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Spine Kinesis : Biomechanical Studies on Human Spine Disc Degeneration
Dr S Parasuraman Senior Lecturer BE , ME , PhD ( Aus )
Research expertise : Robotics & Kinematic , Biomechanics & Biomedical Engineering , Human Gait & Motion , Artificial Intelligence
E : s . parasuraman @ monash . edu T : + 603 5514 6254
Lower back pain causes more disabilities than nearly 300 other conditions worldwide . Nearly , 10 % of people across the globe are affected by back pain . Repetitive and excessive loading alter the structure and functions of lumbar spine , which lead to pain and injury in the components of lumbar segments , namely vertebrae , endplates and disc joints . The vertebral disc is a combination of strong connective tissues that holds one vertebra to the next and acts as a cushion between the vertebrae . The disc resists anterior , posterior and lateral shears along with compression . This makes the disc the most important loadbearing component of lumbar spine . This damage in disc makes the facet joints disproportionately share the loads and alters the facet joint motion , leading to adjacent level disc degeneration . Therefore , a comprehensive study on spinal segments is essential to understand the kinesis of spine .
The ANSYS models of L4 and L5 lumbar ( healthy and 40 % disc degeneration )
Development and Validation of a Production Planning Model for Throughput Shortage Recovery Through Process Parameter Adjustment in Manufacturing Industry
Dr Ho Kok Hoe Senior Lecturer PhD , Ts ( MBOT ), Grad . ENG ( IEM / BEM )
Research expertise : Industrial Engineering , Operations Research , Manufacturing , Process Engineering
E : ho . kokhoe @ monash . edu T : + 603 5515 9784
Existing production planning models plan daily throughput to meet customer demand . However , there are limitations such as lack of quantitative correlation between process parameters and throughput shortage , emphasis on qualitative exercises in productivity improvements to recover throughput shortage . Most notably , recent developments show little attention is paid to quantitative means of throughput shortage recovery . This will result in jeopardizing the goal to meet the demand . The study aims at developing and validating a production planning model incorporating throughput shortage recovery using mathematical programming . The literature review identifies opportunities such as the inclusion of process parameters and throughput shortage in the production planning model , which are integrated to develop a feasible production planning model . The study objectives are to perform throughput estimation and to recover throughput shortage in a series of processes . The rationale of the mathematical programming in this study is to optimize process parameters values when there is throughput shortage . The study introduces the novelty of formulating multiple process parameters in the equation and the employment of mathematical programming to recover throughput shortage using a two-stage planning strategy . The streamlining of throughput shortage reduction approach indirectly enables manufacturers to reduce inventory buffers , optimize cycle time , and meet customer due date .
Simulation Model
Conventional Planning Model vs Planning Model with Mathematical Programming Optimization
ROBOTICS AND MECHATRONICS ENGINEERING
R E S E A R C H E R P R O F I L E 2022 / 2023