• Title/Summary/Keyword: Part Routing

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Bi-Criteria Process Routing Based on COMSOAL Approach

  • Lee Sung-Youl
    • Management Science and Financial Engineering
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    • v.11 no.2
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    • pp.45-60
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    • 2005
  • This paper investigates the application of the computer method COMSOAL (Computer Method of Sequencing Operations for Assembly Lines) to the process routing (PR) problem with multiple objectives. In any computer aided process planning (CAPP) system, one of the most critical activities for manufacturing a part could be to generate the sequence that optimizes production time, production cost, machine utilization or with multiple these criteria. The COMSOAL has been adopted to find the optimum sequence of operations that optimizes two major conflicting criteria : production cost and production quality. The COMSOAL is here slightly modified to simultaneously generate and evaluate a set of possible solutions (called as population) instead of processing a solution stepwise in each iteration. The significant features of the COMSOAL include : no parameters settings needed, and a guarantee of feasible solutions. Experimental results show that COMSOAL is a simple but powerful method to quickly generate multiple feasible solutions which are as good as the ones obtained from several other well-known process routing algorithms.

Route Selection Protocol based on Energy Drain Rates in Mobile Ad Hoc Networks (무선 Ad Hoc 통신망에서 에너지 소모율(Energy Drain Rate)에 기반한 경로선택 프로토콜)

  • Kim, Dong-Kyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.7A
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    • pp.451-466
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    • 2003
  • Untethered nodes in mobile ad-hoc networks strongly depend on the efficient use of their batteries. In this paper, we propose a new metric, the drain rate, to forecast the lifetime of nodes according to current traffic conditions. This metric is combined with the value of the remaining battery capacity to determine which nodes can be part of an active route. We describe new route selection mechanisms for MANET routing protocols, which we call the Minimum Drain Rate (MDR) and the Conditional Minimum Drain Rate (CMDR). MDR extends nodal battery life and the duration of paths, while CMDR also minimizes the total transmission power consumed per packet. Using the ns-2 simulator and the dynamic source routing (DSR) protocol, we compare MDR and CMDR against prior proposals for power-aware routing and show that using the drain rate for power-aware route selection offers superior performance results.

Routing Optimization using the Complementary MPLS for QoS Provisioning (서비스 품질 보장을 위한 상보형 MPLS를 이용한 라우팅 최적화)

  • 장석기;이경수;박광채
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.381-385
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    • 2004
  • In this paper, We consider various service models and mechanisms as a part of study for offering QoS with the requirement of user and discuss genetic algorithm and hybrid genetic algorithm for routing optimization in broa㏈and convergence network. If routing optimization based on OSPF is not sufficient, a number of MPLS paths can be set up to further improve QoS. We propose two mixed-integer programming models for the complementary MPLS problem, and consider the maximum link utilization within the network as the relevant network QoS measure

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Pipe Routing using Reinforcement Learning on Initial Design Stage (선박 초기 설계 단계에서의 강화학습을 이용한 배관경로 설계)

  • Shin, Dong-seon;Park, Byeong-cheol;Lim, Chae-og;Oh, Sang-jin;Kim, Gi-yong;Shin, Sung-chul
    • Journal of the Society of Naval Architects of Korea
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    • v.57 no.4
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    • pp.191-197
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    • 2020
  • Pipe routing is a important part of the whole design process in the shipbuilding industry. It has a lot of constraints and many tasks that should be considered together. Also, the result of this stage affects follow-up works in a wide scope. Therefore, this part requires skilled designers and a lot of time. This study aims to reduce the workload and time during the design process by automating the pipe route design on initial stage. In this study, the reinforcement learning was used for pipe auto-routing. Reinforcement learning has the advantage of dynamically selecting routes, unlike existing algorithms. Therefore, it is suitable for the pipe routing design in ship design process which is frequently modified. At last, the effectiveness of this study was verified by comparing pipelines which were designed by piping designer and reinforcement learning results.

Node Density Based Routing in Ad Hoc Networks (노드 밀집도 기반 애드학 라우팅)

  • Kim Sang-Kyung;Choi Seung-Sik
    • The KIPS Transactions:PartC
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    • v.12C no.4 s.100
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    • pp.535-542
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    • 2005
  • This paper proposes an on-demand ad hoc routing protocol, Node Density Based Routing (NDBR), which enhances the routing performance applying a new method to establish alternate patlis. It is important to reserve alternate paths for the route from source to destination in mobile ad hoc networks that are susceptible to failure due to the movement or the power exhaustion of mobile nodes. NDBR aims to establish a route that contains more alternate paths toward the destination by involving intermediate nodes with relatively more adjacent nodes in a possible route, and introduces a new routing criterion called 'node density.' This approach can localize the effects of route failures, and reduce control traffic overhead and route reconfiguration time by enhancing the reachability to the destination node without source-initiated route re-discoveries at route failures. This paper describes the route setup procedure using node density and the route re-configuration procedures employing alternate path information at the intermediate nodes. We show the performance of our routing schemes through a series of simulations using the Network Simulator 2 (ns-2).

A Time Synchronization Method of Sensor Network using Single Flooding Algorithm (단일 플러딩 라우팅 알고리즘을 활용한 센서 네트워크의 시간 동기화 기법)

  • Shin, Jae-Hyuck;Kim, Young-Sin;Jeon, Joong-Nam
    • The KIPS Transactions:PartC
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    • v.18C no.1
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    • pp.15-22
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    • 2011
  • Usually time synchronization is performed after routing tree is constructed. This thesis proposes a time synchronization algorithm combined with single-flooding routing tree construction algorithm in a single path. TSRA (Time Synchronization Routing Algorithm) uses routing packets to construct a routing tree. Two types of time information are added to the routing packet: one is the packet receiving time, and the other is the packet sending time. Time offset and transmission time-delay between parent node and child node could be retrieved from the added time information using LTS (Lightweight Time Synchronization) algorithm. Then parent node sends the time offset and transmission time to children nodes and children nodes can synchronize their time to the parent node time along the routing tree. The performance of proposed algorithm is compared to the TPSN (Timing-sync Protocol for Sensor Networks) which is known to have high accuracy using NS2 simulation tool. The simulation result shows that the accuracy of time synchronization is comparable to TPSN, the synchronization time of all sensor nodes is faster than TPSN, and the energy consumption is less than TPSN.

Large Scale Failure Adaptive Routing Protocol for Wireless Sensor Networks (무선 센서 네트워크를 위한 대규모 장애 적응적 라우팅 프로토콜)

  • Lee, Joa-Hyoung;Seon, Ju-Ho;Jung, In-Bum
    • The KIPS Transactions:PartA
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    • v.16A no.1
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    • pp.17-26
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    • 2009
  • Large-scale wireless sensor network are expected to play an increasingly important role for the data collection in harmful area. However, the physical fragility of sensor node makes reliable routing in harmful area a challenging problem. Since several sensor nodes in harmful area could be damaged all at once, the network should have the availability to recover routing from node failures in large area. Many routing protocols take accounts of failure recovery of single node but it is very hard these protocols to recover routing from large scale failures. In this paper, we propose a routing protocol, which we refer to as LSFA, to recover network fast from failures in large area. LSFA detects the failure by counting the packet loss from parent node and in case of failure detection LSFAdecreases the routing interval to notify the failure to the neighbor nodes. Our experimental results indicate clearly that LSFA could recover large area failures fast with less packets than previous protocols.

An efficient Load Balanced Cost Calculation Scheme for QoS Routing (QoS 라우팅을 위한 부하균등 비용산정 방식)

  • Hong, Jong-Joon;Kim, Seung-Hoon;Lee, Kyoon-Ha
    • The KIPS Transactions:PartC
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    • v.9C no.1
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    • pp.135-140
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    • 2002
  • An efficient QoS routing scheme needs to find a path that satisfies a given QoS requirements while consuming as few resources as Possible. In this paper, we propose two schemes of calculating resources'costs one for on-demand and one for precomputation QoS routing schemes. These schemes are effective in respect to the global network utilization and the balanced use of network resources. We also propose a QoS routing scheme for transit and Intra traffic in a large scale of domain-based network. For a domain in the network, the routing scheme first precomputes K multip1e paths between all pairs of ingress and ogress border routers while considering balancing of the expected load. We, therefore, expect that the paths are bettor than any other paths in respect to reserving the network resources on Paths. The routine: scheme combines inter and intra domain routings seamlessly and uses the same cost calculation scheme. cote that our cost calculation schemes for both kinds of traffic could be used in existing QoS routing protocols without and modification in small and large scale of networks.

A weighted similarity coefficient method for manufacturing cell formation (제조셀 형성을 위한 가중치 유사성계수 방법)

  • 오수철;조규갑
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1995.04a
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    • pp.122-129
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    • 1995
  • This paper presents a similarity coefficient based approach to the problem of machine-part grouping for cellular manufacturing. The method uses relevant production data such as part type, production volume, routing sequence to make machine cells and part families for cell formation. A new similarity coefficient using weighted factors is introduced and an algorithm for formation of machine cells and part families is developed. A comparative study of two similarity coefficients - Gupta and seifoddini's method and proposed method - is conducted. A software program using TURBO C has been developed to verify the implementation.

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A weighted similarity coefficient method for manufacturing cell formation (제조셀 형성을 위한 가중치 유사성계수 방법)

  • Oh, Soo-Cheol;Cho, Kyu-Kab
    • Journal of Korean Institute of Industrial Engineers
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    • v.22 no.1
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    • pp.141-154
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    • 1996
  • This paper presents a similarity coefficient based approach to the problem of machine-part grouping for cellular manufacturing. The method uses relevant production data such as part type, production volume, routing sequence to make machine cells and part families for cell formation. A new similarity coefficient using weighted factors is introduced and an algorithm for formation of machine cells and part families is developed. A comparative study of two similarity coefficient methods, Gupta and Seifoddini's method and the proposed method, is conducted.

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