Top

Journal of Intelligent Manufacturing

Published in:

04-11-2017

A new fuzzy QoS-aware manufacture service composition method using extended flower pollination algorithm

Authors: Shuai Zhang, Yangbing Xu, Wenyu Zhang, Dejian Yu

Published in: Journal of Intelligent Manufacturing | Issue 5/2019

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

With the increasing complexity of manufacturing tasks and the exponential growth of candidate services, manufacturing service composition has become considerably challenging in relation to the integration of service supply chains in fuzzy manufacturing environments. Quality of service (QoS), as a popular index, is widely used to evaluate the fitness of solutions to the manufacturing service composition (SMSC). In this study, we first establish a new fuzzy QoS-aware mathematical model that considers the preferences of manufacturing enterprises by assigning different sub-tasks with different weights to evaluate the global fuzzy QoS of the SMSCs. We then extend the flower pollination algorithm (FPA) to obtain an optimal SMSC more effectively by making the switch probability self-adaptive, improving the local search ability, and adding the strategy of elite replacement. Finally, we demonstrate that the proposed extended FPA is an effective and efficient algorithm for solving the manufacturing service composition problem with differently weighted sub-tasks in a fuzzy manufacturing environment. We do this by comparing it with other well-known metaheuristic algorithms such as basic FPA, genetic algorithm, cuckoo search algorithm, and particle swarm optimization.

previous article Comparative analysis of different digitization systems and selection of best alternative

next article A new design method based on feature reusing of the non-standard cam structure for automotive panels stamping dies

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Amin, S. H., & Razmi, J. (2009). An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation. Expert Systems with Applications, 36(4), 8639–8648.CrossRef

Cao, Y. L., Wu, Z. J., Liu, T., Gao, Z. B., & Yang, J. X. (2016). Multivariate process capability evaluation of cloud manufacturing resource based on intuitionistic fuzzy set. The International Journal of Advanced Manufacturing Technology, 84(1), 227–237.CrossRef

Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102(2), 289–301.CrossRef

Kahraman, C., Cebeci, U., & Ruan, D. (2004). Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey. International Journal of Production Economics, 87(2), 171–184.CrossRef

Kanagaraj, G., Ponnambalam, S. G., & Jawahar, N. (2016). Reliability-based total cost of ownership approach for supplier selection using cuckoo-inspired hybrid algorithm. The International Journal of Advanced Manufacturing Technology, 84(5), 801–816.

Karagöz, S., & Yildiz, A. R. (2017). A comparison of recent metaheuristic algorithms for crashworthiness optimisation of vehicle thin-walled tubes considering sheet metal forming effects. International Journal of Vehicle Design, 73(1–3), 179–188.CrossRef

Li, Q., Dou, R. L., Chen, F. Z., & Nan, G. F. (2014). A QoS-oriented web service composition approach based on multi-population genetic algorithm for internet of things. International Journal of Computational Intelligence Systems, 7(2), 26–34.CrossRef

Lin, Y. K., & Chong, C. S. (2017). Fast GA-based project scheduling for computing resources allocation in a cloud manufacturing system. Journal of Intelligent Manufacturing, 28(5), 1189–1201.CrossRef

Liou, T. S., & Wang, M. J. J. (1992). Ranking fuzzy numbers with integral value. Fuzzy Sets and Systems, 50(3), 247–255.CrossRef

Nedic, N., Stojanovic, V., & Djordjevic, V. (2015). Optimal control of hydraulically driven parallel robot platform based on firefly algorithm. Nonlinear Dynamics, 82(3), 1–17.CrossRef

Pavlyukevich, I. (2007). Lévy flights, non-local search and simulated annealing. Journal of Computational Physics, 226(2), 1830–1844.CrossRef

Prsic, D., Nedic, N., & Stojanovic, V. (2016). A nature inspired optimal control of pneumatic-driven parallel robot platform. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, 231(1), 59–71.CrossRef

Stojanovic, V., & Nedic, N. (2016). A nature inspired parameter tuning approach to cascade control for hydraulically driven parallel robot platform. Journal of Optimization Theory and Applications, 168(1), 332–347.CrossRef

Stojanovic, V., Nedic, N., Prsic, D., Dubonjic, L., & Djordjevic, V. (2016). Application of cuckoo search algorithm to constrained control problem of a parallel robot platform. International Journal of Advanced Manufacturing Technology, 87, 1–11.CrossRef

Storn, R., & Price, K. (1997). Differential evolution—A simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization, 11(4), 341–359.CrossRef

Tao, F., Zhao, D. M., Hu, Y. F., & Zhou, Z. D. (2008). Resource service composition and its optimal-selection based on particle swarm optimization in manufacturing grid system. IEEE Transactions on Industrial Informatics, 4(4), 315–327.CrossRef

Tao, F., Zhao, D. M., Yefa, H., & Zhou, Z. D. (2010). Correlation-aware resource service composition and optimal-selection in manufacturing grid. European Journal of Operational Research, 201(1), 129–143.CrossRef

Van Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11(3), 229–241.CrossRef

Wang, R., & Zhou, Y. Q. (2014). Flower pollination algorithm with dimension by dimension improvement. Mathematical Problems in Engineering, 2014(4), 1–9.

Xiang, F., Hu, Y. F., Yu, Y. R., & Wu, H. C. (2014). QoS and energy consumption aware service composition and optimal-selection based on Pareto group leader algorithm in cloud manufacturing system. Central European Journal of Operations Research, 22(4), 663–685.CrossRef

Xu, W. J., Tian, S. S., Liu, Q., Xie, Y. Q., Zhou, Z. D., & Pham, D. T. (2016). An improved discrete bees algorithm for correlation-aware service aggregation optimization in cloud manufacturing. The International Journal of Advanced Manufacturing Technology, 84(1), 17–28.CrossRef

Yang, X. S. (2012). Flower pollination algorithm for global optimization. In Processing of the 17th international conference on unconventional computing and natural computation, Orléans, France, pp. 240–249.

Yang, X. S., Karamanoglu, M., & He, X. (2014). Flower pollination algorithm: A novel approach for multiobjective optimization. Engineering Optimization, 46(9), 194–195.CrossRef

Yaqiong, L., Man, L. K., & Zhang, W. (2011). Fuzzy theory applied in quality management of distributed manufacturing system: A literature review and classification. Engineering Applications of Artificial Intelligence, 24(2), 266–277.CrossRef

Yildiz, A. R. (2013). Optimization of multi-pass turning operations using hybrid teaching learning-based approach. International Journal of Advanced Manufacturing Technology, 66(9–12), 1319–1326.CrossRef

Yildiz, B. S. (2017a). A comparative investigation of eight recent population-based optimisation algorithms for mechanical and structural design problems. International Journal of Vehicle Design, 73(1–3), 208–218.CrossRef

Yildiz, B. S. (2017b). Natural frequency optimization of vehicle components using the interior search algorithm. Materialprufung, 59(5), 456–458.

Yildiz, A. R., Kurtuluş, E., Demirci, E., Yildiz, B. S., & Karagöz, S. (2016a). Optimization of thin-wall structures using hybrid gravitational search and Nelder–Mead algorithm. Materialprufung, 58(1), 75–78.

Yildiz, B. S., Lekesiz, H., & Yildiz, A. R. (2016b). Structural design of vehicle components using gravitational search and charged system search algorithms. Materialprufung, 58(1), 79–81.

Yildiz, A. R., Pholdee, N., & Bureerat, S. (2017). Hybrid real-code population-based incremental learning and differential evolution for many-objective optimisation of an automotive floor-frame. International Journal of Vehicle Design, 73(1–3), 20–53.CrossRef

Yildiz, A. R., & Saitou, K. (2011). Topology synthesis of multicomponent structural assemblies in continuum domains. Journal of Mechanical Design, 133(1), 788–796.CrossRef

Yildiz, B. S., & Yildiz, A. R. (2017). Moth-flame optimization algorithm to determine optimal machining parameters in manufacturing processes. Materialprufung, 59(5), 425–429.

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.CrossRef

Zhang, W. Y., Yang, Y. S., Zhang, S., & Xu, Y. B. (2016a). A new manufacturing service selection and composition method using improved flower pollination algorithm. Mathematical Problems in Engineering, 2016(1), 1–12.

Zhang, S., Yu, Z. N., Zhang, W. Y., Yu, D. J., & Xu, Y. B. (2016b). An extended genetic algorithm for distributed integration of fuzzy process planning and scheduling. Mathematical Problems in Engineering, 2016(3), 1–13.

Zhang, W. Y., Zhang, S., Cai, M., & Huang, J. X. (2011). A new manufacturing resource allocation method for supply chain optimization using extended genetic algorithm. The International Journal of Advanced Manufacturing Technology, 53(53), 1247–1260.CrossRef

Zhang, W. Y., Zhang, S., Guo, S. S., Yang, Y. S., & Chen, Y. (2016c). Concurrent optimal allocation of distributed manufacturing resources using extended teaching-learning-based optimization. International Journal of Production Research, 55, 1–18.

Zhou, Y. Q., Wang, R., & Luo, Q. F. (2016). Elite opposition-based flower pollination algorithm. Neurocomputing, 188, 294–310.CrossRef

Title: A new fuzzy QoS-aware manufacture service composition method using extended flower pollination algorithm
Authors: Shuai Zhang
Yangbing Xu
Wenyu Zhang
Dejian Yu
Publication date: 04-11-2017
Publisher: Springer US
Published in: Journal of Intelligent Manufacturing / Issue 5/2019
Print ISSN: 0956-5515
Electronic ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-017-1372-9

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Other articles of this Issue 5/2019

Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm

A Cloud-based solution/reference architecture for establishing collaborative networked organizations

Comparative analysis of different digitization systems and selection of best alternative

Fault diagnosis strategy of CNC machine tools based on cascading failure

Multi-objective optimization of abrasive waterjet machining process using Jaya algorithm and PROMETHEE Method

User selection for collaboration in product development based on QFD and DEA approach

Premium Partners