Two-Phase Algorithm to Optimise Energy Resource Allocation in an Electrochemical Company and Task Sequencing: A Case Study.

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Title: Two-Phase Algorithm to Optimise Energy Resource Allocation in an Electrochemical Company and Task Sequencing: A Case Study.
Authors: Chennoufi, H.1 chennoufihakim@gmail.com, Djamel, B.2
Source: South African Journal of Industrial Engineering. 12/15/2025, Vol. 36 Issue 4, p211-225. 15p.
Subjects: Energy consumption, Simplex algorithm, Electrochemicals industry, Scheduling, Cost analysis, Energy conservation, Renewable energy sources, Resource allocation
Abstract (English): The purpose of this article was to optimise the cost of the energy consumption of an industrial complex that was using three energy sources: industrial electricity, natural gas, and solar energy. Before undertaking any optimisation action, we carried out an in-depth examination of the company's energy system. This action was positioned as an essential pivot for collecting energy data according to: Source (gas, electricity); Equipment or production tools; Usage (heating, cooling, lighting, ventilation, etc.). The in-depth examination of the company's energy system made it possible to identify the energy consumption of the equipment and the costs associated with it for a year of operation. With an objective of energy and economic performance, the simplex algorithm was implemented to resolve the energy mix model and machine hours, according to the two-phase technique applied first to the energy problem and second to resolving the time problem. [ABSTRACT FROM AUTHOR]
Abstract (Afrikaans): Die doel van hierdie artikel was om die koste van die energieverbruik van 'n industriële kompleks wat drie energiebronne gebruik het te optimeer: industriële elektrisiteit, aardgas en sonkrag. Voordat ons enige optimeringsaksie onderneem het, het ons 'n in-diepte ondersoek van die maatskappy se energiestelsel uitgevoer. Hierdie aksie is geposisioneer as 'n noodsaaklike spilpunt vir die insameling van energiedata volgens: Bron (gas, elektrisiteit); Toerusting of produksie gereedskap; Gebruik (verhitting, verkoeling, beligting, ventilasie, ens.). Die in-diepte ondersoek van die maatskappy se energiestelsel het dit moontlik gemaak om die energieverbruik van die toerusting en die koste daaraan verbonde vir 'n jaar van bedryf te identifiseer. Met 'n doelwit van energie en ekonomiese werkverrigting, is die simpleksalgoritme geïmplementeer om die energiemengselmodel en masjienure op te los, volgens die tweefase-tegniek wat eerstens op die energieprobleem toegepas is en tweedens om die tydprobleem op te los. [ABSTRACT FROM AUTHOR]
Copyright of South African Journal of Industrial Engineering is the property of South African Journal of Industrial Engineering (University of Pretoria) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Two-Phase Algorithm to Optimise Energy Resource Allocation in an Electrochemical Company and Task Sequencing: A Case Study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chennoufi%2C+H%2E%22">Chennoufi, H.</searchLink><relatesTo>1</relatesTo><i> chennoufihakim@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Djamel%2C+B%2E%22">Djamel, B.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22South+African+Journal+of+Industrial+Engineering%22">South African Journal of Industrial Engineering</searchLink>. 12/15/2025, Vol. 36 Issue 4, p211-225. 15p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Simplex+algorithm%22">Simplex algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Electrochemicals+industry%22">Electrochemicals industry</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+analysis%22">Cost analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+conservation%22">Energy conservation</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: The purpose of this article was to optimise the cost of the energy consumption of an industrial complex that was using three energy sources: industrial electricity, natural gas, and solar energy. Before undertaking any optimisation action, we carried out an in-depth examination of the company's energy system. This action was positioned as an essential pivot for collecting energy data according to: Source (gas, electricity); Equipment or production tools; Usage (heating, cooling, lighting, ventilation, etc.). The in-depth examination of the company's energy system made it possible to identify the energy consumption of the equipment and the costs associated with it for a year of operation. With an objective of energy and economic performance, the simplex algorithm was implemented to resolve the energy mix model and machine hours, according to the two-phase technique applied first to the energy problem and second to resolving the time problem. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Afrikaans)
  Group: Ab
  Data: Die doel van hierdie artikel was om die koste van die energieverbruik van 'n industriële kompleks wat drie energiebronne gebruik het te optimeer: industriële elektrisiteit, aardgas en sonkrag. Voordat ons enige optimeringsaksie onderneem het, het ons 'n in-diepte ondersoek van die maatskappy se energiestelsel uitgevoer. Hierdie aksie is geposisioneer as 'n noodsaaklike spilpunt vir die insameling van energiedata volgens: Bron (gas, elektrisiteit); Toerusting of produksie gereedskap; Gebruik (verhitting, verkoeling, beligting, ventilasie, ens.). Die in-diepte ondersoek van die maatskappy se energiestelsel het dit moontlik gemaak om die energieverbruik van die toerusting en die koste daaraan verbonde vir 'n jaar van bedryf te identifiseer. Met 'n doelwit van energie en ekonomiese werkverrigting, is die simpleksalgoritme geïmplementeer om die energiemengselmodel en masjienure op te los, volgens die tweefase-tegniek wat eerstens op die energieprobleem toegepas is en tweedens om die tydprobleem op te los. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of South African Journal of Industrial Engineering is the property of South African Journal of Industrial Engineering (University of Pretoria) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.7166/36-4-3212
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 211
    Subjects:
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Simplex algorithm
        Type: general
      – SubjectFull: Electrochemicals industry
        Type: general
      – SubjectFull: Scheduling
        Type: general
      – SubjectFull: Cost analysis
        Type: general
      – SubjectFull: Energy conservation
        Type: general
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Resource allocation
        Type: general
    Titles:
      – TitleFull: Two-Phase Algorithm to Optimise Energy Resource Allocation in an Electrochemical Company and Task Sequencing: A Case Study.
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            NameFull: Chennoufi, H.
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            NameFull: Djamel, B.
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            – D: 15
              M: 12
              Text: 12/15/2025
              Type: published
              Y: 2025
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