Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11758
Title: Aggregate procurement, production, and shipment planning decision problem for a three-echelon supply chain using swarm-based heuristics
Authors: Pal, A
Chan, FTS 
Mahanty, B
Tiwari, MK
Keywords: aggregate procurement
artificial bee colony optimisation
particle swarm optimisation
production and shipping
three-echelon supply chain
Issue Date: 2011
Publisher: Taylor & Francis Ltd
Source: International journal of production research, 2011, v. 49, no. 10, p. 2873-2905 How to cite?
Journal: International Journal of Production Research 
Abstract: Supplier selection is deemed as a crucial strategic decision-making activity in building a competitive edge. Firms prefer to operate with a few trusted suppliers, selected from a bigger pool of vendors. The chosen suppliers are the ones whose commitments are best oriented in realising the business goals of the company. At the same time enterprise targets cannot be achieved in the absence of cost-effective inventory management policies. This has created the inevitable need for aggregate production and distribution planning. Even more competitive strategy would be integrating procurement planning with production-distribution scheduling. We address the problem of integrated procurement, production and shipment planning for a supply chain, spanning over three echelons. Supplier order scheduling is combined with a production-shipment planning process to realise a minimum cost operations policy. Two recently developed swarm heuristics are employed to search for the near optimal solution of the mathematical model, which is developed to capture the aggregate planning problem.
URI: http://hdl.handle.net/10397/11758
DOI: 10.1080/00207541003730847
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

16
Citations as of Feb 24, 2017

WEB OF SCIENCETM
Citations

10
Last Week
0
Last month
0
Citations as of Jan 15, 2017

Page view(s)

26
Last Week
2
Last month
Checked on Feb 19, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.