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Articles 1 - 12 of 12
Full-Text Articles in Science and Technology Studies
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.
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 …
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 …
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 …
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 …