Abstract
The ability to predict the supply and demand of country to global energy, water and resources is a challenge. Specific resource models have been researched for individual resource logistics but with limitations on interdependencies, country and global infrastructure, supply and demand models and other constraints. This research focuses on the application of systems engineering together with agent based models, developing country specific supply and demand networks, extending into a potential global model. These networks are adopted as a multi-variable conduit with the ability to predict demand of various resources. The country specific network is classified so as to deliver logistics based on demand. Various scenarios together with optimization propositions are developed. A country specific, forward prediction model is delivered based on growth rates and country specific future change. Key considerations include the ability to link supply, demand and country specific networks. The network classifications together with input and output models are crucial to resolution of the challenge.
| Original language | English |
|---|---|
| Title of host publication | 26th International Association for Management of Technology Conference, IAMOT 2017 |
| Publisher | International Association for Management of Technology Conference (IAMOT) and the Graduate School of Technology Management, University of Pretoria |
| Pages | 260-276 |
| Number of pages | 17 |
| ISBN (Electronic) | 9783200049864 |
| Publication status | Published - 2020 |
| Event | 26th International Association for Management of Technology Conference, IAMOT 2017 - Vienna, Austria Duration: 14 May 2017 → 18 May 2017 |
Publication series
| Name | 26th International Association for Management of Technology Conference, IAMOT 2017 |
|---|
Conference
| Conference | 26th International Association for Management of Technology Conference, IAMOT 2017 |
|---|---|
| Country/Territory | Austria |
| City | Vienna |
| Period | 14/05/17 → 18/05/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
-
SDG 11 Sustainable Cities and Communities
Keywords
- City logistics
- Demand
- Inputs
- Logistics
- Modelling
- Multi-agents
- Outputs
- Supply
- Systems engineering
ASJC Scopus subject areas
- Management of Technology and Innovation
Fingerprint
Dive into the research topics of 'Generic logistics modeling with systems engineering'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver