Operations Research, Systems Engineering and Industrial Engineering Commons^™

Six Sigma, Sustainability, And It Management: A Research Review And Discussion Of Future Directions, Manal Alduraibi, Timothy Winders, Chad Laux

International Conference on Lean Six Sigma

Abstract

Purpose- Six Sigma is based upon quality improvement by finding the root cause and refining processes to the precision of process outcomes. The purpose of this research was to conduct a systematic literature review (SLR) to explore the Six Sigma techniques and information technology (IT) management concepts to identify the IT management principle's impact on the sustainability of Six Sigma project efforts and identify the gaps that are essential to be addressed through further research. This research also discusses the principles of IT management upon the influence on Six Sigma projects, and subsequent contribution to organizational economic sustainability. An …

The Application Of Measures Of Lean Production For Services, Willem Salentijn, Jiju Antony, Chad Laux

International Conference on Lean Six Sigma

This paper gives insights on how to measure the degree of lean for services and explores existing instruments, proposing adaptions on an existing instrument, developed for production.

Sustaining Continuous Improvement In Public Sector Services Through Double Loop Learning, Chris Buckell Msc, Mairi Macintyre Assoc. Prof.

International Conference on Lean Six Sigma

Abstract

Purpose: Public Service Organisations (PSOs) are facing continuing funding challenges and increased pressure to maintain and improve service delivery with fewer resources. One response, with the promise of improving efficiency rather than cutting services, has been to implement Continuous Improvement (CI) but success has been sporadic and unpredictable. The well documented and pervasive CI methodologies in PSOs, including Lean and Six Sigma, have general agreement across practitioners and scholars alike, thus the reasons behind their potted success must lie elsewhere, in the culture or the environment perhaps? This work explores the wider contextual issues of CI implementation with the …

From Letters To Logistics - The Enabling Role Of A Lean Transformation Programme In A National Postal Service: The Case Of An Post, Ireland, Seamus O'Reilly, Leadiing Edge Group, An Post

International Conference on Lean Six Sigma

From Letters to Logistics - The enabling role of a lean transformation programme

in a national postal service: The case of An Post, Ireland

Seamus O’Reilly (Cork University Business School), David Murray (An Post) and Joe Aherne (Leading Edge Group)

Abstract

Purpose

This paper investigates the role of a lean transformation programme in supporting the transition of a national postal (mail) service from a traditional letter delivery service to a competitive parcel delivery service.

Methodology

Given the objective an intrinsic case study (Stake, 2005) approach was adopted, as this specific case was of interest. To support this approach the researchers …

Improve Outcomes In Lean Six Sigma With Servant Leadership, David W. Hoffa, Chad Laux, Manal Alduraibi

International Conference on Lean Six Sigma

1. Purpose

The purpose of this study was to explore lean leadership within Lean Six Sigma (LSS). The objective of this paper was to explore how LSS program success might be improved by focusing Black Belt efforts on mentoring Green Belts with a servant leadership model. The importance of Green Belt projects is typically overlooked in the literature. The effects of prioritizing the development of Green Belts and building a culture of continuous improvement over the traditional Black Belt project focus is explored.

2. Design/Methodology/Approach

The methodology of this paper is inspired by the authors’ field experiences in managing LSS …

Waste As A Product Of Organisational Culture, Dobrochna Sztajerska, Karolina Pawlusiak

International Conference on Lean Six Sigma

The organisational culture was subjected to studies for many years (Schein, 1983; Svyantek and DeShon, 1993; Sułkowski 2001, Chmielewska-Muciek 2009), so was the muda (waste) concept (Womack and Jones, 1996; Rother and Shook, 2003; Liker, 2003; Lisiecka and Burka, 2015). However, there is no research linking these two constructs, especially when it comes to looking for specific waste depending on the organisational culture.

Six Sigma And Lean Approach For Enhanced Process Value Chain, Maryam Zulfiqar

International Conference on Lean Six Sigma

Abstract

This research highlight the different aspects of implementing lean and six-sigma approach, their contrasting features and integration in manufacturing organizations. Qualitative research method has been used to conduct this research as the defined period of time for the research was limited. This method was pertinent for the deep analysis of literature and case studies of concerned approaches. It helped to conduct the research in a subjective manner. The use of secondary data saved time from preparing the questionnaires or surveys also the ethical approval from the University of the West of Scotland was not required. Descriptive feature of qualitative …

Lean Six Sigma As An Enabler For Healthcare Operational Excellence In Covid-19, Olivia Mcdermott Dr, Antony Jiju

International Conference on Lean Six Sigma

1. Purpose -This paper aims to present the results of a qualitative research interview study on the utilization and importance of Lean Six Sigma methods in the Healthcare sector in COVID-19 and in pandemics in general.
2. Design/methodology/approach -a qualitative interview approach was utilised by interviewing leading Lean Six Sigma academics and practitioners who are expert in and have experience in Lean Six Sigma.
3. Findings – Lean Six Sigma methods are proven and can be utilised in pandemic situations to improve efficiency and resilience in the healthcare system and readiness for pandemics.
4. Research limitations/implications - One limitation of this research was that …

Applying Lean Six Sigma And Systematic Layout Planning To Improve Patient Transportation Equipment Storage In An Acute Care Hospital, Sandra Furterer, Pratheeka Kancharla

International Conference on Lean Six Sigma

Purpose:

The purpose of this project was to optimize the patient transportation process at an acute care hospital to achieve reduced transportation times.

Methodology:

A detailed Lean Six Sigma study on the patient transport and equipment handling processes helped to determine possible ways to reduce the equipment handling time which eventually reduces the patient transportation time. The Systematic Layout Planning (SLP) approach usually applied in manufacturing environments was used to identify which patient transport equipment was needed to be stored in which locations throughout the hospital footprint. The assignment of equipment to locations was determined based on frequency of use, …

Sos Explorer Application With Fuzzy-Genetic Algorithms To Assess An Enterprise Architecture -- A Healthcare Case Study, Josh Goldschmid, Vinayaka Gude, Steven Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

Kevin Dooley (1997), defined Complex Adaptive System (CAS) as a group of semi-autonomous agents who interact in interdependent ways to produce system-wide patterns, such that those patterns then influence behavior of the agents. A healthcare system is considered as a Complex Adaptive System of system (SoS) with agents composed of strategies, people, process, and technology. Healthcare systems are fragmented with independent systems and information. The enterprise architecture (EA) aims to address these fragmentations by creating boundaries around the business strategy and key performance attributes that drive integration across multiple systems of processes, people, and technology. This paper uses a SoS …

Single-Image Super Resolution Using Convolutional Neural Network, William Symolon, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Increasing threats to U.S. national security satellite constellations have resulted in an increased interest in constellation resilience and satellite redundancy. CubeSats have contributed to commercial, scientific and government applications in remote sensing, communications, navigation and research and have the potential to enhance satellite constellation resilience. However, the inherent size, weight and power limitations of CubeSats enforce constraints on imaging hardware; the small lenses and short focal lengths result in imagery with low spatial resolution. Low resolution limits the utility of CubeSat images for military planning purposes and national intelligence applications. This paper implements a super-resolution deep learning architecture and proposes …

Network Intrusion Detection System Using Deep Learning, Lirim Ashiku, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The widespread use of interconnectivity and interoperability of computing systems have become an indispensable necessity to enhance our daily activities. Simultaneously, it opens a path to exploitable vulnerabilities that go well beyond human control capability. The vulnerabilities deem cyber-security mechanisms essential to assume communication exchange. Secure communication requires security measures to combat the threats and needs advancements to security measures that counter evolving security threats. This paper proposes the use of deep learning architectures to develop an adaptive and resilient network intrusion detection system (IDS) to detect and classify network attacks. The emphasis is how deep learning or deep neural …

The Revenue Operations (Revops) Framework: A Qualitative Study Of Industry Practitioners., Oliviero Mottola

Dissertations and Theses

In recent years Revenue Operations or RevOps has emerged in professional circles as a new approach to manage Sales, Marketing and Customer Success teams in the context of b2b sales. In practitioner circles, RevOps definitions range from the increased collaboration of the three job functions to an all-out creation of job function within organizations. While the subject of interdepartmental alignment has been covered extensively in academia (albeit not exhaustively), RevOps as a term and set of practices has received no attention and industry practitioners struggle to find a unified set of best practices that isn’t coming from organizations trying to …

Handling Of Stealthy Sensor And Actuator Cyberattacks On Evolving Nonlinear Process Systems, Henrique Oyama, Keshav Kasturi Rangan, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Cyberattacks on control systems in the chemical process industries cause concern regarding how they can impact finances, safety, and production levels of companies. A key practical challenge for cyberattack detection and handling using process information is that process behavior evolves over time. Conceivably, changes in process dynamics might cause some detection strategies to flag a change in the dynamics as an attack due to the new data appearing abnormal compared to data from before the dynamics changed. In this work, we utilize several case studies to probe the question of what might be the impacts, benefits, and limitations of cyberattack …

Online Classrooms During Covid-19 Pandemic: A Survey Of Industrial Engineering Instructors In Indonesia, Ardiyanto Ardiyanto, Taufik Mulyadin, Adinda Mutiara Santi, I Gusti Bagus Budi Dharma

Higher Learning Research Communications

Objectives: The purpose of this descriptive study was to understand the instructional methods, quality, and challenges in online instruction as industrial engineering instructors in Indonesia transitioned from face-to-face to fully online instruction during the COVID-19 pandemic.

Methods: Instructors were invited to complete a survey that requested perceptions on methods, perceived quality, and challenges regarding course delivery and assessment in their online classrooms.

Results: Despite the fact that more than half of the participants (59%) had some training, the majority (63%) reported that they had no experience in conducting online classrooms. Furthermore, more than 50% of the participants described the quality …

Multi-Objective Optimization Of Multi-Task Parallel Motorcycle Suspension System Parameters, Xiansheng Ran, Yang Jing, Luo Ling, Chen Kai

Journal of System Simulation

Abstract: Aiming at the comprehensive problem of wobble of front suspension system and weave of rear suspension system of large displacement motorcycle at medium and high speed, a multi-objective optimization scheme based on sensitivity analysis and approximate modeling is proposed. The motorcycle model is established and the dynamics simulation is carried out. The lateral acceleration of front wheel's centroid position, the yaw rate and roll rate of whole vehicle's centroid position, which characterize the wobble and weave are the targets. The sensitivity analysis of suspension system parameters and the approximate modeling are carried out. Based on the analysis results, …

Discussing Digital Twin From Of Modeling And Simulation, Zhang Lin, Lu Han

Journal of System Simulation

Abstract: The development and evolution of modeling and simulation technology, and its importance in scientific and technological progress are briefly reviewed. The intrinsic relation between digital twin and modeling and simulation is revealed by analyzing the background and concept of digital twin. The way to build and evaluate a digital twin based on modeling and simulation theoretical methods is discussed. to ensure the credibility.

Development And Prospect Of Simulation Research In China, Xiaogang Qiu, Duan Hong, Xie Xu, Mengna Zhu

Journal of System Simulation

Abstract: It is important to treat modeling and simulation (M&S) as a discipline to advance its development. In China, M&S has been researched and applied over 40 years, and is gradually becoming an independent discipline. Modeling and simulating the complex systems are the challenge, however, this also brings grand opportunity for M&S to widen and improve itself. Since 1980s, the M&S community in China has realized the broad applications of M&S, comprehended M&S from multiple perspectives, conducted extensive research on basic questions, and discussed the composition of the basic simulation theory. By summarizing these achievements, the future works that have …

Multiple Object Tracking And Kinematic Simulation For Short Track Speed Skating, Li Qi, Hanlin Mo, Xiangdong Wang, Li Hua

Journal of System Simulation

Abstract: Aiming at the problem that it is difficult to obtain the motion data of each athlete in the short track speed skating competition, an algorithm flow of multiple object tracking and kinematic simulation is proposed. A local matching metric is proposed to deal with the partial occlusion in monocular video and improve the tracking stability and robustness. The motion simulation method based on homography mapping and derivative of fitted curve is realized to estimate kinematic parameters such as velocity and acceleration. The experiments on Skating Track Multiple ObjectTracking (STMOT) verified the effectiveness and superiority of the proposed methods.

An Artificial Emotion Model For The Mutual Mapping Between Discrete State And Dimensional Space, Zhihang Tian, Xiaming Chen, Dazhi Jiang

Journal of System Simulation

Abstract: Emotional intelligence is an important component and development direction of machine intelligence. The purpose of artificial emotion model is to construct emotion models for machines to develope systematic ability of emotion understanding and expression. However, the existing methods are still insufficient in artificial emotion modeling ability. Aiming at the key factor of personalization in the construction of artificial emotion model, this paper proposes a method of mutual mapping between discrete emotion state and dimension space state, and constructs a machine personalized artificial emotion model based on Big Five personality model and emotion state transfer model. The relevant experimental results …

Decomposition Furnace Outlet Temperature Prediction Based On Elasticnet And Lstm, Guangyu Yu, Xueping Dong, Xiangmin Wang, Gan Min

Journal of System Simulation

Abstract: The outlet temperature of the decomposition furnace is a key indicator in the cement production process. Aiming at the problem that traditional prediction methods only consider the influence of wind, coal, and materials, a temperature prediction model of ElasticNet combined with Long Short-Term Memory (LSTM) neural network is proposed. The ElasticNet-LSTM export temperature prediction model is constructed by using the ElasticNet method to estimate the parameters of different variables, fully considering the influencing factors and realizing the variable screening, and analyzing the influence of the number of hidden layers and nodes on the accuracy of the neural network. Simulation …

A Shared Memory Based Parallel Hierarchical Interest Matching Algorithm, Wenjie Tang, Junwei Cheng, Yiping Yao, Zhu Feng

Journal of System Simulation

Abstract: Interest matching plays an important role in distributed simulation. However, because of huge number of simulation entities and frequent change of regions, interest matching consumes tremendous computation in large scale simulations. The ubiquity of multicore urges us to improve the performance of interest matching by parallelization. A shared memory based parallel hierarchical interest matching algorithm is propose to solve the problem. It maps subscribe regions into a full binary tree, and compares update regions with the tree in parallel. Due to the associative relationship between adjacent nodes, unnecessary comparisons can be eliminated. The experimental results demonstrate that the …

Time-Varying Ocean Channel Modeling Method, Yuehua Pei, Su Wei, Jincheng Tao, Xialin Jiang

Journal of System Simulation

Abstract: For the ocean channel with extremely complicated situation, an underwater acoustic channel modeling algorithm which can reflect the sparsity, time-varying and space-varying characteristics is proposed. Based on the prior information obtained from the sea trials in a specific sea area, the statistical characteristics of the channel impulses response structure with time and space are obtained. According to the obtained channel sparsities and non-zero position vectors’ statistics, a time-varying underwater acoustic channel model match the real environment is generated. Based on the measured data of marine communication in specific sea area, the simulation results show that the proposed …

Time-Delay Estimation For Mimo Delay Systems With Unknown Structures, Xuguang Wang, Mengjie Feng, Su Jie, Jiale Quan

Journal of System Simulation

Abstract: In the unknown-structure delay system modeling, time-delays lead to a mismatch between the system inputs and outputs on the timeline and cause low system modeling accuracy. A time-delay estimation method is proposed for the unknown-structure MIMO (Multiple-Input Multiple-Output) delay systems. A general mathematical description is given from the algebraic point of view, the delay correlation function is defined, and a quantitative constraint between system input-output and time-delay is constructed. A greedy time-delay search algorithm is introduced based on the delay correlation function. Simulation experiments and real data experiments show the availability of the proposed method.

Fault Detection Of Wind Turbine Bearing Based On Bo-Sdae Multi-Source Signal, Dinghui Wu, Zhichao Zhu, Xinhong Han

Journal of System Simulation

Abstract: Due to the discrepancy within signals from sensors of wind turbines caused by environmental interference, the fault detection results of wind turbine bearing will be affected and the multi-source signal fault diagnosis method is proposed to improve the reliability of fault detection. The time-domain and frequency-domain features of bearing vibration signals, noise signals and temperature signals are used for feature extraction,and then the features are transmitted to the stacked denoising autoencoders, which are optimized the hidden layer node structure by the Bayesian optimization algorithm to achieve multi-source signal feature fusion. Softmax function is used for classification. Experiments show that …

Rapid Development Technology Of Virtual Maintenance Training Simulation Model For Aviation Equipment, Rongqiang Li, Aibing Wen, Bin Hua, Jiajun Li, Jiang Bing

Journal of System Simulation

Abstract: Taking the practical application of the aircraft virtual maintenance training as the demand, the basic development process and technical means of the aircraft virtual maintenance training simulation model are analyzed, which solves the technical bottleneck in the popularization and application of the large-scale engineering. Aiming at the crucial problems such as the low efficiency in the development of maintenance training simulation model and the difficulties in updating the model, a rapid development process to support the large-scale engineering applications is proposed. The principles and implementation ways of three key technologies supporting the rapid development of virtual maintenance training simulation …

Explicit Model Predictive Control For Intelligent Vehicle Lateral Trajectory Tracking, Leng Yao, Shuen Zhao

Journal of System Simulation

Abstract: To ensure the accuracy, driving stability and online real-time of intelligent vehicle tracking control, an explicit model predictive tracking control method is designed. The cost functions and constraints for tracking accuracy and driving stability in the prediction time domain are proposed. The tracking control problem is transformed into the optimization of the active steering angle with dynamic disturbances. To improve the real-time performance, the traditional model predictive control system is transformed into an equivalent explicit polyhedral piece-wise affine (PPWA) system, and the active steering angle of front wheel is gained by the explicit law on parameter partition. Carsim and …

Day-Ahead Dispatching Model Of Source-Load Coordination Based On Response Behavior To Real-Time Pricing, Liu Yun, Han Song, Qiuli Huang

Journal of System Simulation

Abstract: In order to give full play to the regulating role of electricity price on the market, considering the difference of consumers' response behavior to real-time pricing, consumers are divided into short-term consumers, mixed consumers and long-term consumers, and the real-time pricing models of three types of consumers are constructed based on the electricity price elasticity matrix. On this basis, a day-ahead dispatching model of source-load coordination based on consumer’s response behavior to real-time pricing is established. With the help of the MOST toolkits in MATPOWER and the Mosek solver, the arithmetic analysis is developed in a modified IEEE 57-buses …

Multi-View Human Action Recognition Based On Deep Neural Network, Zhao Ying, Lu Yao, Zhang Jian, Qidi Liang, Long Wei

Journal of System Simulation

Abstract: A novel deep neural network named CNN+CA(Convolutional Neural Network plus Context Attention) model is constructed and a new recognition algorithm based on sequence matching is presented to improve the recognition accuracy of MVHAR (Multi-view Human Action Recognition). A CNN(Convolutional Neural Network) is designed to automatically learn multi-view fusion features; the CA (Context Attention) module is introduced to selectively focus on the parts of the features that are relevant for the recognition task; the proposed recognition algorithm based on sequence matching is used to realize MVHAR. The experimental results on the IXMAS dataset and the i3DPost dataset …

Design And Simulation For Compensatory Controller Of Aircraft Rudder Electro-Hydraulic Loading System, Xiaolin Liu, Jingyi Wu

Journal of System Simulation

Abstract: The electro-hydraulic loading system of aircraft rudder is a torque servo system which is a special equipment for testing the performance of rudder. In order to reduce the influence of surplus force in loading system, a control method for PID controller tuned in real time by radial basis function neural network based on particle swarm optimization is proposed. The characteristics of global and hyper parameter optimization of particle swarm optimization are used to improve the control effect of the controller. The learning coefficient based on annealing is used to accelerate the network convergence speed. Simulation results show that, compared …