Search results for "Demand amplification"

showing 2 items of 2 documents

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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Methodological Approach to Studying the dynamics of production networks: a Discrete Event Simulation Model

2013

This paper shows how discrete-event simulation represents an appropriate tool for approaching the dynamics of production networks. Three important factors influencing production network dynamics, specifically finite production capacity, manufacturing lead time, and its variability are discussed and a basic discrete-event simulation model is presented. Such model, which in its basic form represents a simple retail/distribution two-stage supply chain, is then extended in order to take into account those factors that can not be included in a classical control theoretical model.

Mathematical optimizationSupply chain dynamicsInformation Systems and ManagementOperations researchComputer scienceSupply chainDemand amplificationManufacturing lead-timeControl (management)Management Science and Operations ResearchNetwork dynamicsSettore ING-IND/35 - Ingegneria Economico-GestionaleManagement Information SystemsOrder (exchange)Simple (abstract algebra)Production (economics)Discrete-event simulationDiscrete event simulationLead time
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