A5021067324- Advanced Manufacturing and Logistics Optimization
- Healthcare Operations and Scheduling Optimization
- Scheduling and Optimization Algorithms
- Maritime Ports and Logistics
- Optimization and Packing Problems
- Vehicle Routing Optimization Methods
- Mining Techniques and Economics
- Healthcare Policy and Management
- Traffic and Road Safety
- Transportation Planning and Optimization
- Urban and Freight Transport Logistics
- Operations Management Techniques
- Assembly Line Balancing Optimization
- Manufacturing Process and Optimization
- Urban Transport and Accessibility
- Optimization and Mathematical Programming
- Coral and Marine Ecosystems Studies
- Supply Chain and Inventory Management
- Traffic Prediction and Management Techniques
- Transportation and Mobility Innovations
- Hospital Admissions and Outcomes
- Autonomous Vehicle Technology and Safety
- Automotive and Human Injury Biomechanics
- Vehicle emissions and performance
- Advanced Battery Technologies Research
Queensland University of Technology
2005-2025
Ansell (Australia)
2007
Shipping channels are often a constraint to port capacity because of the significant capital cost and environmental impact channel dredging. Channels narrow in places, which constrains...
Supply chains, urban freight logistics and transport have been under pressure to improve productivity, quality, sustainability performance. Conventional methods of practice are unable respond this industry's ever-growing challenges needs. New methods/technologies emerged issue, making a more contemporary, interdisciplinary technology integrated field. Nevertheless, the application new methods/technologies, developments in field not fully into training/education programs. This study utilised...
Estimating crash data count models poses a significant challenge which requires extensive knowledge, experience, and meticulous hypothesis testing to capture underlying trends. Simultaneous consideration of multiple modelling aspects is required including, among others, functional forms, likely contributing factors, unobserved heterogeneity. However, model development, frequently affected by time can easily overlook crucial such as identification necessary transformations, distributional...
Analyzing crash data is a complex and labor-intensive process that requires careful consideration of multiple interdependent modeling aspects, such as functional forms, transformations, likely contributing factors, correlations, unobserved heterogeneity. Limited time, knowledge, experience may lead to over-simplified, over-fitted, or misspecified models overlooking important insights. This paper proposes an extensive hypothesis testing framework including multi-objective mathematical...
Climate change impacts require us to reexamine crop growth and yield under increasing temperatures continuing yearly climate variability. Agronomic agro-meteorological variables were concorded for a large number of plantings green bean ( Phaseolus vulgaris L.) in three growing seasons over several years from semi-tropical Queensland. Using the Queensland government’s SILO meteorological database matched sowing dates phenology, we derived planting specific variables. Linear nonlinear...
This article showcases a personal decision support tool (PDST) called HOPLITE, for performing insightful and actionable quantitative assessments of hospital capacity, to planners health care managers. The is user-friendly intuitive, automates tasks, provides instant reporting, extensible. It has been developed as an Excel Visual Basic Applications (VBA) due its perceived ease deployment, use, Office's vast installed user base, extensive legacy in business. methodology this bridges the gap...
Abstract Prioritising elective surgery patients under the Australian three-category system is inherently subjective due to variability in clinician decision making and potential for extraneous factors influence category assignment. As a result, waiting time inequities can exist which may lead adverse health outcomes increased morbidity, especially deemed be low priority. This study investigated use of dynamic priority scoring (DPS) rank more equitably, based on combination clinical factors....
Various medical and surgical units operate in a typical hospital to treat their patients these compete for infrastructure like operating rooms (OR) ward beds. How that competition is regulated affects the capacity output of hospital. This article considers impact treating different patient case mix (PCM). As each has an economic consequence unique profile resource usage, this consideration important. To better understand landscape identify those which are optimal from utilisation...
Lithium-ion battery energy storage systems are made from sets of packs that connected in series and parallel combinations depending on the application’s needs for power. To achieve optimal control, advanced management (ABMSs) with health-conscious control required highly dynamic applications where safe operation, extended life, maximum performance critical requirements. The majority earlier research assumed cells these were identical would vary uniformly over time terms cell characteristics....
In this paper, production scheduling for rotomoulded plastics manufacturing in a multi-machine environment is considered. The objective to minimise total tardiness. problem has some commonality with hybrid flow shop batching, where additional constraints are needed control which machines may be used at each stage. shown NP-hard and formulated as mixed integer program. Given consequently large solve times obtain optimal solutions, simulated annealing tabu search algorithms were developed...
Production of cultivated resources require additional planning that takes growth time into account. We formulate a mathematical programming model to determine the optimal location and sizing facilities, impacted by resource survival rate as function its time. Our method informs strategic decisions regarding number, location, well operational for in facility minimize total costs. solve this problem context coral aquaculture large-scale reef restoration using two-stage algorithm linear...
Abstract A new approach to perform hospital case‐mix planning (CMP) is introduced in this article. Our multicriteria utilizes utility functions (UF) articulate the preferences and standpoint of independent decision makers regarding outputs. The primary aim article test whether a method (UFM) based on scalarization aforesaid UF an appropriate quantitative technique (i) distribute resources different operating units (ii) provide better capacity allocation case mix. motivated by need able...