## 1 Introduction and Goals of Research  
The solar industry revolves around leveraging solar radiation to produce electricity, a critical endeavor in today's context as we seek to transition towards environmentally resilient energy solutions [1]. Central to this objective is the principle of sustainability, which emphasizes the responsible management of resources to safeguard the ecological integrity of our planet. Solar power emerges as a prime exemplar of sustainability owing to its renewable character, affording continuous utilization without depletion. However, continuous innovation in supply chain practices along with advancements in manufacturing technology is indispensable to enhance the management of solar energy utilization [2]. The integration of cutting-edge equipment plays a major role in augmenting technical and logistical efficiency as well as the cost-effectiveness of solar panel systems, therefore enhancing their accessibility and scalability for a broader demographic [3]. In shifting our focus to the supply chain realm, we examine the integration of the manufacturing stage with distribution and eventual consumption by end users to establish an organic supply chain for solar panels, with a primary focus on supply chain optimization. This process is characterized by numerous interdependent components, requiring the coordination of various stakeholders, including manufacturers responsible for production and logistics entities charged with packaging and transporting the panels to their destinations. Throughout this continuum, copious amounts of data are generated related to production volumes, distribution logistics, and key performance indicators. Effectively analyzing this data is crucial to ensuring operational efficiency, something that highlights the significance of supply chain optimization. The strategic deployment of suitable methodologies is required, aiming at expediting the delivery of solar panels to individuals and organizations in need, all while upholding our commitment to environmental stewardship. This research builds on a previous conference paper [4] that investigated the impact of Big Data on logistics operations in manufacturing. Specifically, Route Optimization (RO) followed by Warehouse Management (WM) were identified as the preferred logistic strategies in the practical case of a solar panel company. The present paper aims to expand this perspective by proposing a flexible hybrid Multi-Criteria Decision-Making (MCDM) approach making use of the Decision-MAking Trial and Evaluation Laboratory (DEMATEL) and the Elimination et Choix Traduisant la Realite (ELECTRE) TRI. We begin by examining criteria formalized from the current literature and deemed pertinent to our field of application. These criteria will be weighted using DEMATEL, accounting for their interrelations. Subsequently, the proactive implementation of data-driven measures will be outlined for the preferred strategies mentioned above, namely route optimization and warehouse management. ELECTRE TRI will then assign these measures to classes representing the level of priority suggested for their implementation. Lastly, a sensitivity analysis will be conducted by varying criteria weights, suggesting specific measures based on specific criteria and providing a practical roadmap for practitioners in the solar industry. The paper is structured as follows. Section 2 provides a thorough literature review, examining key supply chain issues in the solar industry and discussing technology management within the field, along with existing MCDM approaches currently adopted to solve similar problems. Section 3 justifies our methodological choice by explaining the usefulness of applying the mentioned techniques and reporting relevant methodological details. In Section 4, a practical case study in the solar industry is described and addressed, with Section 5 presenting the corresponding findings. Section 6 presents the study's conclusions and analyzes potential directions of future research.