Title: Transfer batch size impact on a job shop environment performance

Authors: Myriam Leonor Niño López; Henry Lamos Díaz; Paula Julieth Jaimes Sanmiguel; Julieth Vanessa Rivera González

Addresses: School of Industrial and Business Studies Industrial Engineering, Industrial University of Santander, Ciudad Universitaria, Career 27, Street 9, Postal Code 680002, Bucaramanga, Santander, Colombia ' School of Industrial and Business Studies Industrial Engineering, Industrial University of Santander, Ciudad Universitaria, Career 27, Street 9, Postal Code 680002, Bucaramanga, Santander, Colombia ' School of Industrial and Business Studies Industrial Engineering, Industrial University of Santander, Ciudad Universitaria, Career 27, Street 9, Postal Code 680002, Bucaramanga, Santander, Colombia ' School of Industrial and Business Studies Industrial Engineering, Industrial University of Santander, Ciudad Universitaria, Career 27, Street 9, Postal Code 680002, Bucaramanga, Santander, Colombia

Abstract: Lot streaming is an operational scheduling technique which allows overlapping between successive operations because of the frequent transport of transfer batches smaller than the process lot. This study aims to statistically evaluate the lot streaming impact on the dependent variables makespan and idle capacity of resources in a job shop, taking into account transportation activities. Four lot streaming policies for different demand scenarios and different products mixes are analyzed. This problem is formulated by mixed integer linear programming and solved in GAMS. Finally, statistical analysis shows the benefit on the system performance by applying this technique.(Received 14 October 2016; Accepted 09 February 2017)

Keywords: lot streaming; transfer batch; job shop; transportation time; makespan; mixed integer linear programming.

DOI: 10.1504/IJMR.2017.086173

International Journal of Manufacturing Research, 2017 Vol.12 No.3, pp.318 - 337

Received: 06 Oct 2016
Accepted: 09 Feb 2017
Published online: 28 Aug 2017 *

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