| DMU logo

Ammar Noorwali

Job: PhD Candidate

Faculty: Technology

School/department: School of Engineering and Sustainable Development

Research group(s): Lean Engineering Research Group, Advanced Manufacturing Processes and Mechatronics Centre

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: N/A

E: p09052652@myemail.dmu.ac.uk

W: https://www.linkedin.com/profile/view?trk=tab_pro&id=120379502

 

Personal profile

After completing a BSc course in Industrial System Engineering in 2005, I worked for 20 months as a Process Improvement Team Manager in the National Biscuits and Confectionary Company (NBCC) in Jeddah, Saudi Arabia. I worked as a process improvement team manager in the Operations Management Department to improve the efficiency more than fourteen production lines.  

In order to improve my knowledge and skills in operations management, I started an MSc course in Supply Engineering and Logistics at Warwick University which is one of the top universities in the UK. During my dissertation project I became interested in applying the concept of ‘Lean’ to reduce waste and increase efficiency. Because of this interest, I decided to start a PhD with the Lean Engineering group at De Montfort University in 2010. In addition, I certified by Black Belt lean six sigma.

I am looking forward to applying my knowledge and skills for lead the change and process improvement.

Key research outputs

Apply MTS-MTO & Rule Base in Food Flow Processing System|
NOORWALI, A. (2014) Apply MTS-MTO & Rule Base in Food Flow Processing System. International Journal of Scientific & Engineering Research, Vol 5, pp. 11.

Apply Lean and Taguchi in Different Level of Variability in Food Flow Processing System|
NOORWALI, A. (2013) Apply Lean and Taguchi in Different Level of Variability of Food Flow Processing System. Procedia Engineering, Vol. 63, pp. 728-734.

Investigating Types of Variability on Food Flow Processing System| NOORWALI, A., KHALIL, R. & STOCKTON, D. (2012) Investigating Types of Variability on Food Flow Processing System International Conference on Manufacturing Research Aston University Birmingham Aston Business School, Vol. 1 , pp. 104-108.

 

Research interests/expertise

  • Combined lean and artificial intelligent for improve flow processing system.
  • Application of Lean manufacturing techniques to low variety/high volume manufacturing environments and services operations.
  • Operations planning within industrial and service organizations, improving process competencies and autonomous decision making.
  • Apply Taguchi Orthogonal array for investigating different types of variability in flow processing system.  
  • Apply rule based system for reduce variability in flow processing system.
  • Applications of simulation and mathematical modeling.
  • Reduce different types of variability in food flow processing system. 
  • Application of Lean Six sigma for process improvement (certified Lean six Sigma Black Belt). 
  • Improve supply chain management performance. 
  • Process mapping for identify value and none-value activities.

Qualifications

2010 – 2015    De Montfort University, Leicester, UK 
PhD. Advanced Process Engineer and Lean Six SigmaTitle: Reduce the level of variability in food flow processing system.

Summary: The proposed methodology combines; Process mapping; it is a lean tool for identifying value and non-value activities. Simulation modeling; is for mirroring the real production line. Taguchi Orthogonal Arrays; is for generate different scenarios and then apply correlation for help in identify the highest variable (working). Rule based system; is an artificial intelligent tool for improve the highest variable areas.Achievement: The achievement was increase working in bottleneck areas as the following:

  • Baking 4%
  • Cooling conveyor 16%
  • Packing 6%


2008-2009    Warwick University, Coventry, UK 
MSc. Supply Engineering and LogisticsDissertation: Barriers of performance measurement across the supply chain

Modules studied included: Logistic & operations management, Procurement and Inventory,   Problem solving with statistics, Supply chain management, Financial analysis and control system, Transport techniques and management, organization and people performance, storage and warehousing techniques , e-commerce , global business environment.

 

2000 - 2005    King Abdulaziz University, Jeddah, Saudi Arabia
BSc. Industrial (System) Engineering 

Dissertation: Develop parking system by using automatic identification and data captureModules studies included: Operational Research, Industrial Management, Value Engineering, Quality Control, Statistics, Work Study, Human Factor, Information System, Fundamental of Computer, Oracle, C++, Operation Management, Simulation, Entrepreneurship, and Facility Planning. 

Conference attendance

NOORWALI, A. (2013) Apply MTS-MTO and Principle Component in Food Flow ProcessingInternational Conference in Production and supply chain management Rome, Itlay.

NOORWALI, A. (2013) Apply Lean and Taguchi in Different Level of Variability of Food Flow Processing System. 5th manufacturing Engineering Society International Conference, MESIC 2013 Zaragoza, Spain University of Zaragoza.

NOORWALI, A., KHALIL, R. & STOCKTON, D. (2012) Investigating Types of Variability on Food Flow Processing System International Conference on Manufacturing Research Aston University Birmingham Aston Business School.

Posters presented:

NOORWALI, A. (2012) Reduce High Variability Level in Food Processing. Show case. De Montfort University

NOORWALI, A. (2011) Mixed Types of Variability in Food processing system Show case. De Montfort University

NOORWALI, A. (2011) Investigate Mixed Level of Variability in Food processing system Poster competition. De Montfort University

Search Who's Who

 
News target area image
News

DMU is a dynamic university, read about what we have been up to in our latest news section.

Events target area image
Events

At DMU there is always something to do or see, check out our events for yourself.

Mission and vision target area image
Mission and vision

Read about our mission and vision and how these create a supportive and exciting learning environment.