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Models for a coal blending and distribution problem

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Listed:
  • Sherali, HD
  • Puri, R

Abstract

This research is concerned with the study of typical coal flow operations in the coal industry, with a concentration on the blending and distribution problems. The problem here is to determine decisions and schedules for coal shipment to silos, cleaning and blending operations at the silos, and the subsequent shipment of coal to customers over a multi-period time horizon, so as to satisfy the demand at a minimum total operational cost. Three linear programming models of varying complexity and capability are developed to meet this objective. Based on a comparison of their structural properties and their accuracy versus computational requirements, recommendations are made for implementation. The final product envisioned is a computer-based decision tool which will serve as a mechanism for implementing cost-effective decisions in light of complex variations in production, ore quality and demand requirements over time. The models can be used to plan future growth and capital investment decisions, as well as to study the effect of various policies, by testing the sensitivity, feasibility and the cost of system operations under different perturbations of system configuration, data and demand specifications. Real operational data from the Westmoreland Coal Company is used for testing purposes.

Suggested Citation

  • Sherali, HD & Puri, R, 1993. "Models for a coal blending and distribution problem," Omega, Elsevier, vol. 21(2), pages 235-243, March.
    • Handle: RePEc:eee:jomega:v:21:y:1993:i:2:p:235-243
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    Citations

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    Cited by:

    1. Lai, Jeng-Wen & Chen, Chia-Yon, 1996. "A cost minimization model for coal import strategy," Energy Policy, Elsevier, vol. 24(12), pages 1111-1117, December.
    2. Anna Danandeh & Bo Zeng & Brent Caldwell & Brian Buckley, 2016. "A Decision Support System for Fuel Supply Chain Design at Tampa Electric Company," Interfaces, INFORMS, vol. 46(6), pages 503-521, December.
    3. Zhang, Ruijun & Lu, Jie & Zhang, Guangquan, 2011. "A knowledge-based multi-role decision support system for ore blending cost optimization of blast furnaces," European Journal of Operational Research, Elsevier, vol. 215(1), pages 194-203, November.
    4. Tetiana Bilan & Mykola Kaplin & Vitaliy Makarov & Mykola Perov & Ihor Novitskii & Artur Zaporozhets & Valerii Havrysh & Vitalii Nitsenko, 2022. "The Balance and Optimization Model of Coal Supply in the Flow Representation of Domestic Production and Imports: The Ukrainian Case Study," Energies, MDPI, vol. 15(21), pages 1-19, October.
    5. Qifeng Cheng & Shiwei Ning & Xiaohua Xia & Fan Yang, 2016. "Modelling of coal trade process for the logistics enterprise and its optimisation with stochastic predictive control," International Journal of Production Research, Taylor & Francis Journals, vol. 54(8), pages 2241-2259, April.
    6. Liu, Chiun-Ming & Sherali, Hanif D., 2000. "A coal shipping and blending problem for an electric utility company," Omega, Elsevier, vol. 28(4), pages 433-444, August.
    7. Akgün, İbrahim & Özkil, Altan & Gören, Selçuk, 2020. "A multimodal, multicommodity, and multiperiod planning problem for coal distribution to poor families," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).

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