- Title
- Process reliability analysis applied for continual improvement of large-scale alumina refineries
- Creator
- Don, R. Welandage; Chattopadhyay, Gopi; Kamruzzaman, Joarder
- Date
- 2024
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/199910
- Identifier
- vital:19271
- Identifier
-
https://doi.org/10.1007/978-3-031-39619-9_49
- Identifier
- ISBN:2195-4356 (ISSN); 9783031396182 (ISBN)
- Abstract
- Large-scale alumina refineries use strategic planning to forecast production plans for short, medium, and long term operational decisions. However, actual production deviates from the forecast due to reasons within Supplier, Input, Process, Output and Contractor (SIPOC) related variations including unplanned downtimes, issues with supply chain disruptions, availability of staff and demand fluctuations due to numerous factors including environmental changes, if any. The unreliable production process results in lost revenue and adversely affects the corporate image. This paper presents a statistical approach applying the Weibull model to identify the causes of production deviation and find improvement opportunities for reducing costs and risks while enhancing performance. An illustrative example from a chemical alumina refinery plant in Australia is presented. The various steps used in the analysis are discussed in this paper using illustrative example where production data is analysed and compared for diverse options of interventions for a robust and effective method for managers to better understand the gaps for monitoring and assuring plant performance. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Relation
- 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Lulea, Sweden, 13-15 June 2023, International Congress and Workshop on Industrial AI and eMaintenance 2023 Conference proceedings p. 665-677
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © The Author(s)
- Subject
- Continual improvement; Process reliability; Weibull analysis
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