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Record W4401467860 · doi:10.62051/bsn66s98

Warehousing Cost Optimization in the Restaurant Brands International (Canada) Inc.

2024· article· en· W4401467860 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTransactions on Economics Business and Management Research · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicScheduling and Timetabling Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsSalaryInteger programmingBusinessScheduling (production processes)Operations researchLabor costOperations managementComputer scienceMarketingEconomicsEngineering

Abstract

fetched live from OpenAlex

Restaurant Brands International (RBI), a global catering company, faces significant warehousing cost challenges, primarily driven by labor expenses. This study aims to minimize these costs while maintaining service quality through an integer linear programming model for optimal employee scheduling. The model incorporates various constraints, such as the minimum number of shifts per week and employee preferences, and considers real data from RBI’s financial reports. Sensitivity analyses were conducted to assess the impact of salary adjustments, changes in the minimum number of shifts, and the reduction of part-time work opportunities. The results indicate that the optimized scheduling model can significantly reduce labor costs and improve operational efficiency. The findings provide a reference for RBI and other companies with similar warehousing needs, emphasizing the importance of flexible scheduling, employee satisfaction, and adapting to peak demand periods.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.169
GPT teacher head0.403
Teacher spread0.234 · 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