Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
A Fuzzy Rough Sets-Based Multi-Agent Analytics Framework For Dynamic Supply Chain Configuration, Nagesh Shukla, Senevi Kiridena
A Fuzzy Rough Sets-Based Multi-Agent Analytics Framework For Dynamic Supply Chain Configuration, Nagesh Shukla, Senevi Kiridena
SMART Infrastructure Facility - Papers
Considering the need for more effective decision support in the context of distributed manufacturing, this paper develops an advanced analytics framework for configuring supply chain networks. The proposed framework utilizes a distributed multi-agent system architecture to deploy fuzzy rough sets-based algorithms for knowledge elicitation and representation. A set of historical sales data, including network node-related information, is used together with the relevant details of product families to predict supply chain configurations capable of fulfilling desired customer orders. Multiple agents such as data retrieval agent, knowledge acquisition agent, knowledge representation agent, configuration predictor agent, evaluator agent and dispatching agent are used …
Case Study: A Model Based Systems Engineering (Mbse) Framework For Characterising Transportation Systems Over The Full Life Cycle, William R. Scott, Richard Fullalove, Gary Arabian, Allan P. Campbell
Case Study: A Model Based Systems Engineering (Mbse) Framework For Characterising Transportation Systems Over The Full Life Cycle, William R. Scott, Richard Fullalove, Gary Arabian, Allan P. Campbell
SMART Infrastructure Facility - Papers
Development of transport infrastructure has significant challenges including acquisition lag, phased evolution, multiple disparate stakeholders and environment-specific issues. The Asset Standards Authority (ASA) at TfNSW is introducing MBSE to address these challenges. Instrumental to the introduction is the development of a framework that structures the available data and provides guidance and traceability between the data sets. This framework combines the enterprise-level drivers with the lower level drivers such as standards to outline a generic conceptual design for a transport system. This conceptual design is then used to guide future system development. The outcome is future project information based on greater, …
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
SMART Infrastructure Facility - Papers
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 …
Application Of A Dynamic Inter-Sectoral Framework To Estimate Regional Employment, Ashkan Masouman
Application Of A Dynamic Inter-Sectoral Framework To Estimate Regional Employment, Ashkan Masouman
SMART Infrastructure Facility - Papers
Several attempts have been proposed in the literature to relax the restrictive assumptions of a standalone input-output model. Particularly, endogenisation of the household sector, which exhibits the highest constant returns to scale, has been continuously recognised as a key objective of such attempts. This objective increases in importance as we move from national to regional economies. Most of the studies in the literature collapse the intermediate demand information into a solo composite variable. The intermediate demand information serves as a priori data, which represents the inter-sectoral relationships within a regional economy. In this paper, estimation of sectoral employment by embedding …
Evaluating Participatory Modeling: Developing A Framework For Cross-Case Analysis. Socio-Economics And The Environment In Discussion (Seed), Natalie A. Jones, Pascal Perez, Thomas G. Measham, Gail J. Kelly, Patrick D'Aquino, Katherine Daniell, Anne Dray, Nils Ferrand
Evaluating Participatory Modeling: Developing A Framework For Cross-Case Analysis. Socio-Economics And The Environment In Discussion (Seed), Natalie A. Jones, Pascal Perez, Thomas G. Measham, Gail J. Kelly, Patrick D'Aquino, Katherine Daniell, Anne Dray, Nils Ferrand
SMART Infrastructure Facility - Papers
Participatory modeling is increasingly recognised as an effective way to assist collective decision-making processes in the domain of natural resource management. This paper introduces a framework for evaluating projects that have adopted a participatory modeling approach. This framework – known as the ‘Protocol of Canberra’ – was developed through a collaboration between French and Australian researchers engaged in participatory modeling and evaluation research. The framework seeks to assess the extent to which different participatory modeling practices reinforce or divert from the theoretical assumptions they are built upon. The paper discusses the application of the framework in three case-studies, two from …
An Agent-Based Framework For Simulating Socio-Organisational Design Of Large Projects, Ricardo Peculis, Derek Rogers, Peter Campbell
An Agent-Based Framework For Simulating Socio-Organisational Design Of Large Projects, Ricardo Peculis, Derek Rogers, Peter Campbell
SMART Infrastructure Facility - Papers
The success of large projects depends on how people associated in teams and organisations perform their tasks and cooperate to achieve a shared goal. Success depends on an effective socio-organisational design that defines organisational structures; human resources in the form of people's abilities, roles and responsibilities; and establishing processes and contracts that will drive measures of success. Predicting the behaviour of large projects is difficult and the performance of the socio-organisational design is likely to be validated only when it is put in to practice. Simulation offers a way to explore the likely behaviour of social systems without the drawback …