Synergizing Sustainability: Integrated Demand-Supply Strategies for Resilient Retail, Transport, and Logistics Systems: JEL Classification: L91; Q56; R41; O33; M11

Simon Suwanzy Dzreke; Semefa Elikplim Dzreke

doi:10.37899/mjdm.v3i1.302

Authors

Simon Suwanzy Dzreke Federal Aviation Administration, Career and Leadership Division, AHR, Washington, DC, USA
Semefa Elikplim Dzreke Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.37899/mjdm.v3i1.302

Keywords:

Artificial Intelligence Logistics, Circular Supply Chains, Climate Risk Mitigation, Demand–Supply Integration, Logistics Resilience, Sustainable Transportation

Abstract

Global supply chains confront existential threats from climate volatility manifest in port-crippling storms and agricultural collapse and chronic disruptions spanning pandemics to geopolitical fragmentation, exposing the fragility of efficiency-optimized models. This research pioneers integrated computational frameworks that transcend disciplinary silos to synchronize environmental sustainability with operational resilience across retail, transport, and logistics ecosystems. Multi-method analysis combining Life Cycle Assessment, Agent-Based Modelling, and policy scenario testing demonstrates that harmonized demand-supply coordination consistently outperforms isolated interventions. Synchronized demand shaping (AI-facilitated circular consumption) and regionalized supply redesign (micro-factories) reduce end-to-end emissions by 30–40%, while dynamic AI routing cuts logistics costs by 22% during severe disruptions. Integrating policy instruments like harmonized carbon accounting amplifies stakeholder ROI by 2.8× versus fragmented approaches. The framework empowers industry and policymakers to co-optimize decarbonization and disruption preparedness, transforming brittle networks into adaptive, low-carbon value chains resilient to systemic shocks a strategic imperative beyond incremental adjustment.

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