Although maintenance still in many industries is interpreted as a necessary evil, nowadays by increasing competitions in business, decision-making in maintenance management gets higher priority in order to continuously reduce production cost and increase profit margin. Cost-effective maintenance decisions based on quantitative assessments of maintenance impact on production and its cost improve maintenance status and convert its rule from a cost to a profit-centre. In producing companies, it is vital to consider both economic and technical impact of maintenance to provide better chances for improving company profit margin. In this study, we propose a model, eMaintenance Decision Support System (eMDSS), for assisting companies to achieve these results followed by substantial results from a case study. The model application can be briefed in improvement of decision-making processes from technical and economic perspectives to direct them into the company profitability aligned with the company goals. Further, it proposes technical and economic indicators and improves utilization of maintenance resources including personnel skills and experience to enhance maintenance performance and develop cost-effective scenarios. eMDSS provides an intelligent facilitator which improves accurate decision-making and identifying and prioritizing maintenance problems, investments and follow up them. eMDSS is applied on a real case. Reliability of the achieved results are tested and approved in detail. It is used successful in evaluating previous technical and economic decisions and selecting the most cost-effective scenario with a saving exceeding 133K€ and profit of 114K€ for the case equipment