Planning of fuel coal imports using a mixed integer programming method

In the public utility and commercial fuel industries, commodities from multiple supply sources are sometimes blended before use to reduce costs and assure quality. A typical example of these commodities is the fuel coal used in coal fired power plants. The diversity of the supply sources for these p...

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Bibliographic Details
Published in:International journal of production economics Vol. 51; no. 3; pp. 243 - 249
Main Author: Shih, Li-Hsing
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 15.09.1997
Elsevier
Elsevier Sequoia S.A
Series:International Journal of Production Economics
Subjects:
Coal industry
Fuel coal
Integer programming
Mixed integer programming
Operations research
Scheduling
Shipment scheduling
Studies
Taiwan
Mixed integer programming
Shipment scheduling
Fuel coal
ISSN:0925-5273, 1873-7579
Online Access:Get full text
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Summary:In the public utility and commercial fuel industries, commodities from multiple supply sources are sometimes blended before use to reduce costs and assure quality. A typical example of these commodities is the fuel coal used in coal fired power plants. The diversity of the supply sources for these plants makes the planning and scheduling of fuel coal logistics difficult, especially for a power company that has more than one power plant. This study proposes a mixed integer programming model that provides planning and scheduling of coal imports from multiple suppliers for the Taiwan Power Company. The objective is to minimize total inventory cost by minimizing procurement cost, transportation cost and holding cost. Constraints on the system include company procurement policy, power plant demand, harbor unloading capacity, inventory balance equations, blending requirement, and safety stock. An example problem is presented using the central coal logistics system of the Taiwan Power Company to demonstrate the validity of the proposed model.
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ISSN:0925-5273
1873-7579
DOI:10.1016/S0925-5273(97)00078-9