Establishing a framework for the effective design of resilient supply chains with inherent non-linearities

Spiegler, V.L.M., Naim, M.M., Potter, A.T., Towill, Denis R (2015) Establishing a framework for the effective design of resilient supply chains with inherent non-linearities. In: The 20th International Symposium on Logistics (ISL), 5-8th July 2015, Bologna, Italy. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:57233)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://www.isl21.org/wp-content/uploads/2015/07/20...

Abstract

Previous control theory research on supply chain dynamics has predominantly taken a linear perspective of the real world, whereas nonlinearities have usually been studied via a simulation approach. Nonlinearities can naturally occur in supply chains through the existence of physical and economic constraints, for example, capacity limitations. Since the ability to flex capacity is an important aspect of supply chain resilience, there is a need to rigorously study such nonlinearities. Hence, the purpose of this paper is to propose a framework for the dynamic design of supply chains so that they are resilient to nonlinear system structures.

Item Type:	Conference or workshop item (Proceeding)
Subjects:	H Social Sciences > H Social Sciences (General)
Divisions:	Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User:	Virginia Spiegler
Date Deposited:	12 Sep 2016 13:55 UTC
Last Modified:	05 Nov 2024 10:47 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/57233 (The current URI for this page, for reference purposes)

University of Kent Author Information

Spiegler, V.L.M..

Creator's ORCID:	https://orcid.org/0000-0002-7130-3151
CReDIT Contributor Roles:

Depositors only (login required):

Download Statistics

Total unique views for this document in KAR since July 2020. For more details click on the image.