
Miad Bin Mostafiz
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Miad Bin Mostafiz
- 1 Jahr und 2 Monate, Juni 2025 - Juli 2026
Solution Consultant
Diverzent
1. Lead B2B technical consulting across ERP, operational planning, IE tools, and ESG software solutions for manufacturing clients. 2. Implemented AI-assisted production planning and line-simulation systems to drive supply chain digitization and process automation. 3. Conducted process deep-dive workshops with clients to identify operational bottlenecks, achieving an average 2.15% reduction in cycle time
- 7 Monate, Juli 2024 - Jan. 2025
Management Trainee
Urmi Group
Garments Manufacturing Industry 1. Completed rotational training across supply chain, industrial engineering, QA, cutting, and finishing to gain end-to-end production exposure. 2. Streamlined warehouse workflows, reducing cycle time by 5% and inventory discrepancies by 2%. 3. Applied Value Stream Mapping (VSM) and digital Kanban systems to eliminate bottlenecks and maintain quality consistency.
- 1 Monat, Mai 2023 - Mai 2023
Intern (Training)
Bangladesh Industrial Technical Assistant Center
Practical industrial training at an autonomous government research center focused on advanced manufacturing processes. Gained practical exposure to CNC machining, 3D printing, foundry casting, heat treatment, and precision quality inspection across light and heavy machine shop operations.
- 1 Monat, Juni 2022 - Juni 2022
Industrial Trainee (Intern)
Bay Footwear Ltd.
Gained practical exposure to supply chain workflows, inventory management, and operational analysis in rubber footwear manufacturing. Identified key production bottlenecks and process disruptions contributing to 10% of operational anomalies.
Ausbildung von Miad Bin Mostafiz
- Bis heute 1 Monat, seit Sep. 2026
Technology and Innovation Management
Hochschule Harz
- 5 Jahre und 1 Monat, März 2019 - März 2024
Industrial and Production Engineering
University of Dhaka
Thesis: Developed a Andon-TPM framework to minimize bottlenecks in operations. A realtime feedback management principle to apply lean methodologies in a beverage industry. Research: Supply Chain Risk Management through operations research principles( MCDM-ISM & TOPSIS) and evaluating most feasible solutions.
Sprachen
Englisch
C1 (Fließend)
Deutsch
A1-A2 (Grundkenntnisse)
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