DocumentCode :
3039235
Title :
Holonic Goal-Driven Scheduling Model for Manufacturing Networks
Author :
Jules, Guiovanni ; Saadat, Mahmoud ; Saeidlou, Salman
Author_Institution :
Sch. of Mech. Eng., Univ. of Birmingham, Birmingham, UK
fYear :
2013
fDate :
13-16 Oct. 2013
Firstpage :
1235
Lastpage :
1240
Abstract :
This study is about the generation of prospective job schedules by manufacturing networks prior to selection of the best manufacturing network for the job. The primary objectives of the manufacturing network selection process were to find networks with the best job lead time (determined by the scheduling process), then those with the best job quality, and finally those with the best job cost. In this paper, forward scheduling of jobs was combined with the popular priority rules namely FCFS, SPT, DDATE and SLACK, and compared with instances when resource slack time reduction algorithm was used. A Computer-Aided-Software-Engineering tool was created to provide the infrastructure that inputted relevant scenarios to the scheduling algorithms and outputted the results in terms of the indicators of lead time, quality, cost and resource slack time. The tool is an implementation of the distributed and holonic manufacturing model and was used to develop the decision making algorithms. These algorithms are presented in this paper. Results show improvements in terms of aforementioned indicators. In the case of SPT priority rule, resource slack time improvements were encouraging.
Keywords :
computer aided engineering; decision making; lead time reduction; manufacturing systems; production engineering computing; resource allocation; scheduling; software engineering; DDATE priority rule; FCFS priority rule; SLACK priority rule; SPT priority rule; computer-aided software engineering tool; decision making algorithms; due date priority rule; first come first served priority rule; holonic goal-driven scheduling model; holonic manufacturing model; job cost; job lead time; job quality; manufacturing network selection process; manufacturing networks; prospective job schedule generation; resource slack time reduction algorithm; scheduling algorithms; scheduling process; shortest processing time priority rule; Companies; Correlation; Job shop scheduling; Manufacturing; Scheduling algorithms; Manufacturing network; algorithm; holonic; scheduling; slack time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/SMC.2013.214
Filename :
6721967
Link To Document :
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