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Record W4393009742 · doi:10.1080/03155986.2024.2327760

Production-and-order strategy with demand information updating and uncertain spot price

2024· article· en· W4393009742 on OpenAlexvenueno aff
Jiawu Peng, Honglin Yang, Hong Wan

Bibliographic record

VenueINFOR Information Systems and Operational Research · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSupply Chain and Inventory Management
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)Production (economics)Computer scienceSpot contractHot spot (computer programming)Sweet spotOperations researchEconomicsMicroeconomicsSimulationFinancial economicsEngineeringFinanceFutures contract

Abstract

fetched live from OpenAlex

We study production-and-order strategy in a two-echelon supply chain consisting of a single manufacturer and a single retailer in which both market demand and spot price are uncertain. The retailer updates early demand information through observing new market signal during long production season. The retailer may order product before the demand is updated by signing wholesale price contract (called a contract order), or order from the manufacturer in spot market after the demand is updated (called a spot order). In a retailer-led Stackelberg game, we construct a two-stage dynamic decision model to derive the optimal equilibrium solutions for the production and order quantity under both contract order strategy and spot order strategy. We characterize the conditions under which demand information updating benefits or hurts the members and a win-win is achieved. In sharp contrast to the existing findings in that the retailer always prefers to order late until demand information is updated, we discover that the retailer may prefers to order early when the spot price uncertainty is above a certain threshold. Then, we design a single-side payment contract to stimulate the manufacturer to choose order mode satisfying the retailer’s preference.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0050.014
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 head0.045
GPT teacher head0.303
Teacher spread0.257 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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