Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents

T. V. S. R. K. Prasad (), Kolla Srinivas () and C. Srinivas ()
Additional contact information
T. V. S. R. K. Prasad: Kallam Haranadha Reddy Institute of Technology
Kolla Srinivas: R.V.R & J.C. College of Engineering
C. Srinivas: R.V.R & J.C. College of Engineering

OPSEARCH, 2017, vol. 54, issue 2, No 1, 217-232

Abstract: Abstract The difference between integrated supply chain and decentralized supply chain is that in integrated supply chain, all the channel partners i.e., suppliers, manufacturers, transport providers, warehouse owners Will cooperate with each other and share the information on costs, capacities etc., to other partners with a view to reduce the overall supply chain cost. In decentralized supply chains, the channel partners will not share information with other partners for fear of distrust, losing their grip in their own domain. In decentralized supply chain systems, each entity (manufacturers, transporters etc.) is modeled as autonomous agent. Each autonomous agent has an objective and a set of constraints. All agents working together will develop feasible plans which are acceptable to all entities. In this paper a “Decentralized production–distribution planning in multi-echelon supply chain network using intelligent agents” model has been proposed and validated.

Keywords: Supply chain management; Decentralized SCM; Autonomous agents; Multi-echelon inventory (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12597-016-0277-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:opsear:v:54:y:2017:i:2:d:10.1007_s12597-016-0277-2

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/12597

DOI: 10.1007/s12597-016-0277-2

Access Statistics for this article

OPSEARCH is currently edited by Birendra Mandal

More articles in OPSEARCH from Springer, Operational Research Society of India
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().