• Title/Summary/Keyword: Location-Based Heuristic

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A Dual-Based Heuristic Algorithm for the Simple Facility Location Problem (단순 시설입지 선정문제에 대한 쌍대기번 휴리스틱)

  • 노형봉
    • Journal of the Korean Operations Research and Management Science Society
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    • v.12 no.2
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    • pp.36-41
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    • 1987
  • This paper presents a heuristic algorithm for solving the simple facility location problem. Its main procedure is essentially of 'add' type, which progressively selects facilities to open according to a certain criterion derived from the analysis of the linear programming dual. Computational experience with test problem from the literature is presented.

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The Optimal Allocation Model for SAM Using Multi-Heuristic Algorithm : Focused on Aircraft Defense (복합 휴리스틱 알고리즘을 이용한 지대공 유도무기 최적배치 모형 : 항공기 방어를 중심으로)

  • Kwak, Ki-Hoon;Lee, Jae-Yeong;Jung, Chi-Young
    • Journal of the Korean Operations Research and Management Science Society
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    • v.34 no.4
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    • pp.43-56
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    • 2009
  • In korean peninsular, aircraft defense with SAM (Surface-to-Air Missile) is very important because of short range of combat space in depth. Effective and successful defense operation largely depends on two factors, SAM's location and the number of SAM for each target based on missile's availability in each SAM's location. However, most previous papers have handled only the former. In this paper, we developed Set covering model which can handle both factors simultaneously and Multi-heuristic algorithm for solving allocation problem of the batteries and missile assignment problem in each battery. Genetic algorithm is used to decide optimal location of the batteries. To determine the number of SAM, a heuristic algorithm is applied for solving missile assignment problem. If the proposed model is applied to allocation of SAM, it will improve the effectiveness of air defense operations.

The Optimal Allocation Model for SAM Using Multi-Heuristic Algorithm : Focused on Theater Ballistic Missile Defense (복합-휴리스틱 알고리즘을 이용한 지대공 유도무기(SAM) 최적배치 방안 : 탄도미사일 방어를 중심으로)

  • Lee, Jae-Yeong;Kwak, Ki-Hoon
    • IE interfaces
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    • v.21 no.3
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    • pp.262-273
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    • 2008
  • In Korean peninsular, Air Defense with SAM(Surface-to-Air Missile) is very important, because of threatening by North Korea's theater ballistic missiles installed with nuclear or biochemistry. Effective and successful defense operation largely depends on two factors, SAM's location and the number of SAM for each target based on missile's availability in each SAM's location. However, most previous papers have handled only the former. In this paper, we developed Multi-heuristic algorithm which can handle both factors simultaneously for solving allocation problem of the batteries and missile assignment problem in each battery. To solve allocation problem, genetic algorithm is used to decide location of the batteries. To solve missile assignment problem, a heuristic algorithm is applied to determine the number of SAM for each target. If the proposed model is applied to allocation of SAM, it will improve the effectiveness of missile defense operations.

Location-Routing Problem for Reconnaissance Surveillance Missions of the Maritime Manned-Unmanned Surface Vehicles (해양 유·무인 수상함정의 감시정찰 임무를 위한 위치-경로 문제)

  • Jinho Lee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.4
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    • pp.238-245
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    • 2023
  • As technologies have been more quickly developed in this 4th Industry Revolution era, their application to defense industry has been also growing. With these much advanced technologies, we attempt to use Manned-Unmanned Teaming systems in various military operations. In this study, we consider the Location-Routing Problem for reconnaissance surveillance missions of the maritime manned-unmanned surface vehicles. As a solution technique, the two-phase method is presented. In the first location phase, the p-median problem is solved to determine which nodes are used as the seeds for the manned vehicles using Lagrangian relaxation with the subgradient method. In the second routing phase, using the results obtained from the location phase, the Vehicle Routing Problems are solved to determine the search routes of the unmanned vehicles by applying the Location Based Heuristic. For three network data sets, computational experiments are conducted to show the performance of the proposed two-phase method.

Study on a Layout Design Method for Leisure Ship Production Factories using a Heuristic Location-Allocation Algorithm

  • Lee, Dong-Kun;Jeong, Yong-Kuk;Shin, Jong-Gye
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.19 no.3
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    • pp.277-284
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    • 2013
  • To ensure that the production system of a factory is efficient, the factory layout design should consider the location and material flow plans of facilities, workshops, and storage areas. Highly productive factories need to have an optimized layout planning process, and a customized design methodology of the production system is a necessity for feasible layout planning. This paper presents a method for designing a layout module's size and shape and provides a heuristic location-allocation algorithm for the modules. The method is implemented and validated using a rich internet application-based platform. The layout design method is based on the leisure ship production process; this method can be used for designing the layout of a new factory or remodeling an existing factory and its production system. In contrast to existing layout methods, the inputs required for the proposed method, such as target products, production processes, and human-resource plans, are simple. This layout design method provides a useful solution for the initial stage of factory design.

The FRTU-Based Intelligent Fault Location Determination Strategy in Ubiquitous Based Distribution Systems

  • Ko, Yun-Seok
    • Journal of Electrical Engineering and Technology
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    • v.3 no.2
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    • pp.192-198
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    • 2008
  • This paper proposes a FRTU-based intelligent fault distance determination strategy in which each FRTU is able to avoid multiple estimations and reduce the level of estimation error by utilizing heuristic rules driven by voltage and current information collected by 1:1 communication with other FRTUs from the same zone in a ubiquitous-based distribution system. In the proposed method, each FRTU, at first, determines a fault zone and a fault path on the faulted zone based on the proposed heuristic rules which use its current data and the voltage data of its neighboring FRTUs as input data. Next, it determines the fault distance from its position based on the fault current estimated from the current data of the neighboring FRTUs. Finally, in order to prove the effectiveness of the proposed method, the diverse fault cases are simulated in several positions of the typical distribution system using the EMTP.

A Distance-Based Simulated Annealing Algorithm for the determination of the Number and the Location of Centralized Warehouses (중앙창고의 수와 위치 결정을 위한 거리 기반 Simulated Annealing 앨고리듬)

  • Lee, Dong-Ju;Kim, Jin-Ho
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.30 no.3
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    • pp.44-53
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    • 2007
  • Forming central warehouses for a number of stores can save costs in the continuous review inventory model due to economy of scale and information sharing. In this paper, transportation costs are included in this inventory model. Hence, the tradeoff between inventory-related costs and transportation costs is required. The main concern of this paper is to determine the number and location of central warehouses. Transportation costs are dependent on the distance from several central warehouses to each store. Hence, we develop an efficient simulated annealing algorithm using distance-based local search heuristic and merging heuristic to determine the location and the number of central warehouses. The objective of this paper is to minimize total costs such as holding, setup, penalty, and transportation costs. The performance of the proposed approach is tested by using some computational experiments.

A Model of Location Decisions of Natural Gas Filling Station Considering Spatial Coverage and Travel Cost (공간적 접근성 및 통행비용을 고려한 천연가스 충전소 최적 입지선정 모형)

  • Yu, Jeong-Whon;Lee, Mu-Young;Oh, Sei-Chang
    • Journal of Korean Society of Transportation
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    • v.26 no.3
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    • pp.145-153
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    • 2008
  • This study proposes a facility location model in consideration of spatial coverage and travel cost as an effort to make objective and effective decisions of natural gas filling stations. The proposed model is developed for fixed stations and consists of two stages. The first stage employs a heuristic algorithm to find a set of locations which satisfy the spatial coverage constraints determined by the maximum travel distance between the filling stations and bus depots. In the second stage, the optimal location of filling stations is determined based on the minimum travel cost estimated by using a modified transportation problem as well as the construction and maintenance costs of the filling stations. The applicability of the model is analyzed through finding the optimal location of filling stations for the city of Anyang, a typical medium-sized city in metropolitan Seoul, based on the demand of natural gas buses. This study is expected to help promote the spread of natural gas buses by providing a starting point of a objective and reasonable methodological perspective to address the filling station location problem.

Integrated Decision-making for Sequencing and Storage Location of Export Containers at a Receiving Operation in the Container Terminal with a Perpendicular Layout (수직 배치형 컨테이너 터미널 반입작업에서 수출 컨테이너의 작업순서와 장치위치 통합 의사결정)

  • Bae, Jong-Wook;Park, Young-Man
    • Journal of Navigation and Port Research
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    • v.35 no.8
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    • pp.657-665
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    • 2011
  • This study deals with an integrated problem for deciding sequencing and storage location of export containers together at its receiving operation in the container terminal with a perpendicular layout. The preferred storage location of an export container varies with the priority of the corresponding loading operation and the waiting time of an external truck depends on its storage time. This paper proposes the mixed integer programming model considering the expected arrival time and expected finish time of an external truck and the preferred storage location for its loading operation. And we suggest the heuristic algorithm based on a simulated annealing algorithm for real world adaption. We compare the heuristic algorithm with the optimum model in terms of the computation times and total cost and the performance of the heuristic algorithm is analyzed through a numerical experiment.

Assessing the Factors that Drive Consumers' Intention to Continue Using Online Travel Agencies: A Heuristic-systematic Model Perspective

  • Hyunae Lee;Namho Chung
    • Asia pacific journal of information systems
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    • v.29 no.3
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    • pp.468-488
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    • 2019
  • As the growth of online travel agencies (hereafter OTAs) accelerates, competition among hotels to gain exposure on the first page of OTA websites, and the financial burden, such as commissions hotels have to pay in return, are increasing. Therefore, to facilitate successful management in the tourism industry, it is important to establish what makes people continue the practice of using OTAs to book rooms in hotels and other accommodation outlets. By adopting the heuristic-systematic model (HSM), this study explores the factors that drive consumers' continued use of OTA and classifies them into heuristic cues (brand awareness, cost saving, and scarcity message) and systematic cues (recommendation quality and the ability to provide reputation). Furthermore, we divided the sample based on the location of hotels within and outside Korea, and investigated the different roles of the cues between two models. The results are expected to provide theoretical and practical implications for both OTAs and hotels.