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2015

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Nagesh Shukla

Articles 1 - 9 of 9

Full-Text Articles in Science and Technology Studies

Stochastic Modeling And Optimization Of Multi-Plant Capacity Planning Problem, Anoop Verma, Nagesh Shukla, S.K Tyagi, Nishikant Mishra Sep 2015

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.

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Tour-Based Travel Mode Choice Estimation Based On Data Mining And Fuzzy Techniques, Nagesh Shukla, Jun Ma, Rohan Wickramasuriya, Nam N. Huynh, Pascal Perez Sep 2015

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.

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Key Characteristics-Based Sensor Distribution In Multi-Station Assembly Processes, Nagesh Shukla, Darek Ceglarek, Manoj K. Tiwari Apr 2015

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). …

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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 Apr 2015

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 …

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Improved Workflow Modelling Using Role Activity Diagram-Based Modelling With Application To A Radiology Service Case Study, Nagesh Shukla, John Keast, Darek Ceglarek Apr 2015

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 …

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A Probabilistic Predictive Model For Residential Mobility In Australia, Mohammad-Reza Namazi-Rad, Nagesh Shukla, Albert Munoz, Payam Mokhtarian, Jun Ma Apr 2015

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 …

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Algorithm Portfolios For Logistics Optimization Considering Stochastic Demands And Mobility Allowance, N Shukla, A K. Choudhary, P Prakash, K J. Fernandes, M K. Tiwari Apr 2015

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 …

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Reducing Unwarranted Variation In Healthcare Service Delivery Systems: Key Issues, Research Challenges And Potential Solutions, Nagesh Shukla, Senevi Kiridena, Nishikant Mishra Apr 2015

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 …

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Cloud Computing Technology: Reducing Carbon Footprint In Beef Supply Chain, Akshit Singh, Nishikant Mishra, Syed Imran Ali, Nagesh Shukla, Ravi Shankar Apr 2015

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 …

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