Optimization and sustainable development

Leo Liberti ()

Computational Management Science, 2015, vol. 12, issue 3, 395 pages

Abstract: In this opinion paper, I argue that “optimization and sustainable development” indicates a set of specific engineering techniques rather than a unified discipline stemming from a unique scientific principle. On the other hand, I also propose a mathematical principle underlying at least some of the concepts defining sustainability when optimizing a supply chain. The principle is based on the fact that since demand constraints are usually expressed as inequalities, those which are not active at the optimal solution imply the existence of some wasted activity, which may lead to an unsustainable solution. I propose using flow-type equation constraints instead, which help detect unsustainability through infeasibility. Copyright Springer-Verlag Berlin Heidelberg 2015

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10287-014-0219-5 (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:spr:comgts:v:12:y:2015:i:3:p:371-395

Ordering information: This journal article can be ordered from
http://www.springer. ... ch/journal/10287/PS2

DOI: 10.1007/s10287-014-0219-5

Access Statistics for this article

Computational Management Science is currently edited by Ruediger Schultz

More articles in Computational Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().