A hybrid intelligent approach for supply chain management system

被引:1
|
作者
Cemalettin Kubat
Baris Yuce
机构
[1] Sakarya University,Department of Industrial Engineering, Engineering Faculty
[2] Sakarya University,Department of Industrial Engineering, Engineering Faculty
来源
关键词
Supply chain; Fuzzy analytic hierarchy process; Genetic algorithms;
D O I
暂无
中图分类号
学科分类号
摘要
The process of supplier selection is one of the key processes in the industry since the suppliers play a key role in regards to the competitive advantage. It is therefore important to identify and select good suppliers. Supplier selection can be considered a decision-making problem with many criteria, which include both qualitative and quantitative elements, such as; purchase cost, quality level, supplier risk etc. The best process to be designed for selecting the suppliers may require a compromise in terms of these elements. A general framework, which combines Analytic Hierarchy Process (AHP), Fuzzy AHP and Genetic Algorithm (GA) in order to determine the best set of suppliers, is proposed in this study.
引用
收藏
页码:1237 / 1244
页数:7
相关论文
共 50 条
  • [21] Coordinated Development of Urban Intelligent Transportation Data System and Supply Chain Management
    Chen, Qian
    JOURNAL OF ADVANCED TRANSPORTATION, 2022, 2022
  • [22] Construction and Optimisation of Intelligent Supply Chain Management System in Petroleum and Petrochemical Enterprises
    Cai, Dengjiang
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [23] A System Approach to Risk Management in the Age of Supply Chain Complexity
    Yu, Zhongqiu
    MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 : 1955 - 1959
  • [24] Adaptive control and supply chain management of intelligent agricultural greenhouse by intelligent fuzzy auxiliary cognitive system
    Tian, Yongjie
    EXPERT SYSTEMS, 2024, 41 (05)
  • [25] A novel hybrid MCDM approach for complicated supply chain management problems in construction
    Tamosaitiene, Jolanta
    Zavadskas, Edmundas Kazimieras
    Sileikaite, Inga
    Turskis, Zenonas
    MODERN BUILDING MATERIALS, STRUCTURES AND TECHNIQUES, 2017, 172 : 1137 - 1145
  • [26] An Empirical Procurement Risk Management Framework in Supply Chain Networks: A Hybrid Approach
    Aghajanian, Shara
    INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2018, 17 (04): : 730 - 744
  • [27] A Hybrid MCDM Approach for Selection of Financial Institution in Supply Chain Risk Management
    Chatterjee, Kajal
    Kar, Samarjit
    2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013), 2013,
  • [28] Intelligent Decision Support for Logistics and Supply Chain Management
    Sebastian, Hans-Juergen
    Voss, Stefan
    PROCEEDINGS OF THE 46TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 2013, : 1123 - 1123
  • [29] Futuristic Technologies for Intelligent Manufacturing and Supply Chain Management
    Singh, Pradeep Kumar
    Raut, Rakesh
    Hong, Wei Chiang
    Govindarajan, Usharani Hareesh
    IET COLLABORATIVE INTELLIGENT MANUFACTURING, 2021, 3 (03) : 203 - 204
  • [30] Intelligent Smart Contracts for Innovative Supply Chain Management
    Bottoni, Paolo
    Gessa, Nicola
    Massa, Gilda
    Pareschi, Remo
    Selim, Hesham
    Arcuri, Enrico
    FRONTIERS IN BLOCKCHAIN, 2020, 3