A dynamic goal programming approach for sustainable product design: Balancing multi-dimensional sustainability objectives under uncertainty
Journal of Cleaner Production, cilt.575, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 575
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.jclepro.2026.149215
- Dergi Adı: Journal of Cleaner Production
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Chimica, Compendex, INSPEC, Public Affairs Index, Academic Search Ultimate (EBSCO), Business Source Ultimate (EBSCO), Engineering Source (EBSCO)
- Anahtar Kelimeler: Circular economy, Dynamic goal programming, Multi-objective optimization, Sustainability index, Sustainable product design
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
This study develops a Dynamic Goal Programming (DGP) model for sustainable new product design that simultaneously optimizes economic, environmental, social, and material sustainability goals under real-world operational constraints. The model employs a rolling-horizon approach to handle stochastic demand and to dynamically recalibrate goal targets and objective weights across planning periods. A comprehensive Sustainability Index (SI) integrates weighted criteria including renewable energy use, hazardous material reduction, greenhouse gas emissions, customer satisfaction, and design usability. The specific contributions of this work are: (1) integration of material sustainability as a fourth optimization objective via hazardous material coefficients (hj), a dimension absent from all prior SNPD-GP studies documented in the literature; (2) a rolling-horizon DGP formulation in which goal targets, bound values, and objective weights are recalibrated at each planning period in response to updated demand and stock data; (3) direct embedding of the SI into the optimization objective rather than post-hoc evaluation, enabling sustainability metrics to govern production and material selection decisions in real time; and (4) a quantified Pareto frontier (α ∈ [0.1, 1.0]) enabling transparent managerial navigation of sustainability–profitability trade-offs, validated in the furniture manufacturing sector using 44 months of real production data. The results demonstrate that the model maintains strict economic viability (positive profit in all ten periods) while providing decision-makers with a controllable trade-off mechanism between aggregate SI (0.535 at α = 0.1 to 0.443 at α = 1.0) and total profit (42,165 TRY to 163,156 TRY on average).