A supply chain performance analysis of a pull inspired supply strategy faced to demand uncertainties
| Autor: | Caroline Thierry, Guillaume Marquès, Didier Gourc, Jacques Lamothe |
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| Přispěvatelé: | Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Centre Génie Industriel (CGI), IMT École nationale supérieure des Mines d'Albi-Carmaux (IMT Mines Albi), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (IRIT-ADRIA), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Toulouse - Jean Jaurès (UT2J) |
| Rok vydání: | 2009 |
| Předmět: |
Risk
[SPI.OTHER]Engineering Sciences [physics]/Other Computer science Supply chain 0211 other engineering and technologies Distribution (economics) Supply chain collaboration Context (language use) 02 engineering and technology [MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA] Industrial and Manufacturing Engineering Artificial Intelligence Order (exchange) Pull 0502 economics and business Vendor-managed inventory Production (economics) Marketing Adaptation (computer science) 021103 operations research business.industry 05 social sciences Uncertainty Risk analysis (engineering) Vendor Managed Inventory business Simulation 050203 business & management Software |
| Zdroj: | Journal of Intelligent Manufacturing Journal of Intelligent Manufacturing, Springer Verlag (Germany), 2012, 23 (1), pp.91-108. ⟨10.1007/s10845-009-0337-z⟩ |
| ISSN: | 1572-8145 0956-5515 |
| DOI: | 10.1007/s10845-009-0337-z |
| Popis: | International audience; Vendor Managed Inventory (VMI) is currently seen as a short-term replenishment pull system. Moreover, VMI is usually synonymous with a distribution context and stable demand. However, industrial partners are faced with uncertainty in the context of a B to B relationship. Thus, an adaptation of the actors' planning processes is needed and the question is posed of the interest of VMI in a context of uncertain demand. The purpose of this paper is firstly to analyze the link between VMI and pull logic. Secondly, we explore the extension of VMI notions to the relationship between industrial partners and we confront VMI with uncertain demand in terms of trend, vision of the trend and variability in order to verify the usual stable demand assumption. We also present an integration of VMI into a simulation tool called LogiRisk that we have developed for the evaluation of risks of in supply chain collaboration policies, and a small case study. |
| Databáze: | OpenAIRE |
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