Multi-objective optimization of process design using process-based sustainable impact analysis

Process design in material supply systems requires careful analysis from the process manager in order to optimize important variables, such as the number of assembly areas and their locations. Decisions on these critical variables can have significant impacts on multiple objectives, including minimizing project cost and adverse environmental impacts. The objective of this paper is to present the development of a robust methodology to optimize process design in logistics of material supply systems. This methodology incorporates (1) cost and environmental impact assessment models that utilize processbased assessment (Activity-Based Costing and Process-Based Life-Cycle Analysis); and (2) a multiobjective optimization model that utilizes Non-Dominated Sorting Genetic Algorithms II (NSGA2). The presented models in this paper focuses on optimizing decisions related to the process design of prefabricated rebar supply systems for construction projects with space constraints. The developed models are capable of minimizing (1) the logistics costs; and (2) the associated environmental impacts. The paper also presents a case study in order to illustrate the use of the model and its unique capabilities in optimizing material supply systems.