• Title/Summary/Keyword: Industrial demand

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Application of peak load for industrial water treatment plant design (공업용수 정수장 설계시 첨두부하 적용방안)

  • Kim, Jinkeun;Lee, Heenam;Kim, Dooil;Koo, Jayong;Hyun, Inhwan
    • Journal of Korean Society of Water and Wastewater
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    • v.30 no.3
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    • pp.225-231
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    • 2016
  • Peak load rate(i.e., maximum daily flow/average daily flow) has not been considered for industrial water demand planning in Korea to date, while area unit method based on average daily flow has been applied to decide capacity of industrial water treatment plants(WTPs). Designers of industrial WTPs has assumed that peak load would not exist if operation rate of factories in industrial sites were close to 100%. However, peak load rates were calculated as 1.10~2.53 based on daily water flow from 2009 to 2014 for 9 industrial WTPs which have been operated more than 9 years(9-38 years). Furthermore, average operation rates of 9 industrial WTPs was less than 70% which means current area unit method has tendency to overestimate water demand. Therefore, it is not reasonable to consider peak load for the calculation of water demand under current area unit method application to prevent overestimation. However, for the precise future industrial water demand calculation more precise data gathering for average daily flow and consideration of peak load rate are recommended.

Generalized Replacement Demand Forecasting to Complement Diffusion Models

  • Chung, Kyu-Suk;Park, Sung-Joo
    • Journal of Korean Institute of Industrial Engineers
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    • v.14 no.1
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    • pp.103-117
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    • 1988
  • Replacement demand plays an important role to forecast the total demand of durable goods, while most of the diffusion models deal with only adoption data, namely initial purchase demand. This paper presents replacement demand forecasting models incorporating repurchase rate, multi-ownership, and dynamic product life to complement the existing diffusion models. The performance of replacement demand forecasting models are analyzed and practical guidelines for the application of the models are suggested when life distribution data or adoption data are not available.

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An Effectivity Analysis of Production Control Policies Based on Demand and Production Characteristics (수요 및 생산특성에 따른 생산통제 기법간의 효율성 분석에 대한 연구)

  • Lee, Jang-Han;Jeong, Han-Il;Park, Jin-Woo
    • Journal of Korean Institute of Industrial Engineers
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    • v.23 no.2
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    • pp.403-420
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    • 1997
  • In this paper, we examine the effect of production uncertainty to production control policies. First, we examine two famous production control policies, namely, MRP and JIT from the view point of shop floor control perspective, and analyze the differences between them due to demand fluctuations and activity time variations. Second, we conduct simulation studies on MRP and JIT to draw out the effects of demand fluctuations and activity time variations. Demand fluctuations are further classified into demand lumpiness and demand irregularity. And, activity time variations are further classified into stationary time variations and non-stationary time variations. Experimental results show that, in terms of demand fluctuations, MRP is affected by demand lumpiness, but JIT by demand irregularity. And we also see that both MRP and JIT are influenced by stationary time variation with respect to activity time variations.

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A Study on the Forecast of Industrial Land Demand and the Location Decision of Industrial Complexes - In Case of Anseong City (산업용지 수요예측 및 산업단지 입지선정에 관한 연구 - 안성시를 사례로 -)

  • Cho, Kyu-Young;Park, Heon-Soo;Chung, Il-Hoon
    • Journal of Korean Society of Rural Planning
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    • v.14 no.3
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    • pp.37-51
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    • 2008
  • This study aims to build a model dealing with the location decision of new manufacturing firms and their land demand. The model is composed with 1) the binary logit model structure identifying a future probability of manufacturing firms to locate in a city and their land demand; and 2) the land use suitability of the land demand. The model was empirically tested in the case of Anseong City. We used establishment-level data for the manufacturing industry from the Report on Mining and Manufacturing Survey. 48 industry groups were scrutinized to find the location probability in the city and their land demand via logit model with the dependent variables: number of employment, land capital, building capital, total products, and value-added for a new industry since 2001. It is forecasted that the future land areas (to 2025) for the manufacturing industries in the city are $5.94km^2$ and additional land demand for clustering the existing industries scattered over the city is $2.lkm^2$. Five industrial complex locations were identified through the land use suitability analysis.

The Maximal Covering Location Problem with Cost Restrictions (비용 제약 하에서 서비스 수준을 최대화화는 설비입지선정에 관한 연구)

  • Hong, Sung Hak;Lee, Young Hoon
    • Journal of Korean Institute of Industrial Engineers
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    • v.30 no.2
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    • pp.93-106
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    • 2004
  • This paper studied a maximal covering location problem with cost restrictions, to maximize level of service within predetermined cost. It is assumed that all demand have to be met. If the demand node is located within a given range, then its demand is assumed to be covered, but if it is not, then its demand is assumed to be uncovered. An uncovered demand is received a service but at an unsatisfactory level. The objective function is to maximize the sum of covered demand, Two heuristics based on the Lagrangean relaxation of allocation and decoupling are presented and tested. Upper bounds are found through a subgradient optimization and lower bounds are by a cutting algorithm suggested in this paper. The cutting algorithm enables the Lagrangean relaxation to be proceeded continually by allowing infeasible solution temporarily when the feasible solution is not easy to find through iterations. The performances are evaluated through computational experiments. It is shown that both heuristics are able to find the optimal solution in a relatively short computational time for the most instances, and that decoupling relaxation outperformed allocation relaxation.

Demand Forecast of Industrial Research and Development Manpower (연구개발 인력의 산업별 수요 예측)

  • Seo, In-Seok;Kim, Ji-Soo;Kim, Dong-Mook
    • IE interfaces
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    • v.5 no.1
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    • pp.47-60
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    • 1992
  • Korean government plans to expand R & D expenditures to 39.8 billion dollars (5 percent of GNP) and to secure 150,000 R & D manpower (30 per 10,000 population) until 2001. This paper deals with industrial research and development manpower and is to forecast the demand of science and technology manpower to keep pace with the economic development goals which includes advancement of science and technology. This is composed of two parts. The first part is the review of the basic concepts of this research while the second one projects and overall future demand of science and technology manpower.

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An Analysis on the Forecasting Demand and Supply of Regional Industrial Labor for Customized Nurturing Human Resource: Focused on Manufacturing Industry in Chung-Nam Province (맞춤형 인력양성을 위한 지역 산업인력 수급분석: 충남지역 제조업을 중심으로)

  • Jung, Hae Yong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.2
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    • pp.147-159
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    • 2011
  • In this paper the demand and supply of labor are forecasted over the next 10 years for customized nurturing human resource focused on Manufacturing Industry in Chung-Nam Province. Despite that the industrial structure is rapidly changing, industrial labors are nurturing on the basis of past industrial structure. This research is conducted for reducing mismatched labors throughout forecasting human resources until 2020. As a practical approach, the BLS Methodology is partially utilized. And the previous researches and official statistics data are reviewed. In conclusion, this study presents that more human resources on Manufacturing Industry than other Industries will be needed in Chung-Nam province. In details, it shows that there will be required more Industrial labors for strategic industries for examples, Audio and Video related industry, and Car related industry which is propelling by overall local government. In additions, policy implications are developed by analyzing current status and forecasting the labor demand and supply in the Chung-Nam Manufacturing sector.

Development and Application of an Energy Input-Output Table for an Energy Demand and Supply Activities Analysis

  • Pruitichaiwiboon, Phirada;Lee, Cheul-Kyu;Baek, Chun-Youl;Lee, Kun-Mo
    • Environmental Engineering Research
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    • v.16 no.1
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    • pp.19-27
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    • 2011
  • This paper introduces an approach to identify the total energy consumption with subsequent $CO_2$ emissions, for both industrial and non-industrial sectors. Statistical data for 2005 were compiled in a national account system to construct an energy input-output table for investigating the influence between energy demand and supply activities. The methodological approach was applied to South Korea. Twelve types of energy and fifteen industrial and non-industrial sectors are formed as the compartments of the input-output table. The results provided quantitative details of the energy consumption and identified the significant contributions from each sector. An impact analysis on the $CO_2$ emissions for the demand side was also conducted for comparison with the supply side.

Balancing Loads on SONET Rings without Demand Splitting

  • Lee, Chae-Y.;Chang, Seon-G.
    • Journal of Korean Institute of Industrial Engineers
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    • v.22 no.2
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    • pp.303-311
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    • 1996
  • The Self Healing Ring (SHR) is one of the most Intriguing schemes which provide survivability for telecommunication networks. To design a cost effective SONET ring it is necessary to consider load balancing problems by which the link capacity is determined. The load balancing problem in SONET ring when demand splitting is not allowed is considered in this paper. An efficient algorithm is presented which provides the best solution starting from various Initial solutions. The initial solution is obtained by routing ell demands such that no demands pass through an are In the ring. The proposed algorithm iteratively improves the Initial solution by examining each demand and selecting the maximum load are in its path. The demand whose maximum arc load is biggest is selected to be routed in opposite direction. Computational results show that the proposed algorithm is excellent both in the solution quality and in the computational time requirement. The average error bound of the algorithm is 0.11% of the optimum and compared to dual-ascent approach which has good computational results than other heuristics.

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A Forecast-based Inventory Control Policy for an Item with Non-stationary Demand (비정상 수요를 가진 품목을 위한 예측기반 재고정책)

  • Park, Sung-Il;Kim, Jong-Soo
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.3
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    • pp.216-228
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    • 2011
  • A logistics system involving a supplier who produces and delivers a single product and a buyer who receives and sells the product to the final customers is analyzed. In this system, the supplier and the buyer establish a contract which specifies that the supplier will deliver necessary amount of the product to raise inventory up to a specified position at the beginning of each period. A new periodic order-up-to-level inventory control policy specifically designed for nonstationary end customer's demand is proposed for the system. Simulations are used to test the efficiency of the proposed policy. An analysis of the test results reveals that the proposed policy performs much better than does the existing order-up-to-level policy, especially when the demand is nonstationary.