Design a just-in-time organization system using a stochastic gradient algorithm

Yong Yin, Meng Li, Ikou Kaku, Chenguang Liu

Research output: Contribution to journalArticlepeer-review

Abstract

This paper introduces a new highly fiexible manufacturing organization, seru, which has brought huge benefits to industries. Seru was developed to cope with shorter product life-cycles, uncertainty in product types and demands, and fluctuating production demands (sometimes mass, sometimes batch and sometimes very small volumes). We construct a dynamic seru system model to maximize expected company profit under stochastic production demands and uncertain product types. Because the profit function is not concave, a convergent stochastic gradient algorithm is used to find a stable solution. A numerical example is used to illustrate the proposed stochastic gradient algorithm.

Original languageEnglish (US)
Pages (from-to)1739-1745
Number of pages7
JournalICIC Express Letters
Volume5
Issue number5
StatePublished - May 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Keywords

  • Just-in-time organization system
  • Market uncertainty
  • Mass customization
  • Workforce agility

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