MétaCan
Menu
Back to cohort
Record W3198201971 · doi:10.1016/j.ifacol.2021.08.297

Integration of Planning, Scheduling, and Control for Multi-product Chemical Systems under Preventive Maintenance

2021· article· en· W3198201971 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIFAC-PapersOnLine · 2021
Typearticle
Languageen
FieldEngineering
TopicReliability and Maintenance Optimization
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsScheduling (production processes)HeuristicsPreventive maintenanceRobustness (evolution)A priori and a posterioriComputer scienceReliability engineeringWork in processOperations researchRisk analysis (engineering)Operations managementEngineeringManufacturing engineeringBusiness

Abstract

fetched live from OpenAlex

This study presents a framework to perform simultaneous planning, scheduling, and control (iPSC) under preventive maintenance (PM) for multi-product continuous manufacturing units. PM is an essential part of the chemical industry as they provide robustness to the operation and minimize potential plant shutdowns. Flexible planning periods are also investigated in this work since they can improve process economics. A case study featuring a multi-product CSTR is presented to illustrate the benefits of the proposed framework. The results show that flexible planning periods can lead to considerable economic improvement compared to fixed planning periods. Also, an appropriate PM program combined with flexible planning periods provides the opportunity to optimize the maintenance time instead of fixing those times a priori using process heuristics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.519
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.261
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it