• 제목/요약/키워드: Multi-product

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네오 싱글(NEO SINGLE) 여성을 위한 브랜드 기획 및 상품 개발 (Brand Planning and Product Development for NEO-SINGLE Women)

  • 이연희;이지현;김영인
    • 복식문화연구
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    • 제15권3호
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    • pp.420-430
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    • 2007
  • Noting that there is an increasing trend of the so-called 'neo-single life style' among women these days, this research aims to make a product development for these neo-single women in this era of families of a single member by analyzing their concepts and characteristics. We payed a particular attention to the data from such sources as newspapers, magazines or the articles in the Internet. The essence of our research lies in the analysis of target market, in the suggestions in the brand planning and product development and in the designs of fashion and interior products for them. The result of this research is as follows. First, it turns out that these neo-single women enjoy a kind of multi-mixing code lifestyle rather than showing a preference for a particular brand. For this reason, we have decided to pursue a multi-concept brand fonn as a right direction for brand planning for them. Second, as for a philosophy behind the brands, we suggest a concept of 'small utopia' for neo-single women and express such as new aristocracy, happiness and pleasure. Third, we adopt 'YOU' as the name of the brand as it reflects their various life styles and characteristics. Fourth, as for the product development of F/W in 2007, we have decided on 'Minimal Natural' as it mixes up the concepts of the controlled beauty of sophistication and multi-functional elements and 'Modern Primitive' as it expresses the ethnic elements on modern images having craft factors and modern images. We have performed concrete tasks in creating images, coloring, making fabrics for each theme. Fifth, we have chosen and suggested other products that are suitable for these neo-single women who seek for multi-functional but simple kinds after surveying a wide range of products in magazines or in the Internet.

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A Multi-step Time Series Forecasting Model for Mid-to-Long Term Agricultural Price Prediction

  • Jonghyun, Park;Yeong-Woo, Lim;Do Hyun, Lim;Yunsung, Choi;Hyunchul, Ahn
    • 한국컴퓨터정보학회논문지
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    • 제28권2호
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    • pp.201-207
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    • 2023
  • 본 논문에서는 Multi-Step Time Series의 세 가지 전략을 비교 분석하기 위해 LGBM, MLP, LSTM, GRU를 사용하여 농산물 중장기 가격 예측에 대한 최적의 모형을 제안한다. 제안 모형은 다각도로 전략을 선택하여 모델과 전략간 최적의 조합을 찾도록 설계되었다. 기존 농산물 가격 예측 연구에서는 전통 계량경제 모델인 ARIMA를 비롯하여 LSTM 계열 모델이 주로 사용된 반면 Multi-Step Time Series 관련 농산물 가격 예측 연구는 매우 제한적이다. 본 연구에서는 농산물 가격의 변동성 정도에 따라 두 개의 기간으로 나누어 실험을 진행하였으며, Direct, Hybrid, Multiple Outputs 등 세 전략의 중장기 가격 예측 결과 Hybrid 접근법이 상대적으로 우수한 성능을 보였다.본 연구 결과는 중장기 일별 가격 예측을 고도화할 수 있는 효과적인 대안을 제시한다는 측면에서 학술적, 실무적 의의를 갖는다.

중간저장조의 저장시간과 저장제품의 제약을 고려한 다품종 회분공정의 조업완료시간 알고리듬 (Completion Time Algorithm in Multiproduct Batch Processes with Storage Time and Product Allocation Restriction in Intermediate Storage Tank)

  • 하진국;이경법;이인범;이의수
    • 제어로봇시스템학회논문지
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    • 제9권9호
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    • pp.727-735
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    • 2003
  • The determination of completion time constitutes an important step in developing algorithms for short-term production scheduling. Existing completion time algorithms of multi-product batch processes often assume that intermediate storage tanks are always available when it is needed. In this paper, we consider a serial multi-product batch plants with ZW and NIS policy intermediate storge tank. We limit storage residence time and allocated products in the intermediate storage tank to minimize the quality change of the stored material as well as to reduce the clearing time during product change. A set of recurrence relations is suggested to calculate the completion times for the given batch sequence of products on all processing units. Also analytic solution for the suggested model is solved by a graphical method. The effectiveness of these results is proved by a few illustrative examples.

Competitive Analysis among Multi-product Firms

  • Kim, Jun B.
    • Asia Marketing Journal
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    • 제21권3호
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    • pp.47-64
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    • 2019
  • We analyze and study competition in differentiated product market using public data source. Understanding competitive market structure is critical for firms to assess how their products compete against other firms in a given market. In this paper, we estimate consumer demand, extend clout and vulnerability framework, and study competition among multi-product manufacturers in differentiated product market. For our empirical analysis, we adopt choice-based aggregate demand model and estimate consumer demand while accounting for unobserved product characteristics. Once we estimate consumer demand, we compute full price elasticity matrix and investigate intra- and inter- manufacturer substitutions among consumers. This research offers a framework for marketers to analyze and understand market structures, leading them to informed decisions.

BOUNDEDNESS OF CALDERÓN-ZYGMUND OPERATORS ON INHOMOGENEOUS PRODUCT LIPSCHITZ SPACES

  • He, Shaoyong;Zheng, Taotao
    • 대한수학회지
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    • 제59권3호
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    • pp.469-494
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    • 2022
  • In this paper, we study the boundedness of a class of inhomogeneous Journé's product singular integral operators on the inhomogeneous product Lipschitz spaces. The consideration of such inhomogeneous Journé's product singular integral operators is motivated by the study of the multi-parameter pseudo-differential operators. The key idea used here is to develop the Littlewood-Paley theory for the inhomogeneous product spaces which includes the characterization of a special inhomogeneous product Besov space and a density argument for the inhomogeneous product Lipschitz spaces in the weak sense.

Data Segmentation for a Better Prediction of Quality in a Multi-stage Process

  • Kim, Eung-Gu;Lee, Hye-Seon;Jun, Chi-Hyuek
    • Journal of the Korean Data and Information Science Society
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    • 제19권2호
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    • pp.609-620
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    • 2008
  • There may be several parallel equipments having the same function in a multi-stage manufacturing process, which affect the product quality differently and have significant differences in defect rate. The product quality may depend on what equipments it has been processed as well as what process variable values it has. Applying one model ignoring the presence of different equipments may distort the prediction of defect rate and the identification of important quality variables affecting the defect rate. We propose a procedure for data segmentation when constructing models for predicting the defect rate or for identifying major process variables influencing product quality. The proposed procedure is based on the principal component analysis and the analysis of variance, which demonstrates a better performance in predicting defect rate through a case study with a PDP manufacturing process.

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A Genetic Algorithm with a New Repair Process for Solving Multi-stage, Multi-machine, Multi-product Scheduling Problems

  • Pongcharoen, Pupong;Khadwilard, Aphirak;Hicks, Christian
    • Industrial Engineering and Management Systems
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    • 제7권3호
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    • pp.204-213
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    • 2008
  • Companies that produce capital goods need to schedule the production of products that have complex product structures with components that require many operations on different machines. A feasible schedule must satisfy operation and assembly precedence constraints. It is also important to avoid deadlock situations. In this paper a Genetic Algorithm (GA) has been developed that includes a new repair process that rectifies infeasible schedules that are produced during the evolution process. The algorithm was designed to minimise the combination of earliness and tardiness penalties and took into account finite capacity constraints. Three different sized problems were obtained from a collaborating capital goods company. A design of experimental approach was used to systematically identify that the best genetic operators and GA parameters for each size of problem.

A Strategic Effect of Bundling on Product Distribution

  • Gwon, Jae-Hyun
    • 유통과학연구
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    • 제13권10호
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    • pp.15-21
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    • 2015
  • Purpose - This study examines a bundling effect on production and distribution in a patent-protected industry. Despite the heavy use of bundling strategies in the information and technology industry, literature has paid scant attention to bundling of intellectual property rights. This study examines a theoretical exploration of the bundling effect on licensing behavior. Research design, data, and methodology - To address this behavior, we build a simplified model consisting of three stages: 1) bundling decision, 2) licensing agreement, and 3) competition. The subgame perfect Nash equilibrium is applied to the model. Results - A single-patent holder with superior technology grants its own license to the multiple-patent firm, thereby leaving the market. Anticipating the single right holder's licensing strategy, the multiple-patent firm offers a bundle, making the single-right holder's bargaining position weaker. Conclusions - Bundling is an effective business strategy, resulting in multiple products for a firm as it faces other firms with single-product lines in each market. Taking advantage of the multi-patent or multi-product lines, the firm utilizes the bundling strategy obtaining better technology from the standalone single-patent firms.

세분화 시장에서의 제품 및 가격경쟁에 대한 모형 (A Two Stage Model for Product and Price Competition in a Multi-Segmented Market)

  • 임호순;김성호
    • 한국경영과학회지
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    • 제24권1호
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    • pp.13-25
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    • 1999
  • This paper presents a model of competitive positioning and pricing of new products in a multi-segmented market. The segments in the market are located on a multi-dimensional discrete attribute space with fixed demands. Firms launch products sequentially on the attribute space, incurring fixed and variable costs, and then decide on their product prices. Each firm acts to maximize its profit. Market share of a firm is determined by the position and price of Its product. We provide sufficient conditions for the existence and uniqueness of Nash equilibrium Another equilibrium concept is Introduced and related to the Nash equilibrium. A heuristic algorithm based on genetic algorithms is designed to obtain the Nash equilibrium.

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퍼지-다속성 모델을 이용한 의류품질의 감성공학적 평가 (Quality Assessment of Clothing Products Using a Fuzzy/Multi-Attribute Model)

  • 김주용;이지현
    • 감성과학
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    • 제7권2호
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    • pp.149-155
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    • 2004
  • 패션소재로서의 유용성을 결정하는 속성을 두께, 무게, 밀도, 광택, 색상 등으로 한정한 후 다속성 모델을 구축하였다. 각 속성들의 가중치는 의류 매장의 방문객 대상의 설문 조사에 의해 결정되었으며, 한 소재의 최종가치는 퍼지 추론 시스템에 의해 계산되었다. 구축된 "퍼지-다속성" 모델을 이용하여 패션소재의 총 가치를 i) 품질로부터의 가치, ii) 품질을 기반으로 부가되는 가치, iii) 품질과는 무관하게 형성되는 브랜드 가치의 세 가지 요소를 분해하였다. 시중의 유명 스포츠 의류 브랜드 2종을 선정하여 위의 모델을 적용하였다.모델을 적용하였다.

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