IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v156y2019icp294-309.html
   My bibliography  Save this article

A novel method to solve supplier selection problem: Hybrid algorithm of genetic algorithm and ant colony optimization

Author

Listed:
  • Luan, Jing
  • Yao, Zhong
  • Zhao, Futao
  • Song, Xin

Abstract

Nowadays, with the development of information technology and economic globalization, supplier selection problem gets more and more attraction. The recent literature shows huge interest in hybrid artificial intelligence (AI)-based models for solving supplier selection problem. In this paper, to solve a multi-criteria supplier selection problem, based on genetic algorithm (GA) and ant colony optimization (ACO), hybrid algorithm of GA and ACO is developed. It combines merits of GA with great global converging rate and ACO with parallelism and effective feedback. A numerical experiment was conducted to optimize parameters and to analyze and compare the performance of the original and hybrid algorithms. Results demonstrate the quality and efficiency improvement of new integrated algorithm, verifying its feasibility and effectiveness. It is an innovative pilot research to leverage hybrid AI-based algorithm of GA and ACO to settle the supplier selection problem, which not only makes a clear methodological contribution for optimization algorithm research, but also can be served as a decision tool and provide management reference for companies.

Suggested Citation

  • Luan, Jing & Yao, Zhong & Zhao, Futao & Song, Xin, 2019. "A novel method to solve supplier selection problem: Hybrid algorithm of genetic algorithm and ant colony optimization," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 156(C), pages 294-309.
    • Handle: RePEc:eee:matcom:v:156:y:2019:i:c:p:294-309
    DOI: 10.1016/j.matcom.2018.08.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037847541830209X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2018.08.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2016. "Combining SCOR® model and fuzzy TOPSIS for supplier evaluation and management," International Journal of Production Economics, Elsevier, vol. 174(C), pages 128-141.
    2. Hashemi, Seyed Hamid & Karimi, Amir & Tavana, Madjid, 2015. "An integrated green supplier selection approach with analytic network process and improved Grey relational analysis," International Journal of Production Economics, Elsevier, vol. 159(C), pages 178-191.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peng-Sheng You & Ming-Hsiang Chen & Ching-Hui (Joan) Su, 2021. "Travel agent’s tour selection and sightseeing bus schedule for group package tour planning," Tourism Economics, , vol. 27(1), pages 220-242, February.
    2. Zhang, Hong & Nguyen, Hoang & Bui, Xuan-Nam & Pradhan, Biswajeet & Mai, Ngoc-Luan & Vu, Diep-Anh, 2021. "Proposing two novel hybrid intelligence models for forecasting copper price based on extreme learning machine and meta-heuristic algorithms," Resources Policy, Elsevier, vol. 73(C).
    3. Marwa F. Mohamed & Mohamed Meselhy Eltoukhy & Khalil Al Ruqeishi & Ahmad Salah, 2023. "An Adapted Multi-Objective Genetic Algorithm for Healthcare Supplier Selection Decision," Mathematics, MDPI, vol. 11(6), pages 1-14, March.
    4. Dinesh Karunanidy & Subramanian Ramalingam & Ankur Dumka & Rajesh Singh & Mamoon Rashid & Anita Gehlot & Sultan S. Alshamrani & Ahmed Saeed AlGhamdi, 2022. "JMA: Nature-Inspired Java Macaque Algorithm for Optimization Problem," Mathematics, MDPI, vol. 10(5), pages 1-28, February.
    5. Ren-Jie Mao & Jian-Xin You & Chun-Yan Duan & Lu-Ning Shao, 2019. "A Heterogeneous MCDM Framework for Sustainable Supplier Evaluation and Selection Based on the IVIF-TODIM Method," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    6. Abrar Yaqoob & Rabia Musheer Aziz & Navneet Kumar Verma & Praveen Lalwani & Akshara Makrariya & Pavan Kumar, 2023. "A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification," Mathematics, MDPI, vol. 11(5), pages 1-32, February.
    7. Sedighizadeh, Davoud & Masehian, Ellips & Sedighizadeh, Mostafa & Akbaripour, Hossein, 2021. "GEPSO: A new generalized particle swarm optimization algorithm," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 179(C), pages 194-212.
    8. Faten Aljalaud & Heba Kurdi & Kamal Youcef-Toumi, 2023. "Bio-Inspired Multi-UAV Path Planning Heuristics: A Review," Mathematics, MDPI, vol. 11(10), pages 1-35, May.
    9. Giuseppe Guido & Sina Shaffiee Haghshenas & Sami Shaffiee Haghshenas & Alessandro Vitale & Vittorio Astarita & Ashkan Shafiee Haghshenas, 2020. "Feasibility of Stochastic Models for Evaluation of Potential Factors for Safety: A Case Study in Southern Italy," Sustainability, MDPI, vol. 12(18), pages 1-24, September.
    10. Pannee Suanpang & Pitchaya Jamjuntr & Kittisak Jermsittiparsert & Phuripoj Kaewyong, 2022. "Tourism Service Scheduling in Smart City Based on Hybrid Genetic Algorithm Simulated Annealing Algorithm," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
    11. Xiaxia Ma & Wenliang Bian & Wenchao Wei & Fei Wei, 2022. "Customer-Centric, Two-Product Split Delivery Vehicle Routing Problem under Consideration of Weighted Customer Waiting Time in Power Industry," Energies, MDPI, vol. 15(10), pages 1-23, May.
    12. Jadoon, Ihtesham & Raja, Muhammad Asif Zahoor & Junaid, Muhammad & Ahmed, Ashfaq & Rehman, Ata ur & Shoaib, Muhammad, 2021. "Design of evolutionary optimized finite difference based numerical computing for dust density model of nonlinear Van-der Pol Mathieu’s oscillatory systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 444-470.
    13. Rukiye Kaya & Said Salhi & Virginia Spiegler, 2023. "A novel integration of MCDM methods and Bayesian networks: the case of incomplete expert knowledge," Annals of Operations Research, Springer, vol. 320(1), pages 205-234, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amirmahdi Malek & Sadoullah Ebrahimnejad & Reza Tavakkoli-Moghaddam, 2017. "An Improved Hybrid Grey Relational Analysis Approach for Green Resilient Supply Chain Network Assessment," Sustainability, MDPI, vol. 9(8), pages 1-28, August.
    2. Andreas Schiessl & Richard Müller & Rebekka Volk & Konrad Zimmer & Patrick Breun & Frank Schultmann, 2020. "Integrating site-specific environmental impact assessment in supplier selection: exemplary application to steel procurement," Journal of Business Economics, Springer, vol. 90(9), pages 1409-1457, November.
    3. S. Maryam Masoumi & Nima Kazemi & Salwa Hanim Abdul-Rashid, 2019. "Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    4. Torky Althaqafi, 2023. "Environmental and Social Factors in Supplier Assessment: Fuzzy-Based Green Supplier Selection," Sustainability, MDPI, vol. 15(21), pages 1-17, November.
    5. Muhamet Aliu & Arbana Sahiti & Arben Sahiti, 2016. "Business Environment and Accounting System in Kosovo: Comparison of Different Periods," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 2, ejes_v2_i.
    6. Muhammad Ishfaq Khan & Shahbaz Khalid & Umer Zaman & Ana Ercília José & Paulo Ferreira, 2021. "Green Paradox in Emerging Tourism Supply Chains: Achieving Green Consumption Behavior through Strategic Green Marketing Orientation, Brand Social Responsibility, and Green Image," IJERPH, MDPI, vol. 18(18), pages 1-24, September.
    7. Thalles Vitelli Garcez & Helder Tenório Cavalcanti & Adiel Teixeira de Almeida, 2021. "A hybrid decision support model using Grey Relational Analysis and the Additive-Veto Model for solving multicriteria decision-making problems: an approach to supplier selection," Annals of Operations Research, Springer, vol. 304(1), pages 199-231, September.
    8. Tuni, Andrea & Rentizelas, Athanasios, 2019. "An innovative eco-intensity based method for assessing extended supply chain environmental sustainability," International Journal of Production Economics, Elsevier, vol. 217(C), pages 126-142.
    9. Dilip Kumar Sen & Saurav Datta & Siba Sankar Mahapatra, 2016. "A TODIM-Based Decision Support Framework for G-Resilient Supplier Selection in Fuzzy Environment," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(05), pages 1-40, October.
    10. Lei Ji & Chunlin Yuan & Taiwen Feng & Chen Wang, 2020. "Achieving the environmental profits of green supplier integration: The roles of supply chain resilience and knowledge combination," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 978-989, July.
    11. Seyed Morteza Hatefi & Jolanta Tamošaitienė, 2018. "Construction Projects Assessment Based on the Sustainable Development Criteria by an Integrated Fuzzy AHP and Improved GRA Model," Sustainability, MDPI, vol. 10(4), pages 1-14, March.
    12. Mahdiloo, Mahdi & Saen, Reza Farzipoor & Lee, Ki-Hoon, 2015. "Technical, environmental and eco-efficiency measurement for supplier selection: An extension and application of data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 168(C), pages 279-289.
    13. Zheng-Xin Wang & Dan-Dan Li & Hong-Hao Zheng, 2018. "The External Performance Appraisal of China Energy Regulation: An Empirical Study Using a TOPSIS Method Based on Entropy Weight and Mahalanobis Distance," IJERPH, MDPI, vol. 15(2), pages 1-18, January.
    14. Akyildiz, Burcu & Kadaifci, Cigdem & Topcu, Ilker, 2015. "A decision framework proposal for customer order prioritization: A case study for a structural steel company," International Journal of Production Economics, Elsevier, vol. 169(C), pages 21-30.
    15. Artur Amsharuk & Grażyna Łaska, 2024. "Site Selection of Wind Farms in Poland: Combining Theory with Reality," Energies, MDPI, vol. 17(11), pages 1-22, May.
    16. Chia-Nan Wang & Van Thanh Nguyen & Jiin-Tian Chyou & Tsung-Fu Lin & Tran Ngoc Nguyen, 2019. "Fuzzy Multicriteria Decision-Making Model (MCDM) for Raw Materials Supplier Selection in Plastics Industry," Mathematics, MDPI, vol. 7(10), pages 1-17, October.
    17. Tri Wahyuningsih, 2022. "The application of factor analysis (FA) in evaluating supplier selection criteria in PT. Wijaya Karya Beton Tbk and ranking suppliers using integration of analytical hierarchy process (AHP) and adapti," Technium, Technium Science, vol. 4(6), pages 11-17.
    18. Nedeljković, Miroslav, 2022. "Criteria for Sustainable Supplier Selection in Agro-industrial Complex," Western Balkan Journal of Agricultural Economics and Rural Development (WBJAERD), Institute of Agricultural Economics, vol. 4(1), June.
    19. Almalky,, 2020. "An Integrated Multi‐Criteria Decision Support Framework for the Selection of Suppliers in Small and Medium Enterprises based on Green Innovation Ability," OSF Preprints 3cg8j, Center for Open Science.
    20. Ananna Paul & Nagesh Shukla & Sanjoy Kumar Paul & Andrea Trianni, 2021. "Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review," Sustainability, MDPI, vol. 13(13), pages 1-28, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:156:y:2019:i:c:p:294-309. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.