Method for control of the make-to-order manufacturing system on the base of earning power assessment-Reference-Cited by-同舟云学术

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Method for control of the make-to-order manufacturing system on the base of earning power assessment

Published:2012-06-10 Issue:9-12 Volume:65 Page:1439-1458
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Ghelase Daniela,Daschievici Luiza,Marinescu Vasile,Epureanu Alexandru

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00170-012-4269-y.pdf

Reference48 articles.

1. Hemmati S, Rabbani M (2009) Make-to-order/make-to-stock partitioning decision using the analytic network process. Int J Adv Manuf Technol. doi: 10.1007/s00170-009-2312-4

2. Garcia-Crespo A, Ruiz-Mezcua B, Lopez-Cuadrado JL, Gonzales-Carrasco I (2009) A review of conventional and knowledge based systems for machining price quatation. J Intel Manuf. doi: 10.1007/s10845-009-0335-1

3. Niazi A, Dai J, Balabani S, Seneviratne L (2006) Product cost estimation: technique classification and methodology review. J Manuf Sci Eng 128(2):563–575

4. Shehab E, Abdalla H (2002) An intelligent knowledge-based system for product cost modelling. Int J Adv Manuf Technol 19:49–65

5. H'mida F, Martin P, Vernadat F (2006) Cost estimation in mechanical production: the cost entity approach applied to integrated product engineering. Int J Prod Econ 103:17–35

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1. Analyzing the Factors for Implementing Make-to-Order Manufacturing System;Sustainability;2023-06-29

2. Single machine scheduling in make to order environments: A systematic review;Computers & Industrial Engineering;2022-07

3. About the Order Fulfillment Stage of the Manufacturing System Part 2;EARTH SCIENCES AND HUMAN CONSTRUCTIONS;2022-03-23

4. Instance-based comparative assessment with application in manufacturing;IOP Conference Series: Materials Science and Engineering;2018-09-18

5. A Predictive Model of Multi-Stage Production Planning for Fixed Time Orders;Management and Production Engineering Review;2014-09-29

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