Abstract :

Lean manufacturing practices (LMPs) defined as a set of practices focused on reduction of wastes and non-value added activities from a firm’s manufacturing operations to improve operational efficiency in manufacturing processes. There is currently no systematic methodology available for selecting appropriate LMPs within a Solar Power Plants (SPPs) constraints. Therefore, this research aims to develop Smart-Assessment Model to Explore Workplace Wastes, Source of Wastes, and for Selecting Appropriate LMPs in SPPs. To achieve that, this research applies a multi-assessment model assessment method which involves the integration of the three main methodologies i.e. Qualitative, Quantitative and an Analytic Hierarchy Process (AHP) by conducting a mathematical connection between these three methodologies to the determination of waste in SPPs and identify the most important LMPs in SPPs. A case study was conducted to establish the effectiveness and validation of the proposed assessment in Jordan where it suffers from multiple problems in the energy sector. Our study finds that there is a clear difference in the types of waste in the TPPs and other staions according to different processes and that there is a difference in the weight of the effects of the LMPs according to the operational weight, financial, quality and quantity of waste. This research contributes to developing proposals to improve the method for selection of appropriate LMPs within a SPPs. Keywords: Solar Power Plant, Types of Waste, Waste Sources Assessment, Smart Assessment, artificial intelligence Lean Manufacturing Practices