Wyniki wyszukiwania - BazTech

1

Optimization algorithms in the charge planning for the BOF Plant

Gawron M., Adamczyk C.

Journal of Achievements in Materials and Manufacturing Engineering

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2012

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Vol. 55, nr 2

483--487

EN

Purpose: The purpose has been to demonstrate the possibilities of reducing the cost of steel processing in the BOF Plant by using optimization algorithms in the charge planning. Design/methodology/approach: A lot of production factors and technological relationships impact the BOF processing costs. Practically any change in charge material parameters, like chemistry and temperature of hot metal, scraps and fluxes, as well as market prices of materials and cost of carbon dioxide emission, have to be considered to find an optimum charge mix, which generates the minimum cost and simultaneously complies with all technological and steel quality constraints. A linear optimization task including a simplified version of a BOF static model has been defined and a few examples of typical industry charge planning problem have been solved and presented. Findings: Critical price and amount of a given charge material for current technological conditions, stocks and market situation is the basic information for the Steel Plant management as well as for the Purchase Department. The relationship between material prices, CO2 emission price and material consumption for a given production and logistic constraints have been identified. Research limitations/implications: The paper describes using mathematical optimization methods in a specific area of steel industry, but it is opened problem with large potential of obtaining substantial benefits in other areas. Practical implications: The optimization model has been a base for developing the application for the Steel Plant and Purchase Department to optimize charge mix and plan the charge materials purchasing. Originality/value: The optimization algorithms has been adapted for a specific operation problem in steel making, i.e. calculation of charge for BOF.

2

Methodology of evaluation of value created in the productive processes

Roszak M. T.

Journal of Achievements in Materials and Manufacturing Engineering

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2008

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Vol. 31, nr 2

810-815

EN

Purpose: Of this paper was to present the methodology of analysis of the productive processes with application of value analysis and multi-criterion-analysis which allow to evaluate the technology and organization of the productive processes. Design/methodology/approach: Presented in the paper methodology of evaluation of the productive processes is based on analysis of activities in the productive processes and their characteristics with reference to created value in the productive chain. Findings: The paper presents elaborated by the author methodology and computer application for application in the chains of the productive processes. Research limitations/implications: Presented methodology allows to evaluate effectivity of the productive chains connecting aspects of the management and economics of the process. Practical implications: Presented methodology was used in analysis of the productive chains and their effectivity, and also as a benchmarking instrument. Originality/value: The paper presents originally elaborated computer application for the value added analysis in the productive chains.

3

Improvement of a Grey Based Method for supplier selection problem

Jadidi O., Yusuff R. M., Firouzi F., Hong T. S.

Journal of Achievements in Materials and Manufacturing Engineering

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2008

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Vol. 31, nr 2

770-777

EN

Purpose: In this article, we combine this new approach based on the concepts of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to evaluate and select the best supplier. Design/methodology/approach: Supplier evaluation is a Multi-Attribute Decision-Making (MADM) problem that is affected by quantitative and qualitative factors, some of which may conflict. Since most of the input information is not known accurately, selecting the right suppliers becomes more difficult. Grey theory is one of the new mathematical methods used to analyze systems with uncertain and incomplete information. Findings: Through this article, it is demonstrated that the improved method, which is used to solve the MADM problems for selecting the best supplier, is a good means of evaluation, and it appears to be more appropriate. Practical implications: Grey theory is a new mathematical field that is one of the methods used to study the uncertainty of a system. Originality/value: Through this article, it was demonstrated that the improved method, which is used to solve the MADM problems for selecting the best supplier, is a good means of evaluation, and it appears to be more appropriate.