• Title/Summary/Keyword: Optimal policy

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Bioeconomic Management Policy for Fisheries Resources (생물경제학적 어업자원 관리정책에 관한 연구)

  • PYO, Hee-Dong;KWON, Suk-jae
    • Journal of Fisheries and Marine Sciences Education
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    • v.16 no.1
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    • pp.84-98
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    • 2004
  • Due to a publicly owned resources, the overexploitation of the fisheries resources can result in externalities in the form of reduced future levels of yield. These problems can be theoretically improved through effective management of the fishery. The paper illustrates maximum sustainable yield(MSY), maximum economic yield(MEY) and F0.1 level of fishing mortality as the concept of optimal yield, and it theoretically shows that MSY is more appropriate for the optimal yield than MEY where prices increase even though MEY achieves the maximization of economic rent in a fishery assuming constant prices. And the paper presents several fisheries management tools and policies such as input controls, output controls and taxes. As the traditional approach to fishery management, input controls involve restrictions on the physical inputs into the production process(e.g. capital, time or technology) and output controls involve limits on the quantity of fish that can be landed. To introduce user cost into the harvest decisions of rent-seeking fishers, taxation, as a bioeconomic management policy of the fisheries, directly addresses the problems associated with the resource being unpriced. As most fisheries management plans, however, have increasing fisher income as an objective, taxes have not been introduced into any fisheries management policies despite their theoretical attraction.

Optimal Policy for (s, S) Inventory System Characterized by Renewal Arrival Process of Demand through Simulation Sensitivity Analysis (수요가 재생 도착과정을 따르는 (s, S) 재고 시스템에서 시뮬레이션 민감도 분석을 이용한 최적 전략)

  • 권치명
    • Journal of the Korea Society for Simulation
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    • v.12 no.3
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    • pp.31-40
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    • 2003
  • This paper studies an optimal policy for a certain class of (s, S) inventory control systems, where the demands are characterized by the renewal arrival process. To minimize the average cost over a simulation period, we apply a stochastic optimization algorithm which uses the gradients of parameters, s and S. We obtain the gradients of objective function with respect to ordering amount S and reorder point s via a combined perturbation method. This method uses the infinitesimal perturbation analysis and the smoothed perturbation analysis alternatively according to occurrences of ordering event changes. The optimal estimates of s and S from our simulation results are quite accurate. We consider that this may be due to the estimated gradients of little noise from the regenerative system simulation, and their effect on search procedure when we apply the stochastic optimization algorithm. The directions for future study stemming from this research pertain to extension to the more general inventory system with regard to demand distribution, backlogging policy, lead time, and inter-arrival times of demands. Another direction involves the efficiency of stochastic optimization algorithm related to searching procedure for an improving point of (s, S).

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A Policy-based Resource Management Framework for QoS Improvement of Mobile Terminals in heterogeneous Network (이종망에서 이동 단말기의 QoS를 향상시키는 정책기반 자원관리 프레임워크)

  • Lee, Kye-Im;Jung, Soon-Gi;Lee, Jong-Chan;Park, Sang-Jun
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.11
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    • pp.125-133
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    • 2010
  • A policy based resource management framework is proposed, that supports the optimal QoS by applying resources management function which is changed according to the status of mobile terminal and heterogeneous connections to hand-over process of mobile terminals based on heterogeneous network. To assess the performance of policy based resource management framework proposed in this thesis, in case of applying weighted policy for selecting optimal cell in hand-over occurring among duplicated heterogeneous connections, the transmission delay was remarkably enhanced as the number of multimedia sessions increased. This means, in case of QoS deterioration of multimedia session occurring in service connection, hand-over was executed with the optimal connection.

Optimal Replacement Policy under Capital Budgeting Constraints (자본제약하(資本制約下)의 최적대체정책(最適代替政策))

  • Lee, Sang-Beom;Cha, Dong-Wan
    • Journal of Korean Institute of Industrial Engineers
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    • v.3 no.2
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    • pp.57-62
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    • 1977
  • We consider the problem of determining the optimal replacement policy of the items which deteriorate appreciably with time and become obsolete. Most of the conventional engineering economy models including the widely-accepted MAPI model assume linearity of technological improvement over time, in obtaining the economic lives of items and the net present values of the replacement alternatives under consideration. The main achievement of this paper is in that it successfully relaxes this strict linearity assumption to accommodate various other types of technological improvements in determining those values. Based on these results, we also include in this paper the mathematical models by which to determine the optimal replacement policies of items both under and without capital budgeting constraints.

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A MATHEMATICAL MODEL OF A PREY-PREDATOR TYPE FISHERY IN THE PRESENCE OF TOXICITY WITH FUZZY OPTIMAL HARVESTING

  • PAL, D.;MAHAPATRA, G.S.;MAHATO, S.K.;SAMANTA, G.P.
    • Journal of applied mathematics & informatics
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    • v.38 no.1_2
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    • pp.13-36
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    • 2020
  • In this paper, we have presented a multispecies prey-predator harvesting system based on Lotka-Voltera model with two competing species which are affected not only by harvesting but also by the presence of a predator, the third species. We also assume that the two competing fish species releases a toxic substance to each other. We derive the condition for global stability of the system using a suitable Lyapunov function. The possibility of existence of bionomic equilibrium is considered. The optimal harvest policy is studied and the solution is derived under imprecise inflation in fuzzy environment using Pontryagin's maximal principle. Finally some numerical examples are discussed to illustrate the model.

An Integrated Ordering and Setup Cost Reduction Model (통합 주문 및 가동준비단축 모형)

  • 이창환
    • Journal of the Korean Operations Research and Management Science Society
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    • v.25 no.3
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    • pp.49-64
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    • 2000
  • A vendor supplies a product to a sole/major buyer on a lot-for-lot basis under deterministic inventory control conditions. The basic premise is that the setup cost reduction technologies are available to both the buyer and the vendor, and that the vendor's inventory and setup reduction investment costs differ from the buyer's. Therefore, an individually designed ordering and setup cost reduction policy will likely cause mismatches between the vendor's and the buyer's optimal cycle times. For this situation, we show that a joint optimal setup cost reduction and ordering policy, together with an appropriate side payment(quantity discount or premium price) schedule, can be designed in a spirit in a spirit of coordination to eliminate mismatches in individual optimal cycle times.

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A Sensitivity Analysis of the Optimal Inventory Control for a Vertically Integrated Supply Chain (수직적으로 통합된 공급사슬을 위한 최적 재고 정책의 민감도 분석)

  • Kim, Engab
    • Journal of Korean Institute of Industrial Engineers
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    • v.30 no.3
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    • pp.197-204
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    • 2004
  • This paper deals with a supply chain with a company and its contractor that produces products by the OEM contract with the company. The supply chain of interest has two distinct features. First, the company is the supplier of raw material required in the production at the contractor. Second, the company and its contractor make a delivery shipment arrangement that the replenishment lead time is determined depending on demand process. We show that the optimal inventory policy is monotonically changed as either the replenishment setup cost or inventory holding cost becomes increased or decreased. We also present asymptotic properties of the optimal inventory policy when either the number of outstanding customer orders or the inventory level becomes very large.

Optimal Maintenance Policy for Fishing Vessel Equipment Using Delay Time Analysis

  • Jung, Gi-Mun;Kwon, Young-Sub;Anand Pillay;Jin Wang
    • Proceedings of the Korean Reliability Society Conference
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    • 2000.11a
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    • pp.329-333
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    • 2000
  • Delay time analysis is a pragmatic mathematical concept readily embraced by engineers which has been developed as a means to model maintenance decision problem. This paper considers an inspection period using delay time analysis for fishing vessel equipment. We assume that delay time distribution is Weibull and inspections are perfect. In this paper, we determine the optimal inspection period which minimize the expected downtime per unit time.

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Design of Logistics Incentive Scheme and Inventory Policy with in a Supply Chain (공급사슬의 물류 인센티브 설계와 재고 정책)

  • 신창훈
    • Proceedings of the Korean DIstribution Association Conference
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    • 2000.10a
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    • pp.47-59
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    • 2000
  • Following the increasing importance of logistics function in today's company operation, this work explores the mechanism for cooperation within a supply chain, especially between a firm and an independent logistics supplier. We first characterize the optimal linear logistics contract based upon the recent developments in contract theory, and then investigate the effect of such a contract on the firm's inventory policy. The results indicate that the order quantity becomes smaller and the lead time becomes shorter and under the optimal contract than without the incentive scheme. Accordingly, the service level under the optimal contract becomes higher. These findings are in accordance with the literature on vertical control and JIT (Just in Time) philosophy.

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Optimal Dynamic Operating Policies for a Tandem Queueing Service System

  • Hwang, Dong-Joon
    • Journal of the Korean Operations Research and Management Science Society
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    • v.4 no.1
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    • pp.51-67
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    • 1979
  • This paper considers the problem of determining an optimal dynamic operating policy for a two-stage tandem queueing service system in which the service facilities (or stages) can be operated at more than one service rate. At each period of the system's operation, the system manager must specify which of the available service rates is to be employed at each stage. The cost structure includes an operating cost for running each stage and a service facility profit earned when a service completion occurs at Stage 2. We assume that the system has a finite waiting capacity in front of each station and each customer requires two services which must be done in sequence, that is, customers must pass through Stage 1 and Stage 2 in that order. Processing must be in the order of arrival at each station. The objective is to minimize the total discounted expected cost in a two-stage tandem queueing service system, which we formulate as a Discrete-Time Markov Decision Process. We present analytical and numerical results that specify the form of the optimal dynamic operating policy for a two-stage tandem queueing service system.

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