INTERNACIONALNI UNIVERZITET TRAVNIK U TRAVNIKU
SAOBRAĆAJNI FAKULTET TRAVNIK U TRAVNIKU
EKOLOŠKI FAKULTET TRAVNIK U TRAVNIKU
FAKULTET INFORMACIONIH TEHNOLOGIJA TRAVNIK U TRAVNIKU
FAKULTET POLITEHNIČKIH NAUKA TRAVNIK U TRAVNIKU
u saradnji sa
FAKULTETA ZA LOGISTIKO UNIVERZA V MARIBORU, SLOVENIJA
organizuju
33. MEĐUNARODNU KONFERENCIJU
"IZAZOVI NOVIH TEHNOLOGIJA U FUNKCIJI MOBILNOSTI I ODRŽIVOG RAZVOJA"
15. - 16. maj 2026. godine
Internacionalni univerzitet Travniku Travniku , Travnik , Bosnia and Herzegovina
In the pursuit of sustainable industrial transformation, additive manufacturing has emerged as more than a technological revolution—it represents a new philosophy of production. This paper explores how 3D and 4D printing technologies can serve as key enablers of waste reduction and resource optimization across diverse sectors. By shifting from traditional subtractive methods to digitally controlled additive processes, 3D printing minimizes material loss and energy use through precision, customization, and local production. Going a step further, 4D printing introduces smart, stimuli-responsive materials capable of self-adaptation and regeneration, creating systems that not only reduce waste but actively extend product lifecycles. Through an interdisciplinary lens, the study examines material innovation, eco-design principles, and the integration of artificial intelligence and digital twins for real-time optimization of manufacturing processes. The findings highlight the transformative potential of additive and time-evolving manufacturing in supporting circular economy objectives, Industry 5.0 paradigms, and the broader goals of the European Green Deal. Ultimately, the paper argues that the convergence of digital intelligence and material adaptability offers a tangible pathway toward regenerative, zero-waste production ecosystems. Its originality lies in bridging technological foresight with applied sustainability practice, offering actionable insights for industries and policymakers seeking to redesign value chains through intelligent, resourcepositive manufacturing.
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