• 산업경영시스템학회지
• /
• 제38권3호
• /
• pp.159-168
• /
• 2015

Aggregate Production Planning determines levels of production, human resources, inventory to maximize company's profits and fulfill customer's demands based on demand forecasts. Since performance of aggregate production planning heavily depends on accuracy of given forecasting demands, choosing an accurate forecasting method should be antecedent for achieving a good aggregate production planning. Generally, typical forecasting error metrics such as MSE (Mean Squared Error), MAD (Mean Absolute Deviation), MAPE (Mean Absolute Percentage Error), and CFE (Cumulated Forecast Error) are utilized to choose a proper forecasting method for an aggregate production planning. However, these metrics are designed only to measure a difference between real and forecast demands and they are not able to consider any results such as increasing cost or decreasing profit caused by forecasting error. Consequently, the traditional metrics fail to give enough explanation to select a good forecasting method in aggregate production planning. To overcome this limitation of typical metrics for forecasting method this study suggests a new metric, WACFE (Weighted Absolute and Cumulative Forecast Error), to evaluate forecasting methods. Basically, the WACFE is designed to consider not only forecasting errors but also costs which the errors might cause in for Aggregate Production Planning. The WACFE is a product sum of cumulative forecasting error and weight factors for backorder and inventory costs. We demonstrate the effectiveness of the proposed metric by conducting intensive experiments with demand data sets from M3-competition. Finally, we showed that the WACFE provides a higher correlation with the total cost than other metrics and, consequently, is a better performance in selection of forecasting methods for aggregate production planning.

• 산업공학
• /
• 제3권1호
• /
• pp.21-29
• /
• 1990

This paper presents a linear programming formulation of the aggregate production planning problem for an optical instrument manufacturing company. Taking into account of the various requirements of the company, an L.P model is developed whose objective is to minimize the total cost of production during the planning horizon. The application results and its implications are well understood by the management and expected to be used as a guide line for future production planning.

• Industrial Engineering and Management Systems
• /
• 제13권4호
• /
• pp.369-382
• /
• 2014

This paper introduces a new multi-product multi-period multi-objective aggregate production planning problem. The proposed problem is modeled using multi-objective mixed-integer mathematical programming. Three objective functions, including minimizing total cost, maximizing customer services level, and maximizing the quality of end-product, are considered, simultaneously. Several constraints such as quantity of production, available time, work force levels, inventory levels, backordering levels, machine capacity, warehouse space and available budget are also considered. Some parameters of the proposed model are assumed to be qualitative and modeled using fuzzy sets. Then, a fuzzy goal programming approach is proposed to solve the model. The proposed approach is applied on a real-world industrial case study of a color and resin production company called Teiph-Saipa. The approach is coded using LINGO software. The efficacy and applicability of the proposed approach are illustrated in the case study. The results of proposed approach are compared with those of the existing experimental methods used in the company. The relative dominance of the proposed approach is revealed in comparison with the experimental method. Finally, a data dictionary, including the way of gathering data for running the model, is proposed in order to facilitate the re-implementation of the model for future development and case studies.

• 한국경영과학회:학술대회논문집
• /
• 대한산업공학회/한국경영과학회 1994년도 춘계공동학술대회논문집; 창원대학교; 08월 09일 Apr. 1994
• /
• pp.421-421
• /
• 1994

• 한국경영과학회지
• /
• 제18권1호
• /
• pp.127-138
• /
• 1993

The Production Switching Heuristic (PSH) develope dby Mellichamp and Love (1978) has been suggested as a more realistic, practical and intuitively appealing approach to aggregate production planning (APP). In this researh, PSH has been modified to present a more sophisticated open grid search procedure for solving the APP problem. The effectiveness of this approach has been demonstrated by determining a better near-optimala solution to the classic paint factory problem. The performance of the modified production switching heuristic is then compared in the context of the paint factory problem with results obtained by other prominent APP models including LDR, PPP, and PSH to conclude that the modified PSH offers a better minimum cost solution than the original PSH model.

• 대한산업공학회지
• /
• 제12권1호
• /
• pp.55-61
• /
• 1986

Mathematical forecasting models and a practical computer based forecasting system are developed for planning production in a manufacturing and distribution network. The forecasting system works at the highest level of a hierarchical computer-based decision support system consisting of the forecasting system, an aggregate planning system and a shop floor scheduling system. The dynamics of business operations for an actual company have been considered to make this study a unique comprehensive analysis of a real world forecasting problem.

• 농촌계획
• /
• 제11권4호
• /
• pp.93-98
• /
• 2005

A aggregate size distribution of soils is an important in successful crop production in reclaimed tidelands. The aggregate size distribution for this study were determined of 0.1mm, 0.25mm, 0.5mm, 1.0mm, and 2.0mm by wet sieving method. Agricultural activity, period of reclamation showed significant effects on aggregate size distribution in reclaimed tidelands. Aggregate MWD was greater in SS and KH(above 1.0m) than in YSG, GHD, SMG, and DH(below 0.5mm) reclaimed tidelands and tidelands. The percentage of aggregates less than < 2mm for SMG, GHD, and SM reclaimed tidelands and tidelands were ranged 8.9%, 36.7%, and 38.0%, respectively. The percentage of > 0.1mm aggregates for SMG, GHD, and SM reclaimed tidelands were ranged 9.0%, 26.0%, and 48.9%, respectively. Results indicated that aggregate size distribution of reclaimed tidelands and tidelands under various agricultural systems vary with reclamation period and soil type.

• 한국경영과학회지
• /
• 제13권2호
• /
• pp.59-65
• /
• 1988

This paper discusses the problem of coordinating aggregate planning and production schedules, minimizing the combined set-up inventory and capacity costs. In this study, by using the relation of fixed production quantity and the number of set-up we develop a heuristirc procedure of solving the discrete demand, fixed production quantity, variable capacity problem. First, we obtain the trade-off between set-up cost and capacity cost, then search the point minimizing the combined inventory and capacity costs.

• 한국인터넷방송통신학회논문지
• /
• 제21권5호
• /
• pp.181-188
• /
• 2021

총괄생산계획을 작성하는데 있어 운송법은 일반적으로 운송문제에 특화된 NCM, LCM, VAM 중 어느 하나로 초기 해를 구하고 SSM, MODI 중 어느 하나로 최적화를 수행하는 TSM에 대해 선형계획법 소프트웨어 패키지를 활용하고 있다. 반면에, 본 논문에서는 소프트웨어 패키지 도움 없이도 총괄생산계획을 쉽고 빠르며, 정확하게 작성하는 운송법을 제안한다. 제안된 알고리즘은 단순히 최소비용 우선 배정법을 적용하고, 재고기간을 최소화하는 방법을 제안하였다. 제안된 알고리즘을 6개의 실험데이터에 적용한 결과 VAM이나 LP에 비해 4개 데이터에 대해서는 보다 좋은 결과를, 나머지 2개 데이터에 대해서는 동일한 결과를 얻었다.

• 자원환경지질
• /
• 제57권2호
• /
• pp.129-141
• /
• 2024

본 연구는 지역산업연관표를 이용하여 생산-생산 승수를 도출하고 비금속광물 부문과 콘크리트 제품 부문을 통해 골재의 유발효과를 추정하였다. 유발효과를 파악할 수 있도록 지역산업연관표를 활용하여 분석을 진행하였다. 골재의 유발효과를 도출함에 있어 지역산업연관표를 이용하는 것은 부문분류 문제로 인해 어려움이 있는데, 본 연구는 골재를 포함한 비금속광물 부문을 골재로 간주한 분석과 골재생산의 대부분을 수요하는 콘크리트 제품 부문을 분석함으로써 부문분류 제약으로 인한 난점을 완화하고자 하였다. 산업연관효과를 추정하는 과정에서 골재의 생산감소 상황을 전제해 진행하였으며, 콘크리트 제품 부문을 분석하는 과정에서는 골재 생산감소로 인한 콘크리트 제품 생산감소의 효과, 즉 골재 1단위 생산감소는 콘크리트 제품 부문 0.8511단위의 생산감소를 전제로 분석하였다. 지역산업연관표가 구분하고 있는 17개 광역시도에 대해 자기지역 내 및 지역간 유발효과를 산출하였다. 골재 생산감소로 인해 자기지역에서 발생하는 생산감소 효과는 지역별 평균 1.28의 유발효과를 보였으며, 타지역의 골재 생산감소로 인한 생산감소 효과는 지역별 평균 0.10의 유발효과를 보였다. 취업효과도 산출하였는데, 지역별 골재 및 콘크리트 제품 부문의 규모에 따른 차이를 나타낼 수 있도록 10% 생산감소 상황을 전제하여 취업효과를 산출하였다.