• Title/Summary/Keyword: Budget Allocation

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A Simulation Based Study on Increasing Production Capacity in a Crankshaft Line Considering Limited Budget and Space (예산과 공간 제약하에서 크랭크샤프트 생산라인의 생산능력 증대를 위한 시뮬레이션 기반의 연구)

  • Wang, Guan;Song, Shou;Shin, Yang Woo;Moon, Dug Hee
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.5
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    • pp.481-491
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    • 2014
  • In this paper, we discussed a problem for improving the throughput of a crankshaft manufacturing line in an automotive factory in which the budget for purchasing new machines and installing additional buffers is limited. We also considered the constraint of available space for both of machine and buffer. Although this problem seems like a kind of buffer allocation problem, it is different from buffer allocation problem because additional machines are also considered. Thus, it is not easy to calculate the throughput by mathematical model, and therefore simulation model was developed using $ARENA^{(R)}$ for estimating throughput. To determine the investment plan, a modified Arrow Assignment Rule under some constraints was suggested and it was applied to the real case.

Rent-seeking for Budgetary Allocations in Korean Fisheries (수산예산의 배분변화에 관한 분석- 지대추구이론을 중심으로 -)

  • SHIN, Yong-Min
    • Journal of Fisheries and Marine Sciences Education
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    • v.17 no.2
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    • pp.180-192
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    • 2005
  • In this paper I tried quantitative measures of the rent-seeking for budgetary allocations in Korean fisheries. There is a great deal of ignorance about the level of rent-seeking that takes place as a consequence of government expenditures and the potential for influencing their allocation, and so the attempt by Kats and Rosenberg(1989) to measure this in terms of the extent of annual changes in these allocations was a significant step forward. The opportunity to concentrate net public expenditure benefits within the fiscal function of the state gives rise to rent-seeking by special interest taxpayer-citizens through government budget allocations, special interest groups and coalitions of special interest groups. There are several important implications of budgetary rent-seeking. Budgetary rent-seeking is composed of 'income' and substitution effects, the budgetary 'income' effect is the general increase in government expenditures from one period to another. According to result of this analysis, average expenditures were 17.0% of total fisheries budget in 1966-2005. Therefore, distribution of fisheries budget should be converted by indirect support systems to reduce these rent-seeking behaviors.

A strategic R&D resource allocation and project selection based on R&D policy and objectives (정책목표와 연계한 전략적 R&D 투자재원배분 및 연구과제 선정방안연구)

  • 서창교;박정우
    • Journal of the Korean Operations Research and Management Science Society
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    • v.16 no.2
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    • pp.61-61
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    • 1991
  • We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently

A strategic R&D resource allocation and project selection based on R&D policy and objectives. (정책목표와 연계한 전략적 R&D 투자재원배분 및 연구과제 선정방안연구)

  • 서창교;박정우
    • Korean Management Science Review
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    • v.16 no.2
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    • pp.61-77
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    • 1999
  • We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently.

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DCBA-DEA: A Monte Carlo Simulation Optimization Approach for Predicting an Accurate Technical Efficiency in Stochastic Environment

  • Qiang, Deng;Peng, Wong Wai
    • Industrial Engineering and Management Systems
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    • v.13 no.2
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    • pp.210-220
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    • 2014
  • This article describes a 2-in-1 methodology utilizing simulation optimization technique and Data Envelopment Analysis in measuring an accurate efficiency score. Given the high level of stochastic data in real environment, a novel methodology known as Data Collection Budget Allocation-Data Envelopment Analysis (DCBA-DEA) is developed. An example of the method application is shown in banking institutions. In addition to the novel approach presented, this article provides a new insight to the application domain of efficiency measurement as well as the way one conducts efficiency study.

A Study of Securing various Financial Resources for the Financial Stability of the Private Colleges (대학의 재정 안정화를 위한 재정확보에 관한 연구)

  • Roh, Kyung-Ho
    • Management & Information Systems Review
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    • v.19
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    • pp.49-81
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    • 2006
  • The private college education plays a crucial role both in training and supplying manpower needed for national economic growth and in increasing employability and personal labor earnings of individual workers. In oder for private college education to effectively respond to the rapid changes in industrial and occupational structures, it is necessary to secure appropriate level of investment funds and manage them efficiently. For this, it is required to discuss the structure, magnitude and management mechanism of the current private college education finance, changes in future demand for private college education and resultant changes in budget estimates, and new financial resources and allocation schemes. This study attempted to analyze current status and problems of private college education finance in Korea and, based on this analysis, to suggest future policy directions to improve private college education finance system. In order to make the private college education system in Korea competent and competitive enough to survive in international market, it is prerequisite to provide enough budget for the private college education and to manage the private college education finance in more efficient ways. First, for securing the adequacy and stability of investment budget for the private college education, it is recommended to 1) increase the government budget and put emphasis on the private college education; 2) diversify financial resources and induce financial contribution from private sector such as school juridical persons and enterprises. Second, for higher efficiency of financial management, it is recommended 1) make valid allocation standards and mechanism; 2) introduce competition system; 3) develop and utilize evaluation mechanism for the private college education finance to check adequacy, efficiency, accountability, and effectiveness; 4) apply consumer-oriented financial management scheme. In addition to the above policy measures, it is necessary to 1) make scientific forecasts of industrial and occupational structures periodically and apply these analyses to medium & long-term the private college education planning; and 2) redesign budget accounting system and develop the private college education performance indicators for the evaluation of accountability of the private college education institutions and administration institutes.

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Allocating the Budget of Port Incentives for Customers (항만 인센티브 예산의 합리적 배분방법)

  • Park, Byung-In
    • Journal of Korea Port Economic Association
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    • v.32 no.3
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    • pp.139-154
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    • 2016
  • The port incentive scheme currently implemented in various Korean ports is used as a marketing tool to increase price competitiveness. Typically, ports implement piecemeal imitation strategies to enhance their competitiveness, rather than a precisely designed system. A precise analysis of the effectiveness of a port's system and scheme redesign are lacking because budget allocation is done without input from customers and freight groups. This study models the incentives faced by ports using a linear programming model. We use the Gwangyang port as the base case. Our analysis of the Gwangyang port reveals that there are insufficient incentives implemented when a traditional qualitative analysis is used. We also identify any excess, deficiency, or absence of the incentive effect for each type of customer and freight group. We find the overall budget of the incentive scheme to be more rational when ports allocate funds to minimize port mileage, and allocate 61.77 percent and 38.23 percent of the budget on existing and new (or increased) cargo inventory, respectively. Future studies can build on our work by further considering basic inputs, and by adding a system to estimate the input data of our model to identify constraints and thus provide a more accurate incentive scheme.

An Algorithm for Optimal Allocation of Spare Parts

  • Jee, Man-Won
    • Journal of the military operations research society of Korea
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    • v.9 no.1
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    • pp.29-49
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    • 1983
  • The algorithm developed in this paper utilized kettelle's [1] idea of the undominated allocation sequence and his way of tableau computation to solve the more general spares allocation problem in the system availability optimization. The algorithm is to optimally allocate resources to the independent modules which are connected to be series/parallel/mixed system configurations. It has advantages over the standard dynamic programming algorithm by eliminating the need for backtracking and by solving the allocation problem for any budget size. By careful heuristic inspection the algorithm can be made very efficient for manual calculations because large blocks of cells can be eliminated from computation. A numerical example is provided to illustrate the allocation algorithm.

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Evaluation and Optimization of Resource Allocation among Multiple Networks

  • Meng, Dexiang;Zhang, Dongchen;Wang, Shoufeng;Xu, Xiaoyan;Yao, Wenwen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.10
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    • pp.2395-2410
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    • 2013
  • Many telecommunication operators around the world have multiple networks. The networks run by each operator are always of different generations, such as 2G and 3G or even 4G systems. Each system has unique characters and specified requirements for optimal operation. It brings about resource allocation problem among these networks for the operator, because the budget of each operator is limited. However, the evaluation of resource allocation among various networks under each operator is missing for long, not to mention resource allocation optimization. The operators are dying for an algorithm to end their blind resource allocation, and the Resource Allocation Optimization Algorithm for Multi-network Operator (RAOAMO) proposed in this paper is what the operators want. RAOAMO evaluates and optimizes resource allocation in the view of overall cost for each operator. It outputs a resource distribution target and corresponding optimization suggestion. Evaluation results show that RAOAMO helps operator save overall cost in various cases.

Optimal Resource Allocation for Fleet Availability Management in Closed Queueing Network

  • Park Kyung S.;Ahn Byung-ha
    • Journal of the military operations research society of Korea
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    • v.6 no.2
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    • pp.47-67
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    • 1980
  • Interactions of major activities participating in fleet operations are investigated in the framework of a closed queueing network system with finite aircrafts assigned to it. An implementable algorithm is developed, which is useful for computing the distributions needed to evaluate the effects of the interactions on the fleet operations. The availability management program is focused on seeking an optimal resource allocation to multiple repair-shops to maximize the fleet availability subject to the budget constraint.

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