• Korean Journal of Human Ecology
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• v.18 no.1
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• pp.247-257
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• 2009

The purpose of this study was to examine the effects of interior color and product volume of clothing shop on consumer's store image and preference for a clothing shop. The research methodology was a survey questionnaire and the subjects were 516 university students in Daejeon, Korea. The measuring instruments were stimuli and self-administrated questionnaire. The stimuli were 7 pictures of clothing shop including interior color and product volume variables, and the self-administrated questionnaire consisted of semantic differential scales for store image, store preference, and subject's demographic attribution. The data were analyzed by t-test, ANOVA, MANOVA, Duncan's multiple range test, based on SPSS program The results were as follows: first, in clothing shop's interior colors affecting store image and preference for clothing shop, white color gave a casual, sophisticated, characteristic, and attractive image to the shops, and brown color gave an elegant, sophisticated image, while black color gave a sophisticated, uncomfortable image, and gray color gave a less positive image to them than other colors. Subjects preferred white, brown, and black color in the order. Second, clothing shop's products volume also affected consumers' store image and preference. Its small volume gave a more sophisticated, elegant image than other volume levels, and subjects preferred small and medium volume of clothing products to their large volume. Third, the effects of shop's interior color and clothes' product volume on store image were different depending on subject's sex. The results revealed that clothing shop's interior color and product volume are important VMD components affecting consumer's store image and preference, and consumer's sex has to be considered to understand the effects of VMD components on clothing shop image.

• Korean Institute of Interior Design Journal
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• v.26 no.6
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• pp.202-209
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• 2017

In 21 Century, people's living standards and material requirements have been continuously improved with the development of society. The demand for commercial space is not merely content with purchases. What's more, the consumers want to experience some activities offered by the brand while shopping. In this paper, we mainly research the spatial structure and the spatial expressional characteristics of brand lifestyle shop of Korean brands built in Seoul area. First, through the documentary research, we get the four characteristics of interior space performance of brand lifestyle shop, which are, interaction, proximity, symbolism and compound. Secondly, we select 8 brand lifestyle shops in the Seoul area as the object of this study, and analyze the actual application of the four characteristics in these cases. Thirdly, through the analysis of case study, we make a concrete analysis of the expressional characteristics of Korea's brand lifestyle shop. Finally, we reach the conclusions: First, the brand lifestyle shop provides space for both brands and consumers to communicate with each other. Second, in brand lifestyle shop there is a special space which is different from the other commercial space. The existence of this special space makes brand lifestyle shop more personalized and more specialized, and makes the customers have more interesting when they are shopping. Third, compared with the sales space, the non-sales space accounts for a larger proportion. Fourth, in spatial representation, interaction plays a role in connecting brands with consumers. Fifth, brand lifestyle shop has the same spatial concept, but it has different application and embodiment in each case. Each brand lifestyle shop has its own unique features. This is the economic strategy used by brand sustainable development and expansion.

• Journal of KIBIM
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• v.10 no.4
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• pp.22-31
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• 2020

Shop drawing tasks conducted after finishing coordinated or engineering design have great influences on the quality and cost of a project. However, despite the development of commercial BIM applications, shop drawings have mainly produced manually in certain engineering fields. Incorrect shop drawings with human errors have occurred various problems such as cost overrun, time delay and reworks. An automated shop drawing publishing from BIM is expected to resolve these problems. Despite attempts for automate shop drawing production, the field of mechanical, electrical and plumbing (MEP) is yet regarded challenging due to complexity of components and connection. In this research, we develop a process for automated producing 3D MEP shop drawings in BIM environment as following steps: to analyze conventional MEP shop drawing process, to identify detailed process that can be automated, to classify existing MEP objects and assign codes usable in BIM, and to develop an application. The validation of automated process is conducted against 10 clean room projects in which MEP is more complex and its cost is higher than other projects in terms of productivity and workers' satisfaction. Results show that the number of manpower for shop drawing is reduced by 30%, and the working time is shortened by 31%. Personal opinions of involved practitioners is interpreted as positive as the average rate of agrement on practicability, easy-to-use and necessary retouch tasks is around 66%.

• Korean Journal of Computational Design and Engineering
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• v.10 no.4
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• pp.237-243
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• 2005

To increase the productivity and efficiency of an enterprise, all relevant product information should be provided to shop floor workers timely and in a unified form because shop floor workers are final consumers of most accumulated information generated from various departments of an enterprise. But, most existing enterprise information systems have an emphasis upon providing design/manufacturing information to office workers. Proposed in this study is the development of integrated design/manufacturing information system focused on providing cohesive information required to shop floor activities. For developing integrated information system, the functional requirements at the shop floor are identified and analyzed. Based on the extracted functional requirements, object-oriented system design and implementation is conducted. By using this system, shop floor workers can use all relevant information required to their daily operation in a integrated and unified form.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1007-1012
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• 2004

To increase the productivity and efficiency of an enterprise, all relevant product information should be provided to shop floor workers timely and in a unified form because shop floor workers are final consumers of most accumulated information generated from various departments of an enterprise. but, most existing enterprise information systems have an emphasis upon providing design/manufacturing information to office workers. Proposed in this study is a development of integrated design/manufacturing information system focused system, the function required for shop floor activities. For developing integrated information system, the functional required for shop floor are identified and analyzed. Based on the extracted functional requirements, object-oriented system design and implementation is conducted. By using this system, shop floor workers can refer to all relevant information necessary to their work easily and in a integrated form.

• Journal of the Korean Society for Precision Engineering
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• v.18 no.4
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• pp.176-181
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• 2001

Due to the increasing complexity to handle conflicts and interruptions caused by resource failures and rush orders, shop control is obliged to redesign its organization according to the changing demands of the manufacturing control. These demands are leading to the development of decentralization and gradually to their permanent optimization. As a result, a powerful modeling method which can be adapted efficiently is required. The use of agent theory enables specific modeling of the relevant shop planning activities. The planning activities are modeled in a so-called activity modeling through the definition of three classes of agents; Plan Agent, Manufacturing System Agent and Control Agent as well as the description of the cooperative relationship among these agents. On the basis of the activity model the agent-based shop control method is developed which emphasizes the distributed problem-solving and the cooperation with relevant agents.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.2
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• pp.59-68
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• 2001

The job shop scheduling problem is not only NP-hard, but is one of the well known hardest combinatorial optimization problems. The goal of this research is to develop an efficient scheduling method based on hybrid genetic algorithm to address job shop scheduling problem. In this scheduling method, generating method of initial population, new genetic operator, selection method are developed. The scheduling method based on genetic algorithm are tested on standard benchmark job shop scheduling problem. The results were compared with another genetic algorithm0-based scheduling method. Compared to traditional genetic, algorithm, the proposed approach yields significant improvement at a solution.

• International Journal of Precision Engineering and Manufacturing
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• v.1 no.2
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• pp.124-131
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• 2000

A shop floor can be considered as and importand level to develop a Computer Integrated Manufacturing system (CIMs). The shop foor is a dynamic environment where unexpected events contrinuously occur, and impose changes to planned activities. The shop floor should adopt an appropriate control system that is responsible for scheduling coordination and moving the manufacturing material and information flow. In this paper, the architecture of the hybrid control model identifies three levels; i.e., the shop floor controller (SFC), the cell controller(CC) and the equipment controller (EC). The methodology for developing these controller is employ an object-oriented approach for static models and IDEF0 for function models for dispatching a job. SFC and CC are coordinated by employing a multi-factors bidding and an adapted Analytic Hierarchy Process(AHP) prove applicability of the suggested method. Test experiment has been conducted by with the shopfloor, consisting of six manufacturing cells.

• Proceedings of the Korea Society for Simulation Conference
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• 1998.10a
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• pp.36-40
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• 1998

Tool shop of the‘D’Motor Co.(DMC) fabricates dies for producing automotive press panels. In order to increase the production capacity of the tool shop, DMC established an FMS that consists of high-speed machines and a CMM at the tool shop in 1997. Due to the difference in machine capability among the existing machines and the new FMS it is needed to find an optimal way of allocating workloads among machines to maximize the production. In a way to solve this, we model the die fabrication process of the tool shop and analyze its performance by computer simulation. In this study, we at first identify the bottleneck processes of the die fabrication process under the current operation policy. Then, we derive some alternative operating policies applicable to the tool shop, and analyze the optimal operation policy by comparing the performance of the tool shop following each alternative policy.

• Proceedings of the Korea Society for Simulation Conference
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• 1999.04a
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• pp.105-109
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• 1999

Tool shop of the D Heavy Industries Co.(DHI) fabricates engines for a bus, truck, small ship. In order to increase the production capacity of engines, DHI will be established the new tool shop that consists of a block line, head line, assembly line, test line and AS/RS in 1999. In order to assure the production capacity designed of the new tool shop for producing engines and improve the production process of it, it is needed to find a bottleneck process and an optimal way of allocating workloads among machines and workers to maximize the production. In a way to solve this, we model the engine fabrication process of the tool shop and analyze its performance by computer simulation. In this study, we at first identify the bottleneck processes of the engine fabrication process under the designed operation policy. Then, we derive some alternative operating policies applicable to the new tool shop of an engine, and analyze the optimal operation policy by comparing the performance of the tool shop following each alternative policy.