An Automated Supply Chain Management System and Its Performance Evaluation

The MIDAS system is an automated supply chain management system that enables customers, manufacturers, and suppliers to cooperate over the Internet. MIDAS aims to achieve high customer satisfaction by supporting the build-to-order customization model and to reduce inventory carrying costs and logistics administration costs at the manufacturer by supporting the just-in-time manufacturing model. It allows a manufacturer to choose from the MIDAS Registry, suppliers of components, and negotiate based on the prices, availability, and delivery times of those components. The manufacturer can use one of several strategies to aggregate customers’ orders before processing them, and one of several strategies to accumulate suppliers’ quotes before deciding on a particular supplier. The paper presents an evaluation of these strategies in terms of the customer’s satisfaction, as measured by the customer response time, and the manufacturer’s gain, as measured by the number of orders aggregated or the best price ratio.

[1]  Leon Jololian,et al.  Internet enterprise engineering. A "zero-time" framework based on "T-strategy" , 2001, Proceedings. IEEE SoutheastCon 2001 (Cat. No.01CH37208).

[2]  Li Li,et al.  Supply chain protocolling , 2005, Seventh IEEE International Conference on E-Commerce Technology (CEC'05).

[3]  Jairo R. Montoya-Torres,et al.  Analyzing the Impact of Coordinated Decisions within a Three-Echelon Supply Chain , 2009, Int. J. Inf. Syst. Supply Chain Manag..

[4]  Terence A. Oliva,et al.  The Role of the Internet in Supply Chain Management , 2000 .

[5]  K. Saban,et al.  The Role of Human Collaboration in Supply Chain Management , 2012 .

[6]  Rainer Kolisch,et al.  Integration of assembly and fabrication for make-to-order production , 2000 .

[7]  Yang Jin.  Study on Postponement in Customization Supply Chain , 2005 .

[8]  C. Forza,et al.  Managing for variety in the order acquisition and fulfilment process: The contribution of product configuration systems , 2002 .

[9]  Ephrem Eyob,et al.  Customer-Oriented Global Supply Chains: Concepts for Effective Management , 2012 .

[10]  Riccardo Minciardi,et al.  Modelling and optimization of multi-site production systems in supply chain networks , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[11]  Jin Yi-hui.  Optimized coordination of supply chain based on dependency , 2004 .

[12]  Wang Li-ping,et al.  Relationships of Electronic Marketplace and Partner Selection of Supply Chain , 2004 .

[13]  A. M. Rawani,et al.  Quality function deployment: a comprehensive literature review , 2008, Int. J. Data Anal. Tech. Strateg..

[14]  Zhou Xiao,et al.  The Strategy of Mass Customization and the Countermeasure of Chinese Enterprises , 2003 .

[15]  Jun Hu,et al.  Research of Supply Quality Control and Optimization Under Multi-Period Dynamic Game , 2011, Int. J. Appl. Logist..

[16]  A. Gunasekaran,et al.  Build‐to‐order supply chain management: a literature review and framework for development , 2005 .

[17]  Fredj Jawadi,et al.  Can Information and Communication Technologies Improve the Performance of Microfinance Programs?: Further Evidence from Developing and Emerging Financial Markets , 2011 .

[18]  Alejandra Gomez-Padilla.  Supply Chain Coordination by Contracts with Inventory Holding Cost Share , 2009, Int. J. Inf. Syst. Supply Chain Manag..

[19]  G. Graham,et al.  Supply‐chain management across the Internet , 2000 .

[20]  Jairo R. Montoya-Torres.  Decision-Making Coordination within Three-Echelon Supply Chains , 2011 .

[21]  Yair Levy,et al.  A Value-Satisfaction Taxonomy of IS Effectiveness (VSTISE): A Case Study of User Satisfaction with IS and User-Perceived Value of IS , 2009, Int. J. Inf. Syst. Serv. Sect..

[22]  John Wang.  Supply Chain Optimization, Management and Integration: Emerging Applications , 2010 .

[23]  Louise E. Moser,et al.  A Reservation-based Extended Transaction Protocol for Coordination of Web Services , 2008, Int. J. Web Serv. Res..

[24]  Jinho Kim,et al.  An object‐oriented approach for building a flexible supply chain model , 2005 .

[25]  Li Yuan.  Flexible Supply Chain Optimization and Its SRT Analysis , 2005 .

[26]  Dong Li,et al.  Integrated decision modelling of supply chain efficiency , 1999 .

[27]  Manoochehr Ghiassi,et al.  Defining the Internet-based supply chain system for mass customized markets , 2003, Comput. Ind. Eng..

[28]  Jairo R. Montoya-Torres,et al.  Measuring the Impact of Supplier-Customer Information Sharing on Production Scheduling , 2009, Int. J. Inf. Syst. Supply Chain Manag..