Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.


Contact Us >>

WhatsApp  +86 18163351462(WhatsApp)
Paper Publishing WeChat
Book Publishing WeChat
(or Email:book@scirp.org)

Article citations


M. Rabe, F. W. Jaekel and H. Weinaug, “Supply Chain Demonstrator Based on Federated Models and HLA Application,” SCS Publishing House, Berlin, 2006.

has been cited by the following article:

  • TITLE: Performance Evaluation for Pull-Type Supply Chains Using an Agent-Based Approach

    AUTHORS: Tzu-Liang Tseng, Roger R. Gung, Chun-Che Huang

    KEYWORDS: Supply Chain Management; Pull Type; Supply Chain Model; Make-to-Plan; Agent Technology; Simulation

    JOURNAL NAME: American Journal of Industrial and Business Management, Vol.3 No.1, January 17, 2013

    ABSTRACT: The business world changes rapidly and customers’ demands are more varied than before, traditional push system which takes actions based on anticipated requirements and uses forecast to determine the manufacturing quantity is no longer effective enough for modeling market volatility. Therefore, the pull strategy, which is demand oriented, flexible and generates cost savings, is becoming more popular and prominent. The pull type supply chain management is also applied broadly in the high-tech industry where the market volatility is a very unique characteristic. In SCM, nonstructured oral communications make information sharing difficult and inefficient in a distributed environment. To solve this problem, Agent Technology (AT) is applied. AT in Business Intelligence (BI) has been proven that it is good tool in solving communication problems in distributed environments. This research focuses on the application of the make-to-plan (MTP) supply chain strategy and AT based technique. A case study of simulation of the MTP-based pull type supply chain is presented. Impacts of operator parameters, e.g., manufacturing throughput, forecast accuracy, and inventory on performance of the pull type control strategies are discussed in this study.