MILP Model for Plant-Wide Optimal By-Product Gas Scheduling in Iron and Steel Industry

Kong, Hai-ning; Qi, Ershi; He, Shiwei; Li, Gang

doi:10.1016/s1006-706x(10)60153-7

Cited by 25 publications

(9 citation statements)

References 6 publications

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“…The latter was considered in Refs. [39,90]. Processing industries refer to the raw material transformation sector for goods, including capital goods such as machine tools and auto parts, and consumer goods such as clothing and food.…”

Section: Interpretation and Analysis Of Resultsmentioning

confidence: 99%

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A survey of case studies in production scheduling: Analysis and perspectives

Fuchigami

Rangel

2018

Journal of Computational Science

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The problems of production scheduling and sequencing refer to decision making regarding the designation of jobs to available resources and their subsequent order to optimize pre-defined performance measures. From the early days of research in this area until this last decade, the publication of case studies has been scarce, with their frequency only increasing very recently. This survey aims to highlight practical research and case studies published in the literature in the scheduling area, identifying the main characteristics of the problems treated, trends in this research and also gaps showing potential areas for future study.

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Section: Interpretation and Analysis Of Resultsmentioning

confidence: 99%

“…Applications related to the steel industry were considered in three papers. Kong et al [39] and Yang et al [90] developed MILP models. Li et al [45] proposed a Fruit Fly algorithm for scheduling casting.…”

Section: Description Of the Reviewed Papersmentioning

confidence: 99%

A survey of case studies in production scheduling: Analysis and perspectives

Fuchigami

Rangel

2018

Journal of Computational Science

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“…Significant savings of electricity costs, even up to 20%, were reported [120]. The same problem was also considered by Kong et al [121]. The authors proposed an MILP model, targeting the minimization of the operational cost by optimizing the by-product gas distribution.…”

Section: Steel Plantsmentioning

confidence: 93%

Optimization-Based Scheduling for the Process Industries: From Theory to Real-Life Industrial Applications

2019

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Scheduling is a major component for the efficient operation of the process industries. Especially in the current competitive globalized market, scheduling is of vital importance to most industries, since profit margins are miniscule. Prof. Sargent was one of the first to acknowledge this. His breakthrough contributions paved the way to other researchers to develop optimization-based methods that can address a plethora of process scheduling problems. Despite the plethora of works published by the scientific community, the practical implementation of optimization-based scheduling in industrial real-life applications is limited. In most industries, the optimization of production scheduling is seen as an extremely complex task and most schedulers prefer the use of a simulation-based software or manual decision, which result to suboptimal solutions. This work presents a comprehensive review of the theoretical concepts that emerged in the last 30 years. Moreover, an overview of the contributions that address real-life industrial case studies of process scheduling is illustrated. Finally, the major reasons that impede the application of optimization-based scheduling are critically analyzed and possible remedies are discussed.

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“…One key result is the difference in operation behavior of the optimized system when penalizing burner switching and auxiliary fuel oil usage with additional operation costs compared to only penalizing undesirable gasholder levels. Kong et al , proposed a similar model and its modification in 2010. In 2015, Zhao et al presented an MILP model for by‐product gas distribution with relatively short time intervals of 15 minutes and corresponding dynamic constraints.…”

Section: By‐product Gas Distributionmentioning

confidence: 99%

A Review of Mathematical Programming in Integrated Iron‐ and Steelmaking

Beek

2018

Chemie Ingenieur Technik

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This paper presents and reviews the current application fields of mathematical programming in integrated iron‐ and steelmaking research. Three different fields of mathematical programming applications are identified and discussed: unit operation optimization, by‐product gas distribution, and integrated system optimization and design. Based on current research activities in the iron and steel industry, development trends for mathematical programming in integrated iron‐ and steelmaking research, such as the cogeneration of chemicals aided by renewable energy grid integration, are presented.

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MILP Model for Plant-Wide Optimal By-Product Gas Scheduling in Iron and Steel Industry

Cited by 25 publications

References 6 publications

A survey of case studies in production scheduling: Analysis and perspectives

A survey of case studies in production scheduling: Analysis and perspectives

Optimization-Based Scheduling for the Process Industries: From Theory to Real-Life Industrial Applications

A Review of Mathematical Programming in Integrated Iron‐ and Steelmaking

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