• Journal of the Korea Institute of Building Construction
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• v.9 no.6
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• pp.105-111
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• 2009

Construction equipment is a very important factor for successful construction. Also, the cost for construction equipment is a major part of the cost of construction. Therefore, the estimation of the equipment cost is a critical task in construction planning. A formula for production rates shown in 'Standard Unit Labor' has been used to estimate construction equipment capability and cost. Although the performance of the equipment has improved over time, the variables in the formula have not been updated in a timely manner. Therefore, this paper has analyzed the preceding research, and performed several site visits to measure the cycle time of a backhoe and a loader. Construction equipment production rates were calculated with collected cycle times and variables given in 'Standard Unit Labor'. In addition,production rates were estimated considering the circumstances of various sites with the simulation program 'crystal ball.'

• Journal of the Semiconductor & Display Technology
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• v.16 no.3
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• pp.121-126
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• 2017

EES System support to maximize equipment efficiency by providing real-time information of main equipment which has a significant effect on product quality and productivity, and to prevent equipment failure by detecting equipment abnormality in advance. Smart Equipment Engineering System(S-EES) integrates the activities performed at equipment that are the core of production activities and manages them by system so as to maximize the efficiency of equipment and raise the quality level of products to one level. In other words, when the product is put into the equipment, the recipe is downloaded through the RMS, the recipe is set to the optimal condition through R2R(process control), and the system detects and controls the abnormality of the equipment during operation through the FDC function in real time it means. In this way, we are working with the suitable recipe that matches the lot of product, detecting the abnormality of the equipment during operation, preventing the product from being defective, and establishing a system to maximize the efficiency through real-time equipment management. In this study, we review the present status and problems of equipment management in actual production lines, collect the requirements of the manufacturing line for the PCB line, design and develop the system, The measurement model was studied.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.10a
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• pp.157-158
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• 2006

• Journal of the Korean Society of Food Culture
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• v.19 no.6
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• pp.652-666
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• 2004

School contraced foodservice was introduced to school lunch program In 1999. The satisfaction with school contracted foodservice quality was low because of the restriction on equiping school foodservice facilities, facilities education by recipe related to the quantity food production and preliminary education of menu recipe of large quantity production. This study was designed to evaluate condition of existing major equipment on school contracted foodservice. A questionnaire was developed and malled to 150 dietitians in seoul. Response rates were 70%. The analysis on buying equipment were analyzed according to length of dietitian. Preliminary education of menu recipe and facilities education by recipe related to the quantity food production were analyzed acceding to length of dietitian. content analysis was conducted regarding to dietitians' ideas on school contracted foodservice.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.3
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• pp.16-23
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• 2014

Most of metal cutting and processing companies are going through the difficulties such as frequent downtime and high failure rates by missing times to replace parts of CNC equipment. The reason is that the correct operation times of expensive CNC equipment can't be calculated. In this paper, to solve this problem, we try to construct the intelligent production information system for a case company and analyze its expected effects. The effects are as follows. First, it saves money about 3 million won each year during the useful life of three years by reducing downtime and failure rates, and increasing production rates etc. Second, it makes easily find and fix the cause of faulty through traceability of the production process, and enables to perform a systematic facility management through the calculation of reliable equipment's overall efficiency. This case can be easily applied in similar industries, and will contribute greatly to enhancing the competitiveness of related industries.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.69-70
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• 2022

The domestic process planning generally relies on calculations based on the construction-standard-production-rate. This method requires trial and error practice during the construction phase to deduce the optimized equipment combination for time and cost. Trial and error during construction can lead to cost overruns and schedule delays. Accordingly, this paper suggests an advanced method for establishing a productivity database based on combinations of equipment and also considering site conditions in order to reduce the timely effort for deducing the optimized equipment combination. For this purpose DES (Discrete Event Simulation) model was developed based on the information provided in the construction-standard-production-rate.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.1
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• pp.25-33
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• 2019

In the plant industry, the share of equipment accounts for 45 ~ 75%, which is very high. It is a traditional plant centered on processes and reactions like petroleum and chemical plants. Renewable energy generation plants such as wind power generation and solar power generation are equipment-centric plants. Equipment-centric plants are very important not only in the EPC phase but also in the operation and management phase. The procurement of equipment for plant operation and management can be divided into make and buy. Make is a method of producing equipment itself, and buy is a method of procuring equipment from the outside. The procurement method of the equipment directly affects the plant operation and management cost. In this study, the decision making of equipment procurement method for plant operation and management is defined as 4 phase. Each phase is selection of procurement decision-making objects, technology strategy perspective, finance perspective, and production perspective. In detail, we defined selection process of procurement decision-making objects and technology strategy perspective process. We will contribute to the enhancement of the competitiveness of the plant operation and management area by carrying out researches on the process and application examples of financial and production perspectives in the future.

• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.2
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• pp.77-90
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• 2009

Total profit level Increases if a company increase the cost for achieving R&D related goals of equipment productivity enhancement, production cost saving, or for achieving equipment scale target, sales volume goal. But how much money should be invested to achieve a certain level of profit? We formulated the model to set the optimal goal levels to minimize the investment cost under the constraint that certain level of total profit should be guaranteed. This model derived from a case of P steel company. We found that this should be considered in relation with the production sales planning (known as optimal product mix problem) to guarantee the profit. We suggested a nonlinear programming model, 3 valiant form of the p+roduct mix problem. We can find the optimal Investment level for the R&D related goals or sales volume goal, equipment scale target for the P steel company using the model.

• Culinary science and hospitality research
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• v.13 no.1 s.32
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• pp.235-243
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• 2007

The results of hotel management have revealed a lot of problems in regard to the suitable placement of kitchen facilities, equipment and utensils, appropriate positioning of kitchen workers, and management of kitchen supplies. To solve these problems, this study examined the relationships among kitchen equipment, layouts, job satisfaction, a sense of self-competence, and production efficiency, proposing the efficient management measures of a reasonable kitchen system. The following are the results. Kitchen facilities had a significant effect on job satisfaction, not on a sense of self-competence. Hotel cooks' awareness of kitchen utensils as well as kitchen layouts had significant influence on both job satisfaction and a sense of self-competence whereas hotel cooks' job satisfaction and their sense of self-competence had great influence on production efficiency.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.23 no.1
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• pp.15-20
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• 2014

The manufacturing equipment on most shop floors consists of numerical control machines, and the condition of each piece of equipment is monitored and controlled by an internal sensor or programmable logic controller (PLC). To control and monitor production lines that consist of an equipment or production module, a separate control and monitoring system such as a manufacturing execution system should be introduced. However, there is no standardized system, and it is costly and difficult to build a system for small or medium-sized plants. In this paper, a PLC-based supervisory system for operation control of a group of production machines is proposed, and the developed PLC-based system is evaluated by applying it to a computer numerical control machine.