Modelling production cost with the effects of learning and forgetting

被引：13
|
作者：
Lolli, Francesco [1 ]
Messori, Michael [1 ]
Gamberini, Rita [1 ]
Rimini, Bianca [1 ]
Balugani, Elia [1 ]
机构：
[1] Univ Modena & Reggio Emilia, Dept Sci & Methods Engn, Via Amendola 2, I-42122 Reggio Emilia, Italy
来源：
IFAC PAPERSONLINE | 2016年 / 49卷 / 12期
关键词：
learning curves; production cost; autonomous learning; induced learning; curve fitting; CUSTOMIZED ASSEMBLY LINES; SUPPLY CHAIN; CURVE; MAINTENANCE; REWORKS; BREAKS;
D O I：
10.1016/j.ifacol.2016.07.672
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Defining a dynamic model for calculating production cost is a challenging goal that requires a good fitting ability with real data over time. A novel cost curve is proposed here with the aim of incorporating both the learning and the forgetting phenomenon during both the production phases and the reworking operations. A single-product cost model is thus obtained, and a procedure for fitting the curve with real data is also introduced. Finally, this proposal is validated on a benchmark dataset in terms of mean square error. (C) 2016, IFAC (International Federation of Automatic Control) Hosting, by Elsevier Ltd. All rights reserved.
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页码：503 / 508
页数：6
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