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How information influences the cost of transport in a supply chain, a monte carlo simulation

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Author Info
Xavier Brusset (IAG, Université Catholique de Louvain, Louvain la Neuve, Belgium)

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Abstract

The present paper studies the impact of information sharing and contractual instruments on a shipper and her transport suppliers through a monte carlo simulation. After reviewing the literature, we propose a model to measure the benefits in terms of expected transport cost and variance of this cost. We evaluate three scenarios over a reiterated- single period setting in a shipper carrier single-echelon model with a mix of long-term and short-term procurement strategies: perfect information, asymmetric information and private information at one level of the supply chain. After spelling out the optimal parameters for the procurement policy, we evaluate the rent transfer between carrier and shipper in a numeric example using the monte-carlo method.

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File URL: http://129.3.20.41/eps/em/papers/0512/0512008.pdf
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Publisher Info
Paper provided by EconWPA in its series Econometrics with number 0512008.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 49 pages
Date of creation: 07 Dec 2005
Date of revision:
Handle: RePEc:wpa:wuwpem:0512008

Note: Type of Document - pdf; pages: 49. A monte carlo simulation to show the importance of asymetrical information in transport cost and distribution of this cost between a shipper and a carrier.
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Web page: http://129.3.20.41

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Related research
Keywords: supply chain management; transport; contract; monte carlo; bivariate normal distribution; information;

Find related papers by JEL classification:
L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Statistical Decision Theory; Operations Research
C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis
C62 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Existence and Stability Conditions of Equilibrium

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Wu, D. J. & Kleindorfer, P. R. & Zhang, Jin E., 2002. "Optimal bidding and contracting strategies for capital-intensive goods," European Journal of Operational Research, Elsevier, vol. 137(3), pages 657-676, March. [Downloadable!] (restricted)
  2. Grieger, Martin, 2003. "Electronic marketplaces: A literature review and a call for supply chain management research," European Journal of Operational Research, Elsevier, vol. 144(2), pages 280-294, January. [Downloadable!] (restricted)
  3. Bryan R. Routledge & Duane J. Seppi & Chester S. Spatt, 2000. "Equilibrium Forward Curves for Commodities," Journal of Finance, American Finance Association, vol. 55(3), pages 1297-1338, 06. [Downloadable!] (restricted)
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  4. Seifert, Ralf W. & Thonemann, Ulrich W. & Hausman, Warren H., 2004. "Optimal procurement strategies for online spot markets," European Journal of Operational Research, Elsevier, vol. 152(3), pages 781-799, February. [Downloadable!] (restricted)
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