Integration of accident scenario generation and multiobjective optimization for safety-cost decision making in chemical processes

Kim, Dong Ho; Kim, Jiyong; Moon, Il

doi:10.1016/j.jlp.2006.04.002

Cited by 18 publications

(6 citation statements)

References 14 publications

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“…(2002) [2] , Lin Zou (2007) [3] , Zhen Li (2010) [4] , Xiaohong Chem etal (2012) [5]. Safety investment Decisions Dongwoon Kim (2006) [6] , Shuming Wang etc. (2009) [7] , Guangjin Zhao (2012) [8] Safety investment and its evaluation Quanjun Chen (2005) [9] , Xiaobing Zhang etal.…”

Section: Research Fieldmentioning

confidence: 99%

Research Review on the Value of Coalmine Safety Investment Based on Real Option

Zhao

Tian

2014

AMM

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The paper focuses on coalmine safety investment, studies and summarizes theories of safety investment and real option. Based on real option applications on pricing, venture investment, investment decision, estimation and valuation, investment assessment and safety investment, it analyzes the problems in researches on coal mine safety investments and advantages of constructing pricing model that combined real option with fuzzy mathematics theory, and proposes research direction of incorporating fuzzy numbers into real option model.

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Section: Research Fieldmentioning

confidence: 99%

Research Review on the Value of Coalmine Safety Investment Based on Real Option

Zhao

Tian

2014

AMM

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“…The objectives considered are reduction in reverse logistics cost, product quality improvement through increased segregation at the source and environmental benefits through increased wastepaper recovery. Kim et al (2006) focused on a new systematic method of finding the most cost-risk-effective investment scenario set in the chemical process industries. They used the GP model and a modified summation of weighted objective function to decide the priority of investment.…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling the relationship between product quality and process characteristics in process industry: an application

Kuruüzüm

Akyüz

2009

IJPQM

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Process industries have a relatively sophisticated and high capital density structure in manufacturing industries. Process industries are one of the leading industries having competitive advantage due to specialisation, huge amount of standard production and scale economies. In this paper, the goal programming (GP) technique is applied for quality improvement in beer manufacturing as an example of process industry. The main purpose of the constructed model is to determine the new and current standards of the manufacturing process variables, which affect the characteristics of product quality. The model is, basically, formed in three phases. The first is concerned with multiple-regression equations. In this phase, product characteristics are defined as dependent variables while the manufacturing process variables are defined as independent variables. In the second phase, the GP technique is applied to these equations and to other objective functions. In the last phase, the solution values obtained are used to redefine tolerances of variables called process control variables.

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“…[ 31 ] A detailed decision‐making procedure has been presented as an extension of the aforesaid method. [ 32 ] However, the process simulators have not been engaged due to the intrinsic limitations of software, as only process and control scheme modifications can be studied engaging the process simulator, and safety and environment prospects cannot be studied via process simulators. This limitation has been resolved by a systematic methodology for MOO.…”

Section: Introductionmentioning

confidence: 99%

Sustainable process design for heat exchanger network considering inherent safety and process economics

Athar,

Shariff,

Rashid

et al. 2024

Can J Chem Eng

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Process lifecycle has several stages, including process design covered in multiple stages. Process economics is a vital factor in finalizing the process design. Besides economics, inherent safety is an important concept contributing to sustainable process design generation. The inherent safety concept has been applied via equipment characteristics for individual equipment. Since a method considering inherent safety with equipment aspects and process economics has not been available, therefore, a new method has been proposed, namely sustainable process design for heat exchanger network (SPDHEN), to integrate inherent safety, equipment aspects, and process economics. SPDHEN uses indexing to identify the critical heat exchanger, which is then examined via hazard analysis for an explosion. For unacceptable hazards, inherent safety principles are engaged to generate design alternatives for which process economics is examined too. The final design would be inherently safer with the best profit margin. The proposed method has been studied for the ammonia synthesis loop. It is concluded that the explosion hazard has been reduced to a tolerable level by using inherent guide words with a marginal compromise on quantity of ammonia produced, that is, 0.32%. This method is straightforward and can be useful for process engineers to generate sustainable process designs for heat exchanger networks considering safety and process economics simultaneously.

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Integration of accident scenario generation and multiobjective optimization for safety-cost decision making in chemical processes

Cited by 18 publications

References 14 publications

Research Review on the Value of Coalmine Safety Investment Based on Real Option

Research Review on the Value of Coalmine Safety Investment Based on Real Option

Modelling the relationship between product quality and process characteristics in process industry: an application

Sustainable process design for heat exchanger network considering inherent safety and process economics

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