scholarly journals Using Sensor-Based Quality Data in Automotive Supply Chains

Machines ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 53 ◽  
Author(s):  
Michael Teucke ◽  
Eike Broda ◽  
Axel Börold ◽  
Michael Freitag
Keyword(s):  
Supply Chains ◽  
Discrete Event ◽  
Transport Processes ◽  
Environmental Data ◽  
Sensor Data ◽  
Quality Data ◽  
Event Management ◽  
Event Simulation ◽  
Mutual Relations ◽  
Automotive Supply

In many current supply chains, transport processes are not yet being monitored concerning how they influence product quality. Sensor technologies combined with telematics and digital services allow for collecting environmental data to supervise these processes in near real-time. This article outlines an approach for integrating sensor-based quality data into supply chain event management (SCEM). The article describes relationships between environmental conditions and quality defects of automotive products and their mutual relations to sensor data. A discrete-event simulation shows that the use of sensor data in an event-driven control of material flows can keep inventory levels more stable. In conclusion, sensor data can improve quality monitoring in transport processes within automotive supply chains.

Network resilience modelling: a New Zealand forestry supply chain case

2020 ◽  
Vol 31 (2) ◽  
pp. 291-311
Author(s):  
Paul Childerhouse ◽  
Mohammed Al Aqqad ◽  
Quan Zhou ◽  
Carel Bezuidenhout
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Supply Chains ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Network Resilience ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Event Simulation ◽  
Export Supply

PurposeThe objective of this research is to model supply chain network resilience for low frequency high impact disruptions. The outputs are aimed at providing policy and practitioner guidance on ways to enhance supply chain resilience.Design/methodology/approachThe research models the resilience of New Zealand's log export logistical network. A two-tier approach is developed; linear programming is used to model the aggregate-level resilience of the nation's ports, then discrete event simulation is used to evaluate operational constraints and validate the capacity of operational flows from forests to ports.FindingsThe synthesis of linear programming and discrete event simulation provide a holistic approach to evaluate supply chain resilience and enhance operational efficiency. Strategically increasing redundancy can be complimented with operational flexibility to enhance network resilience in the long term.Research limitations/implicationsThe two-tier modelling approach has only been applied to New Zealand's log export supply chains, so further applications are needed to insure reliability. The requirement for large quantities of empirical data relating to operational flows limited the simulation component to a single regionPractical implicationsNew Zealand's log export supply chain has low resilience; in most cases the closure of a port significantly constrains export capacity. Strategic selection of location and transportation mode by foresters and log exporters can significantly enhance the resilience of their supply chains.Originality/valueThe use of a two-tiered analytical approach enhances validity as each level's limitations and assumptions are addressed when combined with one another. Prior predominantly theoretical research in the field is validated by the empirical investigation of supply chain resilience.

scholarly journals Disruptions in Information Flow: A Revenue Costing Supply Chain Dilemma

2008 ◽  
Vol 3 (1) ◽  
pp. 30-40
Author(s):  
Albert Munoz ◽  
Michael Clements
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Information Flow ◽  
Discrete Event ◽  
Accurate Information ◽  
Lost Sales ◽  
Sales Revenue ◽  
Event Simulation ◽  
Delay Times ◽  
Flow Of Information

The integration of supply chains as a mechanism for value creation is largely dependent on continuous flow of real time accurate information from the customer back upstream to the manufacturer. This ideal is often unachievable when disruptions in the flow of information and materials are known to regularly occur in some manufacturing supply chains. This paper focuses on quantifying the potential lost sales revenue attributed to information and material delays in a supply chain using discrete event simulation of the Beer Distribution Game. Results indicate a direct relationship between lost sales revenue and delay times. When exposed to several levels of delay such disruptions will cause loss of sales revenue. Interestingly, data collected suggests that information delays play a larger role than material delays as a contributor to lost sales revenue. This study provides a solid platform to further justify the implementation of technology such as RFID in an effort to decrease the level of lost sales revenue in manufacturing supply chains. The implementation of technologies that will increase the speed of information flow throughout a supply chain as well as increasing visibility of inventory in the supply chain can assist to minimise lost sales.

Steuerung von Supply Chains durch Qualitätsevents*/Conrolling supply chains by quality events

2018 ◽  
Vol 108 (04) ◽  
pp. 271-275
Author(s):  
D. Sommerfeld ◽  
M. Teucke ◽  
M. Freitag
Keyword(s):  
Supply Chains ◽  
Discrete Event Simulation ◽  
Environmental Conditions ◽  
Discrete Event ◽  
Mobile Sensors ◽  
Electronic Control ◽  
Event Simulation ◽  
Automotive Components ◽  
Control Units ◽  
Delivery Reliability

Umweltbedingungen wie Hitze, Feuchtigkeit oder Stoß können beim Transport von sensiblen automobilen Komponenten, wie zum Beispiel Steuergeräten, Qualitätsdefekte verursachen. Produktbegleitende Sensoren können solche qualitätsrelevante Ereignisse laufend erfassen und weiterleiten. Das erlaubt eine zeitnahe Reaktion, zum Beispiel die sofortige Nachbestellung defekter Teile während des Transports. Eine ereignisorientierte Simulationsstudie zeigt, dass die Liefertreue erhöht und Lagerbestandsschwankungen verringert werden können.   Environmental conditions such as heat, humidity or shock can cause quality defects in automotive components like electronic control units during transport. Mobile sensors accompanying these components can measure and communicate such quality-relevant events. This allows for timely reaction, e.g. the immediate reorder of defect goods that are still en route. A discrete-event simulation shows that this improves delivery reliability and reduces stock fluctuations.

scholarly journals Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains

2021 ◽  
Author(s):  
Dmitry Ivanov
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Inventory Management ◽  
Supply Chain Coordination ◽  
Discrete Event ◽  
Inventory Costs ◽  
Event Simulation ◽  
Inventory Dynamics ◽  
Disruption Recovery ◽  
The Impact

AbstractEntering the COVID-19 pandemic wreaked havoc on supply chains. Reacting to the pandemic and adaptation in the “new normal” have been challenging tasks. Exiting the pandemic can lead to some after-shock effects such as “disruption tails.” While the research community has undertaken considerable efforts to predict the pandemic’s impacts and examine supply chain adaptive behaviors during the pandemic, little is known about supply chain management in the course of pandemic elimination and post-disruption recovery. If capacity and inventory management are unaware of the after-shock risks, this can result in highly destabilized production–inventory dynamics and decreased performance in the post-disruption period causing product deficits in the markets and high inventory costs in the supply chains. In this paper, we use a discrete-event simulation model to investigate some exit strategies for a supply chain in the context of the COVID-19 pandemic. Our model can inform managers about the existence and risk of disruption tails in their supply chains and guide the selection of post-pandemic recovery strategies. Our results show that supply chains with postponed demand and shutdown capacity during the COVID-19 pandemic are particularly prone to disruption tails. We then developed and examined two strategies to avoid these disruption tails. First, we observed a conjunction of recovery and supply chain coordination which mitigates the impact of disruption tails by demand smoothing over time in the post-disruption period. Second, we found a gradual capacity ramp-up prior to expected peaks of postponed demand to be an effective strategy for disruption tail control.

scholarly journals SELECTED ASPECTS OF SIMULATION MODELLING OF INTERNAL TRANSPORT PROCESSES PERFORMED AT LOGISTICS FACILITIES

2014 ◽  
Vol 30 (2) ◽  
pp. 43-56 ◽  
Author(s):  
Marek Karkula
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Simulation Modelling ◽  
Transport Processes ◽  
Transport Costs ◽  
Event Simulation ◽  
Cross Docking ◽  
The Right ◽  
Internal Transport

The transport is an important part of logistic systems. Improper management of transport operations may contribute to the low level of the usage of vehicles and to high transport costs, as well as to the formation of unnecessary high inventory at each location of storage, as well as prolonged time of order realization and not full use of company capacity. It is therefore important the appropriate dimensioning, planning of the transport system and performed transport operations so as to allow the supply of certain goods at the right time and the amount to the appropriate points of the system. The article presents the methods of transport operations modelling, taking into account different criteria based on discrete event simulation. In the article the case study of modelling transport operations in the small cross-docking centre is also presented

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