• Title/Summary/Keyword: industrial production

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Analysis on the Production Efficiency of Private Industrial Enterprises in 31 Provinces of China

  • GAO, Xin;KIM, Hyung-Ho;YANG, Jun-Won
    • The Journal of Economics, Marketing and Management
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    • v.9 no.3
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    • pp.11-21
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    • 2021
  • Purpose: The purpose of this study is to understand the status quo of production efficiency in private industrial enterprises above designated scale in China's 31 provinces (including municipalities directly under the central government, autonomous regions) (hereinafter referred to as China's 31 provinces). Research design, data and methodology: Find out the factors affecting the development of production efficiency in private industrial enterprises, using DEA, Data Envelopment Analysis and Malmquist index analysis, build the evaluation model of production efficiency in private industrial enterprises, and analyze the data of China's 31 provinces private industrial enterprises in 2015-2019. Results: The research results show that the production efficiency of private industrial enterprises in China is improving on the whole. Although the total factor productivity has decreased slightly, the overall efficiency and pure technical efficiency have increased significantly. Conclusions: The conclusion of this study can provide reference for Chinese private industrial enterprises to improve production efficiency and make development plan. The limitation of this paper lies in the fact that the private industrial enterprises in inefficient provinces have not been given specific improvement plans.

Comparative Analysis of Rework Policies in Multistage Production System (다단계 생산시스템에서 재작업정책의 비교분석)

  • Shin, Jaeseon;Han, Jooyun;Jeong, Bongju
    • Journal of Korean Institute of Industrial Engineers
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    • v.32 no.1
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    • pp.29-41
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    • 2006
  • As the quality and environmental problems become one of the most concerned issues of company, the rework policy needs to be efficiently designed and implemented to sustain the company's competitiveness. This paper examines three basic rework policies in multi-stage production systems and analyzes them in terms of costs of setup, production, inspection, and inventory. For analyzing the performance of the rework policies, we propose mathematical models which can compute total production cost and determine the optimal production batch size to minimize the total production cost. The rework policies are classified by the number and location of inspection stages. Using the mathematical models, we could analyze the performances of rework policies and suggest the optimal rework policy according to each manufacturing environment. The analyses show that the proposed model can be used to analytically evaluate and choose the rework policies.

Cyclic Sequencing in Mixed-Model Production Systems (혼류 생산시스템의 주기적 생산순서)

  • Choi, Wonjoon;Kim, Yearnmin;Park, Changkwon;Lee, Yongil
    • Journal of Korean Institute of Industrial Engineers
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    • v.30 no.4
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    • pp.317-327
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    • 2004
  • In mixed-model production systems, various models of products are produced alternately on the same production line. When the total number of models or the total production quantity is large, it takes a long time to determine the production sequence of the products. In this paper, we will show that in case of product rate variation problem (PRV) problem with nonidentical symmetric convex discrepancy function, an optimum sequence can be obtained by repeating an optimum sequence in a reduced subproblem.

Heuristic-Based Algorithm for Production Planning Considering Allocation Rate Conformance to Prevent Unstable Production Chain

  • Kim, Taehun;Ji, Bongjun;Cho, Hyunbo
    • Industrial Engineering and Management Systems
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    • v.14 no.4
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    • pp.413-419
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    • 2015
  • This study solved the problem of unstable production chains by considering allocation rate conformance. We proposed two phased algorithm suitable for solving production planning that considers allocation rate conformance; the first phase was heuristic initial solution generation, and the second phase was tabu-search based solution improvement. By using three data sets which have different sizes of data and three different criteria, the results of proposed algorithm were compared with MIP results. The proposed algorithm showed the best production plan in terms of allocation rate conformance, and it was appropriate for other criteria; it solved the problem of unstable production chains by solving concentrated and unfair allocation.

Determination of Economic Inventory Quantity under Probabilistic Demands and Cancellation of Orders in Production System with Two Different Production Speeds (이중생산속도를 가지는 생산시스템에서 확률적인 수요와 주문취소를 고려한 경제적 재고량 결정)

  • Lim, Si Yeong;Hur, Sun;Park, You-Jin
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.3
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    • pp.313-320
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    • 2014
  • We consider the problem to find economic inventory quantity of a single commodity under stochastic demands and order cancellation. In contrast to the traditional economic production quantity (EPQ) model, we assume that once the amount of inventory reaches to a predetermined level of quantity then the production is not halted but its production speed decreases until the inventory level drops to zero. We establish two probabilistic models representing the behaviors of both the high-production period and low-production period, respectively, and derive the relationship between the level of inventory and costs of production, cancellation, and holding, from which the quantity of economic inventory is obtained.

A Study on the Decision-making of Industrial Location in view of Substituting Production factors (생산요소(生産要素) 대체(代替)를 고려(考慮)한 공업입지(工業立地)의 의사결정(意思決定)에 관한 연구(硏究))

  • Jeon, Man-Sul;Kim, Man-Sik
    • Journal of Korean Society for Quality Management
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    • v.13 no.1
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    • pp.41-50
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    • 1985
  • The purpose of this study is to consider the criteria for decision-making of industrial location in view of substituting production factors through maximizing profit instead of minimizing transportation cost. This paper makes use of mutual relationship between spatial economy in Euclidean distance and substituting production factors in production theory. Therefore, this paper will develop weak points in classical theory of industrial location by introducing production theory which has conception of substituting production factors.

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A Case Study on the Improvement of Display FAB Production Capacity Prediction (디스플레이 FAB 생산능력 예측 개선 사례 연구)

  • Ghil, Joonpil;Choi, Jin Young
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.2
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    • pp.137-145
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    • 2020
  • Various elements of Fabrication (FAB), mass production of existing products, new product development and process improvement evaluation might increase the complexity of production process when products are produced at the same time. As a result, complex production operation makes it difficult to predict production capacity of facilities. In this environment, production forecasting is the basic information used for production plan, preventive maintenance, yield management, and new product development. In this paper, we tried to develop a multiple linear regression analysis model in order to improve the existing production capacity forecasting method, which is to estimate production capacity by using a simple trend analysis during short time periods. Specifically, we defined overall equipment effectiveness of facility as a performance measure to represent production capacity. Then, we considered the production capacities of interrelated facilities in the FAB production process during past several weeks as independent regression variables in order to reflect the impact of facility maintenance cycles and production sequences. By applying variable selection methods and selecting only some significant variables, we developed a multiple linear regression forecasting model. Through a numerical experiment, we showed the superiority of the proposed method by obtaining the mean residual error of 3.98%, and improving the previous one by 7.9%.

Model-based Estimation of Production Parameters of Electronics FAB Equipment (모델기반의 전자부품 FAB설비 생산기준정보 추정)

  • Kang, Dong-Hun;Kim, Min-Kyu;Choi, Byoung-Kyu;Park, Bum-Chul
    • Journal of Korean Institute of Industrial Engineers
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    • v.33 no.2
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    • pp.166-173
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    • 2007
  • In this paper, we propose a model-based approach to estimating production parameters of semiconductor FAB equipment. For FAB scheduling, for example, we need to know equipment's production parameters such as flow time, tact time, setup time, and down time. However, these data are not available, and they have to be estimated from material move data such as loading times and unloading times that are automatically collected in modern automated semiconductor FAB. The proposed estimation method may be regarded as a Bayes estimation method because we use additional information about the production parameters. Namely, it is assumed that the technical ranges of production parameters are known. The proposed estimation method has been applied to a LCD FAB, and found to be valid and useful.

A Framework of the Integrated Production/Distribution Model with Non-Integer Lags (비정수 지연시간을 고려한 통합 생산/분배 모형)

  • Kim, Jong Soo;Shin, Ki Young;Moon, Chi Ung
    • Journal of Korean Institute of Industrial Engineers
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    • v.31 no.2
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    • pp.120-126
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    • 2005
  • Until now, the traditional production models and logistics have developed a broader strategic approach called supply chain. However, there are some obstacles to apply industry practice because of unrealistic assumptions. The most serious of them is that they assume the lead times are integer multiples of the planning time grid. This assumption makes it difficult to express the processing and transportation lags correctly. Thus, in this paper, we propose a new methodology for the integrated production/distribution model having non-integer time lags using the concept of dynamic production function. In case that the time lags are integer or non-integer, the dynamic production function reflects well the situation under given environments. Experiments show that the proposed model can express the real system more accurately than the prior model can.