A decision support system for a third-party coordinator managing supply chain with demand uncertainty

Snehamay Banerjee, Damodar Yadaorao Golhar

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Global supply chains reduce cost but increase lead times, complexities and uncertainties. Retailers in consumer products industry are getting shorter lead time to respond to market demand. To meet this challenge, many rely on third party supply chain managers (SCMs) for economically supplying required quantities of finished products quickly. However, due to shorter time to market, the SCM has to procure raw materials and start production process based on expected demand. Since SCM absorbs financial penalties associated with under-and over-estimation of demand from retailer, finding an optimal production lot size and product customisation strategy are essential to an SCM's operation. We develop a profit maximisation model and provide a close-form solution that allows an SCM to calculate optimal production lot size. The model is used to examine profitability of postponing product customisation. Finally, the effect of demand variation on SCM's profitability is explored.

Original languageEnglish (US)
Pages (from-to)521-531
Number of pages11
JournalProduction Planning and Control
Volume24
Issue number6
DOIs
StatePublished - Jun 1 2013

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Keywords

  • customisation postponement
  • decision support system
  • demand uncertainty
  • supply chain manager

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