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Pathway Variation Analysis (Pva): Modelling And Simulations, Nagesh Shukla, Sudi Lahiri, Darek Ceglarek
Pathway Variation Analysis (Pva): Modelling And Simulations, Nagesh Shukla, Sudi Lahiri, Darek Ceglarek
Nagesh Shukla
Maintaining a care pathway within a hospital to provide complex care to patients is associated with challenges related to variations from the pathway. This occurs due to ineffective decision-making processes, unclear process steps, the interactions, conflicting performance measures for speciality units, and the availability of resources. These variations from the care pathway or standard care delivery processes lead to longer patient waiting times and lower patient throughput. Traditional approaches to improve the pathway focus primarily on reducing variations within the care pathway such as bottlenecks or throughput within the pathway rather than examining variations from the care pathway. In this …
Feature-Based Optimal Sensor Distribution For Six-Sigma Variation Diagnosis In Multi-Station Assembly Processes, Nagesh Shukla, Darek Ceglarek, Manoj Tiwari
Feature-Based Optimal Sensor Distribution For Six-Sigma Variation Diagnosis In Multi-Station Assembly Processes, Nagesh Shukla, Darek Ceglarek, Manoj Tiwari
Nagesh Shukla
This paper presents a novel feature-based sensor distribution approach for root cause analysis and diagnosis of product 6-sigma variation faults in multi-station assembly processes. Traditional approaches in sensor distribution are based on the assumption that measurement points can be selected at arbitrary locations on the part or subassembly. This causes challenges such as difficult calibration of measurement system, increased errors of measured features, and lack of explicit relations between measured features and geometric dimensioning and tolerancing (GD&T). In the proposed approach, we develop methodology to maximize the number of measurement points that are placed at critical design features called Key …
Reducing Unwarranted Variation In Healthcare Service Delivery Systems: Key Issues, Research Challenges And Potential Solutions, Nagesh Shukla, Senevi Kiridena, Nishikant Mishra
Reducing Unwarranted Variation In Healthcare Service Delivery Systems: Key Issues, Research Challenges And Potential Solutions, Nagesh Shukla, Senevi Kiridena, Nishikant Mishra
Nagesh Shukla
There is a growing need worldwide to increase the quality and productivity of healthcare services delivery. To this end, analysing and reducing unwarranted variations in healthcare has attracted much attention in recent times. However, current modelling and simulation approaches to reduce unwarranted variations suffer from numerous limitations. Consequently, service improvement efforts have often failed to deliver expected results. This paper discusses the key issues associated with reducing unwarranted variations in hospital service delivery systems, and proposes a research framework that aims at overcoming these issues. In doing so, it highlights the need for: accurately and efficiently modelling complex service delivery …