• Title/Summary/Keyword: Selection Process

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Improvement Target SW Process Selection for Small and Medium Size Software Organizations (중소 소프트웨어 기업의 개선 대상 SW 프로세스 선정)

  • Lee, Yang-Kyu;Kim, Jong-Woo;Kwon, Won-Il;Jung, Chang-Sin;Bae, Se-Jin
    • The KIPS Transactions:PartD
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    • v.9D no.5
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    • pp.887-896
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    • 2002
  • Based on SPICE (Software Process Improvement and Capability dEtermination) evaluation model, SPIRE (Software Process Improvement in Regions of Europe) is developed and published as a process improvement model for small and medium size organizations. However, practical selection guidelines or mapping rules between business goals and software processes do not exist within SPIRE. This research aims to construct an objective reference mapping table between business goals and software processes, and to propose a process selection method using the mapping table. The mapping table is constructed by the convergence of domestic software process experts' opinions using Delphi techniques. In the suggested process selection method, target processes are selected using the intuition of project participants or project managers as well as the reference mapping table. The feasibility of the proposed selection method has been reviewed by applying to two small software companies. Using the reference mapping table, we could select key processes which were passed over by project managers.

A study on the selection methodology of materials by design process in manufacturing process (제조공정에서 디자인 프로세스에 의한 소재선정 방법론 연구)

  • Song, Sung-il;Kang, Seung-min
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.29 no.1
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    • pp.39-44
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    • 2019
  • This study renewed the 'RE_Double Diamond' design process on the importance that material selection should reflect the needs of the consumer as much as possible in product development. In addition, the provider-centered secondary stakeholder map process among existing double-diamond methodologies has been applied, and the selection of materials through communication between designers and engineers, including the construction of information focused on visualization.

Investigation of SCI Journal Selection Process for the Journals of Korean Traditional Medicine (한국한의학 관련학회지의 SCI등재를 위한 준비과정에 관한 고찰)

  • Kim, Hyun-Do;Kang, Tae-Sik;Kwon, Ki-Rok
    • Journal of Pharmacopuncture
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    • v.6 no.3
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    • pp.87-90
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    • 2003
  • The purpose of this study is to investigate and analyze the selection process of the Science Citation Index(SCI). SCI has been the benchmarking medium of scientific journals for over 40 years by reviewing thousands of journals published each year. The discipline of Traditional Oriental Medicine has been gaining global interest in recent years, yet the number of related journals indexed by SCI has been minimal. Korean Medicine has been producing number of quality journals for decades, but lack of journals in the English language and other problems has hindered consideration for registering with SCI. This paper will focus on the journal selection process at ISI and recommend the criteria needed for a journal to be considered for SCI selection.

Effective Multi-label Feature Selection based on Large Offspring Set created by Enhanced Evolutionary Search Process

  • Lim, Hyunki;Seo, Wangduk;Lee, Jaesung
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.9
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    • pp.7-13
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    • 2018
  • Recent advancement in data gathering technique improves the capability of information collecting, thus allowing the learning process between gathered data patterns and application sub-tasks. A pattern can be associated with multiple labels, demanding multi-label learning capability, resulting in significant attention to multi-label feature selection since it can improve multi-label learning accuracy. However, existing evolutionary multi-label feature selection methods suffer from ineffective search process. In this study, we propose a evolutionary search process for the task of multi-label feature selection problem. The proposed method creates large set of offspring or new feature subsets and then retains the most promising feature subset. Experimental results demonstrate that the proposed method can identify feature subsets giving good multi-label classification accuracy much faster than conventional methods.

Institutional Solution to Complex Conflicts in the Site Selection Process of Offshore Wind Power - from a Multi-level Governance Perspective (해상풍력 입지 선정 과정에서 복합적 갈등의 제도적 해결방안 - 다층적 거버넌스 관점에서)

  • Seunghyeok Ahn;Yoonmie Soh;Hojae Ryu;Minho Han;Sun-Jin Yun
    • New & Renewable Energy
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    • v.19 no.2
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    • pp.40-58
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    • 2023
  • Several offshore wind power conflicts occur due to the problems in which the site selection process led by private operators is improperly managed. To review the institutional improvement measures that solve this problem, domestic and foreign institutions and operational cases were comparatively analyzed, focusing on key actors from the multi-level governance perspective. First, the status of the site selection process in the Republic of Korea, major issues in stakeholder conflicts, and discussions on the planned site system-related laws (draft) were reviewed. Next, the site selection process and relevant cases in Germany, the Netherlands, and Japan were analyzed. In all these countries, site selection is done by the central government. In Germany and the Netherlands, maritime-related ministries establish overall offshore wind power site plans and conduct strategic environmental assessments for these plans. Futhermore, in the process of determining each individual site, extensive site investigation including environmental assessments are conducted. This aspect needs to be supplemented in the discussion on the direction of institutional improvement in the Republic of Korea.

A Decision-making Model for SCM System Selection (SCM 시스템 선정을 위한 의사 결정 모델)

  • Seo Kwang-Kyu
    • Journal of the Korea Safety Management & Science
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    • v.7 no.4
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    • pp.165-177
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    • 2005
  • Supply Chain Management(SCM) system is a critical investment that can affect future competitiveness and performance of a company. Selection of a right SCM system is one of the critical issues. This paper provides the characteristic factors of SCM system selection and the SCM system evaluation and selection model based on Analytic Hierarchy Process(AHP). The proposed model can systematically construct the objectives of SCM system selection to support the business goals. A empirical example demonstrates the feasibility of the proposed model and the model can help a company to make better decision-making in selecting SCM system.

Site Selection Process for Spent Fuel in Finland

  • Auvinen, Anssi;Lehtonen, Aleksis;Riekkola, Reijo
    • Proceedings of the Korean Radioactive Waste Society Conference
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    • 2009.06a
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    • pp.179-181
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    • 2009
  • This presentation is a short summary of the Finnish process for selection and characterisation of potential sites for geological deep disposal of spent nuclear fuel. The process lasted nearly two decades from 1983 to 2000, and was concluded by the Government's Decision in Principle (DiP) on the construction of a repository in Olkiluoto. This presentation gives an outline of the early site selection criteria and a description of this process.

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A Decision Support System for Supplier Selection in B2B E-procurement (전자조달을 위한 공급자 선택 지원 시스템의 개발)

  • 하성호;남미성
    • Korean Management Science Review
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    • v.21 no.1
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    • pp.113-129
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    • 2004
  • Nowadays many enterprises build e-procurement systems. An e-procurement is a Web-based procurement process and its functionalities are considered important in the B2B e-commerce. Buyers should select competent suppliers for a successful e-procurement. Therefore, this study proposes a method using the analytic hierarchy process(AHP) for building a Web-based supplier selection system. In detail, the purpose of this study is (1) to review methods previously used when buyers selecting suppliers and to extract important selection criteria: (2) to explain extended AHP method adopted by this study among supplier selection methods: (3) to describe the supplier selection steps using extended AHP : and (4) to propose a decision support system embedding the methodology described above. The proposed system comprises of three phase: first phase is to evaluate suppliers on enterprise level: second phase to evaluate them on each transaction level: third phase to post-evaluate them.

Study on aWeb-based Business Process Evaluation Model for BPM using BSC and Fuzzy AHP (BSC와 Fuzzy AHP를 활용한 웹 기반의 BPM 대상 프로세스 선정에 관한 연구)

  • Lee, Seung-Sin;Cho, Chi-Woon
    • IE interfaces
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    • v.22 no.1
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    • pp.26-37
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    • 2009
  • BPM(Business Process Management) secures the agility of an enterprise through automation, integration, and optimization of business process. For the successful BPM introduction, the evaluation and selection of suitable processes for BPM are very important. But as to process evaluation and selection standards, in fact, various selection elements exist and they have to be considered. Therefore, it is very difficult to evaluate systematically and reasonably business processes for enterprises or concerned persons that plan to introduce BPM. This paper describes a Web-based business process evaluation model for BPM using BSC(Balanced Scorecard) and fuzzy AHP(Analytic Hierarchy Process). A Web-based business process evaluation system was implemented based on this and it provides many useful business process evaluation results to enterprises or concerned persons that have insufficient experience and knowledge about BPM, and initially plan to implement BPMS(Business Process Management System). Thus, this paper demonstrates the applicability of fuzzy AHP concept in business process evaluation and selection for BPM, and provides a systemic guidance in the decision-making process.

Modeling of Positive Selection for the Development of a Computer Immune System and a Self-Recognition Algorithm

  • Sim, Kwee-Bo;Lee, Dong-Wook
    • International Journal of Control, Automation, and Systems
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    • v.1 no.4
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    • pp.453-458
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    • 2003
  • The anomaly-detection algorithm based on negative selection of T cells is representative model among self-recognition methods and it has been applied to computer immune systems in recent years. In immune systems, T cells are produced through both positive and negative selection. Positive selection is the process used to determine a MHC receptor that recognizes self-molecules. Negative selection is the process used to determine an antigen receptor that recognizes antigen, or the nonself cell. In this paper, we propose a novel self-recognition algorithm based on the positive selection of T cells. We indicate the effectiveness of the proposed algorithm by change-detection simulation of some infected data obtained from cell changes and string changes in the self-file. We also compare the self-recognition algorithm based on positive selection with the anomaly-detection algorithm.