While centralized supply chain configuration (SCC) adopts an integrated decision model solved by an all-in-one decision method, decentralized SCC normally allows constituent enterprises to employ distributed decision models which are coordinated through a decomposition method to achieve an overall solution. Decentralized SCC paradigm could offer various contemporary advantages such as individual suppliers’ decision right protection and overall decision efficiency enhancement. This paper proposes an optimization system, atcPortal, to practically enable such a decentralized SCC process. Individual suppliers convert their local decision support systems into decision web services to form a distributed open-standard SCC service platform, called supply chain grid (SCG) in this paper. As a decomposition-based optimization method, analytical target cascading (ATC) is the mechanism for atcPortal to coordinate these web services through three phases of service searching, service-based ATC problem definition, and service-oriented ATC execution. atcPortal is a generic and extensible web portal in the sense that ATC accommodates a variety of decentralized SCC decision structures without confining the local decision models of individual enterprises. Finally, the usage of atcPortal is demonstrated through a typical decentralized SCC problem.
"In addition, they reported a case study in which a PSS approach has been developed for a B2B, as well as a business-tocustomer , scenario, in order to establish and then grow a market for an innovative method to treat brain tumours and neurodegenerative diseases. Qu et al. (2009a, 2009b, 2010, 2011) proposed an analytical target vascading (ATC)-based distributed configuration system, atcPortal, for production service system configuration (PnSSC). Each service provider modelled their production capabilities as a web service hosted at local end while published at atcPortal, while the embedded ATC mechanism would coordinate all the related services to formulate the optimal PnSSC for a given customer order. "
[Show abstract][Hide abstract] ABSTRACT: In order to analyse product–service performance (PSP) during product–service systems' (PSSs) running time, a PSP evaluation method is proposed. Interrelationship between a PSS's provider and accepter is defined as product–service relationship (PSR). Concepts of product–service network and product–service chain are put forward to describe interrelationship among PSRs from different perspectives. The concept of PSP is proposed to evaluate interrelationship among PSR. Detailed evaluation indexes are designed to measure the five factors of PSP, including time, quality, cost, stability and reliability. A case study is provided to test the validity and efficiency of the evaluation model of PSP. The analysis results show that the evaluation model can make good efforts in benefiting product–service platform's running, monitoring and optimising.
International Journal of Computer Integrated Manufacturing 02/2012; 25:150-157. DOI:10.1080/0951192X.2011.627946 · 1.01 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: An approximate but accurate analytical model has been developed for predicting the coupling characteristics of both symmetrical and nonsymmetrical dielectric couplers of rectangular cross section. The coupling is shown to depend on the field decay coefficient, guide spacing, and cross-sectiomal dimensions. Comparisons between experimental and theoretical results are presented.
[Show abstract][Hide abstract] ABSTRACT: This paper proposes to apply analytical target cascading (ATC) for configuring assembly supply chains with convergent structures. Individual enterprises in a supply chain are represented as separate elements in an ATC hierarchy. They are able to maintain autonomous and heterogeneous decision systems for optimizing their private decision variables and objectives. They collaborate vertically and laterally along the ATC hierarchy through their common decisions to achieve the overall consistency and optimality. ATC offers a competitive balance between computational efficiency and effectiveness while providing an opportunity for parallel computation to further improve the efficiency. This paper also investigates the feasibility for individual enterprises to set local targets while participating in the supply chain configuration (SCC). SCC usually involves discrete decision variables, causing significant difficulties for existing ATC techniques to achieve system consistency. Therefore, a new consistency scheme has to be proposed in this paper, including two techniques: importance weighting factor (IWF) and dynamic constraints (DC). A case study is used to demonstrate the application of the ATC method for solving typical SCC problems. A series of comparative analyses are conducted to identify the strengths of the ATC method and demonstrate the effectiveness of the proposed consistency scheme.
International Journal of Production Research 12/2010; 48(23). DOI:10.1080/00207540903307631 · 1.48 Impact Factor
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