model

How Apple Is Organized for Innovation: The Leadership Model

Apple leaders need deep expertise, immersion in details, and collaborative debate.




model

Creating Leader Standard Work (LSW) Across a Distributed Business Model — Webinar Preview

I'm happy to be hosting and moderating this webinar that will be presented by Brent Loescher, a fellow instructor with me at TKMG Academy. A Lean practitioner at heart, Brent received his formal Toyota Production System training while working for Toyota Motor Sales in their North American Parts Operations. He helped develop a Lean program for the landscape maintenance industry, implementing and evolving continuous improvement programs across the country since 2009. This included co-leading a […]

The post Creating Leader Standard Work (LSW) Across a Distributed Business Model — Webinar Preview by Mark Graban appeared first at Lean Blog.




model

3D Scanning and Model-Based Definition: A New Look at GD&T

The use of advanced 3D scanning tools is revolutionizing quality control, design, and manufacturing, particularly with the adoption of digital standards and 3D printing. However, this shift presents challenges in maintaining consistent standards globally and across different regulations.




model

Canadian Blood Services research engineer applies network modelling techniques and mentorship skills to benefit Canada’s Lifeline

Canadian Blood Services research engineer applies network modelling techniques and mentorship skills to benefit Canada’s Lifeline


Tuesday, October 22, 2024 Dr. Emily Freeman

Dr. John Blake is a research engineer at Canadian Blood Services and a Professor in the Department of Industrial Engineering at Dalhousie University. Based in Halifax, Nova Scotia, Dr. Blake and his trainees use engineering principles and various computer-based optimization techniques to inform large scale decisions at Canadian Blood Services.  

Applying network modelling to biologics  

To some, it may be surprising to learn that there is such opportunity to integrate engineering into the health-care focused setting of Canadian Blood Services. However, as Dr. Blake explains, the same engineering principles that apply to the development and quality assurance of other products also apply to biologics such as blood, stem cells and organs. One of these classic engineering approaches currently applied to improving operations at Canadian Blood Services is network modelling.  

Network modelling is a computer-based method that creates a virtual representation of objects and their relation to each other. The resulting models are particularly useful for maintaining adaptability in the collection of blood donations, as well as the distribution and inventory management strategies that allow Canadian Blood Services to remain a safe and reliable provider of life-saving products. 

Dr. Blake making friends while walking the Camino de Santiago in Spain

Contributing to efficiency and sustainability in Canada’s Lifeline  

For Dr. Blake’s team, modelling is not about the data acquired but rather how they can turn existing data into real life change. Part of this approach is ensuring that Canadian Blood Services is asking the right questions when it comes to allocating resources. For example, Dr. Blake has worked on models to assess how changing stem cell donor recruitment will affect the number of matches for Canadian patients. By modelling things such as recruitment approaches, Dr. Blake’s work assists Canadian Blood Services to consistently identify ways to improve Canada’s Lifeline.

Recently, Dr. Blake has also been applying this method to optimize the number and location of mobile and permanent donor facilities across the nation. This redesign of the donation facility network will address the growing demand for donations by bringing Canadian Blood Services’ facilities closer to the donors. 

“I have waited my entire career for a problem of this type – it is truly a once in a lifetime opportunity.”

Dr. John Blake, Canadian Blood Services Research Engineer

Securing the future of Canada’s Lifeline  

To sustain a safe and effective blood system in Canada for years to come, network modelling and optimization is a never-ending process. This is one of the reasons that Dr. Blake is committed to securing the future of transfusion and transplantation systems by training and mentoring the next generation of engineers. In fact, seeing his former students join Canadian Blood Services and dedicate their talents to improving the future of Canada’s Lifeline is one of Dr. Blake’s proudest achievements.  

One of Dr. Blake’s former students, Matt Nelson, is now an industrial engineer at Canadian Blood Services.  

“In my role, I use systematic thinking to build and run complex models; collect and analyze the required data; produce useful results; and explain these results to non-technical leaders on a regular basis,” Matt says. Recently, Matt contributed to the launch and expansion of pathogen-reduced platelets, a new product that was implemented across Canadian Blood Services production sites starting in 2022. The implementation of pathogen-reduced platelets has provided an additional layer of safety for recipients by reducing the risk of potential transfusion-transmitted pathogens without compromising the quality of the component. Matt credited Dr. Blake in helping him develop the necessary skills he now dedicates to safeguarding Canada’s Lifeline:  

“Dr. Blake was the professor who introduced me to the uses of simulation to understand complex non-linear systems. This type of system is very common in situations that have a lot of variability – like the blood system – and simulation allows for exploration of the response of the system to changes.” 

Matt Nelson, Canadian Blood Services Industrial Engineer

Over the years, Dr. Blake’s ongoing modelling work and mentorship activities have also led to many recognitions and awards, but he is most proud of being recognized as Professor of the Year by Dalhousie Undergraduate students, and with awards for his contributions to the Canadian Operational Research Society. He has even the earned the distinction of being Dalhousie’s first engineer to be awarded grant funding from the tri-council agency, Social Sciences and Humanities Research Council (SSHRC). 

“I am proud to work on projects that have a measurable impact on people’s health and well-being,” Dr. Blake says. “I am forever grateful to Dr. Dana Devine for first giving me the opportunity to serve Canadians in this role at Canadian Blood Services.” 


Canadian Blood Services – Driving world-class innovation

Through discovery, development and applied research, Canadian Blood Services drives world-class innovation in blood transfusion, cellular therapy and transplantation—bringing clarity and insight to an increasingly complex healthcare future. Our dedicated research team and extended network of partners engage in exploratory and applied research to create new knowledge, inform and enhance best practices, contribute to the development of new services and technologies, and build capacity through training and collaboration. Find out more about our research impact.   

The opinions reflected in this post are those of the author and do not necessarily reflect the opinions of Canadian Blood Services nor do they reflect the views of Health Canada or any other funding agency.  

Related blog posts


Tuesday, March 29, 2022
Marie-Soleil Smith

This post was written by Marie-Soleil Smith, PhD Candidate in Dr. Hélène Côté’s Lab at the University of British Columbia, and edited by Dr. Geraldine Walsh, knowledge broker at Canadian Blood Services. It originally appeared on the Centre for Blood Research blog in March 2022.


Monday, January 22, 2018
Dr. Geraldine Walsh

For the latest instalment of “Meet the researcher” we chatted with Dr. John Blake, Canadian Blood Services’ research engineer and also known as “the numbers guy”.


Wednesday, June 13, 2018
Jenny Ryan

On June 5, Canadian Blood Services was honoured to accept the Canadian Operational Research Society's Omandt Solandt Award at a reception in Halifax, Nova Scotia. Michelle Rogerson, Director, Supply Chain (Atlantic), Canadian Blood Services, accepted the award on behalf of the organization. About...




model

Computer Models Reveal Solar Polar Vortices for First Time




model

Model-Driven Innovation in Machine Design

How virtual prototyping and dynamic load analysis can help reduce machine design costs and get to market faster.




model

Model-Driven Innovation in Machine Design

How virtual prototyping and dynamic load analysis can help reduce machine design costs and get to market faster.




model

MapleSim 2016.2 Improves Modeling Workflow and Tool Chain Connectivity

The latest release of MapleSim has arrived, carrying with it some major updates to the software such as visualization improvements, revision control and new options for toolchain connectivity.




model

HVAC Educators Grade the Trade School Model

Regardless of the teaching profession’s demands and challenges, many HVACR instructors continue to instruct because of their unconditional love for the trades and desire to prepare the industry’s next generation.




model

Unico Makes High Efficiency EC Motors Standard for All Blower Models

Unico Inc. announced it is making highly efficient EC motors standard for all blower models within its modular air handling units.




model

Emerson Supports More Efficient Ice Machines with New Simulation Model

Emerson Climate Technologies has filed a patent application for a simulation model of a commercial ice machine to support development of more efficient equipment that can meet upcoming U.S. Department of Energy (DOE) targets.




model

Carrier, Honeywell Selling RTUs Through Energy as a Service Model

Working through one company and a fixed stipend, EaaS/EEaaS is designed to simplify and streamline all on-site efficiency upgrades, eliminating massive equipment costs, supply chain delays, unexpected maintenance charges, and more.




model

Episode 5: Model-Driven Software Development Pt. 1

In this Episode, Eberhard and Markus provide an introduction to Model-Driven Software Development. Since the discussion turned out to be too long, we separated things into two episodes, thus Episode 6 will be the second part of this discussion. In this first part we disucsss core concepts of MDSD, the relationship to MDA, and hint at a couple of tools.




model

Episode 6: Model-Driven Software Development Pt. 2

After discussing some of the more technical aspects of MDSD in the last episode, we take a look at other important topics in this one. This includes some tips on how to introduce MDSD into projects and how the development process has to be adapted for this to work, as well as a look at the return on investment for MDSD. The relationship of MDSD and Agile software development is also discussed. Finally, we take a look at offshoring in the context of MDSD.




model

Episode 94: Open Source Business Models with Dirk Riehle

In this episode we're talking to Dirk Riehle about open source business models. We started looking at the way OS projects work and defined different kinds of open source projects. In the main part of the discussion we looked at various ways of how to make money with open source: consulting, support contracts, commercial variant of an open source project, etc. We then looked at the chances and risks of each of these approaches. The next part focused on different open source licenses and how they are suitable for open source business. We concluded the episode by discussing a couple of specific questions and loose ends. After the show, Dirk informed me about the following three corrections: Black Duck Software's main product is called protexIP not IP Central, there are presently 70 licenses approved by the Open Source Initiative, and EnterpriseDB has so far acquired $37M in venture capital




model

SE-Radio-Episode-249:-Vaughn-Vernon-on-Reactive-Programming-with-the-Actor-Model




model

SE-Radio Episode 353: Max Neunhoffer on Multi-model databases and ArangoDB

Max Neunhoffer of ArangoDB discusses about multi-model databases in general, and open source ArangoDB, in specific, with show host Nishant Suneja. The show discussion covers motivation behind deploying a multi-model database in an enterprise setting, and deep dives into ArangoDB internals.




model

416: Adam Shostack on Threat Modeling

Adam Shostack of Shostack & Associates and author of Threat Modeling: Designing for Security discussed different approaches to threat modeling, the multiple benefits it can provide, and how it can be added to an organization’s existing software proc




model

Episode 539: Adam Dymitruk on Event Modeling

Adam Dymitruk, CEO and founder of Adaptech Group, joins host Jeff Doolittle for an exploration of the event modeling approach to discovering requirements and designing software systems. Adam explains how the structured approach eliminates the specifics of implementation details and technology decisions, enabling clearer communication for all stakeholders while keeping conversations focused on the business opportunity. Using concrete examples of event modeling in practice, they examine event modeling in the context of other related approaches and methodologies, including event sourcing, event storming, CQRS, and domain-driven design.

 




model

Episode 549: William Falcon Optimizing Deep Learning Models

William Falcon of Lighting AI discusses how to optimize deep learning models using the Lightning platform, optimization is a necessary step towards creating a production application. Philip Winston spoke with Falcon about PyTorch, PyTorch Lightning...




model

SE Radio 610: Phillip Carter on Observability for Large Language Models

Phillip Carter, Principal Product Manager at Honeycomb and open source software developer, talks with host Giovanni Asproni about observability for large language models (LLMs). The episode explores similarities and differences for observability with LLMs versus more conventional systems. Key topics include: how observability helps in testing parts of LLMs that aren't amenable to automated unit or integration testing; using observability to develop and refine the functionality provided by the LLM (observability-driven development); using observability to debug LLMs; and the importance of incremental development and delivery for LLMs and how observability facilitates both. Phillip also offers suggestions on how to get started with implementing observability for LLMs, as well as an overview of some of the technology's current limitations. This episode is sponsored by WorkOS.




model

Blended Learning and Career and Technology Education - Part II: Blended Learning Models


In this four-part series, I’ll define blended learning, discuss the models of blended learning, the implications for career and technical education, and how the Curriculum, Assessment, and Digital Delivery (CADD) areas of the Oklahoma Department of Career and Technology Education can assist in the implementation of blended learning.

As I mentioned in the first post in this series, technology has created a personalized access to the world where we can connect and learn… where we can create and share.  Almost every aspect of our lives have been changed by technology, except... education.

I believe blended learning can have a profound effect upon career and technology education in many instructional ways which will be discussed in the next post.  There are certain elements of blended learning that already occur in CTE and some may be doing an excellent job as I write this, but I’m not aware of research that helps decide if one model works better with any certain occupational area (if you know of any research in this area, PLEASE SHARE!!).

The Clayton Christensen Institute for Disruptive Education defines blended learning as “a formal education program in which the student learns:

(1) at least in part through online learning, with some element of student control over time, place, path, and/or pace;

(2) at least in part in a supervised brick-and-mortar location away from home;

(3) and the modalities along each student’s learning path within a course or subject are connected to provide an integrated learning experience.”

The Models 

The majority of blended-learning programs resemble one of four models: Rotation, Flex, A La Carte, and Enriched Virtual. The Rotation model includes four sub-models: Station Rotation, Lab Rotation, Flipped Classroom, and Individual Rotation.

1. Rotation model — a course or subject in which students rotate on a fixed schedule or at the teacher’s discretion between learning modalities, at least one of which is online learning. Other modalities might include activities such as small-group or full-class instruction, group projects, individual tutoring, and pencil-and-paper assignments. The students learn mostly on the brick-and-mortar campus, except for any homework assignments.

a. Station Rotation — a course or subject in which students experience the Rotation model within a contained classroom or group of classrooms. The Station Rotation model differs from the Individual Rotation model because students rotate through all of the stations, not only those on their custom schedules.

b. Lab Rotation – a course or subject in which students rotate to a computer lab for the online-learning station.

c. Flipped Classroom – a course or subject in which students participate in online learning off-site in place of traditional homework and then attend the brick-and-mortar school for face-to-face, teacher-guided practice or projects. The primary delivery of content and instruction is online, which differentiates a Flipped Classroom from students who are merely doing homework practice online at night.

d. Individual Rotation – a course or subject in which each student has an individualized playlist and does not necessarily rotate to each available station or modality. An algorithm or teacher(s) sets individual student schedules.

2. Flex model — a course or subject in which online learning is the backbone of student learning, even if it directs students to offline activities at times. Students move on an individually customized, fluid schedule among learning modalities. The teacher of record is on-site, and students learn mostly on the brick-and-mortar campus, except for any homework assignments. The teacher of record or other adults provide face-to-face support on a flexible and adaptive as-needed basis through activities such as small-group instruction, group projects, and individual tutoring. Some implementations have substantial face-to-face support, whereas others have minimal support. For example, some Flex models may have face-to-face certified teachers who supplement the online learning on a daily basis, whereas others may provide little face-to-face enrichment. Still others may have different staffing combinations. These variations are useful modifiers to describe a particular Flex model.

3. A La Carte model — a course that a student takes entirely online to accompany other experiences that the student is having at a brick-and-mortar school or learning center. The teacher of record for the A La Carte course is the online teacher. Students may take the A La Carte course either on the brick-and-mortar campus or off-site. This differs from full-time online learning because it is not a whole-school experience. Students take some courses A La Carte and others face-to-face at a brick-and-mortar campus.

4. Enriched Virtual model — a course or subject in which students have required face-to-face learning sessions with their teacher of record and then are free to complete their remaining coursework remote from the face-to-face teacher. Online learning is the backbone of student learning when the students are located remotely. The same person generally serves as both the online and face-to-face teacher. Many Enriched Virtual programs began as full-time online schools and then developed blended programs to provide students with brick-and-mortar school experiences. The Enriched Virtual model differs from the Flipped Classroom because in Enriched Virtual programs, students seldom meet face-to-face with their teachers every weekday. It differs from a fully online course because face-to-face learning sessions are more than optional office hours or social events; they are required.



Next- Blended Learning and Career and Technology Education - Part III: Blended Learning Implications for CTE





model

Conceptual Model of Smart Grid Framework by IEC

From a communication point of view, each system plays the role of either supplier or consumer of information, or more typically both. In addition to this intersystem communication, these systems consist of subsystems with specific internal communications. The following paragraphs... Read more

The post Conceptual Model of Smart Grid Framework by IEC appeared first on EEP - Electrical Engineering Portal.




model

Flexicon Introduces Base Model Flexible Screw Conveyor

The only moving part contacting material is the inner screw, which self-centers as it rotates, providing ample space between the screw and tube wall to minimize or eliminate grinding.




model

This Wednesday! Tuition: Which Model Works Best for You?

What do you charge for your teaching? If you want to take a fresh look at your tuition model, join us on Wednesday for an online discussion about this most important subject.




model

Building Intelligent Models for Smarter and Safer Cities

Jim Grisanzio from Oracle Developer Relations talks with Gabriele Provinciali, an engineer and solutions architect at Oracle in Rome, about smart and safe city models built with Lego Bricks, Arduinos, Raspberry Pis, and a variety of IoT edge sensors all connected to the Oracle Cloud. Twitter ThreadVideo on YouTube.

Oracle News Connect Article

Gabriele Provinciali, Solution Architect, Oracle Cloud Infrastructure

ProximaSafe: Joining the Dots in OCI to build a Stream Analysis Lab

Jim Grisanzio, Oracle Developer Relations




model

REIT Remodels Office Space to Be Post-Pandemic Friendly




model

Model OSCE 2016

General
Thu, 2016-09-15 09:00 - Sun, 2016-09-18 18:00
Moldova
OSCE Mission to Moldova
OSCE Mission to Moldova
Eastern Europe
Conflict prevention and resolution

The Model OSCE is a simulation game that reproduces an OSCE Permanent Council meeting during a crisis situation.

Participants will each represent an OSCE participating State and work together to resolve the crisis.

The OSCE Mission to Moldova is looking for students who would like to participate in the Model OSCE 2016. The participants will receive essential negotiation skills training from an international OSCE expert.

Participation in the event is free of charge. Accommodation, transportation and meals will be provided by the OSCE Mission to Moldova for the duration of the event.

The application form can be downloaded here. It should be sent along with the applicant’s CV to Sergiu.Cotorobai@osce.org by 11 July 2016.




model

[ K.Sup31 (10/22) ] - ITU-T K.118 - Requirements for lightning protection of fibre to the distribution point equipment - Modelling earth potential rise

ITU-T K.118 - Requirements for lightning protection of fibre to the distribution point equipment - Modelling earth potential rise




model

[ H.862.0 (11/19) ] - Requirements and framework for ICT sleep management service models

Requirements and framework for ICT sleep management service models




model

[ M.3164 (07/20) ] - Generic information model for on-site telecommunication smart maintenance

Generic information model for on-site telecommunication smart maintenance




model

[ M.3186 (08/24) ] - Shared information and data model (SID) for network operation cost management

Shared information and data model (SID) for network operation cost management




model

[ Y.3179 (04/21) ] - Architectural framework for machine learning model serving in future networks including IMT-2020

Architectural framework for machine learning model serving in future networks including IMT-2020




model

[ Y.Sup69 (05/21) ] - Web-based data model for Internet of things and smart city systems and services

Web-based data model for Internet of things and smart city systems and services




model

[ Y.4563 (11/21) ] - Requirements and functional model to support data interoperability in IoT environments

Requirements and functional model to support data interoperability in IoT environments




model

[ Y.3057 (12/21) ] - A trust index model for ICT infrastructures and services

A trust index model for ICT infrastructures and services




model

HSTP-IPTV-ISPF - IPTV retail service provider model

HSTP-IPTV-ISPF - IPTV retail service provider model




model

XSTR-USM - Unified Security Model (USM) - A neutral integrated system approach to cybersecurity

XSTR-USM - Unified Security Model (USM) - A neutral integrated system approach to cybersecurity




model

[ J.1020 (10/17) ] - Service model and architecture of downloadable mobile multi-CA/DRM solutions for delivering CA/DRM client software to secondary devices

Service model and architecture of downloadable mobile multi-CA/DRM solutions for delivering CA/DRM client software to secondary devices




model

[ F.748.20 (12/22) ] - Technical framework for deep neural network model partition and collaborative execution

Technical framework for deep neural network model partition and collaborative execution




model

[ F.748.17 (12/22) ] - Technical specification for artificial intelligence cloud platform - Artificial intelligence model development

Technical specification for artificial intelligence cloud platform - Artificial intelligence model development




model

[ D.600R (2000) Amendment 1 (07/21) ] - Amendment 1 - Annex B: Guidelines for implementing efficient cost models for telecommunication service tariffs in the Africa region

Amendment 1 - Annex B: Guidelines for implementing efficient cost models for telecommunication service tariffs in the Africa region




model

[ X.1361 (09/18) ] - Security framework for the Internet of things based on the gateway model

Security framework for the Internet of things based on the gateway model




model

[ X.1450 (10/18) ] - Guidelines on hybrid authentication and key management mechanisms in the client-server model

Guidelines on hybrid authentication and key management mechanisms in the client-server model




model

[ G.8052/Y.1346 (12/18) ] - Protocol-neutral management information model for the Ethernet transport capable network element

Protocol-neutral management information model for the Ethernet transport capable network element




model

[ G.7721 (11/18) ] - Management requirement and information model for synchronization

Management requirement and information model for synchronization