A framework for measuring the supply chain's agility of mass construction industry in Iran

Abstract

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.