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
Issue Date: 2011
Source: International journal of production research, 2011, v. 49, no. 10, p. 2873-2905
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.
Keywords: aggregate procurement
artificial bee colony optimisation
particle swarm optimisation
production and shipping
three-echelon supply chain
Publisher: Taylor & Francis
Journal: International journal of production research 
ISSN: 0020-7543
EISSN: 1366-588X
DOI: 10.1080/00207541003730847
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