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Volumn 17, Issue 1 PART 1, 2008, Pages

A complexity model for networks of collaborating enterprises

Author keywords

Collaborative networked organizations principles; Methodologies and tools for analysis of complexity; Multi agent systems applied to industrial systems

Indexed keywords

COLLABORATIVE NETWORKED ORGANIZATIONS PRINCIPLES; COMPLEX ADAPTIVE SYSTEMS; COMPLEX SYSTEMS; COMPLEXITY MEASURES; DYNAMIC BEHAVIORS; LEVEL MODEL; METHODOLOGIES AND TOOLS FOR ANALYSIS OF COMPLEXITY; MULTI-AGENT SYSTEMS APPLIED TO INDUSTRIAL SYSTEMS; STOCHASTIC PROCESS; SUBMODELS; THEORETICAL STUDY;

EID: 79961018216     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20080706-5-KR-1001.1871     Document Type: Conference Paper
Times cited : (6)

References (17)
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  • 5
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    • Reinforcement learning in a distributed market-based production control system
    • Csáji, B. Cs., L. Monostori and B. Kádár (2006). Reinforcement learning in a distributed market-based production control system. Advanced Engineering Informatics 20, 279288.
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    • Csáji, B.Cs.1    Monostori, L.2    Kádár, B.3
  • 9
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    • The new dynamics of strategy: Sense-making in a complex and complicated world
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    • Kurtz, C.F.1    Snowden, D.J.2
  • 10
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    • 0038718854 scopus 로고    scopus 로고
    • The structure and function of complex networks
    • Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review 45(2), 167256.
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    • Newman, M.E.J.1
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  • 16
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    • Supply-chain networks: A complex adaptive systems perspective
    • DOI 10.1080/00207540500142274
    • Surana, A., S. Kumara, M. Greaves and U. N. Raghavan (2005). Supply-chain networks: A complex adaptive systems perspective. International Journal of Production Research 43(20), 42354265. (Pubitemid 43175233)
    • (2005) International Journal of Production Research , vol.43 , Issue.20 , pp. 4235-4265
    • Surana, A.1    Kumara, S.2    Greaves, M.3    Raghavan, U.N.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.