Multi-agent Approach for Personnel Scheduling and Rescheduling in Assembly Centers
M. Sabar. Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World (Part I), volume 438 of IFIP Advances in Information and Communication Technology, Springer, Heidelberg, (2014)
DOI: 10.1007/978-3-662-44739-0_42
Abstract
This article presents a multi-agent based algorithm for personnel scheduling and rescheduling in the dynamic environment of a paced multi-product assembly center. Our purpose is, on the one hand, to elaborate daily assignment of employees to workstations to minimize the operational costs as well as the personnel dissatisfactions and, on the other hand, to generate an alternative planning when the first solution has to be rescheduled due to disturbances related to operators' absenteeism. The proposed approach considers the individual competencies, mobility and preferences of each employee, as well as the personnel and competency requirements associated with each assembly activity given both the current master assembly schedule and the line balancing for each product. To benchmark the performance of the multi-agent approach, we use solutions obtained through a simulated annealing algorithm. Experimental results show that our multi-agent approach can produce high-quality and efficient solutions in a short computational time.
%0 Book Section
%1 Sabar14APMS
%A Sabar, M.
%B Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World (Part I)
%C Heidelberg
%D 2014
%E Grabot, Bernard
%E Vallespir, Bruno
%E Gomes, Samuel
%E Bouras, Abdelaziz
%E Kiritsis, Dimitris
%I Springer
%K 01624 springer paper ai business process factory product processing agent algorithm optimize
%P 345--354
%R 10.1007/978-3-662-44739-0_42
%T Multi-agent Approach for Personnel Scheduling and Rescheduling in Assembly Centers
%V 438
%X This article presents a multi-agent based algorithm for personnel scheduling and rescheduling in the dynamic environment of a paced multi-product assembly center. Our purpose is, on the one hand, to elaborate daily assignment of employees to workstations to minimize the operational costs as well as the personnel dissatisfactions and, on the other hand, to generate an alternative planning when the first solution has to be rescheduled due to disturbances related to operators' absenteeism. The proposed approach considers the individual competencies, mobility and preferences of each employee, as well as the personnel and competency requirements associated with each assembly activity given both the current master assembly schedule and the line balancing for each product. To benchmark the performance of the multi-agent approach, we use solutions obtained through a simulated annealing algorithm. Experimental results show that our multi-agent approach can produce high-quality and efficient solutions in a short computational time.
%@ 978-3-662-44738-3
@incollection{Sabar14APMS,
abstract = {This article presents a multi-agent based algorithm for personnel scheduling and rescheduling in the dynamic environment of a paced multi-product assembly center. Our purpose is, on the one hand, to elaborate daily assignment of employees to workstations to minimize the operational costs as well as the personnel dissatisfactions and, on the other hand, to generate an alternative planning when the first solution has to be rescheduled due to disturbances related to operators' absenteeism. The proposed approach considers the individual competencies, mobility and preferences of each employee, as well as the personnel and competency requirements associated with each assembly activity given both the current master assembly schedule and the line balancing for each product. To benchmark the performance of the multi-agent approach, we use solutions obtained through a simulated annealing algorithm. Experimental results show that our multi-agent approach can produce high-quality and efficient solutions in a short computational time.},
added-at = {2014-10-04T20:54:05.000+0200},
address = {Heidelberg},
author = {Sabar, M.},
biburl = {https://www.bibsonomy.org/bibtex/2dd2ab6f2bf27552fa3f7f9a671edc6b2/flint63},
booktitle = {Advances in Production Management Systems: Innovative and Knowledge-Based Production Management in a Global-Local World (Part I)},
crossref = {APMS2014a},
doi = {10.1007/978-3-662-44739-0_42},
editor = {Grabot, Bernard and Vallespir, Bruno and Gomes, Samuel and Bouras, Abdelaziz and Kiritsis, Dimitris},
file = {Springer4Pro:2014/Sabar14APMS.pdf:PDF},
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isbn = {978-3-662-44738-3},
keywords = {01624 springer paper ai business process factory product processing agent algorithm optimize},
pages = {345--354},
publisher = {Springer},
series = {IFIP Advances in Information and Communication Technology},
timestamp = {2017-07-13T17:15:20.000+0200},
title = {Multi-agent Approach for Personnel Scheduling and Rescheduling in Assembly Centers},
username = {flint63},
volume = 438,
year = 2014
}