Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26108

Title: Multi-job production systems: definition, problems, and product-mix performance portrait of serial lines
Authors: Alavian, Pooya
Denno, Peter
Meerkov, Semyon M.
Keywords: Flexible manufacturing systems
Serial lines
Unreliable machines
Throughput and bottleneck analysis
Performance portrait
Issue Date: 2017
Publisher: © Taylor & Francis
Citation: ALAVIAN, P., DENNO, P. and MEERKOV, S.M., 2017. Multi-job production systems: definition, problems, and product-mix performance portrait of serial lines. International Journal of Production Research, 55(24), pp. 7276-7301.
Abstract: This paper pursues two goals: (a) Define a class of widely used in practice flexible manufacturing systems, referred to as Multi-Job Production (MJP) and formulate industrially motivated problems related to their performance. (b) Provide initial results concerning some of these problems pertaining to analysis of the throughput and bottlenecks of MJP serial lines as functions of the product-mix. In MJP systems, all job-types are processed by the same sequence of manufacturing operations, but with different processing time at some or all machines. To analyse MJP with unreliable machines, we introduce the work-based model of production systems, which is insensitive to whether single- or multi-job manufacturing takes place. Based on this model, we investigate the performance of MJP lines as a function of the product-mix. We show, in particular, that for the so-called conflicting jobs there exists a range of product-mixes, wherein the throughput of MJP is larger than that of any constituent job-type manufactured in a single-job regime. To characterise the global behaviour of MJP lines, we introduce the Product-Mix Performance Portrait, which represents the system properties for all product-mixes and which can be used for operations management. Finally, we report the results of an application at an automotive assembly plant.
Description: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 28 Jun 2017, available online: http://dx.doi.org/10.1080/00207543.2017.1338779
Sponsor: This work has been supported, in part, by the National Institute of Standards and Technology [Award Number 70NANB16H017].
Version: Accepted for publication
DOI: 10.1080/00207543.2017.1338779
URI: https://dspace.lboro.ac.uk/2134/26108
Publisher Link: http://dx.doi.org/10.1080/00207543.2017.1338779
ISSN: 0020-7543
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

Files associated with this item:

File Description SizeFormat
MJP revision 2 black.pdfAccepted version1.46 MBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.