- Fuzzy Logic and Control Systems
- Robotic Path Planning Algorithms
- Scheduling and Optimization Algorithms
- Supply Chain and Inventory Management
- Advanced machining processes and optimization
- Quality and Supply Management
- Industrial Vision Systems and Defect Detection
- Multi-Criteria Decision Making
- Neural Networks and Applications
- Healthcare Operations and Scheduling Optimization
- Advanced Machining and Optimization Techniques
- Robotics and Sensor-Based Localization
- Advanced Surface Polishing Techniques
- Advanced Manufacturing and Logistics Optimization
- Manufacturing Process and Optimization
- Control and Dynamics of Mobile Robots
- Gear and Bearing Dynamics Analysis
- Sustainable Supply Chain Management
- Image and Object Detection Techniques
- Advanced Control Systems Design
- Fault Detection and Control Systems
- Smart Parking Systems Research
- Assembly Line Balancing Optimization
- Advanced Statistical Process Monitoring
- Robotic Mechanisms and Dynamics
Concordia University
2009-2022
Jewish General Hospital
2017
McGill University
2017
Khalifa University of Science and Technology
2015
University of Toronto
1993-2002
The overwhelming majority of the literature in area supply chain planning and scheduling considers traditional make-to-stock (MTS) environment. However, manufacturers assembled products such as cars, computers, furniture, etc. adopt build-to-order (BOSC) to become agile a mass customization process order meet diversified customer requirements. In this paper we propose an integrated production–distribution model for multi-echelon, multi-plant multi-product operating (BTO) uncertainties...
In this paper, a visual, data-driven operational level lean maturity model is developed. The can be used to assess the of in seven axes manufacturing cells. A case study carried out for gathering data analysis and explanatory results. Results show that developed measure overall leanness through each axis. applied by practitioners as framework design develop company-specific model.
Outpatient cancer treatment centers can be considered as complex systems in which several types of medical professionals and administrative staff must coordinate their work to achieve the overall goals providing quality patient care within budgetary constraints. In this article, we use analytical methods that have been successfully employed for other show how a clinic simultaneously reduce waiting times non-value added process has series steps, more than one involves scarce resource. The...
Abstract An approach to study the whirling motion of BTA (boring trepanning association) deep hole boring system is presented by introducing excitation in form internal forces between bar and workpiece. This involves nonhomogeneous boundary conditions with homogeneous equations. The mathematical bar-workpiece cutting external suppression will transform problem into equations homogenous conditions. Using this obtained at different points on assembly. External reduce whirl amplitude same...
Purpose Increased demand and the pressure to reduce health-care costs have led longer waiting time for patients make appointments during day of hospital visits. The purpose this study is identify opportunities using lean techniques discrete-event simulation (DES). Design/methodology/approach A five-step procedure proposed facilitate effective utilization DES improve performance Otolaryngology Head Neck Surgery Outpatient Clinic at Cleveland Abu Dhabi. While were applied potential sources...
In this paper, the concept of sensor-based behavior is used to design a neuro-fuzzy control system for car-like-mobile-robot. The problem addressed parallel parking in rectangular constrained space with just one backward maneuver. To accomplish autonomous fuzzy control, car-like-mobile-robot has trained park 2 dimensions based on training data obtained from sensor information generated offline by adopting fifth-order polynomial as reference trajectory. proposed controller an ANFIS...
In this paper, an adaptive fuzzy control scheme for tracking a class of continuous-time plants is presented. A parameterized Sugeno approximator used to adaptively compensate the plant nonlinearities. All parameters in are tuned using Lyapunov-based design. approximator, first-order consequents IF-THEN rules system, which has better approximation capability than those constant consequents. Global boundedness system established. Finally, simulation demonstrate effectiveness proposed controller.
It is shown that complex rules can be broken up into simple when the are represented with any S-implication or R-implication. emphasized Godel implication only meaningful function to used max-min composition if inferencing mechanism satisfy certain properties. also rule breakup and provides a very efficient mechanism.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
In this paper, we address an instance of the dynamic capacitated multi-item lot-sizing problem (CMILSP) typically encountered in steel rolling mills. Production planning is carried out at master production schedule level, where various end items lot sizes are determined such that total cost minimised. Through incorporating technological constraints associated with manufacturing process, integrated production–inventory formulated as a mixed integer bilinear program (MIBLP). Typically, class...
In this article, we model an oncology clinic and treatment center as a multi-stage system of interdependent stochastic processes illustrate the mechanisms leading to excessive patient waiting times. Insights from studying simulations clinic's operations point potential improvement through planning appointments achieve level flow. We construct test novel algorithm calculate appointment times so that is significantly reduced. This sets according series process steps each must follow service...