Tag Archives: Newark

The Digital Factory Transformation Process To Reduce / Detect / Eliminate Human Errors In Computer Numerically Controlled Systems: 2019 Spring Mini Ott ASQ NJIT Quality Conference

Organized and presented by Professor Paul G Ranky with invited speaker Robert Hacker, Director of StartUP FIU in Miami, FL, professor of entrepreneurship and social entrepreneurship at Florida International University, and NJIT Makerspace Colleagues and Students. Following this ASQ tradition, this Spring we are pleased to take our attendees to the new NJIT Makerspace, a $11.6 million hi-tech facility. During this event we’ll focus on how companies should focus on their digital quality transformation journey supported by human error prevention, detection and eventual human error elimination principles, methods, tools, technologies and workflows. A very exciting topic, that can save huge amounts for any organization! The advanced, computer controlled manufacturing, 3D printing, additive manufacturing and quality principles, methods, tools and practical examples presented are applicable to almost any factory, organization / business.

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March 2019 Section Meeting: Implications of Automation and Artificial Intelligence for Improving Quality and Productivity

Please join us this month for an high level overview of using Artificial Intelligence in Insurance and Legal Industries lead by Faheem Munshi. Some practical business use cases will be reviewed which has or currently is improving quality/productivity and reducing risks across the organization. Also, top ethical issues in artificial intelligence such as biasness, job and data security will be discussed.

Presented By: Faheem MunshiPhoto: Faheem Munshi

  • Accomplished Manager and Leader with more than 12 years of experience in Process Improvement,
    Operational Excellence, Agile IT Project Management, Process Automation, Quality in Manufacturing & Finance industries.
  • Currently, Assistant Vice President in Process Excellence in AIG driving the strategy for implementing process automation, artificial intelligence solutions for AIG Global Legal Department.
  • Certified Six Sigma Master Black Belt and Black Belt

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November 2018 Section Meeting: Smart, Feedback Controlled, On-demand Manufacturing Systems To Enable Zero-defect Production

Smart, Feedback Controlled, On-demand Manufacturing Systems To Enable Zero-defect Production:
2018 Fall Mini Ott ASQ NJIT Quality Conference

Following this ASQ tradition, this Fall we are pleased to take our attendees to the new NJIT Makerspace, a $11.6 million hi-tech facility. During this even we’ll focus on how companies should focus on their digital quality transformation journey supported by smart feedback controlled manufacturing and fabrication systems to enable zero-defect / outstanding quality production. A very exciting topic, that can save huge amounts for any organization! The quality methods, tools and practical examples presented are applicable to almost any factory, organization / business.

In the first half of the program we’ll visit our new Makerspacer laboratory at NJIT to explain and demonstrate how smart, feedback controlled, on-demand manufacturing and fabrication systems can enable zero-defect production results.

In the second half of the program we’ll join another laboratory to perform our Quality Analysis and Modeling Methods Using Lean Six-sigma Statistical Tools by Paul G Ranky and his students.

Date & Time: Tuesday, 11/13/2018 6:00pm – 9:00pm

Location: This will take place in the NJIT GITC building, room 2305. Newark, NJ
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October 2018 Section Meeting: Quality Aspects as Artificial Intelligence Progresses

Beginning with a thought exercise on robots, we will consider aspects of intelligence we have come to expect from automation. Given two clear technology trajectories and certain potential technical disruptors, we’ll consider the time-distance to a horizon beyond which we cannot see clearly. Next is the hard part: what defines the intelligence quality? Assuming artificial intelligence (AI) is a bundled set of responses to stimuli and query, a personality will emerge. What kinds of personalities are we going to specify in upcoming technology? Who will corporations entrust to set the tolerances for mission assurance parameters and establish risk registers? This talk will make the case that because of AI’s shortening of the time-horizon in technology, leadership positions will transition from engineers to liberal arts majors.

Presented By: Dr. Beth Kujan, PMP, LEED AP BD+C

Beth Kujan – Dr. Kujan is a classically trained materials scientist and an engineering project manager. She currently works at NJIT on a grant to support talent networks in Life Sciences, Health Care, Advanced Manufacturing and Construction and Utilities by providing specialized data analysis and information on technology trends. Prior to NJIT, she served as VP Market development for ARL Designs LLC, an advanced materials startup company. Dr. Kujan secured $1M+ in grants and paid evaluations from potential customers. Like many engineers in NJ, Dr. Kujan is an alumna of Bell Labs Murray Hill. She was a founding board member of Green Vision, Inc. a 501c3 hiring an autistic workforce.

Dr. Kujan earned her PhD in Materials Science from Cornell University and her BS from MIT. She holds a Project Management Professional (PMP) Certification. Dr. Kujan currently freelances as a project manager and/or subject matter expert.

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Section Meeting: What Does cGXP Mean And What Are The Differences Between cGLP, CGMP and cGCP?

Many of us work in a regulated environment. We may work on the manufacturing floor of a pharmaceutical company or we may work in a clinical laboratory in a hospital. Many of us may work in a government laboratory or in an academic laboratory in a university. There is a common thread impacting all these settings which is known as cGXP. cGXP is a set of regulations which impact an organization to stay within compliance so as not to harm the public and result in closure of the institution. Within cGXP there are three categories which impact most workplaces and they are; cGMP, cGCP and cGLP. I will explain how these categories differ and the consequences that occur by not following these regulations. I am hoping that after this presentation, if you see something that is incorrect at your work place you will be able to cleverly point it out to your QA/compliance manager.

Whether it is in the laboratory, manufacturing floor or in the clinic there are regulatory requirements to be met. cGXP for the most part are the guiding regulations and there is confusion how these regulations differ. Please attend this meeting to find out.
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ASQ NJIT Fall Ott Conference – October 9th, 2017

Join us for the ASQ NJIT Fall Ott Conference on Visual Factory Management, Collaborative Robotics, Lean six-sigma Methods, Tools and Case Studies, organized by the NJIT ASQ Student Leadership Team: Michelle Vollo, President, Jovana Stijovic and Jelena Stijovic, Vice Presidents, Avery Bechtel, Program Chair, Philip Lelikov, Secretary, Terry Asante, Educational Chair, and Paul G Ranky, Founding Academic Advisor.

Several presenters will discuss Visual Factory Management, Collaborative Robotics, Lean six-sigma Methods, Tools and Case Studies in academia, as well as in industry. The core focus is Zero Defect Devices, Production, Service and Systems, including Root Cause Analysis (RCA). Root Cause Analysis is an essential first step when starting a six-sigma study for process improvement by controlling variations. RCA is generally applicable in situations where a defect occurs and there is a possibility that it might be beneficial to identify and address the real cause so that the situation does not occur again.

Every session will follow an interactive workshop style.

Event Date & Time: October 9, 2017, 6 to 9 pm

Location: NJIT (New Jersey Institute of Technology), Newark, NJ 07102, GITC building, room 2305

www.njit.edu (Parking is available, please email Dr Ranky: ranky@njit.edu well in advance; thanks!)
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Reminder: Are you attending next week’s Section Meeting?

There is still time to register for next week’s section meeting Healthcare Process Improvement – Early Sepsis Identification

Date & Time: June 13, 2017 from 6:30 – 8:30 PM

Location: Spanish Tavern 103 McWhorter Street – Newark, NJ 07105 (MapIt)
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June Section Meeting: Healthcare Process Improvement – Early Sepsis Identification

Sepsis is associated with a high risk of mortality. The number of deaths in US due to sepsis has increased from 154,159 in 2000 to 207,427 in 2007. The main objective of this presentation is to demonstrate utilization of process improvement and system redesign methodologies for the purpose of improving broad spectrum antibiotics administration within 1 hour of severe sepsis/septic shock recognition, and studying its effect on mortality.
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