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The purpose of this paper is to develop a guideline of the control procedure and tools depending on dominance pattern. In Lean Six Sigma (LSS) implementation, the control phase plays a vital role in sustaining the gains achieved from the improvement phase. The process control schemes should be developed by studying the process dominance pattern as suggested by Juran.

Discussion has been made on identification of various methods with the help of a few real life examples for effective LSS implementation.

The dominance pattern helps in identifying the control mechanism. However, with the advent of new business processes, the dominance pattern needs a little bit of modification.

The case studies mainly are from the manufacturing sector and one from the service sector, where authors have studied the control mechanism. There exists scope of future research in service sector for adequate representation.

The treatise provides a road map to the practitioners for an effective implementation of the control phase in LSS. It is also expected to provide the scope of future work in this direction for both researchers and practitioners.

This study aims to assess the effect of updating the Phase I data – to enhance the parameters' estimates – on the control charts' detection power designed to monitor social networks.

A dynamic version of the degree corrected stochastic block model (DCSBM) is used to model the network. Both the Shewhart and exponentially weighted moving average (EWMA) control charts are used to monitor the model parameters. A performance comparison is conducted for each chart when designed using both fixed and moving windows of networks.

Our results show that continuously updating the parameters' estimates during the monitoring phase delays the Shewhart chart's detection of networks' anomalies; as compared to the fixed window approach. While the EWMA chart performance is either indifferent or worse, based on the updating technique, as compared to the fixed window approach. Generally, the EWMA chart performs uniformly better than the Shewhart chart for all shift sizes. We recommend the use of the EWMA chart when monitoring networks modeled with the DCSBM, with sufficiently small to moderate fixed window size to estimate the unknown model parameters.

This study shows that the excessive recommendations in literature regarding the continuous updating of Phase I data during the monitoring phase to enhance the control chart performance cannot generally be extended to social network monitoring; especially when using the DCSBM. That is to say, the effect of continuously updating the parameters' estimates highly depends on the nature of the process being monitored.

Auxiliary power system is an indispensable part of the train; the auxiliary systems of both electric locomotives and EMUs mainly are powered by one of the two ways, which are either from auxiliary windings of traction transformers or from DC-link voltage of traction converters. Powered by DC-link voltage of traction converters, the auxiliary systems were maintained of uninterruptable power supply with energy from electric braking. Meanwhile, powered by traction transformers, the auxiliary systems were always out of power while passing the neutral section of power supply grid and control system is powered by battery at this time.

Uninterrupted power supply of auxiliary power system powered by auxiliary winding of traction transformer was studied. Failure reasons why previous solutions cannot be realized are analyzed. An uninterruptable power supply scheme for the auxiliary systems powered by auxiliary windings of traction transformers is proposed in this paper. The validity of the proposed scheme is verified by simulation and experimental results and on-site operation of an upgraded HXD3C type locomotive. This scheme is attractive for upgrading practical locomotives with the auxiliary systems powered by auxiliary windings of traction transformers.

This scheme regenerates braking power supplied to auxiliary windings of traction transformers while a locomotive runs in the neutral section of the power supply grid. Control objectives of uninterrupted power supply technology are proposed, which are no overvoltage, no overcurrent and uninterrupted power supply.

The control strategies of the scheme ensure both overvoltage free and inrush current free when a locomotive enters or leaves the neutral section. Furthermore, this scheme is cost low by employing updated control strategy of software and add both the two current sensors and two connection wires of hardware.

To study the effects of velocity correction schemes for a temperature transforming model (TTM) for convection controlled solid‐liquid phase‐change problem.

The effects of three different solid velocity correction schemes, the ramped switch‐off method (RSOM), the ramped source term method (RSTM) and the variable viscosity method (VVM), on a TTM for numerical simulation of convection controlled solid‐liquid phase‐change problems are investigated in this paper. The comparison is accomplished by analyzing numerical simulation and experimental results of a convection/diffusion phase‐change problem in a rectangular cavity. Model consistency of the discretized TTM is also examined in this paper. The simulation results using RSOM, RSTM and VVM in TTM are compared with experimental results.

In order to efficiently use the discretized TTM model and obtain convergent and reasonable results, a grid size must be chosen with a suitable time step (which should not be too small). Applications of RSOM and RSTM‐TTM yield identical results which are more accurate than VVM.

This paper provides generalized guidelines about the solid velocity correction scheme and criteria for selection of time step/grid size for the convection controlled phase change problem.

The main purpose of this paper is to propose a quasi-impedance source (QIS) converter fed switched reluctance motor (SRM) drive. The proposed converter topology is configured for DC link capacitance minimization and power factor (PF) correction.

A QIS converter is used as a front end converter to reduce the bulk capacitance requirement during current commutation and to decline the power ripple. To improve the PF with reduced total harmonic distortion at the input current, the PF current control loop is merged with the QIS converter control loop.

The overall SRM drive speed is regulated over a wide range by controlling the DC link voltage. The voltage regulation can be achieved by pulse width modulation of the QIS converter. Hence, the overall system efficiency has been improved by operating the proposed converter at a low switching frequency. Moreover, the proposed QIS converter uses an advanced repetitive controller to achieve voltage regulation and fewer ripples in torque.

The steady state and dynamic analyzes have been performed on the proposed drive topology. The performance of the proposed topology has been simulated through MATLAB/Simulink environment. A hardware prototype with a processor of Xilinx SPARTAN 6 field-programmable gate array has been used to validate the experimental response with the simulation results.

The purpose of this paper is to propose a new non-parametric phase I control chart for the problem of non-linear profile outlier detection.

The proposed non-parametric method is based on a modified Hausdorff distance, which does not require a restrictive assumption on the form of profiles. By obtaining the distance between each profile and the baseline profile, the authors introduced an iterative optimization clustering algorithm to identify outliers by clustering distances.

The simulation results show that the proposed method can distinguish outliers for structural changes of non-linear profiles. The authors also present a real industrial case example to highlight how practitioners can implement and make use of the proposed control chart in outlier detection applications, and it achieves higher accuracy in the outlier detection of complex profiles.

The research results of this paper can be applied to any manufacturing or service system whose quality characteristics are characterized by non-linear profiles. This new approach provides quality practitioners a better decision-making tool for non-linear profile outlier detection.

Due to the complexity of real-world applications, the non-linear profiles monitoring problem is yet to be addressed. However, the related research still remains rare. And the authors’ proposed non-linear profile control chart, which does not require a restrictive assumption on the form of profiles, shows its applicability and superiority in simulation study and real-world case.

The purpose of this paper is to generate a virtual knee angle reference to be followed by a knee prosthesis control, using an adaptive central pattern generator (CPG). Also, to study the feasibility of this approach to implement a continuous control strategy on the prosthesis.

A CPG based on amplitude controlled phase oscillators (ACPOs) to track the current percentage of gait cycle on the prosthesis is proposed. Then, the virtual knee angle reference is generated along gait cycle, by interpolation with the corresponding angle of a sound knee. The structure and coupling of the CPG, as well as the control strategy are presented.

The coupling of the CPG with real gait on the prosthesis was proven, regardless of gait speed. Also, it was found that the maximum knee angle reached during walking is proportional to gait speed. Finally, generation of virtual knee angle reference to be followed by a prosthesis is demonstrated.

As only one event detected along gait cycle was used to update the CPG phase, the response to gait speed changes might be slow. Updating the CPG with more events remains for a future work.

The coupling of the CPG with real gait on the prosthesis results in a continuous gait cycle tracker, useful for any control strategy to be applied.

It is the first time a bio‐inspired concept as CPGs is applied to the prosthetic field. This could mean the beginning of a new era of cybernetic prostheses, which reproduce the lost limb and also the control functions of it.

A control chart is a widely used Six Sigma DMAIC process measure and control phase tool. The purpose of this paper is to contribute to the body of knowledge on applying statistical process control (SPC) methods in a pulp mill production organization and the special issues that need to be considered in this context.

The method for obtaining the results was action research, where the researcher actively participated in implementing changes in organization. Procedures to detect and further handle the deviations in a pulp mill organization were created and implemented. A cause and effect diagram used in finding causes and storing the accumulated knowledge was modified to make it applicable to this environment.

Factors for successful SPC implementation were found to be in line with earlier findings in other industries. SPC can act as a means of organizational learning in the pulp and paper industry. Specific problems in the pulp and paper industry concerning the use of SPC were the autocorrelation of data, excessive measurement variation, and limited process knowledge. The effectiveness of SPC in a pulp mill was shown both in the decreasing amount of deviations and in the positive opinions of the employees.

Findings are generated from a single case, so general applicability is limited.

This case study can be used as a benchmark by other practitioners in the industry.

This article provides new knowledge in the context of implementing SPC in a pulp and paper manufacturing organization.

The purpose of this paper is to establish a means to control the design process in engineering organization that produce engineering deliverables for construction projects. The intended control is to deliver construction packages on time and within budget while controlling productivity of engineers and support staff involved in the design process.

Control charts have been used to monitor design progress and for auditing business processes, process adjustments and to alert for action to rectify a schedule risk. Management has benefited from control charts to fine‐tune operations ranging from bid proposal processing to final design delivery stages and to identify and prevent employee time waste in addition to tracking and forecasting design performance for efficient resource allocation.

These techniques helps in controlling development of engineering deliverables on budget and in detecting areas of low performance early enough for suitable corrective actions. Project six‐sigma has also improved as project progress advances; from 0.92 at 10 percent project phase to 1.74 at 90 percent project completion.

Future, research shall cover multi‐discipline project performance and other project management processes, like bidding, design development, design review, and project close‐out.

This paper demonstrates means to control design process in organizations dealing with construction projects like oil and gas, petrochemicals and power projects. Delays in the design process may cause adverse impact in downstream projects phases including construction, procurement, start‐up, production, and further affects business strategies and plans. Control charts and six sigma process levels helps delivering design projects within constraints.

Projects are one of the main ways used to develop organisations and turn their strategic initiatives into a reality. To support project management, several entities (e.g. associations, institutes, etc.) provide standards, guides and project management methodologies. However, despite its wide coverage of project management knowledge areas, standards currently have no specific processes focused on planning and evaluating success. The absence of these processes can limit the vision of managers and their teams on what most contributes to the success of a project. Aiming at contributing to fill this gap, this paper proposes the integration of success management processes in the ISO 21500 standard.

To develop the integration model, a Design Science Research approach was adopted for the construction and evaluation of the resulting artefact.

The result is an integrated model and insights for its application in practice. The model aims to help managers and their teams to identify which success management activities need to carry out and how to integrate them with the other processes of the ISO 21500 standard.

The integrated model was applied in only one project. Another limitation is the difficulty in comparing the results obtained due to the small number of works focused on success management (namely related to planning, measuring, controlling and reporting success in practice) and its integration with project management standards, guides and methodologies.

The integrated model, based on success management and the ISO 21500 standard, is an important and original contribution to understand and achieve success in projects. This promotes a new vision of balanced management, directing the management effort to the areas that effectively contribute to success in each project.