Simulation of Cement Manufacturing Process and Demand Forecasting of Cement Industry

Md. Shafiul Alam; Md. Irfan Uzzaman; Mohammad Shakilur Rahman; Sadman Alam

Simulation of Cement Manufacturing Process and Demand Forecasting of Cement Industry

Md. Shafiul Alam * §

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Md. Irfan Uzzaman §

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Mohammad Shakilur Rahman §

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Sadman Alam §

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§ Ahsanullah University of Science & Technology

Simulation of Cement Manufacturing Process and Demand Forecasting of Cement Industry

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Abstract

Demand forecasts form the basis of all supply chain planning. This research is focused on the simulation of cement manufacturing process to find out the production loss of machines that will affect the production quantity, and analyzing different methods of forecasting to compare their errors so that appropriate forecasting method is identified to predict correct demand. Depending on the forecasting, the simulation process applied can aid to estimate amount of raw materials require producing particular amount of cement to fulfil the demand including the losses in various steps of manufacturing process. Moreover, seasonality of demand is considered where the same demand will repeat at a particular period. The longer horizon forecasts, using Holt-Winters method, are usually less precise than the shorter horizon forecast; that is, long horizon forecasts have larger standard deviations. This investigation on overall demand could facilitate the comparison between the futures forecasted demand and the overall customer demand.

References

12 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Shafiul Alam, Md. Irfan Uzzaman, Mohammad Shakilur Rahman, Sadman Alam. 2016. "Simulation of Cement Manufacturing Process and Demand Forecasting of Cement Industry". Global Journal of Research in Engineering GJRE-G Volume 16 (GJRE Volume 16 Issue G2).

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GJRE Volume 16 Issue G2

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-G Classification FOR Code: 680302

Submission ReceivedDecember 9, 2015
Peer Review Double Blind
Handling Editor
Accepted January 2, 2016
Published October 8, 2016

Version of record

v1.2

Issue date

October 8, 2016

Language

English

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Article Matrices

Total Score: 104

Country: Bangladesh

Subject: Global Journal of Research in Engineering

Authors: Md. Irfan Uzzaman, Mohammad Shakilur Rahman, Md. Shafiul Alam, Sadman Alam (PhD/Dr. count: 0)

View Count (all-time): 391

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Total Downloads (simulated): 72

Publish Date: 2016 01, Fri

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Total Views: 1.4K

Total Downloads: 72

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