• Title/Summary/Keyword: Sales Capacity

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An Experimental Study on the Quality Characteristics of Soil-Cement for Deep Mixing Method Using Carbon Capture Minerals(CCM) (이산화탄소 포집광물을 활용한 심층혼합처리용 Soil-Cement의 품질 특성에 관한 실험적 연구)

  • Jung, Woo-Yong;Ju, Hyang-Jong;Oh, Sung-Rok;Choi, Yun-Wang
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.8 no.2
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    • pp.153-160
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    • 2020
  • In this study, the optimum ratio of soil-cement was derived to utilize carbon capture minerals(CCM) as soil-cement for deep mixing method, quality characteristics of soil-cement mixed with carbon capture minerals were evaluated. The CCM is generated in the form of a slurry, and as a result of evaluating water content, it was found to be about 50%. Accordingly, the water content of CCM was removed in the unit water of Soil-cement mix. As a result of field mixing of soil-cement using CCM on field soil, it showed that the design allowable bearing capacity was satisfied by showing 3.0MPa or more as of 28 days of age. As a result of the hazard verification of carbon capture minerals, 0.055mg/L of Cu was detected, but satisfies the acceptance criteria, and no other harmful substances were eluted.

Analysis of Decentralized Energy using WADE Economic Model (WADE Economic Model에 의한 분산형전원 분석)

  • Kim, Yong-Ha;Woo, Sung-Min;Lee, Kwang-Sung
    • Journal of Energy Engineering
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    • v.17 no.2
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    • pp.88-99
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    • 2008
  • This paper analyzed quantitative effect on sorts of scenario for DE (Decentralized Energy) in the Korean Power System using WADE Economic Model. WADE Economic Model calculated shortage of power sales from the existing technologies above all. and it construct a new type of technologies according to sorts of scenario for DE. generating capacity and electricity generation is computed from this process. From now on can assess the side of environment meant $CO_2$, $NO_x$, $SO_x$, PM10 and cost meant electric retail cost that composed of construction, T&D, fuel, maintenance and environment.

A Case Survey and Analysis of Complex with Theme of Green Care and Healing (치유테마단지 사례조사 분석)

  • Koo, Hee-Dong;Kim, Dae-Sik;Lee, Han-Jun;Lim, Hye-Ji
    • Journal of Korean Society of Rural Planning
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    • v.22 no.2
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    • pp.153-164
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    • 2016
  • Developed countries in agriculture like Netherlands, Belgium and England, have managed Green Care policy and project during the last decades. The needs in Green Care is also increasing as new growth power in rural area of Korea. This study investigated sites which are already operating as complex with Green Care theme. This study surveyed the operating conditions like type, scale, location pattern, purpose, customer and finance for cases of the complex. The period of the survey is from 2015. 8. 11 to 2015. 09. 10 for the 24 activated cases in aspect of operation and management. Among the 24 cases, 16 cases were classified as Green Care Complex which facilities are aggregated a place, and the other 8 cases as Green Care Cluster which are distributed at several places. The analysis result showed that there were apparent distinction among cases in total budget, costs of construction, capacity for guest, and the total number of annual visitors. Despite of the type and scale the accommodation cost, the number of workers, and amount of sales have small deviation in distribution of values, although the cases have various type of contents and scale of space. The result of this study can be used as data of bench marking to develop the Green Care Complex or Cluster in rural area.

Cost-Based Directed Scheduling : Part I, An Intra-Job Cost Propagation Algorithm (비용기반 스케쥴링 : Part I, 작업내 비용 전파알고리즘)

  • Kim, Jae-Kyeong;Suh, Min-Soo
    • Journal of Intelligence and Information Systems
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    • v.13 no.4
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    • pp.121-135
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    • 2007
  • Constraint directed scheduling techniques, representing problem constraints explicitly and constructing schedules by constrained heuristic search, have been successfully applied to real world scheduling problems that require satisfying a wide variety of constraints. However, there has been little basic research on the representation and optimization of the objective value of a schedule in the constraint directed scheduling literature. In particular, the cost objective is very crucial for enterprise decision making to analyze the effects of alternative business plans not only from operational shop floor scheduling but also through strategic resource planning. This paper aims to explicitly represent and optimize the total cost of a schedule including the tardiness and inventory costs while satisfying non-relaxable constraints such as resource capacity and temporal constraints. Within the cost based scheduling framework, a cost propagation algorithm is presented to update cost information throughout temporal constraints within the same job.

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Issues on Particular Market Situation to Calculate Dumping Margin of Korean Steel Products by the USA

  • Wang, Jingjing;Choi, Chang Hwan
    • Journal of Korea Trade
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    • v.25 no.1
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    • pp.89-111
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    • 2021
  • Purpose - The U.S. Trade Preference Expansion Act (TPEA) of 2015 enables the US Department of Commerce (DOC) to inflate dumping margin when the particular market situation (PMS) exists in the exporter's home market. DOC applied PMS provisions to the steel products from Korea. This paper analyzes whether DOC's calculation by using the regression analysis is consistent with WTO rules. Design/methodology - This paper analyzes the PMS application in law and regression analysis that extends the data period from 10 years to 18 years using the same economic model with DOC, and changes the country group according to the quantities of steelmaking capacity. Findings - Results show that DOC's argument conflating the sales-based with cost-based PMS designed to inflate dumping margins might not be consistent with WTO Antidumping Agreement Article 2.2 and 2.2.1.1 in which costs shall normally be calculated on the basis of records kept by the exporter, providing generally accepted accounting principles and reasonably reflection of the costs and PMS that exists in the Korean steel product markets. Even if it will be consistent, DOC's calculated margin by the regression analysis using a 10-year data is a big gap (5 times) compared with an 18-year data projection and different countries' data through the same methodology, which is a huge gap of regression coefficient. It means that dumping margin would be very wide range from 7.8% to 38.54% and unstable to calculate. Inflating dumping margin by DOC using regression analysis would not only be inconsistent with WTO rules, but also projection result is unreliable. Originality/value - Literature papers have mainly analyzed WTO law itself. This paper however, would be the first attempt to analyze the DOC's new way of dumping margin calculation in both manners of law and an empirical methodology perspective at the same time.

Development of Smart Factory Diagnostic Model Reflecting Manufacturing Characteristics and Customized Application of Small and Medium Enterprises (제조업 특성을 반영한 스마트공장 진단모델 개발 및 중소기업 맞춤형 적용사례)

  • Kim, Hyun-Deuk;Kim, Dong-Min;Lee, Kyung-Geun;Yoon, Je-Whan;Youm, Sekyoung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.3
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    • pp.25-38
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    • 2019
  • This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.

A Study on Current Status and Trends of Recycling Used Water Purifier Filters (가정용 정수기 폐필터 재활용 동향에 관한 연구)

  • Shin, Yu Jeong;Kim, Young In;Kim, Jung Gun;Yeom, Seong Il;Lee, Do Gyun
    • Journal of Korean Society on Water Environment
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    • v.37 no.5
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    • pp.398-404
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    • 2021
  • The use of water purifiers has been increasing every year due to increased drinking water safety concerns raised by the water pollution accidents occasionally reported. Currently, more than 10 million water purifiers have been distributed in Korea, and the estimation of the purifier sales reaches two million units per year. As a result, the number of used water purifier filters that must be replaced on a regular basis has gradually increased. However, regardless of the considerations for the capacity of used filters remaining, water purifier filters were replaced and collected at regular intervals. The high cost of disposal of the used filters by landfill or incineration were required. Thus, in this study, the current status and trends of recycling technologies for used water purifier filters were reviewed. It is noted that there was insufficient statistical data to understand the current status of the difference between the number of used water filters discarded and the number of those recycled. Most studies on the recycling of old water purifier filters have concentrated on pretreatment and cleaning methods for sediment filters and membrane filters, with the goal of extending the lifespan of used filters. Further, the study suggested future study directions on the recycling of used water purifier filters, which could be useful information on establishing environmental policy to promote the recycling of used filters.

Developing Appropriate Inventory Level of Frequently Purchased Items based on Demand Forecasting: Case of Airport Duty Free Shop (수요예측을 통한 다빈도 구매상품의 적정재고 수준 결정 모형개발: 공항면세점 사례)

  • Cha, Daewook;Bak, Sang-A;Gong, InTaek;Shin, KwangSup
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.1-15
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    • 2020
  • The duty-free industry before COVID-19 has continuously grown since 2000, along with the increase of demand in tourism industry. To cope with the increased demand, the duty free companies have kept the strategies which focused on the sales volume. Therefore, they have developed the ways to increase the volume and capacity, not the efficient operations. In the most of previous research, however, authors have proposed the better strategies for marketing and supporting policies. It is very hard to find the previous research which dealt with the operations like logistics and inventory management. Therefore, in this study, it has been predicted the future demand of frequently purchased items in airport duty free shops based on the estimated number of departing passengers by the linear regression, which concluded with the appropriate inventory level. In addition, it has been analyzed the expected effects by introducing the inventory management policy considering the cost and efficiency of operations. Based on the results of this study, it may be possible to reduce total cost and improve productivity by predicting the excessive inventory problems at duty-free shops and improving cycles of supplying items.

Artificial Intelligence Fulfillment Service Platform in Small Business Areas (소상공인 집적지에서의 인공지능 Fulfillment 서비스 Platform 연구)

  • Kim, Hyo-young;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.219-221
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    • 2022
  • Seoul Metropolitan City, the world's top 10 cities and Metro City, has traditional urban manufacturing industries such as printing, sewing, and mechanical metals. These manufacturing industries have developed in the form of mutual assistance by forming small business clusters according to detailed industries and processes. Due to the nature of the cluster, logistics between companies for each process in the cluster are being carried out quickly, but it is difficult for relatively small small business owners to prepare order processing services for consumers of finished products. Therefore, it is urgent to introduce an integrated order fulfillment service platform for collective business owners for smooth order and delivery processing. In this paper, we collect and analyze the existing Fulfillment Service data of small business owners in the printing industry among traditional urban industries, and design an artificial intelligence Fulfillment Service Platform system applying CRNN, k-NN, and ID3 Decision Tree algorithm. Through this study, it is expected to greatly contribute to the increase in sales and capacity of small business owners by enabling the use of individual orders and customized delivery services that can be used by any small business owner in the cluster.

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A Study of the Determination of the Priority of Strategies for the Activation of the Business Ecosystem of Big Science: With a Focus on Nuclear Fusion and Accelerator Devices (거대과학 산업생태계 활성화 전략의 우선순위 결정에 관한 연구: 핵융합과 가속기 장치를 중심으로)

  • Cho, Wonjae;Kim, Youbean;Tho, Hyunsoo;Chang, Hansoo
    • Journal of Korea Technology Innovation Society
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    • v.16 no.4
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    • pp.1163-1186
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    • 2013
  • Big science such as nuclear fusion accelerators shares the characteristic of requiring long-term and massive budget input, human power, and related state-of-the-art technology. Because big science, by nature, thus requires large-scale budgets and facilities yet harbors the possibility of failure, most projects are led by the government. When the actual circumstances are examined, however, such projects are often implemented through the formation of cooperative relations with small and medium businesses (SMBs) possessing outstanding technological capacity. On the other hand, the reality is that the entry of corporations into the business ecosystem of big science is not easy and that even those that have once entered big science likewise fail to find sales outlets for technology that they have developed following the supply of single items, thus leading their technological capacity to lie idle. Consequently, based on an awareness of the problem, the present study seeks to propose strategies for activating the business ecosystem of nuclear fusion and accelerators and to present alternatives regarding which policy tasks must be pursued first by using the analytic hierarchy process (AHP) technique. The present study derived the four policy alternatives of approach, care, expansion, and infrastructures in accordance with the results of empirical analysis to activate the business ecosystem of nuclear fusion and accelerators and analyzed their priority in terms of urgency and effectiveness, the results of which were, in this order: care-approach-expansion-infrastructures. The significance of such research results lie in presenting the policy direction when the government determines which policy task must be pursued first and implements strategies for the activation of the business ecosystem of nuclear fusion and accelerators with limited financial resources in the future.

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