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A Production Planning Algorithm for a Supply Chain Network Considering Bark-Order and Resource Capacity Using GRASP Method (GRASP 기법을 이용한 주문이월과 자원제약을 고려한 공급사슬 망에서의 생산계획 알고리즘)

  • Shin, Hyun-Joon;Lee, Young-Sup
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.3
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    • pp.29-39
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    • 2009
  • In an environment of global competition, the success of a manufacturing corporation is directly related to how it plans and executes production in particular as well as to the optimization level of its process in general. This paper proposes a production planning algorithm for the Multi-Level, multi-item Capacitated Lot Sizing Problem (MLCLSP) in supply chain network considering back-order. MLCLSP corresponds to a mixed integer programming (MIP) problem and is NP-hard. Therefore, this paper proposes an effective algorithm, GRHS (GRASP-based Rolling Horizon Search) that solves this problem within reasonable computational time and evaluates its performance under a variety of problem scenarios.

Investigation of Optimal Nesting Systems on a Board (판재 최적절단 시스템에 관한 연구)

  • Rhee, Zhang-Kyu;Lee, Sun-Kon
    • Journal of the Korea Safety Management & Science
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    • v.10 no.4
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    • pp.337-342
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    • 2008
  • This paper investigates the optimal nesting system for a board. A hybrid method is used to search the optimal solution for rectangular nesting problem. This method is composed of heuristic approach algorithm. An engineer's experience of board nesting in which a loss occurred to sheet because of various individual error and diffidence. So, item layout at resource sheet were evaluated in engineering algorithm logic in which specially designed was installed. The nesting system consists of Lisp and Visual Basic. The system was controlled by AutoCAD so as to best item batch path test.

Investigation of Optimization Nesting Systems on a Board (판재 최적절단 시스템에 관한 연구)

  • Rhee, Zhang-Kyu;Lee, Sun-Kon;Jo, Dae-Hee;Kim, Bong-Gak
    • Proceedings of the Safety Management and Science Conference
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    • 2008.11a
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    • pp.649-658
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    • 2008
  • This paper investigates the optimal nesting system for a board. A hybrid method is used to search the optimal solution for rectangular nesting problem. This method is composed of heuristic approach algorithm. An engineer's experience of board nesting in which a loss occurred to sheet because of various individual error and diffidence. So, item layout at resource sheet were evaluated in engineering algorithm logic in which specially designed was installed. The nesting system consists of Lisp and Visual Basic. The system was controlled by AutoCAD so as to best item batch path test.

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온라인 목록 검색 행태에 관한 연구-LINNET 시스템의 Transaction log 분석을 중심으로-

  • 윤구호;심병규
    • Journal of Korean Library and Information Science Society
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    • v.21
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    • pp.253-289
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    • 1994
  • The purpose of this study is about the search pattern of LINNET (Library Information Network System) OPAC users by transaction log, maintained by POSTECH(Pohang University of Science and Technology) Central Library, to provide feedback information of OPAC system design. The results of this study are as follows. First, for the period of this analysis, there were totally 11, 218 log-ins, 40, 627 transaction logs and 3.62 retrievals per a log-in. Title keyword was the most frequently used, but accession number, bibliographic control number or call number was very infrequently used. Second, 47.02% of OPAC, searches resulted in zero retrievals. Bibliographic control number was the least successful search. User displayed 2.01% full information and 64.27% local information per full information. Third, special or advanced retrieval features are very infrequently used. Only 22.67% of the searches used right truncation and 0.71% used the qualifier. Only 1 boolean operator was used in every 22 retrievals. The most frequently used operator is 'and (&)' with title keywords. But 'bibliographical control number (N) and accessionnumber (R) are not used at all with any operators. The causes of search failure are as follows. 1. The item was not used in the database. (15, 764 times : 79.42%). 2. The wrong search key was used. (3, 761 times : 18.95%) 3. The senseless string (garbage) was entered. (324 times : 1.63%) On the basis of these results, some recommendations are suggested to improve the search success rate as follows. First, a n.0, ppropriate user education and online help function let users retrieve LINNET OPAC more efficiently. Second, several corrections of retrieval software will decrease the search failure rate. Third, system offers right truncation by default to every search term. This methods will increase success rate but should considered carefully. By a n.0, pplying this method, the number of hit can be overnumbered, and system overhead can be occurred. Fourth, system offers special boolean operator by default to every keyword retrieval when user enters more than two words at a time. Fifth, system assists searchers to overcome the wrong typing of selecting key by automatic korean/english mode change.

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A Study on Next Generation OPAC's Interface and Function (차세대 OPAC의 인터페이스와 기능에 관한 연구)

  • Gu, Jung-Eok;Kwak, Seung-Jin
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.18 no.2
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    • pp.61-88
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    • 2007
  • The purpose of this study is to provide an actual basic data and helps for arranging the next generation OPAC's interface and function through improving the existing OPAC's interface and improvement in the domestic library. In this study, factors to be importantly considered for improving the OPAC's interface and function were examined based on the preceding studies on OPAC concept & development process, user's library use style, user use style of OPAC, and recognition on library's crisis, and actual condition investigation result. Also, the case analysis on the existing OPAC's interface and function was focused on the search window, search item, search method, alignment function, search result display and search result feedback. Also, the search interface and search function of the next generation OPAC which is provided by the recently-developed domestic and foreign library utilization, and the detailed case were analyzed in the aspect of Library 2.0 service. Finally, the measures for improving the existing OPAC's interface and function in domestic library were suggested.

Customized Configuration with Template and Options (맞춤구성을 위한 템플릿과 Option 기반의 추론)

  • 이현정;이재규
    • Journal of Intelligence and Information Systems
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    • v.8 no.1
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    • pp.119-139
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    • 2002
  • In electronic catalogs, each item is represented as an independent unit while the parts of the item can be composed of a higher level of functionality. Thus, the search for this kind of product database is limited to the retrieval of most similar standard commodities. However, many industrial products need to configure optional parts to fulfill the required specifications. Since there are many paths in finding the required specifications, we need to develop a search system via the configuration process. In this system, we adopt a two-phased approach. The first phase finds the most similar template, and the second phase adjusts the template specifications toward the required set of specifications by the Constraint and Rule Satisfaction Problem approach. There is no guarantee that the most similar template can find the most desirable configuration. The search system needs backtracking capability, so the search can stop at a satisfied local optimal satisfaction. This framework is applied to the configuration of computers and peripherals. Template-based reasoning is basically the same as case-based reasoning. The required set of specifications is represented by a list of criteria, and matched with the product specifications to find the closest ones. To measure the distance, we develop a thesaurus of values, which can identify the meaning of numbers, symbols, and words. With this configuration, the performance of the search by configuration algorithm is evaluated in terms of feasibility and admissibility.

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A Heuristic Algorithm for the Two-Dimensional Bin Packing Problem Using a Fitness Function (적합성 함수를 이용한 2차원 저장소 적재 문제의 휴리스틱 알고리즘)

  • Yon, Yong-Ho;Lee, Sun-Young;Lee, Jong-Yun
    • The KIPS Transactions:PartB
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    • v.16B no.5
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    • pp.403-410
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    • 2009
  • The two-dimensional bin packing problem(2D-BPP) has been known to be NP-hard, and it is difficult to solve the problem exactly. Many approximation methods, such as genetic algorithm, simulated annealing and tabu search etc, have been also proposed to gain better solutions. However, the existing approximation algorithms, such as branch-and-bound and tabu search, have shown the low efficiency and the long execution time due to a large of iterations. To solve these problems, we first define the fitness function to simplify and increase the utility of algorithm. The function decides whether an item is packed into a given area, and as an important information for a packing strategy, the number of subarea that can accommodate a given item is obtained from the variant of the fitness function. Then we present a heuristic algorithm BF for 2D bin packing, constructed by the fitness function and subarea. Finally, the effectiveness of the proposed algorithm will be expressed by the comparison experiments with the heuristic and the metaheuristic of the literatures. As comparing with existing heuristic algorithms and metaheuristic algorithms, it has been found that the packing rate of algorithm BP is the same as 97% as existing heuristic algorithms, FFF and FBS, or better than them. Also, it has been shown the same as 86% as tabu search algorithm or better.

Statistical Decision making of Association Threshold in Association Rule Data Mining

  • Park, Hee-Chang;Song, Geum-Min
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.2
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    • pp.115-128
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    • 2002
  • One of the well-studied problems in data mining is the search for association rules. In this paper we consider the statistical decision making of association threshold in association rule. A chi-squared statistic is used to find minimum association threshold. We calculate the range of the value that two item sets are occurred simultaneously, and find the minimum confidence threshold values.

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An Optimization Procedure for a Multi-Item Multi-Source Materials Acquisition Problen

  • Kim, Jae-Yearn
    • Journal of Korean Institute of Industrial Engineers
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    • v.10 no.1
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    • pp.3-10
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    • 1984
  • A materials acquisition planning (MAP) problem that involves the determination of how much to order of a number of different items from a number of different suppliers is considered. This particular problem is modelled as a nonlinear mixed integer programming problem. A solution procedure based upon the partition of variables is developed to handle the MAP problem. This solution procedure utilizes a modified Hooke-Jeeves Pattern Search procedure along with a linear programming simplex algorithm. An example problem is presented and the results of applying the suggested solution procedure to this problem are reported.

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Statistical Decision making of Association Threshold in Association Rule Data Mining

  • Park, Hee-Chang;Song, Geum-Min
    • 한국데이터정보과학회:학술대회논문집
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    • 2002.06a
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    • pp.169-182
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    • 2002
  • One of the well-studied problems in data mining is the search for association rules. In this paper we consider the statistical decision making of association threshold in association rule. A chi-squared statistic is used to find minimum association threshold. We can calculate the range of the value that two item sets are occurred simultaneously, and can find the minimum confidence threshold values.

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