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Record W2093303877 · doi:10.1080/07408170208928902

Integrating advance order information in make-to-stock production systems

2002· article· en· W2093303877 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

VenueIIE Transactions · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSupply Chain and Inventory Management
Canadian institutionsYork University
Fundersnot available
KeywordsBuild to orderComputer scienceStock (firearms)QueueStock controlOrder (exchange)Supply chainOperations researchProduction (economics)Optimal controlInformation structureRisk analysis (engineering)Mathematical optimizationMicroeconomicsBusinessEconomicsEngineeringMathematicsFinance

Abstract

fetched live from OpenAlex

Abstract Increased cooperation between supply chain partners and information technology are enabling the availability of advance order information for contract suppliers. Control mechanisms that take into account this availability are necessary in order to achieve the potential improvements in performance. We investigate the structure of optimal control policies for a discrete-time make-to-stock queue with advance order information, Since the optimal policy does not have a simple structure, we then propose a heuristic policy which is an extension of the base stock system that incorporates advance order information through a release lead time parameter. In order to quantify the benefits due to advance order information, we investigate the performance of the proposed mechanism and benchmark it against against the optimal control policy.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.215
Teacher spread0.194 · 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