Impotent planning system in house providing process is the result of inadequate housing management system in theoretical, empirical, and operational fields. In addition, Mass Construction industry in Iran confronts with other problems such as instability in raw material prices, unsteadiness in production and investment laws and regulations, frailty of transportation infrastructure, international sanctions and etc. Furthermore, customers’ needs, lower costs, and greater customizations lead mass producing to search for new solutions and novel producing system. Agility is offered as a strategy to enable Mass Construction associations to be maintained in the competition of constantly changing market in Iran. In such a market, previous approaches lose their capabilities in supply chain. Thus to achieve agility by Mass Construction association is the chief aim of this study. This study is descriptive-analytic and can be identified as developmental –functional considering its target. After surveying previous research literature and using experts’ opinions, we investigated final agile sub criteria of supply chain and then we used interpretive- structural modeling approach to determine the relation among sub criteria and to offer an agile supply chain model. Surveying research literature and experts’ opinions lead us to identify 8 criteria (society, government, financial, information technology, market, partnership, quality and technology) and also 22 sub criteria for supply chain’s agility. Then the results were analyzed through interpretive-structural approach and relation of criteria and sub criteria and their consequence were achieved. These relations showed that government and infrastructure investment, culture, regulations and responses to social and environmental issues are the basis of agility in mass housing productions’ supply chain. This model helps supply chain managers to have strategic planning to enhance agility in supply chain and find effective sub criteria and criteria to invest on.

The balanced scorecard (BSC) approach is an effective technique for performance evaluation. BSC can better reflect the dependence and feedback problems of each factor in real world situations. This study aims at developing a set of appropriate key performance indicators according to (BSC) approach for SAPCO using multiple criteria decision making(MCDM) method. We provide key performance indicators through literature reviews and experts & apos; idea in SAPCO, which is one of the biggest vehicle spare suppliers in Iran. The proposed study uses decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP), respectively to measure the casual relationship between the perspectives as well as the relative weights. The results based on ANP method shows that ‘‘Customer’’ is the most influential factor. In addition, internal process, financial and learning and growth are in two to four positions. Three important key performance indicators are as bellow: Total price of parts, Customer satisfaction and Lack of parts in production.