Assessing the impact of cost optimization based on infrastructure modelling on CO2 emissions

By Irina Harris, Mohamed M. Naim, A. Palmer, Andrew T. Potter, C. Mumford. 2011

188 citations recorded by the source corpus.

Subfields: Building and Construction, Strategy and Management, Transportation

View Paper: https://www.semanticscholar.org/paper/77aa005654550ebf6c7b8ce4225a2e01737d354f

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In Building and Construction

In Strategy and Management

Citations in the corpus

Operations Research for green logistics - An overview of aspects, issues, contributions and challenges (2011, background): “Harris et al. (2011) consider both logistics costs and CO2 emissions in supply chain optimization.”
Quantitative models for sustainable supply chain management: Developments and directions (2014, background): “Metrics are needed to incorporate specific fuel consumption figures for transportation (Harris et al., 2011) or to consider transportation modes or demand uncertainties (Wang et al.”
Decision theory in sustainable supply chain management: a literature review (2014, background): “Carbon dioxide is one such factor, not least, as it is a measure of pollution under increasing regulatory scrutiny (Chaabane et al., 2011; Choi, 2013; Harris et al., 2011; Jaegler and Burlat, 2012).”
Opportunities and challenges in sustainable supply chain: An operations research perspective (2017, methodology): “All operational decision papers have applied optimization models, which in some cases are combined with simulation (Harris et al., 2011; Liotta et al., 2016), data analysis (Sabio et al.”
Modelling food logistics networks with emission considerations: The case of an international beef supply chain (2014, methodology): “This approach has been also used by Harris et al. (2011), who integrated the approach into a simulation model without considering perishability and return hauls (see Table 1).”
Carbon footprint and responsiveness trade-offs in supply chain network design (2015, methodology): “Harris et al. (2011) use a simulation model to analyse, in a specific case study from the automotive industry, the relationship between total logistics costs of the network and carbon emissions coming from transportation and depots.”