ORCID Profile
0000-0001-7062-6349
Current Organisations
University of Technology Sydney
,
Technical University of Munich (TUM)
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Innovation and Technology Management | Manufacturing Engineering | Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics) | Control Systems, Robotics and Automation |
Expanding Knowledge in Engineering | Technological and Organisational Innovation
Publisher: Wiley
Date: 16-04-2020
DOI: 10.1111/RADM.12413
Publisher: Springer International Publishing
Date: 2023
Publisher: Springer International Publishing
Date: 2023
DOI: 10.1007/978-3-031-26490-0_10
Abstract: Over the past decades, the world has seen a continuous increase of globalisation and interconnectedness – in part supported by advances in digital communication and production technologies. In the case of industrial production, this trend has led to global, integrated supply chains in order to provide the most competitive and innovative products utilising the most competitive market conditions. In Australia, due to its remote geographic location and socioeconomic conditions, such as high labour costs and negative economics of scale, this has resulted in a loss of domestic manufacturing capabilities. With recent changes in the geopolitical environment (trade wars, actual wars, Covid-19, climate crisis etc.) calls to produce local are becoming louder again. In this article, we therefore explore the potential of digital technologies to overcome Australia’s challenges in reshoring its manufacturing capabilities. Findings indicate that a highly skilled digital workforce is needed to leverage the country’s potential in world-leading niche manufacturing. The Associate Degree of Advanced Manufacturing, developed and delivered by the Centre for Advanced Manufacturing at the University of Technology Sydney (UTS), is presented as an ex le of how to upskill the manufacturing workforce.
Publisher: Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia; The Design Society, Glasgow, UK
Date: 2018
Publisher: Springer India
Date: 24-12-2015
Publisher: Springer India
Date: 24-12-2015
Publisher: ASMEDC
Date: 2008
Abstract: Design Structure Matrices (DSM) and Domain Mapping Matrices (DMM) are commonly used to model and analyze the relationships within one domain (DSM) or between two domains (DMM). Being assembled into one larger square matrix, having DSMs on its diagonal and DMMs in all other fields, a so-called Multiple Domain Matrix (MDM) is formed. When relating two domains using a DMM, a problem arises when the nature of one in idual relationship between the two domains is to be described. Usually, this is modeled by annotating each relationship with the additional information, much like comments in spreadsheet software. This, however, is yet impossible if the relationships should be in matrix notation to allow for algorithmic matrix analyses. Equally, this way, the annotations are not accessible as elements of another matrix, e.g. as DSM. This paper suggests a generic principle to solve the described problem in a way consistent with the matrix methodology. It proposes an approach using MDM and is thereby able to unambiguously provide the nature of each relationship between the elements of two domains. As a DSM is a mere case of a DMM having two identical domains, the approach proposed can equally be used to enrich the relationships within a DSM.
Publisher: IEEE
Date: 12-2008
Publisher: Cambridge University Press (CUP)
Date: 07-2019
DOI: 10.1017/DSI.2019.152
Abstract: Design methods can provide valuable support in structuring and solving complex product design problems. However, the application and the transfer of methods from academia to industry is limited. To date, research has tended to focus on solving this through improved method selection, method adaptation and training. The development of design methods itself has attracted surprisingly low attention. This paper closes this gap and adds a quite new perspective of systematic requirement management of method development. However, the variety of methods, method users and application contexts is a key challenge and does not allow for a universal set of requirements. Thus, this paper transfers the concept of solution-neutral requirements frameworks, which are established in product design, to method development. The framework is derived from analysing and structuring different requirements found in literature. Different requirement sub-/categories allow for accommodating the varying levels of detail of requirements. The framework works like a checklist and helps design researchers to consider the most important requirement categories, which subsequently can be detailed project-specifically.
Publisher: Cambridge University Press (CUP)
Date: 2016
DOI: 10.1017/DSJ.2016.4
Abstract: Open Innovation (OI) supports companies in systematically collaborating with external partners, offering various advantages. However, companies still face several challenges when applying OI, e.g., identifying relevant OI partners, collaboration methods, and project risks. Often, insufficient planning is the reason for subsequent deficits in OI projects. The analysis of relevant context factors (‘situation’) is important, which affect and constrain OI. To date, a general approach for analyzing (open) innovation situations or guidelines for developing one do not exist. Usually researchers develop their own situation analysis, including extensive literature reviews and experiencing similar challenges. This publication sets the basis for successfully planning OI projects. It focuses on developing an analysis approach for OI situations and supports other researchers in developing their own analysis approaches. The resultant objectives of the publication are to: (1) provide a list of potential situation analysis criteria (2) provide a guideline for developing a situation analysis (3) provide initial indications of relevant OI-specific situation criteria. The criteria were derived from the literature and qualitatively evaluated by three industry partners to assess their usability. Although this work is exploratory, and the results are not automatically generalizable, it is an important contribution for ensuring the success of OI, and for analyzing enablers and barriers to knowledge transfer from academia to industry.
Publisher: World Scientific Pub Co Pte Lt
Date: 06-2016
DOI: 10.1142/S1363919616400119
Abstract: By opening a company’s innovation process, and allowing purposeful collaboration with external partners, Open Innovation (OI) offers several advantages, such as the use of external expertise, shorter time-to-market and reduced failure rates. However, the success of OI projects is directly linked to the selection of suitable partners, who operationally or strategically contribute to reach the goal of the OI project. Despite this relevance of OI-partner selection, methodical support has hitherto been limited — it is either too abstract to be helpful in practice, or too focused on single aspects. This paper presents a methodical approach to close this gap by combining identification and selection approaches from different fields, such as stakeholder analysis, lead-user identification and systems engineering. The methodology was evaluated in an industrial OI-project with an SME from plant manufacturing.
Publisher: Elsevier BV
Date: 02-2020
Publisher: ACM
Date: 29-11-2022
Publisher: Wiley
Date: 21-03-2022
DOI: 10.1111/GFS.12560
Abstract: Process‐based models such as the Agricultural Production Systems Simulator (APSIM) can be useful to simulate pasture growth and development. This aim of the study is to parameterise the APSIM‐Tropical Pasture model to simulate Marandu palisade grass ( Urochloa brizantha cv. Marandu), irrigated and rainfed, under cut‐and‐carry management. Parameterisation was performed with experimental data collected in Piracicaba, SP, Brazil (Experiment 1: 11 growth cycles), and São Carlos, SP, Brazil (Experiment 2: 9 growth cycles). In both experiments, aboveground live biomass, leaf, stem, crown and dead material mass, specific leaf area (SLA), leaf area index (LAI) and height were assessed. In Experiment 1, soil water content was measured with a capacitance probe, at depths from 0 to 0.9 m. Calibration was performed for base temperature, light extinction coefficient and radiation use efficiency. The calibrated model proved to be accurate in simulating living biomass, leaf mass, LAI and height for all tested variables. In the irrigated system, the statistics presented values between 0.64 and 0.86 for coefficient of determination (R 2 ), between 0.59 and 0.70 for efficiency coefficient (NSE) and between 0.88 and 0.95 for the Willmott’s agreement index (d). For these same variables, in the rainfed system, R 2 values ranged from 0.70 to 0.86 NSE from 0.54 to 0.70 and average d was 0.93. The simulation of soil water content showed satisfactory results for rainfed pasture, but was less precise for the irrigated treatment. The calibration of the APSIM‐Tropical Pasture model for Marandu palisade grass resulted in efficient simulations of pasture growth under cut‐and‐carry management.
Publisher: Springer Berlin Heidelberg
Date: 2009
Location: Brazil
Location: Brazil
Start Date: 08-2021
End Date: 08-2026
Amount: $4,879,415.00
Funder: Australian Research Council
View Funded Activity