Abstract
The current practice in the logistics industry is to calculate the carbon footprint of transportation activities based on the distance covered, using long-term fuel consumption averages per kilometer. However, fuel consumption may actually vary over time, because of differences in road characteristics, traffic situations, driving behavior, etc. Therefore, distance-based emission calculations are not accurate. Our approach is fuel-based and it calculates transport greenhouse gas emissions by obtaining the actual fuel consumption during trips via board computers installed in vehicles. Thus, we propose an architecture for a fuel-based Logistics Carbon Management System (LCMS) that monitors and collects real-time data about the fuel consumption during trips, and, consequently, calculates detailed and accurate carbon footprints of transportation services. Furthermore, this system is integrated with the logistics service provider’s business processes and with typical software applications (e.g., Transport Management Systems and Board Computers). We validate and implement the proposed architecture by means of a prototype.
Similar content being viewed by others
Notes
This study contains numerous acronyms. To improve the readability of the manuscript we have included in Appendix B a table of all the acronyms for quick reference.
Cape Groep is a software company active in the logistics sector that participated in this research.
In the remainder of this section the words written in italics designate relationships between architecture elements from Figure 3.
General Packet Radio Service (GPRS).
Universal Mobile Telecommunications System (UMTS) is a third generation mobile cellular system for networks based on the GSM standard.
Unified Modeling Language (UML), www.uml.org.
Business Process Modeling Notation (BPMN), www.bpmn.org.
XML Schema Definition (XSD), http://www.w3.org/XML/Schema.html.
References
Ageron, B., Gunasekaran, A., Spalanzani, A. (2011). Sustainable supply management: an empirical study. International Journal of Production Economics. doi:10.1016/j.ijpe.2011.04.007, Available online 19 April 2011, In Press, Corrected Proof.
Bass, L., Clements, P., & Kazman, R. (2003). Software architecture in practice (2nd ed.). Reading: Addison-Wesley.
Boer, L., Brouwer, F., & Essen, H. v. (2008). STREAM Studie naar TRansport Emissies van Alle Modaliteiten. Delft: CE.
Boulter, P., & McCrae, I. (2007). ARTEMIS: Assessment and reliability of transport emission models and inventory systems: final report. Wokingham: TRL report.
BSI. (2008). PAS 2050:2008 Specification for the assessment of the life cycle greenhouse gas emissions of goods and services. London: Bristish Standards Institute.
CapGemini (2007). Transportation report 2007, retrieved January 18, 2011, from:http://www.capgemini.com/insights-and-resources/by-publication/transportation-report-2007/.
Chapman, L. (2007). Transport and climate change: a review. Journal of Transport Geography, 15, 354–367.
Chen, A. J., Boudreau, M., & Watson, R. T. (2008). Information systems and ecological sustainability. Journal of Systems and Information Technology, Sustainability and Information Systems, 10(3), 186–201.
Chen, A. J., Watson, R. T., Boudreau, M.-C., Karahanna, E. (2009). Organizational adoption of Green IS & IT: An institutional perspective. ICIS 2009 Proceedings (p. Paper 142).
EEA. (2009). EMEP/EEA air pollutant emission inventory guidebook 2009. Copenhagen: European Environment Agency.
European Commission (2008). Climate change: Commission welcomes final adoption of Europe’s climate and energy package. Retrieved May 3, 2010, from Europa Press Releases RAPID: http://europa.eu/rapid/pressReleasesAction.do?reference=IP/08/1998.
Finkbeiner, M. (2009). Carbon footprinting—opportunities and threats. The International Journal of Life Cycle Assessment, 14(2), 91–94.
Greefhorst, D., Grefen, P., Saamen, E., Bergman, P., Van Beek, W. (2009). Herbruikbare architectuur - een definitie van referentie-architectuur. Informatie, September 2009, 8–14 (in Dutch).
Gregor, S., & Jones, D. (2007). Anatomy of a design theory. JAIS, 8(5), 312–335.
Groom Energy Solutions (2010). Enterprise carbon accounting. Retrieved from http://www.groomenergy.com/eca_report_summary.html.
Hevner, A. R., March, S. T., & Park, J. (2004). Design research in information systems research. MIS Quarterly, 28(1), 75–105.
Holtkamp, B., Steinbuss, S., Gsell, H., Loeffeler, T., Springer, U. (2010). Towards a logistics cloud. In Proceedings of 2010 Sixth International Conference on Semantics, Knowledge and Grids, 1–3 Nov. (pp. 306–308).
Iacob, M. E., Jonkers, H., Lankhorst, M., & Proper, H. (2011). ArchiMate 2.0 specification. Zaltbommel: Van Haren Publishing.
IEA. (2009). CO2 emissions from fuel combustion—2009 edition—highlights. Paris: International Energy Agency.
IPCC. (2007). In Core Writing Team, R. K. Pachauri, & A. Reisinger (Eds.), Climate change 2007: Synthesis report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva: IPCC.
Kuo, B. N., & Dick, G. N. (2010). Organizational Green IT: It seems the bottom line rules. AMCIS 2010 Proceedings (p. Paper 99).
Mann, H., Grant, G., Singh Mann, I. J. (2009). Green IT: An implementation framework. AMCIS 2009 Proceedings, Paper 121.
Matthews, H. H. (2008). The importance of carbon footprint estimation boundaries. Environmental Science and Technology, 16(42), 5839–5842.
McKinnon, A. (2010). Product-level carbon auditing of supply chains: environmental imperative or wasteful distraction? International Journal of Physical Distribution and Logistics Management, 40(1–2), 42–60.
Mendix (2011). Mendix reference guide 2.5. Retrieved from: https://world.mendix.com/display/NRG.
Molla, A. (2008). GITAM: A model for the adoption of Green IT. ACIS 2008 Proceedings (p. 64).
Naumann, S., Dick, M., Kern, E., & Johann, T. (2011). The GREENSOFT Model: a reference model for green and sustainable software and its engineering. Sustainable Computing: Inforatics and Systems, 1(4), 294–304.
Ntziachristos, L. G. (2009). COPERT: A European Road Transport Emission Inventory Model. In I. M. Athanasiadis (Ed.), Information technologies in environmental engineering (pp. 491–504). Springer.
Peffers, K., Tuunanen, T., Rothenberger, M., & Chatterjee, S. (2008). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45–77.
Rich, D. (2008). New Greenhouse gas protocol standards. Retrieved May 31, 2010, from International SmartWay Transportation Summit: http://epa.gov/smartway/transport/documents/international/david-rich-world-resourcces-institute.pdf.
TLN (2008). TLN Infoblad nummer 143. Resultaten TLN Automatiseringsenquête 2008. Transport en Logistiek Nederland (in Dutch).
TOGAF (2009). The open group architecture framework, version 9, enterprise edition. Document number: G091. Retrieved November 29, 2010, from The Open Group: http://www.opengroup.org/architecture/togaf9-doc/arch/.
Verdantix (2009). Green quadrant: Carbon management software (Global). Retrieved from http://www.verdantix.com/index.cfm/papers/Products.Details/product_id/51/green-quadrant-carbon-management-software-global-/-.
W3C (2004). Web services glossary. Retrieved June 22, 2010, from http://www.w3.org/TR/ws-gloss/.
Wackernagel, M., & Rees, W. (1996). Our ecological footprint—reducing human impact on the earth. Gabriola Island: New Society Publishers.
Walls, J., Widmeyer, G., & El Sawy, O. (1992). Building an information system design theory for vigilant EIS. Information Systems Research, 3(1), 36–59.
Watson, R. T., Boudreau, M.-C., Chen, A., & Huber, M. H. (2008). Green IS: Building sustainable business practices. In R. T. Watson (Ed.), Information systems. Athens: Global Text Project.
Webb, M. (2008). Smart 2020: Enabling the low carbon economy in the information age. http://www.theclimategroup.org.
Weidema, B. T. (2008). Carbon footprint—a catalyst for life cycle assessment? Journal of Industrial Ecology, 12(1), 3–6.
Wiedmann, T. (2009). Carbon footprint and input–output analysis—an introduction. Economic Systems Research, 21(3), 175–186.
Wiedmann, T., & Minx, J. (2008). A definition of ‘Carbon Footprint’. In C. C. Pertsova (Ed.), Ecological economics research trends (pp. 1–11). Hauppauge: Nova.
Zadek, H., & Schulz, R. (2010). Methods for the calculation of CO2 emissions in logistics activities. Advanced manufacturing and sustainable logistics. Lecture notes in business information processing, 2010, volume 46, part 3 (pp. 263–268). Springer.
Author information
Authors and Affiliations
Corresponding author
Appendices
Appendix A
The CMS packages have been compared on several criteria that include all carbon footprint aspects discussed in this study and other offered functionality and technological aspects of the solutions. Concerning the functionality the comparison criteria are:
-
Approach: does the vendor calculate footprints according to a certain protocol and emission factors, or are various ones supported? Is the IS restricted to GHG emissions, or can it also manage other polluting emissions? Does the package only provide functionality on GHG topics, or are other environmental management functions included, or at least available in external modules?
-
Footprint calculation: can the CMS calculate both CCFs and PCFs, and are more specified footprints available?
-
Monitoring: how are the footprints calculated and presented real-time?
-
Reporting: what kind of reports can be produced? Does the CMS allow for auditing of the process?
-
Acting: besides monitoring and reporting, it is valuable to act upon the footprint data. How is the data being analysed and what tools are available to the user to support reduction initiatives. How thoroughly are these actions planned and does the CMS keep track of the progress?
-
Accounting: does the CMS offer functionality for accounting of energy and carbon offsets, and allowances trading?
Concerning the implementation, the CMS packages have been compared on:
-
User management: can user roles or workflows be specified?
-
Data entry: how can emission data be collected and entered into the IS?
-
Integration: is the CMS able to communicate with other ISs and is integration with supply chain partners possible?
-
Deployment: is the IS deployed locally, web-based or provided as a SaaS solution?
The table below shows an overview of the functionality and implementations characteristics of all surveyed packages (Table 2).
Appendix B
Acronym | Complete name |
ABC | Activity Based Costing |
AIS | Accounting Information System |
APS | Advanced Planning System |
BC | Board Computers |
BPMN | Business Process Modeling Notation (www.bpmn.org) |
CANbus | Controlled Area Network bus |
CCF | Corporate Carbon footprint |
CMS | Carbon Management Systems |
DBMS | Data Base Management System |
FMS | Fleet Management System |
GHG | Greenhouse Gases |
GPRS | General packet radio service (http://en.wikipedia.org/wiki/General_Packet_Radio_Service) |
GPS | Global Positioning System |
GSM | Global System for Mobile Communications (http://en.wikipedia.org/wiki/GSM) |
IS | Information systems |
LCMS | Logistics Carbon Management System |
LSP | Logistic Service Providers |
OES | Order Entry System |
PCF | Product Carbon Footprint |
SMS | Short Message Service (http://en.wikipedia.org/wiki/Short_Message_Service Message Service) |
TMS | Transport Management Systems |
TOGAF | The Open Group Architecture Framework (TOGAF 2009) |
UML | Unified Modeling Language (www.uml.org) |
UMTS | Universal Mobile Telecommunications System (http://en.wikipedia.org/wiki/Universal_mobile_telecommunications_system) |
WMS | Warehouse Management System |
XML | Extensible Markup Language (http://www.w3.org/XML/) |
XSD | XML Schema Definition (http://www.w3.org/XML/Schema.html) |
Rights and permissions
About this article
Cite this article
Iacob, M.E., van Sinderen, M.J., Steenwijk, M. et al. Towards a reference architecture for fuel-based carbon management systems in the logistics industry. Inf Syst Front 15, 725–745 (2013). https://doi.org/10.1007/s10796-013-9416-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10796-013-9416-y