Semi-Continuous Robust Approach for Strategic Infrastructure Planning of Reverse Production Systems

Assavapokee, Tiravat

Title:

Semi-Continuous Robust Approach for Strategic Infrastructure Planning of Reverse Production Systems

dc.contributor.advisor	Ammons, Jane C.
dc.contributor.advisor	Realff, Matthew J.
dc.contributor.author	Assavapokee, Tiravat
dc.contributor.committeeMember	White, Chelsea C.
dc.contributor.committeeMember	Griffin, Paul
dc.contributor.committeeMember	Ahmed, Shabbir
dc.contributor.department	Industrial and Systems Engineering
dc.date.accessioned	2006-02-23T19:27:32Z
dc.date.available	2006-02-23T19:27:32Z
dc.date.issued	2004-04-06
dc.description.abstract	Growing attention is being paid to the problem of efficiently designing and operating reverse supply chain systems to handle the return flows of production wastes, packaging, and end-of-life products. Because uncertainty plays a significant role in all fields of decision-making, solution methodologies for determining the strategic infrastructure of reverse production systems under uncertainty are required. This dissertation presents innovative optimization algorithms for designing a robust network infrastructure when uncertainty affects the outcomes of the decisions. In our context, robustness is defined as minimizing the maximum regret under all realization of the uncertain parameters. These new algorithms can be effectively used in designing supply chain network infrastructure when the joint probability distributions of key parameters are unknown. These algorithms only require the information on potential ranges and possible discrete values of uncertain parameters, which often are available in practice. These algorithms extend the state of the art in robust optimization, both in the structure of the problems they address and the size of the formulations. An algorithm for dealing with the problem with correlated uncertain parameters is also presented. Case studies in reverse production system infrastructure design are presented. The approach is generalizable to the robust design of network supply chain systems with reverse production systems as one of their subsystems.	en
dc.description.degree	Ph.D.
dc.format.extent	11264612 bytes
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/1853/7945
dc.language.iso	en_US	en
dc.publisher	Georgia Institute of Technology	en
dc.subject	Robust optimization
dc.subject	Min-Max regret
dc.subject	Decision making under uncertainty
dc.subject	Interval data minmax regret
dc.title	Semi-Continuous Robust Approach for Strategic Infrastructure Planning of Reverse Production Systems	en
dc.type	Text
dc.type.genre	Dissertation
dspace.entity.type	Publication
local.contributor.advisor	Realff, Matthew J.
local.contributor.advisor	Ammons, Jane C.
local.contributor.corporatename	H. Milton Stewart School of Industrial and Systems Engineering
local.contributor.corporatename	College of Engineering
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