Planning of fuel coal imports using a mixed integer programming method

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)243-249
Number of pages7
JournalInternational Journal of Production Economics
Volume51
Issue number3
DOIs
Publication statusPublished - 1997 Sep 15

Fingerprint

Integer programming
Coal
Planning
Power plants
Costs
Industry
Logistics
Scheduling
Public utilities
Ports and harbors
Unloading
Mixed integer programming
Import
Power plant
Commodities
Planning and scheduling
Taiwan
Procurement

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

@article{7efe80902231447f89a138ed38b71175,
title = "Planning of fuel coal imports using a mixed integer programming method",
abstract = "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.",
author = "Li-Hsing Shih",
year = "1997",
month = "9",
day = "15",
doi = "10.1016/S0925-5273(97)00078-9",
language = "English",
volume = "51",
pages = "243--249",
journal = "International Journal of Production Economics",
issn = "0925-5273",
publisher = "Elsevier",
number = "3",

}

Planning of fuel coal imports using a mixed integer programming method. / Shih, Li-Hsing.

In: International Journal of Production Economics, Vol. 51, No. 3, 15.09.1997, p. 243-249.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Planning of fuel coal imports using a mixed integer programming method

AU - Shih, Li-Hsing

PY - 1997/9/15

Y1 - 1997/9/15

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0031238150&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031238150&partnerID=8YFLogxK

U2 - 10.1016/S0925-5273(97)00078-9

DO - 10.1016/S0925-5273(97)00078-9

M3 - Article

VL - 51

SP - 243

EP - 249

JO - International Journal of Production Economics

JF - International Journal of Production Economics

SN - 0925-5273

IS - 3

ER -