The University of Southampton
University of Southampton Institutional Repository

Batching decisions for assembly production systems

Record type: Article

The two-stage assembly scheduling problem is a model for production processes that involve the assembly of final or intermediate products from basic components. In our model, there are m machines at the first stage that work in parallel, and each produces a component of a job. When all components of a job are ready, an assembly machine at the second stage completes the job by assembling the components. We study problems with the objective of minimizing the makespan, under two different types of batching that occur in some manufacturing environments. For one type, the time to process a batch on a machine is equal to the maximum of the processing times of its operations. For the other type, the batch processing time is defined as the sum of the processing times of its operations, and a setup time is required on a machine before each batch. For both models, we assume a batch availability policy, i.e., the completion times of the operations in a batch are defined to be equal to the batch completion time. We provide a fairly comprehensive complexity classification of the problems under the first type of batching, and we present a heuristic and its worst-case analysis under the second type of batching.

Full text not available from this repository.

Citation

Kovalyov, M.Y., Potts, C.N. and Strusevich, V.A. (2003) Batching decisions for assembly production systems European Journal of Operational Research, 157, (3), pp. 620-642. (doi:10.1016/S0377-2217(03)00250-9).

More information

Published date: 2003
Keywords: assembly scheduling problem, flow shop, batching, batch availability, complexity, approximation
Organisations: Operational Research

Identifiers

Local EPrints ID: 29624
URI: http://eprints.soton.ac.uk/id/eprint/29624
ISSN: 0377-2217
PURE UUID: 93f714d5-07fb-4409-b15f-6ecdc5c99041

Catalogue record

Date deposited: 12 May 2006
Last modified: 17 Jul 2017 15:57

Export record

Altmetrics

Contributors

Author: M.Y. Kovalyov
Author: C.N. Potts
Author: V.A. Strusevich

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×