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Journal Cover Engineering Management Reviews
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  This is an Open Access Journal Open Access journal
   ISSN (Print) 2326-5876 - ISSN (Online) 2326-5884
   Published by Science and Eng Pub Co. Homepage  [48 journals]
  • Claim Management-Impact Cost Calculation Methods in Project Management

    • Abstract: Claim Management-Impact Cost Calculation Methods in Project Management
      Pages 27-34
      Author Nathalie PerrierRobert PellerinRémi Trudea
      The context of engineering projects is particularly favorable to the constant appearance of engineering changes, contractual modifications, and deviations from the initial plan. These elements are potential causes for claims. In this paper, we investigate one of the critical components of the claim management process: the calculation of the impacts of changes in the duration of the contract and losses of productivity due to changes in work, delays, and acceleration. More specifically, we present a description of the methods that have been developed over the years for the quantification of impact costs. We identify the limitations of the methods and propose some promising directions for research in claim management.
      PubDate: 2017-06
       
  • Research on Risk Sharing of PPP Project in Characteristic Town Based on F
           - ANP Model

    • Abstract: Research on Risk Sharing of PPP Project in Characteristic Town Based on F - ANP Model
      Pages 16-26
      Author Yifei LaiJitao ZhaoLiping She
      In this paper, the WBS-RBS method is used to identify the risk factors of the project, and the corresponding risk factor system is constructed from the perspective of the risk sharing of the PPP project in the characteristic town. Secondly, the 1-9 scale and the triangular fuzzy number are combined to construct the risk sharing model of the PPP project to determine the proportion of the risk sharing shared by the government, the project company and the financial institution. Finally, an example is given to demonstrate the feasibility of the model, which enriches the risk management theory of the project and allows the project participants to control the risk better.
      PubDate: 2017-06
       
  • Application of Topic-based Real-time Message Bus Technology in Engineering
           Management of High-speed Rails

    • Abstract: Application of Topic-based Real-time Message Bus Technology in Engineering Management of High-speed Rails
      Pages 1-5
      Author Zhiyong WenGuoliang HuShaohua LiuYongni L
      This paper introduces a design and implementation of distributed real-time message bus technology in engineering management of high-speed rails and trains. It illustrates the distributed self-organized architecture, message detection & filtering, topic-based message subscription and distribution of messaging bus. Besides, the application is verified according to practical needs of a high-speed rail constructor. The practices prove that such messaging bus may process messages of mass production reliably on a real-time basis in an intelligent production management system of workshops in manufacturing high-speed trains, and its application may be promoted in intelligent management systems of other manufacturing industries.
      PubDate: 2017-06
       
  • Adoption of Social Rules in Teams of Different Sizes

    • Abstract: Adoption of Social Rules in Teams of Different Sizes
      Pages 6-15
      Author Hao JiYan Ji
      Organizational structuring has been an important subject in the fields of organization science and engineering management. Due to the highly complex task environment and inherently sophisticated structure of organizations, it is often difficult to observe details of how an organization’s structure affects its performance. In computational studies of self-organizing systems, however, agents self-organize through a set of predefined rules for dealing with the dynamic changing environment and tasks. This offers a unique approach to gain insights on why and how structures evolve over time and how structuring impacts team performance under what conditions. In this paper, a computer simulation based study is carried out to explore the impact of social rules on the performance of self-organizing teams with various team sizes. The results have shown that stronger structuring favors team effectiveness in general for both small and large team sizes, while team efficiency under strong structuring peaks at a given team size and then decline with the increase of team size.
      PubDate: 2017-06
       
 
 
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