Abstract
This paper develops an integrated Operations Research framework to support supply chain strategies for the sustainable and resilient deployment and lifecycle management of smart lighting systems. The framework combines mixedinteger linear programming, stochastic programming, and reverse logistics optimization, evaluated through discrete-event simulation using synthetic data. Simulation results demonstrate significant gains in cost reduction, resilience enhancement, and lifecycle sustainability. Key findings include optimized phased delivery strategies, resilience-oriented inventory policies, and circularity-driven reverse logistics designs. The study offers practical insights for municipalities, lighting system integrators, and supply chain professionals engaged in smart lighting and smart city infrastructure projects.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE Sustainable Smart Lighting World Conference & Expo (LS25) |
| Publisher | IEEE |
| Number of pages | 5 |
| ISBN (Electronic) | 979-8-3315-5835-2 |
| ISBN (Print) | 979-8-3315-5836-9 |
| DOIs | |
| Publication status | Published - 2025 |
| MoE publication type | A4 Conference publication |
| Event | IEEE Sustainable Smart Lighting World Conference & Expo - Monastir, Tunisia Duration: 8 Dec 2025 → 10 Dec 2025 |
Conference
| Conference | IEEE Sustainable Smart Lighting World Conference & Expo |
|---|---|
| Country/Territory | Tunisia |
| City | Monastir |
| Period | 08/12/2025 → 10/12/2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
Fingerprint
Dive into the research topics of 'Supply Chain Strategies for Sustainable and Resilient Deployment and Lifecycle Management of Smart Lighting Systems'. Together they form a unique fingerprint.Projects
- 1 Active
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MELINA (Erasmus+)
Bhusal, P. (Principal investigator) & Ingi, D. (Project Member)
01/01/2025 → 31/12/2027
Project: EU: Other research funding
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