<p>Construction companies encounter major difficulties in managing multi-project supply chains, resulting in cost over-runs and high levels of waste. Although resource, information, and monetary flows are crucial in these systems, there are only few integrated models that maximize them subject to environmental restrictions. This iterative process has led to the development of LeanVironment, a new unifying concept that blends lean principles (rooted in waste removal to enhance efficiency) with green strategies (aiming to reduce the effect on the environment through sustainable material procurement and waste minimization). Exploiting this, in this paper the GreenPulse Framework uses a fuzzy logic based mixed integer linear programming (MILP) model for the optimization of multi-project construction supply chains (MPCSCs) by considering uncertainties in cost, time and environmental impact. The model serves to minimize total costs and waste, as well as to improve sustainability. Results indicate significant cost and material waste savings, in support of sustainable construction techniques. Taking lean and green integration into account, the present study fills a certain research gap with a scalable reference tool for both academia and industry to enhance efficiency and environmental performance at complex construction sites.</p>

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LeanVironment meets Greenpulse: optimizing sustainable multi-project construction supply chains

  • Simin Dargahi Darabad,
  • Seyed Farid Ghannadpour,
  • Siamak Noori,
  • Morteza Bagherpour

摘要

Construction companies encounter major difficulties in managing multi-project supply chains, resulting in cost over-runs and high levels of waste. Although resource, information, and monetary flows are crucial in these systems, there are only few integrated models that maximize them subject to environmental restrictions. This iterative process has led to the development of LeanVironment, a new unifying concept that blends lean principles (rooted in waste removal to enhance efficiency) with green strategies (aiming to reduce the effect on the environment through sustainable material procurement and waste minimization). Exploiting this, in this paper the GreenPulse Framework uses a fuzzy logic based mixed integer linear programming (MILP) model for the optimization of multi-project construction supply chains (MPCSCs) by considering uncertainties in cost, time and environmental impact. The model serves to minimize total costs and waste, as well as to improve sustainability. Results indicate significant cost and material waste savings, in support of sustainable construction techniques. Taking lean and green integration into account, the present study fills a certain research gap with a scalable reference tool for both academia and industry to enhance efficiency and environmental performance at complex construction sites.