• Title/Summary/Keyword: Cost Constraint

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A Design of Economic Sampling Inspection Plan for Production Process with AOQL Constraint (AOQL제약하 생산공정의 경제적 샘플링검사방식 설계)

  • 박명규
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.46
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    • pp.119-125
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    • 1998
  • In this study, a traditional concept of sampling inspection plan for the quality assurance system is extended to a consideration of economic aspects in total production system by representing and analyzing the effects between proceeding / succeeding production process including inspection. This approach recognizes that the decision to be made at one manufacturing process (or assembly process) determine not only the cost and the average outgoing quality level of that process but also the input parameters of the cost and the incoming quality to the succeeding process. By analyzing the effects of the average incoming and outgoing quality, manufacturing / assembly quality level and sampling inspection plan on the production system, mathematical models and solution technique to minimize the total production cost for a single product manufacturing system with specified average outgoing quality limit(AOQL) are suggested.

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Development of algorism to optimal operation of Power Generation considering Regional Regulation of CO2 Emission (지역별 CO2 배출량규제를 고려한 발전소 최적운전 알고리즘의 개발)

  • Kim, Yong-Ha;Kim, Young-Gil;Lee, Pyong-Ho;Jo, Hyun-Mi;Woo, Sung-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.11
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    • pp.1936-1941
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    • 2010
  • This purpose of this paper is to propose a methodology for optimal generating operation in power system to minimize the cost of generation subject to not only system constraints but also regional $CO_2$ emission constraints. To solve this ELD problem calculated range limit on minimum and maximum power outputs by regional Equal Generator how each regional capacity is connected into one and expressed Equal Fuel Cost Function considering regional $CO_2$ emission constraints. Accordingly, being modified regional load, new power outputs considering regional $CO_2$ emission constraints were calculated by ELD. The proposed model for evaluating availability is tested on IEEE RTS(Reliability Test System)-24 in detail.

Optimal Software Release Policies under Increasing Error Correction Cost (증가(増加)하는 오류수정비용하(誤謬修正費用下)에서의 최적(最適) 소프트웨어 방출정책(放出政策))

  • Bae, Do-Seon;Yun, Won-Yeong;Lee, Yeong-Bong
    • Journal of Korean Institute of Industrial Engineers
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    • v.15 no.1
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    • pp.51-63
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    • 1989
  • This paper considers software release problems based on Goel-Okumoto and S-shaped reliability growth models. Test of the software system is terminated after a preassigned time T, and it is released to the operational phase. It is assumed that correction cost of an error is increasing with test or operation time. Optimum software release time is obtained using total expected cost on the software life time as a criterion for optimization. In addition, optimal software release policies under the constraint of a software reliability requirement are discussed.

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Low Cost Motor Drive Technologies for ASEAN Electric Scooter

  • Tuan, Vu Tran;Kreuawan, Sangkla;Somsiri, Pakasit;Huy, Phuong Nguyen
    • Journal of Electrical Engineering and Technology
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    • v.13 no.4
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    • pp.1578-1585
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    • 2018
  • This work investigates two different motor drive technologies, switched reluctance motor (SRM) and induction motor (IM). They are designed optimally to meet the desired performances for electric scooters. The comparison of both motors is described in terms of performances and material cost. With the similar constraint, induction motor performs slightly better than switched reluctance motor. But this must be traded-off with higher weight and cost. Both drive systems are, however, suitable for electric scooter application. Finally, the range simulations are conducted on a European urban driving cycle, ECE15 driving cycle and a more realistic cycle, Bangkok driving cycle. The e-scooter ranges are varied from 36 to 109 km depending on driving cycle, motor technology and number of passengers.

Developing a Non-Periodic Preventive Maintenance Model Guaranteeing the Minimum Reliability (최소 신뢰도를 보장하는 비 주기적 예방보전 모형 개발)

  • Lee, Juhyun;Ahn, Suneung
    • Journal of Applied Reliability
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    • v.18 no.2
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    • pp.104-113
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    • 2018
  • Purpose: This paper proposes the non-periodic preventive maintenance policy based on the level of cumulative hazard intensity. We aim to construct a cost-effectiveness on the proposed model with relaxing the constraint on reliability. Methods: We use the level of cumulative hazard intensity as a condition variable, instead of reliability. Such a level of cumulative hazard intensity can derive the reliability which decreases as the frequency of preventive maintenance action increases. We also model the imperfect preventive maintenance action using the proportional age setback model. Conclusion: We provide a numerical example to illustrate the proposed model. We also analyze how the parameters of our model affect the optimal preventive maintenance policy. The results show that as long as high reliability is guaranteed, the inefficient preventive maintenance action is performed reducing the system operation time. Moreover, the optimal value of the proposed model is sensitive to changes in preventive maintenance cost and replacement cost.

Sample Size Determination for O/D Estimation under Budget Constraint (예산제약하에서 O/D 추정을 위한 최소표본율 결정)

  • Sin, Hui-Cheol;Lee, Hyang-Suk
    • Journal of Korean Society of Transportation
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    • v.24 no.3 s.89
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    • pp.7-15
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    • 2006
  • A large sample can Provide more information about the Population. As the sample size Increases, analysts will be more confident about the survey results. On the other hand, the costs for survey will increase in time and manpower. Therefore, determination of the sample size is a trade-off between the required accuracy and the cost. In addition, permitted error and significance level should be considered. Sample size determination in surveys for O/D estimation is also connected with confidence of survey result. However, the past methods were usually too simple to consider confidence. Therefore, a new method for O/D surveys was Proposed and it was accurate enough, but it has too large sample size when we have current budget constraint. In this research, several minimum sample size determination methods for origin-destination survey under budget constraint were proposed. Each method decreased sample size, but has its own advantages. Selection of the sample size will depend on the study Purpose and budget constraint.

Optimal Berth and Crane Scheduling Using Constraint Satisfaction Search and Heuristic Repair (제약만족 탐색과 휴리스틱 교정기법을 이용한 최적 선석 및 크레인 일정계획)

  • 류광렬;김갑환;백영수;황준하;박영만
    • Journal of Intelligence and Information Systems
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    • v.6 no.2
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    • pp.1-14
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    • 2000
  • The berth and crane scheduling problem in a container terminal encompasses the whole process of assigning berth to each ship, determining the duration of berthing, assigning container cranes to each ship, and determining the specific start and end time of each crane service, for all the ships scheduled to be arriving at the terminal during a certain scheduling horizon. This problem is basically a constraint satisfaction problem in which cranes and berths should be assigned in such a way that all the spatial and temporal constraints are satisfied without any interference. However, it is also an optimization problem because the requested arrival and departure time should be met for as many of the scheduled ships as possible, while the operation cost of the terminal should be minimized. In this paper, we present an effective and efficient approach to solving this type of problem, which combines constrain satisfaction search and heuristic repair. We first employ a constraint satisfaction search to find a feasib1e solution. Then, the feasible solution is modified to a more optimal one by iteratively applying our heuristic repair operations within the framework of constraint satisfaction search. Experimental results with a real data from Pusan East Container Terminal showed that our approach can derive a schedule of satisfactory quality in a very short time.

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Factors Associated with Use and Types of Multiple Concurrent Care and Education Arrangements in Early Childhood in South Korea

  • An, Miyoung
    • International Journal of Human Ecology
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    • v.15 no.2
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    • pp.81-92
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    • 2014
  • This paper explores factors associated with multiple concurrent care and education arrangements in early childhood in South Korea. It draws on a subsample from the Korean Longitudinal Survey of Women and Families. Results show that about one-fifth of the families utilized multiple arrangements for their first preschool child. The primary non-parental option in multiplicity was nurseries or kindergartens. Home care and education options such as home study materials were found to be most prevalent secondary non-parental option, followed by services at private institution as well as relative care. Children's age, care cost, non-parental care time and time constraints were found to be positively related to the incidence of multiplicity for the first preschool child while family income and cost constraints were negatively associated. As a secondary option in the multiplicity, services at private institutions increased with children's age, care cost and when the grandparents live far from the parents' house. Home care and education utilization was found more among mothers with low degree of time constraints. Utilization of relative support decreased with the children's age and meant lower care cost and increased with mother's employment, fathers' education, family income, cost constraints and when grandparents live nearby. This paper, based on the associated factors, suggests how issues of children enrichment and constraints might be related to the multiplicity.

Workload Allocation Methods in Discrete Manufacturing Systems:Model and Optimization

  • Yingwen, Zheng
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1362-1366
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    • 2003
  • Workload programming is allocating suitable workloads of production process according to the needs of products, which would minimize the total cost of both work and stock under some constraint conditions. In this paper, a production process flow chart of discrete manufacturing is presented by a Petri net, and the optimization model of workload-stock is established. An approach of the optimal workloads is provided by means of the integer matrix theory. An example is given to verify this method.

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A Study on the R&D Evaluation system of New & Renewable Energy (신재생에너지 평가시스템 구축)

  • Kim, Yu-Jeong
    • 한국신재생에너지학회:학술대회논문집
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    • 2005.06a
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    • pp.656-659
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    • 2005
  • his paper develops the systematic and quantitative priority-determining method for national investment using the framework of evaluating R&D. This study proposes multi criteria for evaluating the R&D of New & Renewable Energy through analysing the attribute of 11 types of energy. The framework is constituted by 4 criteria, the political urgency, economic impact, regional constraint. and technological attribute and the each criteria has 3 or 4 sub-criteria. These sub-criteria are weighted using AHP.

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