A5013844043- Sustainable Supply Chain Management
- Vehicle Routing Optimization Methods
- Quality and Supply Management
- Supply Chain Resilience and Risk Management
- Urban and Freight Transport Logistics
- Transport and Economic Policies
- Organizational and Employee Performance
- Food Waste Reduction and Sustainability
- Process Optimization and Integration
- Risk and Safety Analysis
- Maritime Ports and Logistics
- Supply Chain and Inventory Management
- Advanced Multi-Objective Optimization Algorithms
- Facility Location and Emergency Management
University of Huddersfield
2018-2020
Dublin City University
2013-2014
Supply chain risk management (SCRM) encompasses a wide variety of strategies aiming to identify, assess, mitigate and monitor unexpected events or conditions which might have an impact, mostly adverse, on any part supply chain. SCRM often depend rapid adaptive decision-making based potentially large, multidimensional data sources. These characteristics make suitable application area for artificial intelligence (AI) techniques. The aim this paper is provide comprehensive review literature...
AbstractThis article contributes to distribution system literature on three inter-linked aspects viz. formulation of a novel integrated low-carbon/green for the demand side Supply Chain (SC) with single product and multiple consumers, i.e. drop-off points, robust solution approach through Design Experiment (DoE)-guided Multiple-Objective Particle Swarm Optimisation (MOPSO) optimiser exhaustive analysis solutions (i.e. prioritisation, ranking scenario analysis). The total costs, CO2 emission...
This article introduces a sustainable integrated bi-objective location-routing model, its two-phase solution approach and an analysis procedure for the distribution side of three-echelon logistics networks. The mixed-integer programming model captures several real-world factors by introducing additional objective function set new constraints in that outbound channels find difficult to reconcile. minimises CO2 emissions from transportation total costs incurred facilities channels. Design...
Abstract This article evaluates the efficiency of three meta-heuristic optimiser (viz. MOGA-II, MOPSO and NSGA-II)-based solution methods for designing a sustainable three-echelon distribution network. The network employs bi-objective location-routing model. Due to mathematically NP-hard nature model multi-disciplinary optimisation commercial platform, modeFRONTIER ® , is adopted utilise methods. proposed Design Experiment (DoE)-guided are two phased that solve attain minimal total costs CO...