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Minimizing delay of ships in bulk terminals by simultaneous ship scheduling, stockyard planning and train scheduling

Author

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  • Soudagar A K Irfan Babu

    (Department of Industrial Engineering and Management, Indian Institute of Technology Kharagpur, Kharagpur 721 302, West Bengal, India. E-mails: mkt09@hotmail.com; irfansoudagar37@gmail.com; s.pratapiitkgp@gmail.com; geetlahoti2454@gmail.com)

  • Saurabh Pratap

    (Department of Industrial Engineering and Management, Indian Institute of Technology Kharagpur, Kharagpur 721 302, West Bengal, India. E-mails: mkt09@hotmail.com; irfansoudagar37@gmail.com; s.pratapiitkgp@gmail.com; geetlahoti2454@gmail.com)

  • Geet Lahoti

    (Department of Industrial Engineering and Management, Indian Institute of Technology Kharagpur, Kharagpur 721 302, West Bengal, India. E-mails: mkt09@hotmail.com; irfansoudagar37@gmail.com; s.pratapiitkgp@gmail.com; geetlahoti2454@gmail.com)

  • Kiran J Fernandes

    (Durham University Business School, Durham University, Durham DH1 3LB, UK.)

  • Manoj K Tiwari

    (Department of Industrial Engineering and Management, Indian Institute of Technology Kharagpur, Kharagpur 721 302, West Bengal, India. E-mails: mkt09@hotmail.com; irfansoudagar37@gmail.com; s.pratapiitkgp@gmail.com; geetlahoti2454@gmail.com)

  • Matthew Mount

    (Kent Business School, University of Kent, Canterbury CT1 7PE, UK.)

  • Yu Xiong

    (Norwich Business School, University of East Anglia, Norwich NR4 7TJ, UK.)

Abstract

Because of an increase in population, the demand for coal has drastically risen with millions of tons of coal being imported annually through Indian ports. To accommodate with this rise in demand, there has been an increase in the concern over proper ship scheduling and effective stockyard management. This article focuses on these aspects, as well as train scheduling, in the context of coal imports in port terminals. The article employs two heuristic-based greedy construct algorithms to improve port terminal throughput capacity by minimizing the delay of ships in port terminal. Applicability and validity of the model is tested on the database of a port located along the east coast of India.

Suggested Citation

  • Soudagar A K Irfan Babu & Saurabh Pratap & Geet Lahoti & Kiran J Fernandes & Manoj K Tiwari & Matthew Mount & Yu Xiong, 2015. "Minimizing delay of ships in bulk terminals by simultaneous ship scheduling, stockyard planning and train scheduling," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 17(4), pages 464-492, December.
    • Handle: RePEc:pal:marecl:v:17:y:2015:i:4:p:464-492
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    Cited by:

    1. Cao, Zhen & Wang, Wenyuan & Jiang, Ying & Xu, Xinglu & Xu, Yunzhuo & Guo, Zijian, 2022. "Joint berth allocation and ship loader scheduling under the rotary loading mode in coal export terminals," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 229-260.
    2. Dafnomilis, I. & Duinkerken, M.B. & Junginger, M. & Lodewijks, G. & Schott, D.L., 2018. "Optimal equipment deployment for biomass terminal operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 147-163.
    3. Arijit De & Saurabh Pratap & Akhilesh Kumar & M. K. Tiwari, 2020. "A hybrid dynamic berth allocation planning problem with fuel costs considerations for container terminal port using chemical reaction optimization approach," Annals of Operations Research, Springer, vol. 290(1), pages 783-811, July.
    4. Sun, Defeng & Meng, Ying & Tang, Lixin & Liu, Jinyin & Huang, Baobin & Yang, Jiefu, 2020. "Storage space allocation problem at inland bulk material stockyard," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    5. Bouzekri, Hamza & Bara, Najat & Alpan, Gülgün & Giard, Vincent, 2022. "An integrated Decision Support System for planning production, storage and bulk port operations in a fertilizer supply chain," International Journal of Production Economics, Elsevier, vol. 252(C).

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