This software model offers a systematic analytical approach to resolve decision problems related to technology selection and facility location. It employs various techniques such as principal component analysis (PCA), multi-objective decision-making (MODM), mixed-integer linear programming (MILP), and geospatial information to model two key aspects: optimal biomass conversion pathway synthesis and optimal supply chain synthesis. Moreover, the model effectively assesses both the economic and environmental factors concurrently, eliminating any subjective biases that may arise during the decision-making process. Instead, it synthesizes optimal solutions by leveraging the inherent information present in the data. This approach offers valuable benchmarks and valuable insights into the potential advantages of the suggested solutions, encompassing financial gains as well as sustainability objectives. To illustrate its efficacy, a compelling case study from Malaysia is incorporated, showcasing the model's ability to identify the most advantageous technology pathways and supply chains design. Ultimately, this software model serves as a preliminary stage design, offering guidance to policymakers, investors, and researchers in their pursuit of achieving circular economy (CE) goals. By facilitating decision-making processes and considering economic and environmental aspects, the model can contribute to the development of sustainable and efficient technology solutions and supply chains in various industries.

The authors would like to acknowledge the financial support from the Ministry of Higher Education (MOHE), Malaysia, via FRGS Grant (FRGS/1/2020/TK0/SWIN/03/3)