Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24954
Title: An enhanced MPS solution for FMS using GAs
Authors: Keung, KW
Ip, WH 
Chan, CY 
Keywords: Flexible manufacturing systems
Master production schedule
Production planning
Production scheduling
Issue Date: 2001
Source: Integrated manufacturing systems, 2001, v. 12, no. 5, p. 351-359 How to cite?
Journal: Integrated Manufacturing Systems 
Abstract: Presents the master production scheduling (MPS) problem of a flexible manufacturing system (FMS). Earliness/tardiness production scheduling and planning (ETPSP) is one of the solutions used to integrate MRP and JIT effectively. Previous researches on ETPSP have only applied to problems of single/parallel machines with earliness and tardiness penalties on a common due date and capacity. Proposes a revised ETPSP for the purpose of developing an MPS that can fit into the FMS environment where a multiple machine capacity on multi-processes and batch sizes is included. Outlines the application of an enhanced ETPSP method using a genetic algorithm (GA) solution to solve a multi-product FMS production problem. Shows that the use of the improved ETPSP model can represent a real life FMS environment and that a solution can be effectively and efficiently obtained using the GA approach.
URI: http://hdl.handle.net/10397/24954
ISSN: 0957-6061
DOI: 10.1108/EUM0000000005712
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

9
Last Week
0
Last month
1
Citations as of Aug 19, 2017

Page view(s)

51
Last Week
5
Last month
Checked on Aug 14, 2017

Google ScholarTM

Check

Altmetric



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