A PROMETHEE method for priority decision of functional objective on manufacturing system

被引：0

作者：

Xu W. ^{[1
,2
]}

Liu L. ^{[1
,2
]}

Zhang Q. ^{[1
,2
]}

Wu L. ^{[1
,2
]}

机构：

[1] School of Management, Shenyang University of Technology, No. 111, Shenliao West Road

[2] Economic and Technological Development Zone, Shenyang

来源：

International Journal of Internet Manufacturing and Services | 2017年 / 4卷 / 04期

关键词：

Functional objective; Manufacturing system; Priority decision-making; Priority function; PROMETHEE method;

D O I：

10.1504/IJIMS.2017.088297

中图分类号：

学科分类号：

摘要：

The objective of manufacturing system function is the base of enterprise strategy implementation, providing guarantee for market competition. It mainly contains of six aspects, such as cost, quality, efficiency, flexibility, and time and environment protection. We establish a method for priority decision-making of manufacturing system function objective combined with improved PROMETHEE method. Through the analysis of the characteristics of the advanced manufacturing system and the identification of the elements of the functional objective, we establish a method of priority decision-making for the manufacturing system function objective combined with the improved PROMETHEE method. This method establishes an integrated model, six priority function and variable entropy method, to improve the PROMETHEE. Through the actual evaluation of the heavy-duty truck manufacturing system designed by the North heavy industry project, we gain a competitive priority decision-making scheme. Finally, the following research directions are discussed. Copyright © 2017 Inderscience Enterprises Ltd.

引用

页码：255 / 268

页数：13

共 23 条

[1]

Agyapong-Kodua K., Towards the derivation of an integrated process cost-modeling technique for complex manufacturing systems, International Journal of Production Research, 49, 24, pp. 7361-7368, (2011)

[2]

Amasaka K., The foundation for advance the TOYOTA production system utilizing new JIT, Journal of Advanced Manufacturing Systems, 8, 1, pp. 5-12, (2009)

[3]

Behzadian M., Kazemzadeh R.B., Albadvi A., Aghdasi M., PROMTHEE: A comprehensive literature review on methodologies and applications, European Journal of Operational Research, 200, 1, pp. 198-215, (2010)

[4]

Brans J.P., L'ingénièrie de la décision. Elaboration d'instruments d'aide à la décision. La méthode PROMETHEE, L'Aide À la Décision: Nature, Instruments et Perspectives d'Avenir, pp. 183-213, (1982)

[5]

Choudhari S.C., Choices in manufacturing strategy decision areas in batch production system - Six case studies, International Journal of Production Research, 50, 14, pp. 3698-3701, (2012)

[6]

Choudhariab S.C., Congruence of manufacturing decision areas in a production system: A research framework, International Journal of Production Research, 48, 20, pp. 5963-5971, (2010)

[7]

Demartini P., Paoloni P., Managing sustainability through the IC practice lens, 8th International Forum on Knowledge Asset Dynamics (IFKAD), pp. 12-14, (2013)

[8]

Eppe S., De Smet Y., Approximating PROMETHEE II's net flow scores by piecewise linear value functions, European Journal of Operational Research, 233, 3, pp. 651-659, (2014)

[9]

Espinilla M., Halouani N., Chabchoub H., Pure linguistic PROMETHEE i and II methods for heterogeneous MCGDM problems, International Journal of Computational Intelligence Systems, 8, 2, pp. 250-264, (2015)

[10]

Faria J.A., Cost and quality of service analysis of production systems based on the cumulative downtime, International Journal of Production Research, 48, 6, pp. 1653-1661, (2010)

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