Minimization of economical losses due to utility disturbances in the process industry

Lindholm, Anna; Giselsson, Pontus

doi:10.1016/j.jprocont.2013.02.005

Cited by 6 publications

(13 citation statements)

References 13 publications

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“…In constraint (19), the finish times of all suitable tasks that consume a utility at previous event are enforced to occur before, if the task is active. Otherwise, constraint (19) is relaxed.…”

Section: Different Tasks In Different Unitsmentioning

confidence: 99%

“…However, the utility supply is affected seriously by the energy system, and the energy system is also disturbed by many uncertainty factors. So, utility disturbances usually occur, which will affect the normal running of machines, make the scheduling decision infeasible, even leads to the shutdown of the product line [18][19][20]. Consequently, dealing with utility uncertainty well in production scheduling is vital to enterprise competitiveness.…”

Section: Introductionmentioning

confidence: 99%

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Uncertain Production Scheduling Based on Fuzzy Theory Considering Utility and Production Rate

et al. 2017

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Abstract:Handling uncertainty in an appropriate manner during the real operation of a cyber-physical system (CPS) is critical. Uncertain production scheduling as a part of CPS uncertainty issues should attract more attention. In this paper, a Mixed Integer Nonlinear Programming (MINLP) uncertain model for batch process is formulated based on a unit-specific event-based continuous-time modeling method. Utility uncertainty and uncertain relationship between production rate and utility supply are described by fuzzy theory. The uncertain scheduling model is converted into deterministic model by mathematical method. Through one numerical example, the accuracy and practicability of the proposed model is proved. Fuzzy scheduling model can supply valuable decision options for enterprise managers to make decision more accurate and practical. The impact and selection of some key parameters of fuzzy scheduling model are elaborated.

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Section: Different Tasks In Different Unitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uncertain Production Scheduling Based on Fuzzy Theory Considering Utility and Production Rate

et al. 2017

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“…Examples of utility disturbances are too high temperature of the cooling water, too low or too high pressure in the steam net, or an electricity failure. Utilities may be interpreted as volumes, or power, which all areas have to share (Lindholm and Giselsson (2013)), which means that if one area uses less of a utility, there is more of the utility available for other areas. This enables formulation of an optimization problem that aims at dividing the utility resources among the areas at a site at a utility disturbance.…”

Section: Utility Disturbance Managementmentioning

confidence: 99%

“…A reasonable goal is to try to divide the resources such that the total loss of revenue is minimized. Formulation of such an optimization problem is discussed in Lindholm and Giselsson (2013). The optimization problem becomes particularly interesting for integrated sites, where both the plantwide nature of utilities and the area interconnections contribute to the complexity of the problem.…”

Section: Utility Disturbance Managementmentioning

confidence: 99%

“…Reference values for the sales of products are given by the production schedule, and predicted utility disturbance trajectories are also given as input for the detailed production scheduling. If the volume interpretation of utilities suggested in Lindholm and Giselsson (2013) is used, this is equivalent to trajectories that describe how much of the utilities that are available at each time instant. This could be represented in percent of how much that is available at normal operation of the site and its utilities.…”

Section: Detailed Production Schedulingmentioning

confidence: 99%

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Hierarchical Scheduling and Utility Disturbance Management in the Process Industry

Lindholm

Johnsson

Quttineh

et al. 2013

IFAC Proceedings Volumes

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Management, and Control, 2013 (pp. 140-145). IFAC. DOI: 10.3182/20130619-3-RU-3018.00106 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstract: The integration of scheduling and control in the process industry is a topic that has been frequently discussed during the recent years, but many challenges remain in order to achieve integrated solutions that can be implemented for large-scale industrial sites. In this paper we consider production control under disturbances in the supply of utilities at integrated sites together with the integration towards production scheduling. Utilities, such as steam and cooling water, are often shared between the production areas of a site, which enables formulation of an optimization problem for determining the optimal supply of utilities to each area at the occurrence of a disturbance. Optimization in two timescales is suggested to handle the scheduling and disturbance management problems in a hierarchical fashion. The suggested structure has been discussed with companies within the chemical process industry. A simple example is provided to show how the structure may be used.

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Hierarchical scheduling and disturbance management in the process industry

Lindholm¹,

Nytzén²

2014

Computers & Chemical Engineering

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Minimization of economical losses due to utility disturbances in the process industry

Cited by 6 publications

References 13 publications

Uncertain Production Scheduling Based on Fuzzy Theory Considering Utility and Production Rate

Uncertain Production Scheduling Based on Fuzzy Theory Considering Utility and Production Rate

Hierarchical Scheduling and Utility Disturbance Management in the Process Industry

Hierarchical scheduling and disturbance management in the process industry

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