TY - JOUR
T1 - Closed Shop Scheduling Optimisation using Max-Plus Automata
AU - Merdekawati, Dian Ayu
AU - Subiono,
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/11/7
Y1 - 2019/11/7
N2 - An appropriate scheduling system is needed in manufacturing activities to minimize production time and costs. Flow shop is one type of production flow that widely used in manufacturing. Based on the demand criteria, it has been known as a scheduling problem called closed shop. This scheduling emphasizes the make-to-stock (MTS) which produces a stock. We take the closed shop scheduling case studies from an existing literature and optimize scheduling using max-plus automata optimum. We compare the result with regular scheduling and the previous result in the literature. We show that the result of max-plus automata optimum scheduling are optimum compared than the existing regular scheduling and the existing previous result of the literature.
AB - An appropriate scheduling system is needed in manufacturing activities to minimize production time and costs. Flow shop is one type of production flow that widely used in manufacturing. Based on the demand criteria, it has been known as a scheduling problem called closed shop. This scheduling emphasizes the make-to-stock (MTS) which produces a stock. We take the closed shop scheduling case studies from an existing literature and optimize scheduling using max-plus automata optimum. We compare the result with regular scheduling and the previous result in the literature. We show that the result of max-plus automata optimum scheduling are optimum compared than the existing regular scheduling and the existing previous result of the literature.
UR - http://www.scopus.com/inward/record.url?scp=85074970664&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1341/4/042015
DO - 10.1088/1742-6596/1341/4/042015
M3 - Conference article
AN - SCOPUS:85074970664
SN - 1742-6588
VL - 1341
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 4
M1 - 42015
T2 - 3rd International Conference on Science, ICOS 2019
Y2 - 26 July 2019 through 27 July 2019
ER -