• DocumentCode
    2853345
  • Title

    Optimum quantities of make and buy in multi-item manufacturing firms with restriction in production capacity

  • Author

    Neghab, M. A Pirayesh ; Poormoaied, S.

  • Author_Institution
    Dept. of Ind. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    313
  • Lastpage
    317
  • Abstract
    Sometimes, some companies with consideration to their production capacity cannot respond to their demand. If demand increases and company doesn´t have sufficient capacity to respond to such demand, it will encounter backlogging. Also, in a multi-item company, if the number of products increases, the company may not be able to produce some products, thus backlogging will be occurred. In this paper, we consider such companies that will encounter the mentioned conditions and will be enforced to buy some products from outside. The aim of this paper is determination of optimum quantities of make and buy for each product to minimize total inventory cost. We refer to the proposed model as make-with-buy model. In this paper we formulate the make-with-buy model and solve it by genetic algorithm through Matlab software.
  • Keywords
    capacity planning (manufacturing); genetic algorithms; inventory management; manufacturing industries; Matlab software; genetic algorithm; make-with-buy model; multiitem manufacturing firms; optimum quantity determination; production capacity restriction; total inventory cost minimization; Companies; Genetic algorithms; Mathematical model; Numerical models; Procurement; Production; Software; Inventory cost; Make-with-buy; Multi-item; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6117929
  • Filename
    6117929