Queueing Theory -- Perturbation Analysis of M/M/1 Queue -- Series Expansions in Queues with Server Vacation -- Rapid Modelling in Manufacturing and Logistics -- Optimal management of equipments of the BMT Containers Terminal (Bejaia’s Harbor) -- Production Inventory Models for a Multi-product Batch Production System -- Dependency Between Performance of Production Processes and Variability – an Analysis Based on Empirical Data -- Improving Business Processes with Rapid Modeling: the Case of Digger -- Rapid Modelling in Services -- Quick Response Service: The Case of a Non-Profit Humanitarian Service Organization -- Applying Operations Management Principles on Optimisation of Scientific Computing Clusters -- Increasing Customer Satisfaction in Queuing Systems with Rapid Modelling -- Rapid Modelling of Patient Flow in a Health Care Setting: Integrating Simulation with Lean -- Rapid Modelling and Financial Performance Measurement -- Evaluation of the Dynamic Impacts of Lead Time Reduction on Finance Based on Open Queueing Networks -- The Financial Impact of a Rapid Modeling Issue: the Case of Lot Sizing -- Product and Process Development -- A Flexibility Based Rapid Response Model in Ready to Wear Sector, in Turkey -- Modular Product Architecture: The Role of Information Exchange for Customization -- Supply Chain Management -- The Impact of Technological Change and OIPs on Lead Time Reduction -- Global Supply Chain Management and Delivery Performance: a Contingent Perspective -- In-Transit Distribution Strategy: Hope for European Factories? -- Effect of component interdependency on inventory allocation -- Dynamic Nature and Long-Term Effect of Events on Supply Chain Confidence -- Evaluation of Supply Process Improvements Illustrated by Means of a JIS Supply Process from the Automotive Industry -- Information Needs for Decisions on Supply Chain Design -- A Conceptual Framework for the Integration of Transportation Management Systems and Carbon Calculators -- A Conceptual Framework for the Analysis of Supply Chain Risk.

Rapid Modelling and Quick Response is a proceedings volume of selected papers presented at the Second Rapid Modelling Conference “Quick Response – Intersection of Theory and Practice” presents new research developments, as well as business/teaching cases in the field of rapid modelling and quick response linked with performance improvements (based on lead time reduction, etc., as well as financial performance measures). This volume is a sequel to the First Rapid Modelling Conference proceedings volume that focused on rapid modelling for increasing competitiveness. The main focus of this second proceedings volume “Rapid Modelling and Quick Response – Intersection of Theory and Practice” is the transfer of knowledge from theory to practice, providing the theoretical foundations for successful performance improvement. Furthermore, illustrations will be given by teaching/business cases, as well as by success stories about new software tools in this field, and new approaches. The interested reader (researcher, as well as practitioner) will gain a good overview on new developments in this field. This conference volume is a must-have for innovative production managers, as well as for managers of service-providing processes. The theoretical, as well as the empirical/practical, pieces of work presented will change the mindset of the interested reader. Rapid Modelling and Quick Response will also contribute to the scientific communities of operations management, production management, supply chain management, industrial engineering and operations research. This volume and the presented research work, teaching/business cases, as well as software tools, can be also used for the education of students and executive managers. Rapid Modelling and Quick Response is supported by the SEVENTH FRAMEWORK PROGRAMME - THE PEOPLE PROGRAMME - Industry-Academia Partnerships and Pathways Project (No. 217891) “How revolutionary queuing based modelling software helps keeping jobs in Europe. The creation of a lead time reduction software that increases industry competitiveness and supports academic research."