• 제목/요약/키워드: Sales Forecast

검색결과 78건 처리시간 0.021초

Intelligent System Predictor using Virtual Neural Predictive Model

  • 박상민
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 1998년도 The Korea Society for Simulation 98 춘계학술대회 논문집
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    • pp.101-105
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    • 1998
  • A large system predictor, which can perform prediction of sales trend in a huge number of distribution centers, is presented using neural predictive model. There are 20,000 number of distribution centers, and each distribution center need to forecast future demand in order to establish a reasonable inventory policy. Therefore, the number of forecasting models corresponds to the number of distribution centers, which is not possible to estimate that kind of huge number of accurate models in ERP (Enterprise Resource Planning)module. Multilayer neural net as universal approximation is employed for fitting the prediction model. In order to improve prediction accuracy, a sequential simulation procedure is performed to get appropriate network structure and also to improve forecasting accuracy. The proposed simulation procedure includes neural structure identification and virtual predictive model generation. The predictive model generation consists of generating virtual signals and estimating predictive model. The virtual predictive model plays a key role in tuning the real model by absorbing the real model errors. The complement approach, based on real and virtual model, could forecast the future demands of various distribution centers.

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The Impact of Coordination on Stocking and Promotional Markdown Policies for a Supply Chain

  • Lee, Changhwan
    • 한국유통학회:학술대회논문집
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    • 한국유통학회 2000년도 추계학술대회 발표논문집
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    • pp.91-105
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    • 2000
  • Results of a study of the coordination effect in stocking and promotional markdown policies for a supply chain consisting of a retailer and a discount outlet (DCO) are reported here. We assume that the products are sold in two consecutive periods: Normal Sales Period (NSP) and subsequent Promotional Sales Period (PSP). When managers in the two periods coordinate, they share information on the demand forecast and jointly decide the stocking quantity, markdown time schedule, and markdown price to maximize mutual profit. In the absence of coordination, decisions are decentralized to optimize the individual party's objective function. Optimal coordination policy for the retailer/DCO problem setting is analyzed, and the coordination policy is compared with the uncoordinated policy to explore factors that make coordination an effective approach.

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중소기업 기술.경영혁신과 경쟁력우위를 위한 전략경영 -원가절감과 매출액 증대를 중심으로- (The Strategic Management for Innovation and Competition of Small and Medium Firms)

  • 최승욱
    • 경영과정보연구
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    • 제7권
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    • pp.169-186
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    • 2001
  • The strategic management for Innovation and competetion of small and medium firms is practical innovation strategic of cost down and sales increace. Framework of the strategic management for thr forecast of changed industry and formal competetion. Practice and planning to the small and medium firms for innovation, cost down, sales increace, revolution management, etc. The results of study are as follows ; 1) study of pre-model for innovation and competetive advantage. 2) Draw of the creative factor for industrial structure analysis, cost advantage analysis and competetive advantage. 3) Exhibit of the practice model for strategic management approach. 4) Application and modification to the small and medium firms for results of study.

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멀티채널 유통브랜드의 샵마스터 역할에 대한 질적 연구 (A Qualitative Study on the Role of Shop Masters in Multi-channel Retail Context)

  • 이정진;황선진
    • 패션비즈니스
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    • 제22권5호
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    • pp.83-95
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    • 2018
  • As the paradigm of fashion retail industry moves rapidly to the multi-channel, the role of shop master has changed as well. Therefore, the purpose of this study is to examine in-depth the changing role of shop masters in multi-channel retail paradigms. In-depth interviews were conducted, and all interviews were recorded with permission. Seven shop masters participated in in-depth interviews. All of them were sales specialists, with more than 10 years working experience, at department stores. Results of this study are as follow: First, the roles of a multi-channel shop master include store management, management of sales associates, customer relationship management, and management in relation to the headquarters and suppliers. Second, the most important competencies of shop masters are to forecast future demand, establish information networks, communicate well with others, and create a work environment resulting in higher productivity.

A Study on Sales depending upon Meat Consumption Class: Focused on Hanwoo meat 1++A Class Consumption Class

  • Yun, Sun-Ja;Kim, Gi-Pyeong
    • 융합경영연구
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    • 제2권2호
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    • pp.10-14
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    • 2014
  • The study investigated consumption patterns and inclination of consumers of Hanwoo meat being more expensive than imported meat and/or beef cattle meat based on the author's business experience at the shop in Budang Seongnam. The author who has managed shop firstly investigated customers' inclination and/or propensity. The author heard specific customer's story at neighboring shopping center, and each customer's buying method, occupation, financial power and apartment size and others, and forecast visiting customer's buying and demand upon part of the beef that customer asks for. The aut hor who sold out limited scope of beef product at limited area thought that he did narrow scope of business. The author would make effort to sell product enough to meet customer's taste by better quality product from point of view of customers. The author would make effort to supply good quality beef products to the customers who relied upon the author's butcher's.

소비자물가와 금리, 매출실적이 종합주가지수에 미치는 영향 분석 (The effect of Consumer Price, Interest Rate and Sales Performance on the KOSPI)

  • 양승권;최정일
    • 디지털융복합연구
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    • 제17권10호
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    • pp.169-176
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    • 2019
  • 최근 한국경제는 일본의 경제보복조치와 미국과 중국 간 무역전쟁, 한국은행의 0.25% 기준금리 인하, 한국의 경제성장률 전망치 수정으로 혼잡한 상황이다. 본 연구의 목적은 한국종합주가지수와 소비자물가지수, 국고채(3년) 금리, 전산업의 매출실적을 분석하여 각 지수별로 종합주가지수에 미치는 영향을 살펴보는데 있다. 분석기간은 2003년 1월부터 2019년 6월까지이고, 각 지수별로 종합주가지수에 미치는 정도를 분석하였다. 본 연구는 수치분석에서 상관계수와 회귀분석을, 모형분석에서 분포도, 사분위도, Scatter, Box-Plot, Impulse Response를 살펴보았다. 이를 통해 각 지수별 변동성과 동행성을 찾아보았다. 분석결과 종합주가지수는 매출실적과 국고채금리 순으로 높은 동행성과 변동률을 보인 반면 소비자물가지수와는 매우 낮은 상관관계를 보여 주었다. 앞으로 종합주가지수는 매출실적과 금리의 영향을 받을 것으로 보여 꾸준한 관심이 필요해 보인다.

소비자 사이의 중고 태블릿PC 거래 가격의 통계적 예측 (Statistical Prediction of Used Tablet PC Transaction Price among Consumers)

  • 고영희;김소형;정유진
    • 산업융합연구
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    • 제20권12호
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    • pp.179-186
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    • 2022
  • 본 연구에서는 태블릿PC 중고제품의 거래 시, 판매자와 구매자 모두에게 판매가격을 제시할 수 있는 예측모형을 개발하는 것을 목표로 한다. 모형 개발을 위하여 실제 태블릿PC 중고거래 데이터와 제품에 대한 상세 정보를 추가 수집한 데이터를 사용하였다. 데이터 분석을 통하여 여러 가지 예측모형을 개발하였으며, 이 중 태블릿PC 중고가격 예측 성능이 가장 뛰어난 모형을 최종 예측모형으로 선택하였다. 구체적으로 중고 태블릿의 판매가격을 종속변수로 하고, 통합된 데이터에서 판매가격과 연관성이 있는 변수들을 독립변수로 한 다중선형회귀모형, 교호작용을 포함한 다중선형회귀모형, 그리고 각 모형에서 단계적 변수 선택법을 통해 얻은 모형들을 고려하였다. 이들 모형 중 교차타당성을 통해 최종적으로 예측 성능이 가장 뛰어난 모형을 태블릿PC 중고가격을 예측하는 모형으로 선택하였다. 본 연구를 통하여 중고제품 판매가격을 예측하고 판매자와 구매자에게 적절한 중고 거래 가격을 제시해 볼 수 있을 것이다.

ARIMA-Intervention 시계열 모형을 이용한 인천국제공항 식음료 매출 분석 및 추정 연구 (Analysis and Estimation of Food and Beverage Sales at Incheon Int'l Airport by ARIMA-Intervention Time Series Model)

  • 윤한영;박성식
    • 한국산학기술학회논문지
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    • 제20권2호
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    • pp.458-468
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    • 2019
  • 본 연구는 2015년 6월부터 2018년 8월까지 인천국제공항 여객터미널에서 발생한 품목별 식음료 매출액(POS) 데이터를 기반으로 2020년 12월까지 식음료 매출액을 추정하고자 하였다. 이를 위해 연구자는 시계열 분석기법들 중 하나인 ARIMA-Intervention(개입모형)을 이용하여 인천국제공항 식음료 매출액에 영향을 미칠 것으로 판단되는 주요 시계열 영향변수들을 구분하고 그에 따른 변화폭을 추정하였고 그 결과를 토대로 향후 발생가능할 것으로 예측되는 식음료 월별 매출액을 추정하는 것을 목적으로 한 것이다. 개입변수는 국내 THAAD 배치에 따른 중국 정부의 2016년 7월부터 2017년 12월까지 한국 방문을 자제를 권고한 한한령으로 설정하였다. 정상 예측치의 경우에 비록 식사 매출 상승세가 둔화되었다 하더라도 하계 극성수기인 2019년 7월 203억, 2019년 8월 212억으로 월별 매출액이 200억을 돌파할 것으로 예측되며 2020년에는 각각 214억 및 221억으로 증가할 것으로 예측되었다. 음료 매출액은 2019년 7월에는 77억, 2019년 8월에는 81억으로 예측되며 2020년에는 79억 및 82억으로 증가할 것으로 전망되었다. 저비용항공사들은 정규항공사에 비해 식음료 서비스가 전무하거나 유료화 정책으로 운영하기 때문에 저비용항공사 이용객들은 여객터미널에서 출국 및 입국 시 식음료 서비스를 이용하는 빈도가 높을 수 밖에 없을 것이다. 앞서 예측자료에 제시된 것처럼 식음료 매출은 저비용항공사의 성장과 동반하여 증대될 가능성이 높을 것이다.

A Study on Financial Ratio and Prediction of Financial Distress in Financial Markets

  • Lee, Bo-Hyung;Lee, Sang-Ho
    • 유통과학연구
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    • 제16권11호
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    • pp.21-27
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    • 2018
  • Purpose - This study investigates the financial ratio of savings banks and the effect of the ratio having influence upon bankruptcy by quantitative empirical analysis of forecast model to give material of better management and objective evidence of management strategy and way of advancement and risk control. Research design, data, and methodology - The author added two growth indexes, three fluidity indexes, five profitability indexes, and four activity indexes CAMEL rating to not only the balance sheets but also the income statement of thirty savings banks that suspended business from 2011 to 2015 and collected fourteen financial ratio indexes. IBMSPSS VER. 21.0 was used. Results - Variables having influence upon bankruptcy forecast models included total asset increase ratio and operating income increase ratio of growth index and sales to account receivable ratio, and tangible equity ratio and liquidity ratio of liquidity ratio. The study selected total asset operating ratio, and earning and expenditure ratio from profitability index, and receivable turnover ratio of activity index. Conclusions - Financial supervising system should be improved and financial consumers should be protected to develop saving bank and to control risk, and information on financial companies should be strengthened.

선택기반확산모형을 이용한 디지털 TV 수요예측 (Forecasting the Demand for the Substitution of Next Generations of Digital TV Using Choice-Based Diffusion Models)

  • 정우수;남승용;김형준
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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    • pp.1116-1123
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    • 2006
  • The methodological framework proposed in this paper addresses the strength of the applied Bass model by Mahajan and Muller(1996) that it reflects the substitution of next generations among products. Also this paper is to estimate and analyze the forecast of demand for products that do not exist in the marketplace. We forecast the sales of digital TV using estimated market share and data obtained by the face to face Interview. In this research, we use two methods to analyze the demand for Digital TV that are the forecasting the Demand for the Substitution and binary logit analysis. The logit analysis is to estimate the decisive factor of purchasing digital TV. The decisive factors are composed of purchasing plan, region, gender, TV price, contents, coverage, income, age, and TV program. We apply the model to South Korea's market for digital TV. The results show that (1) Income, region and TV price play a prominent part which is the decisive factor of purchasing digital TV. (2) We forecaste the demand of digital TV that will be demanded about 18 millions TVs in 2015

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