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Articles 1 - 30 of 31
Full-Text Articles in Engineering
A Utility-Driven Approach To Supplier Evaluation And Selection: Empirical Validation Of An Integrated Solution Framework, Alptekin Ulutas, Nagesh Shukla, Senevi Kiridena, Peter Gibson
A Utility-Driven Approach To Supplier Evaluation And Selection: Empirical Validation Of An Integrated Solution Framework, Alptekin Ulutas, Nagesh Shukla, Senevi Kiridena, Peter Gibson
Nagesh Shukla
Supplier evaluation and selection (SES) problems have long been studied, leading to the development of a wide range of individual and hybrid models for solving them. However, the lack of widespread diffusion of existing SES models in the industry points to a need for simpler models that can systematically evaluate both qualitative and quantitative attributes of potential suppliers while enhancing the flexibility decision-makers need to account for relevant situational factors. Furthermore, empirical validations of existing models in SES have been few and far between. With a view to addressing these issues, this paper proposes an integrated solution framework that can …
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 …
An Approach To Plan And Evaluate The Location Of Radiotherapy Services And Its Application In The New South Wales, Australia, Nagesh Shukla, Rohan Wickramasuriya, Andrew Alexis Miller, Pascal Perez
An Approach To Plan And Evaluate The Location Of Radiotherapy Services And Its Application In The New South Wales, Australia, Nagesh Shukla, Rohan Wickramasuriya, Andrew Alexis Miller, Pascal Perez
Nagesh Shukla
No abstract provided.
Applying A Novel Combination Of Techniques To Develop A Predictive Model For Diabetes Complications, Mohsen Sangi, Khin Than Win, Farid Shirvani, Mohammad-Reza Namazi-Rad, Nagesh Shukla
Applying A Novel Combination Of Techniques To Develop A Predictive Model For Diabetes Complications, Mohsen Sangi, Khin Than Win, Farid Shirvani, Mohammad-Reza Namazi-Rad, Nagesh Shukla
Nagesh Shukla
No abstract provided.
Population Accessibility To Radiotherapy Services In New South Wales Region Of Australia: A Methodological Contribution, Nagesh Shukla, Rohan Wickramasuriya, Andrew Miller, Pascal Perez
Population Accessibility To Radiotherapy Services In New South Wales Region Of Australia: A Methodological Contribution, Nagesh Shukla, Rohan Wickramasuriya, Andrew Miller, Pascal Perez
Nagesh Shukla
No abstract provided.
A Lifetime Individual Sampling Model (Ism) For Heroin Use And Treatment Evaluation In Australia, Nagesh Shukla, Van Hoang, Marian Shahanan, Alison Ritter, Vu Lam Cao, Pascal Perez
A Lifetime Individual Sampling Model (Ism) For Heroin Use And Treatment Evaluation In Australia, Nagesh Shukla, Van Hoang, Marian Shahanan, Alison Ritter, Vu Lam Cao, Pascal Perez
Nagesh Shukla
Illicit drug use has created an enormous burden at societal, family and personal levels. Every year a significant amount of resources is allocated for treatment and the consequences of illicit drug use in Australia and around the world. Heroin is one of the major forms of illicit drugs that are used illegally. Several independent heroin treatment strategies or interventions exist and state-of-the-art research demonstrates their efficacy and relative cost-effectiveness. However, assessing total potential gains and burden from providing all treatment interventions or varying the mix of heroin treatments has never been attempted. Furthermore, the need to include multiple treatments, multiple …
Stochastic Modeling And Optimization Of Multi-Plant Capacity Planning Problem, Anoop Verma, Nagesh Shukla, S.K Tyagi, Nishikant Mishra
Stochastic Modeling And Optimization Of Multi-Plant Capacity Planning Problem, Anoop Verma, Nagesh Shukla, S.K Tyagi, Nishikant Mishra
Nagesh Shukla
n this paper the problem of capacity planning under risk from demand and price/cost uncertainty of the finished products is addressed. The deterministic model is extended into a two-stage stochastic model with fixed recourse by means of various expected levels of demand as random. A recourse penalty is also included in the objective for both shortage and surplus in the finished products. The model is analyzed to quantify the risk using Markowitz mean-variance model.
Tour-Based Travel Mode Choice Estimation Based On Data Mining And Fuzzy Techniques, Nagesh Shukla, Jun Ma, Rohan Wickramasuriya, Nam N. Huynh, Pascal Perez
Tour-Based Travel Mode Choice Estimation Based On Data Mining And Fuzzy Techniques, Nagesh Shukla, Jun Ma, Rohan Wickramasuriya, Nam N. Huynh, Pascal Perez
Nagesh Shukla
No abstract provided.
Multiple Fault Diagnosis Using Psycho-Clonal Algorithms, Nagesh Shukla, P. Prakash
Multiple Fault Diagnosis Using Psycho-Clonal Algorithms, Nagesh Shukla, P. Prakash
Nagesh Shukla
No abstract provided.
Data-Driven Modeling And Analysis Of Household Travel Mode Choice, Nagesh Shukla, Jun Ma, Rohan Wickramasuriya Denagamage, Nam N. Huynh
Data-Driven Modeling And Analysis Of Household Travel Mode Choice, Nagesh Shukla, Jun Ma, Rohan Wickramasuriya Denagamage, Nam N. Huynh
Nagesh Shukla
One of the important problems studied in the area of travel behavior analysis is travel mode choice which is one of the four crucial steps in transportation demand estimation for urban planning. State of the art models in travel demand modelling can be classified as trip based; tour based; and activity based. In trip based approach, each individual trips is modelled as independent and isolated trips i.e. no connections between different trips. In tour based approach, trips that start and end from the same location (home, work, etc) and trips within a tour are dependent on each other. In past …
Vehicle Routing Problem With Stochastic Demand (Vrpsd): Optimisation By Neighbourhood Search Embedded Adaptive Ant Algorithm (Ns-Aaa), M Nagalakshmi, Mukul Tripathi, Nagesh Shukla, Manoj Tiwari
Vehicle Routing Problem With Stochastic Demand (Vrpsd): Optimisation By Neighbourhood Search Embedded Adaptive Ant Algorithm (Ns-Aaa), M Nagalakshmi, Mukul Tripathi, Nagesh Shukla, Manoj Tiwari
Nagesh Shukla
Taking into account the real world applications, this paper considers a vehicle routing problem with stochastic demand (VRPSD) in which the customer demand has been modelled as a stochastic variable. Considering the computational complexity of the problem and to enhance the algorithm performance, a neighbourhood search embedded adaptive ant algorithm (ns-AAA) is proposed as an improvement to the existing ant colony optimisation. The proposed metaheuristic adapts itself to maintain an adequate balance between exploitation and exploration throughout the run of the algorithm. The performance of the proposed methodology is benchmarked against a set of test instances that were generated using …
Key Characteristics-Based Sensor Distribution In Multi-Station Assembly Processes, Nagesh Shukla, Darek Ceglarek, Manoj K. Tiwari
Key Characteristics-Based Sensor Distribution In Multi-Station Assembly Processes, Nagesh Shukla, Darek Ceglarek, Manoj K. Tiwari
Nagesh Shukla
This paper presents a novel approach for optimal key characteristics-based sensor distribution in a multi-station assembly process, for the purpose of diagnosing variation sources responsible for product quality defects in a timely manner. Current approaches for sensor distribution are based on the assumption that measurement points can be allocated at arbitrary locations on the part or subassembly. This not only presents challenges in the implementation of these approaches but additionally does not allow required product assurance and quality control standards to be integrated with them, due to lack of explicit relations between measured features and geometric dimensioning and tolerancing (GD&T). …
A Novel Integrated Model To Measure Supplier Performance Considering Qualitative And Quantitative Criteria Used In The Supplier Selection Process, Alptekin Ulutas, Senevi Kiridena, Peter Gibson, Nagesh Shukla
A Novel Integrated Model To Measure Supplier Performance Considering Qualitative And Quantitative Criteria Used In The Supplier Selection Process, Alptekin Ulutas, Senevi Kiridena, Peter Gibson, Nagesh Shukla
Nagesh Shukla
Supplier evaluation has become a significant topic over the past few decades, as companies have become more outsourced oriented. However, previous research on this topic has not paid adequate attention to the limitations associated with the availability of accurate and reliable data relating to the performance of potential suppliers. In an attempt to address this issue, this paper proposes a novel supplier evaluation model that can handle imprecise quantitative and qualitative data. Additionally, Decision Maker's judgement regarding both qualitative and quantitative criteria are incorporated into this model so that a more comprehensive and realistic assessment of supplier performance can be …
Improved Workflow Modelling Using Role Activity Diagram-Based Modelling With Application To A Radiology Service Case Study, Nagesh Shukla, John Keast, Darek Ceglarek
Improved Workflow Modelling Using Role Activity Diagram-Based Modelling With Application To A Radiology Service Case Study, Nagesh Shukla, John Keast, Darek Ceglarek
Nagesh Shukla
The modelling of complex workflows is an important problem-solving technique within healthcare settings. However, currently most of the workflow models use a simplified flow chart of patient flow obtained using on-site observations, groupbased debates and brainstorming sessions, together with historic patient data. This paper presents a systematic and semi-automatic methodology for knowledge acquisition with detailed process representation using sequential interviews of people in the key roles involved in the service delivery process. The proposed methodology allows the modelling of roles, interactions, actions, and decisions involved in the service delivery process. This approach is based on protocol generation and analysis techniques …
Optimal Sensor Distribution For Multi-Station Assembly Process Using Chaos-Embedded Fast-Simulated Annealing, N Shukla, M Tiwari, R Shankar
Optimal Sensor Distribution For Multi-Station Assembly Process Using Chaos-Embedded Fast-Simulated Annealing, N Shukla, M Tiwari, R Shankar
Nagesh Shukla
This paper presents a novel methodology for the allocation of sensors in multi-station assembly processes. It resolves two core issues pertaining to the determination of an optimal number of sensors to be employed and their best locations. To make the traditional approach more effective, the effect of noise on sensor placement is minimized by maximizing the determinant of the Fischer information matrix. A state-space approach is adopted to model the variation propagation pertaining to the transfer of parts in a given multi-station assembly process. Further, the objective function conceived is significant over other contributions with respect to adding the effect …
Multi Station Assembly Process And Determining The Optimal Sensor Placement Using Chaos Embedded Fast Simulated Annealing, Nagesh Shukla, Manoj Tiwari, Ravi Shankar
Multi Station Assembly Process And Determining The Optimal Sensor Placement Using Chaos Embedded Fast Simulated Annealing, Nagesh Shukla, Manoj Tiwari, Ravi Shankar
Nagesh Shukla
This paper presents a new methodology for allocation of sensors in Multi Station Assembly processes. It resolves two core issues i.e. determining the optimal number of sensors to be used and the best locations for each of sensors. The effect of noise on the sensor placement has been minimized by maximizing the determinant of Fisher information matrix. The paper conceives objective function that is significant over other contributions in respect of adding the effect of noise coupled with the sensor data. To optimize the proposed objective function, a new algorithm is developed that combines Chaotic sequences with traditional Evolutionary Fast …
Solving Machine Loading Problem Of Fms: An Artificial Intelligence (Ai) Based Random Search Optimization Approach, Anoop Prakash, Nagesh Shukla, Ravi Shankar, Manoj Tiwari
Solving Machine Loading Problem Of Fms: An Artificial Intelligence (Ai) Based Random Search Optimization Approach, Anoop Prakash, Nagesh Shukla, Ravi Shankar, Manoj Tiwari
Nagesh Shukla
Artificial intelligence (AI) refers to intelligence artificially realized through computation. AI has emerged as one of the promising computer science discipline originated in mid-1950. Over the past few decades, AI based random search algorithms, namely, genetic algorithm, ant colony optimization, and so forth have found their applicability in solving various real-world problems of complex nature. This chapter is mainly concerned with the application of some AI based random search algorithms, namely, genetic algorithm (GA), ant colony optimization (ACO), simulated annealing (SA), artificial immune system (AIS), and tabu search (TS), to solve the machine loading problem in flexible manufacturing system. Performance …
Fault Diagnosis In Multi-Station Assembly Systems Using An Agent-Based Simulation Model, Nagesh Shukla, Manoj Tiwari, Darek Ceglarek
Fault Diagnosis In Multi-Station Assembly Systems Using An Agent-Based Simulation Model, Nagesh Shukla, Manoj Tiwari, Darek Ceglarek
Nagesh Shukla
Today’s automotive industries require quick ramp-up in order to shorten the time to market and fulfill greater demand for product variety. Since, dimensional tolerance problems are one of the main causes for delay during ramp-up in multi-station assembly systems; hence, rapid diagnosis of faults contributing to dimensional errors is of significant concern. This paper presents an agent-based simulation model (ABSM) which integrates model-based and data-based diagnostics for fault diagnosis and correction in multi-station assembly processes. The fault causing variation sources, their effects on dimensional accuracy, diagnosis from sensors data and corrective actions in multi-station assembly systems are simulated using proposed …
Improved And Generalized Learning Strategies For Dynamically Fast And Statistically Robust Evolutionary Algorithms, Yogesh Dashora, Sanjeev Kumar, Nagesh Shukla, M K. Tiwari
Improved And Generalized Learning Strategies For Dynamically Fast And Statistically Robust Evolutionary Algorithms, Yogesh Dashora, Sanjeev Kumar, Nagesh Shukla, M K. Tiwari
Nagesh Shukla
This paper characterizes general optimization problems into four categories based on the solution representation schemes, as they have been the key to the design of various evolutionary algorithms (EAs). Four EAs have been designed for different formulations with the aim of utilizing similar and generalized strategies for all of them. Several modifications to the existing EAs have been proposed and studied. First, a new tradeoff function-based mutation has been proposed that takes advantages of Cauchy, Gaussian, random as well as chaotic mutations. In addition, a generalized learning rule has also been proposed to ensure more thorough and explorative search. A …
Genetic-Algorithms-Based Algorithm Portfolio For Inventory Routing Problem With Stochastic Demand, Nagesh Shukla, M Tiwari, Darek Ceglarek
Genetic-Algorithms-Based Algorithm Portfolio For Inventory Routing Problem With Stochastic Demand, Nagesh Shukla, M Tiwari, Darek Ceglarek
Nagesh Shukla
This paper presents an algorithm portfolio methodology based on evolutionary algorithms to solve complex dynamic optimization problems. These problems are known to have computationally complex objective functions which make their solutions to be computationally hard to find, when problem instances of large dimensions are considered. This is due to the inability of the algorithms to provide optimal or near optimal solution within allocated time interval. Therefore, this paper employs a bundle of evolutionary algorithms (EAs) tied together with several processors, known as algorithm portfolio, to solve a complex optimization problem such as inventory routing problem (IRP) with stochastic demands. EAs …
Hybrid Agent Based Simulation With Adaptive Learning Of Travel Mode Choices For University Commuters (Wip), Nagesh Shukla, Albert Munoz, Jun Ma, Nam Huynh
Hybrid Agent Based Simulation With Adaptive Learning Of Travel Mode Choices For University Commuters (Wip), Nagesh Shukla, Albert Munoz, Jun Ma, Nam Huynh
Nagesh Shukla
This paper presents a methodology for developing a hybrid agent-based micro-simulation model to capture the impacts of commuter travel mode choices on a University campus transport network. The proposed methodology involves: (i) developing realistic population of commuter agents (students and staff); (ii) assigning activity lists and travel mode choices to agents using machine learning method; and, (iii) traffic micro-simulation of the study area transport network. This furthers the understanding of current transport modal distributions, factors affecting the travel mode choice decisions, and, network performance through a number of hypothetical travel scenarios.
Optimization Of System Reliability Using Chaos-Embedded Self-Organizing Hierarchical Particle Swarm Optimization, M Bachlaus, N Shukla, M Tiwari, R Shankar
Optimization Of System Reliability Using Chaos-Embedded Self-Organizing Hierarchical Particle Swarm Optimization, M Bachlaus, N Shukla, M Tiwari, R Shankar
Nagesh Shukla
This paper addresses a reliability optimization problem, where the motive is to select the best components for series and series-parallel systems such that system reliability becomes maximized while simultaneously minimizing the cost, weight, and volume. Previous formulation of the problem has implicit restrictions, i.e. it either maximizes system reliability or minimizes the cost. Thus, in order to give a realistic view to the model, a comprehensive objective function has been formulated by combining the normalized values of reliability, cost, weight, and volume. In this paper, a chaos-embedded hierarchical particle swarm optimization (CE-HPSO) algorithm has been proposed to solve the problems …
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 …
A Probabilistic Predictive Model For Residential Mobility In Australia, Mohammad-Reza Namazi-Rad, Nagesh Shukla, Albert Munoz, Payam Mokhtarian, Jun Ma
A Probabilistic Predictive Model For Residential Mobility In Australia, Mohammad-Reza Namazi-Rad, Nagesh Shukla, Albert Munoz, Payam Mokhtarian, Jun Ma
Nagesh Shukla
Household relocation modelling is an integral part of the planning process as residential movements influence the demand for community facilities and services. Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA) created the Household, Income and Labour Dynamics in Australia (HILDA) program to collect reliable longitudinal data on family and household dynamics. Socio-demographic information (such as general health situation and well-being, lifestyle changes, residential mobility, income and welfare dynamics, and labour market dynamics) is collected from the sampled individuals and households. The data shows that approximately 17% of Australian households and 13% of couple families in the HILDA sample …
Modelling Variations In Hospital Service Delivery Based On Real Time Locating Information, Nagesh Shukla, John Keast, Darek Ceglarek
Modelling Variations In Hospital Service Delivery Based On Real Time Locating Information, Nagesh Shukla, John Keast, Darek Ceglarek
Nagesh Shukla
Variations in service delivery have been identified as a major challenge to the success of process improvement studies in service departments of hospital such as radiology. Largely, these variations are due to inherent system level factors, i.e., system variations such as unavailability of resources (nurse, bed, doctors, and equipment). These system variations are largely unnecessary/unwarranted and mostly lead to longer waiting times, delays, and lowered productivity of the service units. There is limited research on identifying system variations and modelling them for service improvements within hospital. Therefore, this paper proposes a modelling methodology to model system variations in radiology based …
Short Report On: Inquiry Into The Utilisation Of Rail And Infrastructure Corridors. Prepared For The Nsw Legislative Assembly, Committee On Transport And Infrastructure, Andrew Mccusker, Nagesh Shukla
Short Report On: Inquiry Into The Utilisation Of Rail And Infrastructure Corridors. Prepared For The Nsw Legislative Assembly, Committee On Transport And Infrastructure, Andrew Mccusker, Nagesh Shukla
Nagesh Shukla
This report to the parliamentary inquiry addresses the use of land development for integrated infrastructure corridors and considers improvement to policy development, planning and strategies to achieve greater productivity, enhanced liveability and improved economic benefit through informed decision making. In considering rail corridor usage long term it is essential to support the needs of society through decision making that is underpinned by proper analysis and longer term modelling. In order to ensure any proposed interventions represent a step forward with respect to competiveness of the transport system, the liveability for affected residence and customers and the overall resilience to unexpected …
Algorithm Portfolios For Logistics Optimization Considering Stochastic Demands And Mobility Allowance, N Shukla, A K. Choudhary, P Prakash, K J. Fernandes, M K. Tiwari
Algorithm Portfolios For Logistics Optimization Considering Stochastic Demands And Mobility Allowance, N Shukla, A K. Choudhary, P Prakash, K J. Fernandes, M K. Tiwari
Nagesh Shukla
The vehicle routing problem with stochastic demand (VRPSD) is a well known NP-hard problem. The uncharacteristic behaviour associated with the problem enhances the computational efforts required to obtain a feasible and near-optimal solution. This paper proposes an algorithm portfolio methodology based on evolutionary algorithms, which takes into account the stochastic nature of customer demand to solve this computationally complex problem. These problems are well known to have computationally complex objective functions, which make their solutions hard to find, particularly when problem instances of large dimensions are considered. Of particular importance in such situations is the timeliness of the solution. For …
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 …
A Semi-Deterministic Approach For Modelling Of Urban Travel Demand, Nam N. Huynh, Nagesh Shukla, Albert Munoz Aneiros, Vu Lam Cao, Pascal Perez
A Semi-Deterministic Approach For Modelling Of Urban Travel Demand, Nam N. Huynh, Nagesh Shukla, Albert Munoz Aneiros, Vu Lam Cao, Pascal Perez
Nagesh Shukla
This paper presents a methodology to construct travel related activity schedules for individuals in a synthetic population. The resulting list of activity schedules are designed as an input into a micro-simulator for urban transport dynamics analysis. The methodology involves two main steps. The first step generates a synthetic population based on census data sourced from the Australian Bureau of Statistics (ABS). The second step assigns individuals in the synthetic population activity schedules using Household Travel Survey (HTS) data related to the geographical area of interest (in this case, the Sydney Greater Metropolitan area). Each individual is assigned an ordered set …
Cloud Computing Technology: Reducing Carbon Footprint In Beef Supply Chain, Akshit Singh, Nishikant Mishra, Syed Imran Ali, Nagesh Shukla, Ravi Shankar
Cloud Computing Technology: Reducing Carbon Footprint In Beef Supply Chain, Akshit Singh, Nishikant Mishra, Syed Imran Ali, Nagesh Shukla, Ravi Shankar
Nagesh Shukla
Global warming is an alarming issue for the whole humanity. The manufacturing and food supply chains are contributing significantly to the large-scale carbon emissions. Beef supply chain is one of the segments of food industry having considerable carbon footprint throughout its supply chain. The major emissions are occurring at beef farms in the form of methane and nitrous oxide gases. The other carbon hotspots in beef supply chain are abattoir, processor, logistics and retailer. There is a huge amount of pressure from government authorities to all the business firms to cut down carbon emissions. The different stakeholders of beef supply …