تصميم خرائط تدفق قيمة كفوءة من الناحية الاقتصادية و البيئية : دراسة حالة في محطة كهرباء النجيبية الحرارية

الملخص EN

Achieving sustainability in manufacturing requires a comprehensive vision covering product design, manufacturing processes, manufacturing systems and even the entire supply chain to ensure that environmental, economic and social objectives are achieved.

This study aims to achieve sustainability in the manufacturing system by employing an economically and environmentally efficient value steam map.

However, the traditional value-flow map does not directly look at environmental and economic performance.

Economic and environmental.

The problem of the study was represented by several fundamental questions, the most important one was how to design a flow map of an economically and environmentally efficient value (Eco-VSM) to achieve sustainability in the production system of Al-Najibiyah Thermal Power Plant? The researchers used the entrance of the case study as an approach to test the hypothesis study plan and the selection of Najibiyah thermal power station in Basra field of the hypothesis study plan and its assumptions after verification of the results of the initial survey in the station, which confirmed the existence of real challenges for the management of the plant in the area of achieving sustainability in the system of electric power production as well as Accelerated indicators of surplus and environmental pollution of all kinds and the decline of indicators of economic and environmental sustainability.

The researchers used the simulation program to analyze current and future value flow scenarios.

The study reached several conclusions, the most important of which is that the use of simulation contributed to reduce costs and improve the indicators of energy, water and materials used and reduce the production cycle time across several scenarios and the possibility of designing a flow map of the value of environmentally and economically efficient through the use of simulation to achieve sustainability in the plant production system.