Lean Production

Computers & Industrial Engineering 42 (2002) 127±136 www.elsevier.com/locate/dsw An optimal stack size for a JIT manufacturing outline Lutfar R. Khan a,*, Ruhul A. Sarker b a discipline of Communications and Informatics, capital of Seychelles University of Technology, Footscray Campus, P.O. Box 14428 MCMC, Melbourne, Vic 8001, Australia b School of Computer Science, University of New second Wales, ADFA Campus, Northcott Drive, Canberra 2600, Australia Abstract This story addresses the problem of a manufacturing transcription that procures raw corporals from suppliers in a lot and processes them to convert to ®nished products. It proposes an enjoin policy for raw materials to tinct the requirements of a production facility. In turn, this facility must comport ®nished products demanded by outside buyers at ®xed interval points in time. In this paper, ®rst we estimate production can sizes for a JIT delivery system and then we incorporate a JIT raw materia l show system. A simple algorithmic program is developed to think the batch sizes for both manufacturing and raw material purchasing policies. computational experiences of the problem are also brie¯y discussed. q 2002 Elsevier Science Ltd. only rights reserved.

Keywords: Inventory control; Materials procurement; JIT; oscillating delivery; best order quantity 1. Introduction A desirable flesh in long-term purchase agreements in a just-in-time (JIT) manufacturing environs is the frequent delivery of small quantities of items by suppliers/vendors so as to minimize inventory guardianship costs for the buyer . ensure a manufacturing system that procure! s raw materials from outside suppliers and processes them to convert into ®nished products for retailers/customers. The manufacturer must deliver the products in small quantities to minimize the retailers attribute cost, and seize the supply of small quantities of raw materials to minimize his stimulate holding costs. In the traditional JIT environment, the supplier of raw materials is...If you essential to puff a full essay, order it on our website: OrderCustomPaper.com

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