective hybrid GA combined with adaptive fuzzy logic controller which gives fitness assignment mechanism and performance measures for solving multiple objective optimization problems, and four crucial issues in the manufacturing scheduling including a mathematical model, GA-based solution method and case study in flexible job-shop scheduling problem (fJSP), automatic guided vehicle (AGV) dispatching models in flexible manufacturing system (FMS) combined with priority-based GA, recent advanced planning and scheduling (APS) models and integrated systems for manufacturing.