Multiobjective Multifactorial Operation Optimization for Continuous Annealing Production Process

2019 ◽  
Vol 58 (41) ◽  
pp. 19166-19178 ◽  
Author(s):  
Zan Wang ◽  
Xianpeng Wang
Keyword(s):  
Production Process ◽  
Continuous Annealing ◽  
Operation Optimization

The Analysis of Generation and Transformation of Strip Warps

2012 ◽  
Vol 429 ◽  
pp. 78-82
Author(s):  
Jian Qin ◽  
Qing Dong Zhang ◽  
Pei Cheng Zhang
Keyword(s):  
Production Process ◽  
Plane Problem ◽  
Residual Strain ◽  
Field Measurement ◽  
Three Dimensional ◽  
Steel Production ◽  
Continuous Annealing ◽  
Strip Steel ◽  
Three Dimensional Elasticity ◽  
The Relationship

The warps (curvatures) of strip in the continuous annealing can be classed as longitudinal and transverse warps. The analysis of warp is simplified from a three-dimensional elasticity problem to a plane problem, and it is proposed in this paper that the residual strain caused by metal rolling is the main reason for the transverse warps. The relationship between the different warps is also discussed on the basis of elastic analyses. Analytical estimates are derived and compared against field measurement. The warp mechanism on the strip steel production process is revealed which can provide the theory basis for decreasing warp.

scholarly journals Optimal Control Problem of Converter Steelmaking Production Process Based on Operation Optimization Method

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Jun Zhang
Keyword(s):  
Optimal Control ◽  
Optimal Control Problem ◽  
Control Problem ◽  
Carbon Content ◽  
Production Process ◽  
Production Data ◽  
Converter Steelmaking ◽  
Operation Optimization ◽  
Dynamic Operation ◽  
Actual Production

Dynamic operation optimization has been utilized to realize optimal control problem for converter. The optimal control indicator is determined via current state of converter smelting production process, and the set values of operation variable would control converter production. Relationship between various operating variables, current temperature, and carbon content is constructed through operation analysis of a great deal of actual production data; then, the dynamic optimal control indicator is derived from historical excellent smelting data; finally, the dynamic operation optimization model is built by taking the minimum deviation between the current data—molten steel temperature and carbon content—and optimal data which are determined by the optimal control indicator as objective function. DE (differential evolution) with improved strategy is used to solve the proposed model for obtaining the set values of each operating variable, which is beneficial for further control. Simulation of actual production data shows the feasibility and efficiency of the proposed method. That proved that the proposed method solves the optimal control problem of converter steelmaking process as well.

scholarly journals Multiobjective Operation Optimization of Continuous Annealing Based on Data Analytics

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 50109-50118 ◽  
Author(s):  
Bo Zhang ◽  
Zan Wang ◽  
Xianpeng Wang
Keyword(s):  
Data Analytics ◽  
Continuous Annealing ◽  
Operation Optimization

Operation Optimization in the Hot-Rolling Production Process

2014 ◽  
Vol 53 (28) ◽  
pp. 11393-11410 ◽  
Author(s):  
Li Chen ◽  
Xianpeng Wang ◽  
Lixin Tang
Keyword(s):  
Production Process ◽  
Hot Rolling ◽  
Operation Optimization ◽  
Rolling Production

Optimization of the production process of special purpose pasta with the addition of carrots and pectin

2019 ◽  
Vol 28 (9) ◽  
pp. 50-53
Author(s):  
N.N. Martynov ◽  
◽  
G.A. Sidorenko ◽  
G.B. Zinyukhin ◽  
E.Sh. Maneeva ◽  
...  
Keyword(s):  
Production Process

IMPLEMENTASI JOB ORDER COSTING METHOD DALAM PERHITUNGAN HARGA POKOK PRODUKSI MAP

2018 ◽  
Vol 4 (2) ◽  
pp. 43-55
Author(s):  
Ika Yulianti ◽  
Endah Masrunik ◽  
Anam Miftakhul Huda ◽  
Diana Elvianita
Keyword(s):  
Production Process ◽  
Quantitative Data ◽  
Production Cost ◽  
Qualitative Data ◽  
Cost Data ◽  
Method Calculation ◽  
Cost Of Production ◽  
The Right ◽  
The Cost

This study aims to find a comparison of the calculation of the cost of goods manufactured in the CV. Mitra Setia Blitar uses the company's method and uses the Job Order Costing (JOC) method. The method used in this study is quantitative. The types of data used are quantitative and qualitative. Quantitative data is in the form of map production cost data while qualitative data is in the form of information about map production process. The result of calculating the cost of production of the map between the two methods results in a difference of Rp. 306. Calculation using the company method is more expensive than using the Job Order Costing method. Calculation of cost of goods manufactured using the company method is Rp. 2,205,000, - or Rp. 2,205, - each unit. While using the Job Order Costing (JOC) method is Rp. 1,899,000, - or Rp 1,899, - each unit. So that the right method used in calculating the cost of production is the Job Order Costing (JOC) method

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