IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v7y2019i10p929-d274180.html
   My bibliography  Save this article

Development of a Quantitative Model for the Analysis of the Functioning of Integrated Textile Supply Chains

Author

Listed:
  • Hua Wang

    (College of Textiles, Donghua University, 2999 North Renmin Road, Shanghai 2011620, China)

  • Hafeezullah Memon

    (Donghua University Center for Civil Aviation Composites, Donghua University, 2999 North Renmin Road, Shanghai 201620, China
    Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, 2999 North Renmin Road, Shanghai 201620, China)

  • Syed Hamad Hassan Shah

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 201620, China)

  • Madjidov Shakhrukh

    (Changshu Institute of Technology, 99 South Third Ring Road, Suzhou, Jiangsu 215500, China)

Abstract

The article is devoted to the development of a mathematical model for the analysis of functioning interferonogenic supply chain of textile products. A mathematical model and method of analysis of the functioning of an integrated supply chain of textile products are proposed. A mathematical model contributing to cost reduction in the supply chain of textile products is recommended. The results show that the mathematical model of optimization of placement textile enterprises promotes the decrease of the expenses in the supply chain. The designated model will not only be helpful for managers and enterprises related to textiles, but also for other fields dealing with logistics and supply chains in planning and organization of transport processes.

Suggested Citation

  • Hua Wang & Hafeezullah Memon & Syed Hamad Hassan Shah & Madjidov Shakhrukh, 2019. "Development of a Quantitative Model for the Analysis of the Functioning of Integrated Textile Supply Chains," Mathematics, MDPI, vol. 7(10), pages 1-14, October.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:10:p:929-:d:274180
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/7/10/929/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/7/10/929/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shakhrukh Madjidov & Bekhzod Khakimov, 2012. "Viewpoints About Potential Stimulation And Possibilities Of Investments On Textile Industry Uzbekistan," European Journal of Business and Economics, Central Bohemia University, vol. 6(0), pages 22-241:6, September.
    2. Dulebenets, Maxim A., 2018. "A comprehensive multi-objective optimization model for the vessel scheduling problem in liner shipping," International Journal of Production Economics, Elsevier, vol. 196(C), pages 293-318.
    3. Dulebenets, Maxim A., 2019. "A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility," International Journal of Production Economics, Elsevier, vol. 212(C), pages 236-258.
    4. Hafeezullah Memon & Sohail Yasin & Nazakat Ali Khoso & Samiulah Memon, 2016. "Study Of Wrinkle Resistant, Breathable, Anti-Uv Nanocoated Woven Polyester Fabric," Surface Review and Letters (SRL), World Scientific Publishing Co. Pte. Ltd., vol. 23(03), pages 1-8, June.
    5. Peng, Lihong & Zhang, Yiting & Wang, Yejun & Zeng, Xiaoling & Peng, Najun & Yu, Ang, 2015. "Energy efficiency and influencing factor analysis in the overall Chinese textile industry," Energy, Elsevier, vol. 93(P1), pages 1222-1229.
    6. Zhen, Lu & Liang, Zhe & Zhuge, Dan & Lee, Loo Hay & Chew, Ek Peng, 2017. "Daily berth planning in a tidal port with channel flow control," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 193-217.
    7. Nitish Umang & Michel Bierlaire & Alan L. Erera, 2017. "Real-time management of berth allocation with stochastic arrival and handling times," Journal of Scheduling, Springer, vol. 20(1), pages 67-83, February.
    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. Lihong Chen & Habiba Halepoto & Chunhong Liu & Xinfeng Yan & Lijun Qiu, 2022. "Research on Influencing Mechanism of Fashion Brand Image Value Creation Based on Consumer Value Co-Creation and Experiential Value Perception Theory," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    2. Husam Wahdan & Zeng Rui Tian, 2022. "Assessing the Efficiency of Venture Capital Functioning in the Transforming Economy in UAE and China by a Mathematical Model," SAGE Open, , vol. 12(1), pages 21582440211, January.
    3. Xinfeng Yan & Shakhrukh Madjidov & Habiba Halepoto & Muhammad Ikram, 2021. "Developing a Framework for the Optimization Processes of Logistics Costs: A Hurwitz Criterion Approach," SAGE Open, , vol. 11(4), pages 21582440211, October.

    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. Oluwatosin Theophilus & Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Masoud Kavoosi, 2019. "Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The-Art Review," Sustainability, MDPI, vol. 11(19), pages 1-23, September.
    2. Liu, Baoli & Li, Zhi-Chun & Sheng, Dian & Wang, Yadong, 2021. "Integrated planning of berth allocation and vessel sequencing in a seaport with one-way navigation channel," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 23-47.
    3. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    4. Tamvada, Srinivas Subramanya & Mansouri, Bahareh & Hassini, Elkafi & Pribytkov, Theodore, 2021. "An integer programming model and directed Steiner-forest based heuristic for routing less-than-truckload freight," International Journal of Production Economics, Elsevier, vol. 232(C).
    5. Iris, Çağatay & Lam, Jasmine Siu Lee, 2019. "Recoverable robustness in weekly berth and quay crane planning," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 365-389.
    6. Correcher, Juan Francisco & Van den Bossche, Thomas & Alvarez-Valdes, Ramon & Vanden Berghe, Greet, 2019. "The berth allocation problem in terminals with irregular layouts," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1096-1108.
    7. Liu, Baoli & Li, Zhi-Chun & Wang, Yadong, 2022. "A two-stage stochastic programming model for seaport berth and channel planning with uncertainties in ship arrival and handling times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    8. Xu Zhao & Qianjun Lin & Hao Yu, 2019. "An Improved Mathematical Model for Green Lock Scheduling Problem of the Three Gorges Dam," Sustainability, MDPI, vol. 11(9), pages 1-23, May.
    9. Jaap-Jan Steeg & Menno Oudshoorn & Neil Yorke-Smith, 2023. "Berth planning and real-time disruption recovery: a simulation study for a tidal port," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 70-110, March.
    10. Guo, Liming & Zheng, Jianfeng & Du, Haoming & Du, Jian & Zhu, Zhihong, 2022. "The berth assignment and allocation problem considering cooperative liner carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    11. Hsien-Pin Hsu & Tai-Lin Chiang & Chia-Nan Wang & Hsin-Pin Fu & Chien-Chang Chou, 2019. "A Hybrid GA with Variable Quay Crane Assignment for Solving Berth Allocation Problem and Quay Crane Assignment Problem Simultaneously," Sustainability, MDPI, vol. 11(7), pages 1-21, April.
    12. Clara Inés Pardo Martínez, 2009. "Energy efficiency developments in the manufacturing industries of Germany and Colombia, 1998-2005," Serie de Documentos en Economía y Violencia 6144, Centro de Investigaciones en Violencia, Instituciones y Desarrollo Económico (VIDE).
    13. Mohammad Amin Amani & Mohammad Mahdi Nasiri, 2023. "A novel cross docking system for distributing the perishable products considering preemption: a machine learning approach," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-32, July.
    14. Zhen, Lu & Zhuge, Dan & Wang, Shuaian & Wang, Kai, 2022. "Integrated berth and yard space allocation under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 1-27.
    15. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    16. Jinpeng Liu & Li Wang & Mohan Qiu & Jiang Zhu, 2016. "Promotion Potentiality and Optimal Strategies Analysis of Provincial Energy Efficiency in China," Sustainability, MDPI, vol. 8(8), pages 1-17, August.
    17. Daniela Paddeu & Paulus Aditjandra, 2020. "Shaping Urban Freight Systems via a Participatory Approach to Inform Policy-Making," Sustainability, MDPI, vol. 12(1), pages 1-15, January.
    18. Bingtao Quan & Sujian Li & Kuo-Jui Wu, 2022. "Optimizing the Vehicle Scheduling Problem for Just-in-Time Delivery Considering Carbon Emissions and Atmospheric Particulate Matter," Sustainability, MDPI, vol. 14(10), pages 1-19, May.
    19. Wawrzyniak, Jakub & Drozdowski, Maciej & Sanlaville, Éric, 2020. "Selecting algorithms for large berth allocation problems," European Journal of Operational Research, Elsevier, vol. 283(3), pages 844-862.
    20. Michalis P. Michaelides & Herodotos Herodotou & Mikael Lind & Richard T. Watson, 2019. "Port-2-Port Communication Enhancing Short Sea Shipping Performance: The Case Study of Cyprus and the Eastern Mediterranean," Sustainability, MDPI, vol. 11(7), pages 1-22, March.

    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:gam:jmathe:v:7:y:2019:i:10:p:929-:d:274180. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.