Abstract. Di erent categories of Iranian handmade carpet are produced each year. Due to resource limitation, it is so important for managers to allocate more resources to the most e cient categories. Therefore, the main purpose of this illustration is to consider most e cient types of carpet in production and sales stages. To do so, di erent categories of Iranian handmade carpet are considered as DMUs. This study utilizes network DEA for constructing a model to analyze total and partial e ciencies of Iranian Handmade Carpet Company (IHCC), simultaneously. IHCC consists of three main departments that are working jointly to maximize productivity of the rm; therefore, the case of IHCC is a multi-stage system with shared intermediate variables, extra inputs to the second stage, and undesired outputs. The novelty of this paper is the methodology used for calculating the e ciency, which is based on multi-objective programming. Results of experimental data of IHCC are summarized in order to prepare some brilliant management strategies based on partial and total e ciency scores of di erent carpet categories. Because of the lack of familiar researches in the area of carpet industry e ciency measurement, this research will provide valuable information for decision makers.