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.

引用

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页码：503 / 508

页数：6

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