Search results for "BULLWHIP"

showing 10 items of 21 documents

Threshold rule and scaling behavior in a multi-agent supply chain

2010

In this paper an agent-based model of self organized criticality is developed in a network economy characterized by lead time and a threshold behavior of firms. Instead of considering the aggregate production of the economy as a whole, we focus on both the propagation and amplification effects of a demand shock in the sectorial productions of a multi-agent supply chain. We study a static network structure representing a relation of firms in a lower-upper stream in an industrial organization. In our model, the individual (R, nQ) policies play an important role in generating a propagation effect across the different layers of the economy, and the propagation turns into the large fluctuations …

Agent-based modelComputer scienceSupply chainSelf organized criticalityagent-based modelNetwork economySelf-organized criticalityReorder pointbullwhip effectSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Demand shockBullwhip effectEconometricsLead time
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Arborescent Supply Chains: the effect of OUT policies

2013

The objective of this paper is to analyze the impact of the smoothing replenishment rules on a divergent supply chain. To this purpose we simulate a classical four echelon serially- linked supply chain model and an arborescent supply chain model under two scenarios, i.e. classical OUT and smoothing replenishment rule. We show that the divergent supply chain structure always performs worse than the serial supply chain and how smoothing the order pattern may decrease this discrepancy.

Arborescent supply chain multi-agent based simulation bullwhip effectSettore ING-IND/35 - Ingegneria Economico-Gestionale
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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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The influence of reverse flow on the dynamics of closed-loop supply chains

2014

The purpose of this paper is to study the impact of reverse logistics’ factors on the order and inventory variance amplification in a closed-loop supply chain. We adopt a difference equation math approach for analysing a closed-loop supply chain. Results show how the return flow positively affects both the inventory variance and the bullwhip effect independently of the number of echelons. On the contrary, an increasing remanufacturing lead-time negatively affects both the two metrics studied independently of the above mentioned settings. However, when the number of echelons increases, the benefit provided by the return flow tends to decrease.

Bullwhip effect Closed-Loop supply chain Reverse LogisticsSettore ING-IND/35 - Ingegneria Economico-Gestionale
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A Simulation Model of a Tandem Coordinated Supply Chain

2010

This paper presents a study of a coordinated production inventory-system. In the proposed model, any echelon considers its successors as part of its inventory system and generates the replenishment order on the basis of operational information of its partners. We show that the coordinated decision making allows elimination of information distortion along the chain. Furthermore, we show how the bottom-up transmission of inefficiencies, typical of traditional supply chains, is avoided.

Chain (algebraic topology)Transmission (telecommunications)Operations researchOrder (exchange)Supply chainBullwhip effectEconomicsContinuous simulationProduction (economics)Distortion (economics)SSRN Electronic Journal
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Inventory record inaccuracy in supply chains: the role of workers' behavior

2014

Purpose – The purpose of this paper is to explore the effect of inventory record inaccuracy due to behavioral aspects of workers on the order and inventory variance amplification. Design/methodology/approach – The authors adopt a continuous-time analytical approach to describe the effect of inbound throughput on the inventory and order variance amplification due to the workload pressure and arousal of workers. The model is numerically solved through simulation and results are analyzed with statistical general linear model. Findings – Inventory management policies that usually dampen variance amplification are not effective when inaccuracy is generated due to workers’ behavioral aspects. Sp…

General linear modelComputer scienceSupply chainInventory record inaccuracy Behavioral operations Bullwhip effect Workload pressure ArousalTransportationWorkloadVariance (accounting)Settore ING-IND/35 - Ingegneria Economico-GestionaleManagement of Technology and InnovationBullwhip effectEconometricsRange (statistics)Operations managementSensitivity (control systems)Throughput (business)
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On the Bullwhip Avoidance Phase: The Synchronised Supply Chain

2012

Abstract The aim of this paper is to analyse the operational response of a Synchronised Supply Chain (SSC). To do so, first a new mathematical model of a SSC is presented. An exhaustive Latin Square design of experiments is adopted in order to perform a boundary variation analysis of the main three parameters of the periodic review smoothing ( S ,  R ) order-up-to policy: i.e., lead time, demand smoothing forecasting factor, and proportional controller of the replenishment rule. The model is then evaluated under a variety of performance measures based on internal process benefits and customer benefits. The main results of the analysis are: (I) SSC responds to violent changes in demand by re…

Information Systems and ManagementSupply chain managementGeneral Computer ScienceOperations researchComputer scienceSupply chainService managementManagement Science and Operations ResearchSettore ING-IND/35 - Ingegneria Economico-GestionaleIndustrial and Manufacturing EngineeringModeling and SimulationBullwhip effectInventory Supply chain management Simulation Collaboration Information sharingBullwhipLead time
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The effect of inventory record inaccuracy in information exchange supply chains

2015

Abstract The goal of this paper is to quantify the impact of Inventory Record Inaccuracy on the dynamics of collaborative supply chains, both in terms of operational performance (i.e. order and inventory stability), and customer service level. To do so, we model an Information Exchange Supply Chain under shrinkage errors in the inventory item recording activity of their nodes, present the mathematical formulation of such supply chain model, and conduct a numerical simulation assuming different levels of errors. Results clearly show that Inventory Record Inaccuracy strongly compromises supply chain stability, particularly when moving upwards in the supply chain. Important managerial insights…

Information sharingSupply chain managementBullwhip effectInformation Systems and ManagementGeneral Computer ScienceOperations researchInformation sharingSupply chainService managementSystem dynamicSystem dynamicsManagement Science and Operations ResearchSettore ING-IND/35 - Ingegneria Economico-GestionaleCollaborationIndustrial and Manufacturing EngineeringSystem dynamicsBullwhip effectModeling and SimulationEconomicsInventory theoryBullwhip effect; Collaboration; Information sharing; Supply chain management; System dynamics; Management Science and Operations Research; Modeling and Simulation; Information Systems and ManagementOperations managementSupply chain managementInformation exchange
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On the Bullwhip Avoidance Phase: supply chain collaboration and order smoothing

2009

This paper provides an assessment of the impact of collaboration and smoothing replenishment rules on supply chain operational performance and customer service level. Three supply chain configurations (i.e. Traditional, Information Exchange and Synchronised) in which orders are generated by smoothing (S, R) inventory control policies are studied for different proportional controllers. A supply chain stress test is performed through a sudden and intense change in demand. A structured and extended supply chain assessment framework is adopted. The main conclusions of this paper are the following. (i) The impact of Supply Chain Collaboration on overall supply chain performance is greater than t…

Inventory controlEngineeringService qualityOperations researchbusiness.industryStrategy and ManagementSupply chainService managementManagement Science and Operations ResearchDemand chainIndustrial and Manufacturing EngineeringBullwhip effectOperations managementBullwhipbusinessSmoothingInternational Journal of Production Research
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Inventory policies and information sharing in multi-echelon supply chains

2011

The aim of this article is to show how to modify a replenishment rule in relation to the operational information shared by suppliers. More specifically, we present a model of an Automatic Pipeline Variable Inventory and Order-Based Production Control System rule for a multi-echelon supply chain characterised by different increasing levels of shared information. A numerical study is presented to underline the performance differences for three variants of the smoothing order rule in terms of bullwhip reduction, inventory stability and operational and customer responsiveness. Results show how the effectiveness of a smoothing replenishment rule depends on the level of information sharing.

Inventory controlOperations researchRelation (database)Computer scienceStrategy and ManagementInformation sharingSupply chainManagement Science and Operations ResearchPipeline (software)Industrial and Manufacturing EngineeringComputer Science ApplicationsMicroeconomicsVariable (computer science)BullwhipSmoothingProduction Planning & Control
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