Inter-process synchronization in steel production

Petersen, C. M.; Sørensen, Kim Lynge; Vidal, René Víctor Valqui

doi:10.1080/00207549208942964

Cited by 25 publications

(14 citation statements)

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“…Petersen et al [1] suggested that the development of strategies for sequencing slabs through the reheat furnace and rolling mill of a modern steel production facility is complicated by multiple, and often conflicting, production objectives. Optimal energy efficiency through the reheat furnace may lead to inefficient rolling sequences or less than desirable product delivery schedules.…”

Section: Literature Reviewmentioning

confidence: 99%

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An agent-oriented approach to resolve the production planning complexities for a modern steel manufacturing system

Mohanty¹

2004

Int J Adv Manuf Technol

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The development of strategies for sequencing slabs through the reheat furnace and rolling mill of a modern steel manufacturing system is complicated by multiple and often conflicting objectives. For example, optimal energy efficiency through the reheat furnace may lead to inefficient rolling sequences or a less than desirable product delivery schedule. Thus, not only the model formulation is complicated, but also the combinatorial nature of the problem precludes an optimal solution. To address these complexities, an agentoriented approach that has originated from distributed artificial intelligence (DAI) is proposed here. It is found that the implementation of agent technology in the steel manufacturing system makes the operations more flexible, economical and energy efficient.

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Section: Literature Reviewmentioning

confidence: 99%

“…Several attempts have been made by researchers like Thorsen [5], Silau [6], Petersen et al [1] and Nemhauster [7] to resolve the complexities associated with the steel manufacturing system. In this context, it needs to be mentioned that a model of the slab's inventory was constructed by Thorsen [5].…”

Section: Literature Reviewmentioning

confidence: 99%

An agent-oriented approach to resolve the production planning complexities for a modern steel manufacturing system

Mohanty¹

2004

Int J Adv Manuf Technol

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“…have developed a mathematical programming model for scheduling steel making-continuous casting production, Redwine and Wismer (1974) presented an example of off-line scheduling for steel production using dynamic mathematical programming. Petersen et al (1992) have developed a mathematical programming model to solve scheduling problem in steel-making. The main goal of these mathematical programming models is to ensure the fulfillment of objectives; minimum price paid and maximize the charged price to satisfy the charge's requirement.…”

Section: Motivation To Use Combinatorial Auction Theorymentioning

confidence: 99%

Auction-based approach to resolve the scheduling problem in the steel making process

Kumar¹,

Kumar²,

Tiwari³

et al. 2006

International Journal of Production Research

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Steel production is an extremely complex process and finding its coherent schedules for the wide variety of production steps in a dynamic environment, where disturbances frequently occur, is a challenging task. In the steel production process, the blast furnace continuously produces liquid iron, which is transformed into liquid steel in the melt shop. The majority of the molten steel passes through a continuous caster to form large steel slabs, which are rolled into coils in the hot strip mill. The scheduling system of these processes has very different objectives and constraints, and operates in an environment where there is a substantial quantity of real-time information concerning production failures and customer requests. The steel making process that includes steel making followed by continuous casting is generally the main bottleneck in steel production. Therefore, comprehensive scheduling of this process is critical to improve the quality and productivity of the entire production system. This paper addresses the scheduling problem in steel making process. The methodology of winner determination using combinatorial auction process is employed to solve the aforementioned problem. Combinatorial auction based approaches are capable of minimizing large search space, discontinuity, and noise in order to obtain near optimal solutions. Hence in the proposed work the authors have adopted its splendid characteristics to enhance the quality of the solution in such complex scenarios. In the combinatorial auction, allowing bidding on a combination of assets, offers a way to enhance the efficiency of allocating the assets. In this paper, scheduling problem in steel making has been formulated as a linear integer program to determine the scheduling sequence for different charges. Then bids are obtained for sequencing the charges. Next, a heuristic approach is used to evaluate the bids. The computational results show that our algorithm can obtain optimal or near-optimal solutions for combinatorial problems. The proposed algorithm has been verified by a case study.

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“…By their nature, such plants do not have moulding sections since they produce steel sheets, of varying sizes and types, in rolling machines with cylinders that are configured according to the sheet specifications. Tang et al [15] published a review of research on production planning and scheduling in steel production, while a variety of papers have studied the practical problems found in large steel plants, including [16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Lot sizing and furnace scheduling in small foundries

Araújo

Arenales

Clark

2008

Computers & Operations Research

100

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A lot-sizing and scheduling problem prevalent in small market-driven foundries is studied. There are two related decision levels: (1) the furnace scheduling of metal alloy production, and (2) moulding machine planning which specifies the type and size of production lots. A mixed integer programming (MIP) formulation of the problem is proposed, but is impractical to solve in reasonable computing time for non-small instances. As a result, a faster relax-and-fix (RF) approach is developed that can also be used on a rolling horizon basis where only immediate-term schedules are implemented. As well as a MIP method to solve the basic RF approach, three variants of a local search method are also developed and tested using instances based on the literature.Finally, foundry-based tests with a real order book resulted in a very substantial reduction of delivery delays and finished inventory, better use of capacity, and much faster schedule definition compared to the foundry's own practice.

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Inter-process synchronization in steel production

Cited by 25 publications

References 1 publication

An agent-oriented approach to resolve the production planning complexities for a modern steel manufacturing system

An agent-oriented approach to resolve the production planning complexities for a modern steel manufacturing system

Auction-based approach to resolve the scheduling problem in the steel making process

Lot sizing and furnace scheduling in small foundries

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