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Muhammad Burhan Akbar, industrial engineering officer

Muhammad Burhan Akbar

industrial engineering officer·diomand fabric limited (sepphire group)

Pakistan

Bachelor's degree, Computer Science

Work experience

Total years of experience: 1 years, 4 months

industrial engineering officer

March 2025 - Present

diomand fabric limited (sepphire group)

Shekhupura, Pakistan

March 2025 - Present

Conducted Washing time studies to establish and
maintain Standard Allowed Minutes (SAM) for GWP.
Calculated and updated SAM values based on
washing recipes and time Studies.
Conducting GDP time studies to improve floor target
and calculating SAM.
Verified and standardized SAM for accurate costing
and efficiency measurement across GDP and GWP
departments.
Facilitated operator promotions through performance
evaluations and skill assessments.
Making daily GDP production summary report.
Company industry:
Textile & Apparel Production

Education

Gomal University

October 2023

October 2023

Bachelor's degree, Computer Science

Pakistan

GPA (point): 3.66 out of 4

GPA (point): 3.66 out of 4

Bachelor of Science in Computer Science (BSCS), CGPA 3.66/4.00. Developed strong analytical, problem-solving, and data analysis skills applicable to industrial engineering and manufacturing environments. Experienced in process analysis, data management, and continuous learning. Demonstrated commitment to academic excellence and professional development.

Skills

method study

Expert

Bottleneck Identification

Expert

Productivity Analysis

Expert

Lean Manufacturing

Expert

Cost Reduction Techniques

Expert

Languages

English

Expert

Urdu

Native Speaker

Training and Certifications

Certifications
computer applications
logic college Sargodha
lean white belt
national textile university

Hobbies and interests

Learning New Skills

Gained practical knowledge of Industrial Engineering tools and techniques. Participated in process improvement and productivity enhancement activities. Developed skills in time study, capacity planning, and efficiency analysis. Contributed to identifying production bottlenecks and improvement opportunities. Successfully completed training and learning in textile manufacturing processes.