Universal logic assessment for complex product design with respect to smart energy efficient manufacturing characteristics

Abstract

This paper proposes an assessment method of complex product design associated with smart energy efficient manufacturing characteristics based on the universal logic. Semantic expression of complex product solution is accomplished by the function tree of AND/OR and matches proposition set. Evaluation index of product solutions is divided into functional index and smart energy efficient manufacturing index in unit of each individual match proposition. Then, assessment is implemented by a fuzzy synthesis algorithm. Universal logic of proposition autocorrelation and cross-correlation combined influence model of assessment for complex product design effectively deals with smart energy efficient manufacturing characteristics, and considers integration characteristics among each individual solution. The logic inference of compositional proposition realizes the overall scheme evaluation. Finally, a case study involving design scheme evaluation of high-precision gear cutting machine tool is described to illustrate the proposed method and the method is proven to be effective.

Keywords

Universal logic complex product design assessment smart energy efficient manufacturing characteristics gear cutting machine

Get full access to this article

View all access options for this article.

References

Fang K, Uhan N, Zhao F, et al. A new shop scheduling approach in support of sustainable manufacturing. In: Proceedings of the 18th CIRP international conference on life cycle engineering, Braunschweig, Germany, 2–4 May 2011, pp.305–310. Technische Universität Braunschweig.

Abdelaziz

Saidur

Mekhilef

. A review on energy saving strategies in industrial sector. Renew Sustain Energy Rev 2011; 15: 150–168.

Unsek

Vodicka

Schönsleben

et al.

Integrating energy efficiency performance in production management – gap analysis between industrial needs and scientific literature. J Clean Prod 2011; 19: 667–679.

Beer

Liyanage

Performance standardization for sustainability in complex production networks: A roadmap. In: Lee

Sarangapani

Mathew

(eds). Engineering asset management 2011. Lecture Notes in Mechanical Engineering, London: Springer, 2014, pp. 339–348.

Marko

. Sustainability through production networks. Manage Prod Eng Rev 2013; 4: 76–82.

Cheng J, Feng Y, Lin Z, et al. Anti-vibration optimization of the key components in a turbo-generator based on heterogeneous axiomatic design. J Clean Prod 2017; 141: 1467–1477.

Filice

Ambrogio

Gaudioso

. Optimised tool-path design to reduce thinning in incremental sheet forming process. Int J Mater Form 2013; 6: 173–178.

Kara

. Unit process energy consumption models for material removal processes. CIRP Ann - Manuf Technol 2011; 60: 37–40.

Bhushan

. Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites. J Clean Prod 2013; 39: 242–254.

10.

Böhner

Hamacher

Reger

et al.

Derivation of measures for energy efficient machine design by evaluating energy consumption data. Procedia CIRP 2014; 15: 437–442.

11.

Prommak

Modhirun

. Optimal network design for efficient energy utilization in wireless sensor networks. J Comput Sci 2012; 109: 441–474.

12.

Srivastava

Sudarshan

. A genetic fuzzy system based optimized zone based energy efficient routing protocol for mobile sensor networks (OZEEP). Appl Soft Comput 2015; 37: 863–886.

13.

Sara

Devi

Sridharan

. A genetic-algorithm-based optimized clustering for energy-efficient routing in MWSN. ETRI J 2012; 34: 922–931.

14.

Bush

Palasciano

Staudacher

et al.

Investigating lean methodology for energy efficient manufacturing. Adv Prod Manage Syst 2014; 439: 508–517.

15.

Przemysław

. Developments in integration of advanced monitoring systems. Int J Adv Manuf Technol 2014; 75: 1613–1632.

16.

Kasuga

Ohmori

Lin

et al.

Efficient super-smooth finishing characteristics of sic materials through the use of fine-grinding. Key Eng Mater 2008; 404: 5–8.

17.

Luo

Huang

et al.

Hybrid flow shop scheduling considering machine electricity consumption cost. Int J Prod Econ 2013; 146: 423–439.

18.

Mori

Fujishima

Inamasu

et al.

A study on energy efficiency improvement for machine tools. CIRP Ann - Manuf Technol 2011; 60: 145–148.

19.

Dornfeld

. Moving towards green and sustainable manufacturing. Int J Precis Eng Manuf-Green Technol 2014; 1: 63–66.

20.

Campatelli

Scippa

Lorenzini

et al.

Optimal workpiece orientation to reduce the energy consumption of a milling process. Int J Precis Eng Manuf-Green Technol 2015; 2: 5–13.