TY - GEN
T1 - An iterative stochastic approach estimating the completion times of automated material handling jobs
AU - Cho, Gunwoo
AU - Chung, Jaewoo
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2014
Y1 - 2014
N2 - Recently manufacturing facilities increasingly use automated material handling systems (AMHS) owing to the advancement in control technology. They provide various material handling functions such as transportation, storage, sorting, and identification with quicker and precise devices. This paper studies an estimation method encountered in manufacturing facilities operated by automated material handling systems. A heuristic method based on a stochastic approach is used to estimate the arrival times of transportation jobs to their final destinations in a manufacturing facility. To analyze the performance of the new method, the authors collected a set of actual transportation data from the industry and the analysis shows that the new method outperforms an existing method that uses simple statistics based on historical data.
AB - Recently manufacturing facilities increasingly use automated material handling systems (AMHS) owing to the advancement in control technology. They provide various material handling functions such as transportation, storage, sorting, and identification with quicker and precise devices. This paper studies an estimation method encountered in manufacturing facilities operated by automated material handling systems. A heuristic method based on a stochastic approach is used to estimate the arrival times of transportation jobs to their final destinations in a manufacturing facility. To analyze the performance of the new method, the authors collected a set of actual transportation data from the industry and the analysis shows that the new method outperforms an existing method that uses simple statistics based on historical data.
KW - Arrival time estimation
KW - Automated material handling system
KW - Stochastic method
UR - http://www.scopus.com/inward/record.url?scp=84922371444&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-14078-0_18
DO - 10.1007/978-3-319-14078-0_18
M3 - Conference contribution
AN - SCOPUS:84922371444
T3 - Lecture Notes in Engineering and Computer Science
SP - 155
EP - 161
BT - Enhancing Synergies in a Collaborative Environment
A2 - Cortés, Pablo
A2 - Escudero-Santana, Alejandro
A2 - Maeso-González, Elvira
PB - Newswood Limited
T2 - 8th International Conference on Industrial Engineering and Industrial Management, CIO 2014, 20th International Conference on Industrial Engineering and Operations Management, ICIEOM 2014 and International IIE Conference, IIIE 2014
Y2 - 23 July 2014 through 25 July 2014
ER -