0000000000419738

AUTHOR

Roberto Dominguez

showing 2 related works from this author

Insights on Partial Information Sharing in Supply Chain dynamics

2015

This paper provides an assessment of partial Information Sharing (IS) in Supply Chain (SC). We study the dynamics of collaborative multi-echelon structure, characterized by an increasing level of information visibility among partners. To do so, we mathematically model six four-echelon serial SCs via difference equations and conduct numerical simulations on the basis of a robust design of experiment. Results shows how (1) as the extent of IS increases, the performance of whole SC improves as well, and (2) the impact of IS depends not on which particular members are involved but on the number of collaborative members.

Information managementStructure (mathematical logic)demand amplificationANOVA; asymmetric information sharing; demand amplification; simulation; supply chain collaboration; supply chain dynamics; Strategy and Management1409 Tourism Leisure and Hospitality Management; Industrial and Manufacturing EngineeringMathematical optimizationsupply chain dynamicsKnowledge managementANOVAsupply chain dynamicComputer sciencebusiness.industryInformation sharingSupply chainStrategy and Management1409 TourismLeisure and Hospitality ManagementVisibility (geometry)supply chain collaborationNumerical modelsasymmetric information sharingsimulationSettore ING-IND/35 - Ingegneria Economico-GestionaleIndustrial and Manufacturing EngineeringRobust designDynamics (music)business
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Demand Sharing Inaccuracies in Supply Chains: A Simulation Study

2018

We investigate two main sources of information inaccuracies (i.e., errors and delays) in demand information sharing along the supply chain (SC). Firstly, we perform a systematic literature review on inaccuracy in demand information sharing and its impact on supply chain dynamics. Secondly, we model several SC settings using system dynamics and assess the impact of such information inaccuracies on SC performance. More specifically, we study the impact of four factors (i.e., demand error, demand delay, demand variability, and average lead times) using three SC dynamic performance indicators (i.e., bullwhip effect, inventory variability, and average inventory). The results suggest that demand …

Article SubjectGeneral Computer ScienceIMPACTComputer scienceSupply chain0211 other engineering and technologiesINFORMATION DISTORTIONINVENTORYDELAYS02 engineering and technologyERRORSlcsh:QA75.5-76.95Bullwhip effect0202 electrical engineering electronic engineering information engineeringEconometricsPERSPECTIVE021103 operations researchMultidisciplinaryInformation sharingContrast (statistics)BULLWHIPPOLICYSettore ING-IND/35 - Ingegneria Economico-GestionaleINCENTIVESLow demandMODEL020201 artificial intelligence & image processinglcsh:Electronic computers. Computer sciencePerformance indicatorComplexity
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