﻿ 铁前物流成本控制模型及优化 Logistics Cost Control Model and Optimization of Iron-Making

Vol.05 No.02(2016), Article ID:17655,7 pages
10.12677/AAM.2016.52033

Logistics Cost Control Model and Optimization of Iron-Making

Hongbiao Duan1, Yanhui Zhang1, Hua Wang1, Jincai Chang2, Yunhua Qu3

1Yisheng College, North China University of Science and Technology, Tangshan Hebei

2College of Sciences, North China University of Science and Technology, Tangshan Hebei

3College of Qian’an, North China University of Science and Technology, Tangshan Hebei

Received: May 3rd, 2016; accepted: May 23rd, 2016; published: May 26th, 2016

ABSTRACT

The relationship model between the cost of factors and cost of production was established. On the one hand, we need to make a series of analysis from macroscopic big data, digging out the beyond experience’s influential factors; on the other hand, based on the theory of interval programming algorithm, model was established from different angles by analysis of microcosmic angle and study of fine model. Finally, using the data of logistics cost from a steel plant, model was integrated in the five aspects of coking, iron-making, pellets, sintering, and lime. At the same time, we have predicted all costs and provided references for iron logistics’ management decision.

Keywords:Iron-Making Cost, Interval Programming Algorithm, Logistics Management, Optimization

1华北理工大学，以升创新教育基地，河北 唐山

2华北理工大学理学院，河北 唐山

3华北理工大学迁安学院，河北 唐山

1. 引言

2. 方法的选择与模型的建立

2.1. 目标系数和约束系数均含有区间数的线性规划

2.2. 模型的提出

(1)

2.3. 模型的求解

(1) 定理如下：在满意度水平下，将参数引入目标函数，模型(1)可转化为如下的线性规划：

(2)

(2) 模型(2)的最优解是(1)的有效解。

(3)

2.4. 约束系数含有三角模糊数的区间线性规划

2.4.1. 可以定义如下的线性规划称为混合型的区间线性规划

(4)

2.4.2. 模型的求解

(5)

2.5. 优化模型的优缺点

3. 模型的建立与计算

Table 1. Coking part

Table 2. Iron making part

Table 3. Pellet part

Table 4. Sintering part

Table 5. Lime part

, , , ,

Table 6. Cost of each group

Table 7. Various cost of the sixteenth group

, , , ,

4. 结论

Logistics Cost Control Model and Optimization of Iron-Making[J]. 应用数学进展, 2016, 05(02): 262-268. http://dx.doi.org/10.12677/AAM.2016.52033

1. 1. 韩珍堂. 中国钢铁工业竞争力提升战略研究[D]: [博士学位论文]. 北京: 中国社会科学院研究生院, 2014: 82-116.

2. 2. 姜潮. 基于区间的不确定性理论优化计算法[D]: [博士学位论文]. 长沙: 湖南大学, 2008.

3. 3. 何尔雅. 关于区间优化模型的算法研究[D]: [硕士学位论文]. 武汉: 武汉大学, 2005: 10-20.

4. 4. 房少纯. 区间优化算法的研究及应用[D]: [硕士学位论文]. 沈阳: 东北大学, 2012: 15-16.

5. 5. 李为相. 基于区间数的不确定决策理论与方法研究[D]: [博士学位论文]. 南京: 南京航天航空大学, 2010: 13-19.

6. 6. 孙靖. 用于区间参数多目标优化问题的遗传算法[D]: [博士学位论文]. 徐州: 中国矿业大学, 2012: 115-116.

7. 7. 苏天森. 冶金工程技术学科的研究现状与发展前景[C]. 冶金工程技术学科发展报告, 2009: 5-17.