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Record W2008929179 · doi:10.1504/ijism.2006.008337

Coordinating a three-level supply chain with price discounts, price dependent demand, and profit sharing

2005· article· en· W2008929179 on OpenAlexaff
Mohamad Y. Jaber, Ibrahim H. Osman, Alfred L. Guiffrida

Bibliographic record

VenueInternational Journal of Integrated Supply Management · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSupply Chain and Inventory Management
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSupply chainProfit (economics)Profit sharingMicroeconomicsBusinessIndustrial organizationService managementSupply chain managementOrder (exchange)Economic order quantityEconomicsMarketingFinance

Abstract

fetched live from OpenAlex

This paper proposes a three-level (supplier-manufacturer-retailer) supply chain model with a profit sharing mechanism to maximise the supply chain profit. In this model, an all-unit price discounts scheme is used to coordinate the order quantities among the supply chain levels, and the demand at the retailer's end is assumed to be price dependent. To enhance the coordination in the supply chain, two profit-sharing scenarios are investigated. The semi-liberal scenario is based on increasing the quantity discount in order to generate more demands with which the most powerful player in the chain will get the highest fraction of additional profits. However, a strict mechanism is suggested to rectify the first scenario by dividing the coordination profits based on equal return on investments. Computational results are provided under different patterns of the players' order or set-up costs along the chain. Furthermore, the results show that the strict mechanism is the best mechanism for profit sharing among the players in the supply chain.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient 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: Empirical
Teacher disagreement score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.232
Teacher spread0.215 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
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

Citations67
Published2005
Admission routes1
Has abstractyes

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