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Optimization Design Strategies and Methods of Service Granularity

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Proceedings of the Eighth International Conference on Management Science and Engineering Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 281))

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Abstract

Service granularity design considers the complexity of the combination of services, the degree of service reuse, service portfolio to the needs of the business performance as well as the frequent change of adaptability. This paper researches into the relationship between elements of services, establishes the weighted directed graph to describe the logic of these relationships. Following this, this paper discusses the strategies of service granularity design with comprehensive considerations of coupling degree and cohesive degree. A mathematical model which maximize the coupling degree and minimize the cohesive degree is set up. Then this paper designs multi-objective particle swarm optimization to solve this problem. The approach is applied to a real realistic corporation to illustrate the effectiveness of the proposed model and algorithm.

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Author information

Authors and Affiliations

  1. Business School, Sichuan University, Chengdu, 610064, People’s Republic of China

    Pingping Wang & Zongmin Li

Authors
  1. Pingping Wang
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  2. Zongmin Li
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Corresponding author

Correspondence to Pingping Wang .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Jiuping Xu

  2. Depart de Enge Mecânica e Industrial, Faculdade de Ciências e Tecnologia - Universidade Nova de Lisboa (FCT/UNL), Caparica, Portugal

    Virgílio António Cruz-Machado

  3. LeBow College of Business Department of Decision Sciences, Drexel University, Philadelphia, Pennsylvania, USA

    Benjamin Lev

  4. Institute of Operations Research, Karlsruhe Institute ofTechnology (KIT), Karlsruhe, Germany

    Stefan Nickel

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© 2014 Springer-Verlag Berlin Heidelberg

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Wang, P., Li, Z. (2014). Optimization Design Strategies and Methods of Service Granularity. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55122-2_124

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  • DOI: https://doi.org/10.1007/978-3-642-55122-2_124

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55121-5

  • Online ISBN: 978-3-642-55122-2

  • eBook Packages: EngineeringEngineering (R0)

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