EconPapers    
Economics at your fingertips  
 

Low carbon supply chain configuration for a new product – a goal programming approach

Marcus Brandenburg

International Journal of Production Research, 2015, vol. 53, issue 21, 6588-6610

Abstract: Green supply chain management and product innovation both have become sources of competitive advantage for companies from different industries. However, research on the configuration of green supply chains for new products represents a comparably new trend. In this paper, a goal programming approach is suggested to optimise the supply chain (SC) configuration for a new consumer product under consideration of economic and environmental criteria. The approach is illustrated by the case example of a fast moving consumer goods manufacturer. In this context, trade-offs between the ecologic factor of carbon emission, on the one hand, and financial value creation and customer service level on the other hand, are assessed in the deterministic analyses. The influence of long-term demand uncertainties is modelled in a scenario approach. It is observed that decentralised SC configurations enable carbon emission reduction without deteriorating the economic SC performance. Furthermore, it is detected that a focused economic optimisation strongly amplifies negative environmental impacts of demand uncertainties.

Date: 2015
References: Add references at CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2015.1005761 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:53:y:2015:i:21:p:6588-6610

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2018-12-01
Handle: RePEc:taf:tprsxx:v:53:y:2015:i:21:p:6588-6610