This article aims to develop a method for prioritizing indoor environmental quality parameters in the workplace (i.e., temperature, lighting, acoustics, air quality, layout, furnishing, cleanliness and maintenance) to enhance occupants’ workspace satisfaction. Data were collected using a web-based survey of 12 Iranian control centre buildings (CCBs) of combined cycle power plants. The results showed that fewer than half of occupants are satisfied with their workplace. Corrective measures would cost the owners an exorbitant amount of money if they were to try to address all of the parameters. Therefore, a statistical analysis framework was applied to determine each parameter’s importance in relation to overall workspace satisfaction. Based on detailed analysis, two levels of importance have been defined for ergonomic modification of each CCB. The statistical approach developed in this study can be applied to all kinds of buildings to determine where ergonomic modification is most likely to produce higher workspace satisfaction.

本文旨在开发一种优先考虑工作场所室内环境质量参数（即温度、照明、声学、空气质量、布局、家具、清洁和维护）的方法，以提高居住者的工作场所满意度。数据是通过对联合循环发电厂的 12 座伊朗控制中心大楼 (CCB) 进行的基于网络的调查收集的。结果显示，只有不到一半的居住者对他们的工作场所感到满意。如果业主要尝试解决所有参数，纠正措施将花费高昂的资金。因此，应用统计分析框架来确定每个参数相对于整体工作空间满意度的重要性。根据详细分析，每个 CCB 的人体工程学修改定义了两个重要性级别。