Published July 7, 2023 | Version 1.0
Software Open

Sequential optimization model to empower circular synergy between biomass and petroleum industries

Authors/Creators

  • 1. Research Centre for Sustainable Technologies, Faculty of Engineering, Computing and Science, Swinburne University of Technology, Jalan Simpang Tiga, 93350, Kuching, Sarawak, Malaysia
  • 2. Radboud University, Institute for Molecules and Materials, P.O. Box 9010, 6500 GL, Nijmegen, the Netherlands

Contributors

  • 1. Research Centre for Sustainable Technologies, Faculty of Engineering, Computing and Science, Swinburne University of Technology, Jalan Simpang Tiga, 93350, Kuching, Sarawak, Malaysia
  • 2. Radboud University, Institute for Molecules and Materials, P.O. Box 9010, 6500 GL, Nijmegen, the Netherlands
  • 3. Department of Chemical and Environmental Engineering, University of Nottingham Malaysia Campus, Jalan Broga, 43500, Semenyih, Selangor, Malaysia
  • 4. Department of Mechanical Engineering and Product Design Engineering, Swinburne University of Technology, John Street, 3122, Hawthorn, Victoria, Australia

Description

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.

Notes

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)

Files

Compiled Model_Final.zip

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