An Integrated Symbiotic Production System Design of Agro-Based Industries with Profit and Environmental Objectives
Sustainability (Switzerland), cilt.17, sa.14, 2025 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 17 Sayı: 14
- Basım Tarihi: 2025
- Doi Numarası: 10.3390/su17146396
- Dergi Adı: Sustainability (Switzerland)
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Aerospace Database, Agricultural & Environmental Science Database, CAB Abstracts, Communication Abstracts, Food Science & Technology Abstracts, Geobase, INSPEC, Metadex, Veterinary Science Database, Directory of Open Access Journals, Civil Engineering Abstracts
- Anahtar Kelimeler: agro-based industries, cleaner production, industrial symbiosis, industrial systems, multi-objective optimization, sustainability
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet
Özet
Establishing a sustainable production system requires a more efficient utilization of resources and the adoption of cleaner production methodologies. Specifically, industrial symbiosis promotes collaboration among interconnected industries by exchanging waste, byproducts, and utilities, thereby providing innovative ways to enhance the efficiency of production processes. However, the sustainability of agricultural products and agro-based industries is essential for human survival. This study proposed an integrated symbiotic production system that targets agro-based industries. The system includes seven plants: a sugar production plant, a corn-integrated industrial plant, an alcohol production plant, a feed production plant, a fertilizer plant, a bioethanol production plant, and a wastewater treatment plant. The study aimed to design a sustainable industrial system that shares byproducts, waste, and water reuse. Symbiotic relations between production plants are designed in a provided multi-objective optimization model that considers both the mitigation of CO2 emissions and the maximization of system profit. The multi-objective model with the epsilon-constraint method results in Pareto-efficient solutions that address the tradeoff between the objectives. This allows decision makers to select a suitable one among the solution set that prioritizes conflicting objectives. We developed ten scenarios to assess costs, revenue, profit, and CO2 emissions, offering significant insights into how model parameters affect managerial knowledge. This study also addresses environmental and economic concerns, thereby making the development of agro-based industries more sustainable.