Benha University

Ibrahim Ahmed Elshafey Ahmed

Demonstrator

Faculty of Engineering, Benha Mechanical Engineering

A Framework to Enhance Green Factories by Applying Lean Production Concepts: A Case Study

Engineering • 2026
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Publication Information
Authors Ibrahim Elshafey, Sameh Naeem Seleem, Ahmed El-Assal
Keywords Value stream mapping, non-value-added, Kanban pull systems, environmental impact.
Journal Engineering
Publisher Scientific Research Publishing Inc
Volume 18
Issue 8
Pages 241-263
publication.type International
Paper Link Open Link
Supplementary Materials Not Available
Abstract
In the last decades, competition between several industries to deliver highquality products is marginally increasing in terms of costs and performance.
Lean is one of those activities that focuses on reducing costs by eliminating
non-value-added activities. This factory faces various wastes in its production
process, including defects, waiting, unnecessary inventory, overprocessing,
unnecessary motion, overproduction, and transportation. This study uses a
lean manufacturing approach, Value Stream Mapping, to identify and minimize waste, enhance production time efficiency. Meanwhile, green manufacturing is an approach that seeks to achieve measurable and significant environmental improvements. In this research, we study the causal relationship
between lean and green manufacturing. We apply several lean tools to enhance
the efficiency of a mixed
future state VSM incorporating Kanban pull systems, supermarket buffers,
-product production line used in vehicle assembly. A
and 5S workplace organization was developed and validated. Through the
study, we found out that lean and green have a strong relationship in terms of
waste elimination, resource efficiency, and environmental impact reduction,
where the implementation of lean tools simultaneously achieves both operational excellence and sustainability objectives. Quantitative results demonstrate a lead time reduction from 178.453 to 15.883 days (a 91.099% decrease).
These percentages have a direct effect on the flow of materials and information, save raw materials for other uses, free up people to work on other
products, and change the amount of electricity used, the amount of water used
in cooling systems for injection processes, and the amount of inventory in
warehouses. In the end, they affect the percentage of defective products.
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