• IE interfaces
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• v.18 no.2
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• pp.148-157
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• 2005

The manufacturing industry with Make-to-Order production system is difficult to decide the standard information for the product and the demand is variable to estimate. In this paper, we concerned with the process planning method using data mining in the manufacturing industry with Make-to-Order environment. The subject of our study is the industry transformer plant which is received an diverse order of customer and then produced the product. Currently, process planning method is classified the standard information by hand based on the acquired knowledge through the experience. The standard information stored the various information, such as work sequence, time and so on. This process planning method needs an experts which possesses the field experience for several years. For the product specification which is varied in each order, current process planning method is not efficient due to need many times To solve this problem, we extract the information using data mining process for each processing time, and then construct the knowledge base. We propose a method which is the process planning of the industry transformer product in Make-to-Order environment using the knowledge base.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.239-245
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• 2008

In this study has investigated and considered product planning methods at the existing product design process and being used the safety evaluation methods at the product planning stage, and has deduced the 16 safety evaluation elements to have to be considered for executing the safety evaluation at the product planning stage. When the safety evaluation is executed from the product planning stage, more safe products will be designed.

• Journal of Fashion Business
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• v.24 no.3
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• pp.69-84
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• 2020

The purpose of this study is to analyze examples of online fashion product planning of domestic fashion brands, to grasp the characteristics and step-by-step problems in product planning, and to suggest product planning methods. This study consists of a literature study and a case study. The results of th study are as follows. First, in the information analysis and product planning, product planning according to analysis and targeting of online consumers should be conducted separately from offline, and the proportion of online-only products should be expanded. Second, in the design planning and product development stages, it should be possible to secure the quantity through the pre-planning of fabrics, a to acquire the novelty of the material through the preemption of good fabrics and the pre-planning of colors to secure competitive design. Third, in the convention, a systematic review process involving company members and customer review teams should be conducted to ensure product quality and sales-ability Fourth, in the production stage, the production period must be to reduce cost. Fifth, differentiated services according to the characteristics of their products for each brand in the promotion and sales stages. Based on this analysis, a desirable approach online product planning should first run promotion phase, increasing pre-planning for the product, and organizing specialize work and manpower issues.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2440-2450
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• 2009

The aim of the study is to look at the impact of 'NPD process planning proficiency' on NPD performance. In particular, the current study examines this effect at firm's level (NPD program), rather than at the level of individual project. This study investigate the impact of process planning proficiency considering other NPD proficiencies (i.e. marketing and technical proficiency). In addition to the main effect of process planning proficiency, the current study investigates the interaction effect between process planning proficiency and marketing proficiency (or technical proficiency). Based on a cross-industry sample of 103 Korean manufacturers, this study examines the impact of NPD process planning proficiency on product family performance. The current study focuses on platform projects which play a critical role on product family's successes. NPD process planning proficiency has significant impact on both NPD technical and commercial performance. Technical proficiency is not directly associated with NPD performance. However, this study finds the interaction effects of technical proficiency with process planning proficiency on NPD performance.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.2
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• pp.98-106
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• 2012

The current market preassure of least environmental effects of products needs companies to consider whole life cycle of their products during their design phase. To support the integrated and collaborative development of the products, this paper proposed product data model for extended Product Data Managemen (PDM) that can support integrated design of product, manufacturing process, and customer services, based on the consistent and comprehensive PDM databases. The product data model enables design, manufacturing, and service engineers to express their products and services efficiently, with sharing consistent product data, engineering changes, and both economical and environmental evaluations on their design alternatives. The product data model was implemented with a prototype PDM system, and validated through an example product. The result shows that the PDM based on the proposed product data model can support the integrated design for products, manufacturing process, and customer services, and provide an environment of collaborative product development for design, manufacturing and service engineers.

• Journal of the Ergonomics Society of Korea
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• v.27 no.2
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• pp.15-24
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• 2008

As users increasingly recognize the importance of safety and the Product Liability comes into effect, a company should take responsibility of protecting the users who use its product. In order to produce a safe product and satisfy the needs of users, it is critical for develope opriately and understand the characteristics of the product accurately. Furthermore, a safe product can be realized by considering a safety level of the product in a whole product development process. However, in general, product development projects hardly evaluate the safety of a product in the product planning step. In addition, most of safety evaluation methods which are applied in the product planning step have a tendency to be qualitative because a detailed product design step. Therefore, this research aims at enhancing the performance of the safety evaluation process by applying quantitative methods such as 'AHP' and 'Fuzzy'. AHP can help analysts derive the weight of safety factors. Fuzzy is applied to evaluate the degree of safety of product elements in this paper. The proposed method will be able to improve the safety level of a product by using the quantitative methods in the product planning step.

• International Journal of Quality Innovation
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• v.8 no.3
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• pp.173-187
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• 2007

Many 6-sigma innovation companies are obtaining ISO9000 series or ISO/TS16949 certifications. However, not many of them have considered the integrated management of ISO/TS16949 at the time of 6-sigma introduction. ISO/TS16949 focuses on the process of an overall company. In particular, APQP (Advanced Product Quality Planning) requires that from the beginning all the planning should have a clear quality planning business process. Each company can decide the best course of action to suit its individual needs. Lean DFSS in 6-sigma offers the concrete development steps of the product development process. And if analyses of Input, Output, Target, Process, KSF, KPI, and FMEA is done in each process and clearly defined in APQP, mutual organic and effective systems can be initially achieved.

• Korean Management Science Review
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• v.13 no.3
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• pp.91-104
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• 1996

The basic idea of Quality Function Deployment(QFD) is to deploy the voice of customers into the final product through product planning, part planning, process planning, and manufacturing. In the product planning stage, which is the first stage of product development, customer attributes(CAs) are translated into engineering characteristics(ECs). Then, based on the relationship between CAs and ECs, the target values of ECs are determined. In the previous research, the process of analyzing these relationships is mostly subjective in nature. In this article, we formulate the process of determining the target values of ECs as an optimization model. That is, we first determine the relationship between CAs and ECs as cumulative logit models and construct constraints into which the company strategy as well as the needs of customers can be incorprated. Next, cost functions of ECs are developed, which are summed into an objective function. An algorithm to solve the formulated optimization problem is developed and illustrated with an example.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.540-545
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• 2002

The tight integration of the part design and process planning is very effective to high quality product development and cost effective manufacturing. Moreover, the integration in the early design stage, that is, the integration of the conceptual design and the conceptual process planning may take a big impact with the forecasting the alternative of the design and manufacturing. In this paper, the real field parts are studied about the relations among the Feature, Function, and Manufacturing Process taking the style of reverse engineering method, to found the base of the systematic computer system for the integrated product design and manufacturing process planning.

• Korean Journal of Computational Design and Engineering
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• v.9 no.2
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• pp.175-182
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• 2004

As a bridge between design and manufacturing, process planning is to generate a sequenced set of instructions to manufacture the specified part. Automatic interpretation of manufacturing information incorporated in the design documentation such as CAD file has been a knotty subject for manufacturing engineers since no current data exchange format for product data provides a perfect interface between heterogeneous systems. The recent neutral data exchange format STEp, standard for the exchange of product model data, includes not only geometry but also technical and managerial information. STEP AP(Application Protocol) 224 is specifically dedicated to the mechanical product definition for process planning using machining features. Given a design information in STEP AP 224 format, process planning can be made without human intervention. This paper describes a method to determine the sequence of machining features by using the machining features and the manufacturing information expressed in STEP AP224.