Journal of Supply Chain Management Systems

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Analysing Supply Chain Strategy Using Case-Based Reasoning


Affiliations
1 Suresh Gyan Vihar University, Rajasthan, India
2 Devraj Groups Technical Campus, Punjab, India
     

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The supply chain is one of the emerging fields of the business activities. The supply chain strategy has a great impact on the performance of supply chain process. The phenomenon of analysing supply chain strategy is critical task which pay attention to various supply chain performance evaluation factors. The case-based reasoning supports lazy learning through exploitation of past problems solution's in solving original complication.

In this paper, the case-based supply chain strategy analysis model is being proposed which generates the cases oriented on various factors involved in supply chain process performance evaluation. It is designed in Java language having platformindependent, secure, robust, object-oriented features. Various similarity functions are implemented to find the similar cases from the case base. This model computes performance of the strategy of the supply chain management system.


Keywords

Supply Chain Management System, Supply Chain Strategy, Case-Based Reasoning, Similarity Functions and Strategy Analysis
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  • Aamodt, A. & Plaza, E. (1994). Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. 7(1), (pp. 39-59). AI Communications,

  • Armin, S. (2006). Optimizing Similarity Assessment in Case-Based Reasoning, Proceeding of the 21st National Conference on Artifi cial Intelligence, 2, pp. 1667-1670.

  • Bozarth, C. C. & Handfi eld, R. B. (2008). Introduction to Operations and Supply Chain Management, (2nd ed.). U.S.A.: Pearson Education Inc.

  • Chan, F. T. S. (2002). Comparative Evaluation of Supply Chain Management Strategies: A Simulation Approach. Proceeding of Seventh International Conference on Control, Antamation, Robties and Vision (ICARCV’OZ), (pp. 78-83). Singapore.

  • Douglas, L. (2001). Supply Chain Metrics. International Journal of Logistics Management, 12(1), pp. 1-19.

  • Jin, L. (2010). Risk Evaluation of Military Supply Chains Based on Case and Fuzzy Reasoning. Proceeding of International Conference on Logistics Systems and Intelligent Management, (pp. 102 – 104). Harbin.

  • Johnson, P. (1995). Supply Chain Management: The Past, the Present and the Future. Manufacturing Engineer, 74(5), pp. 213-217.

  • Keramati, A. (2011). Supply Chain Integration: Modelling Approach, Proceeding of European, Mediterranean & Middle Eastern Conference on Information Systems (EMCIS2011), pp. 75-85. Athens, Greece.

  • Mukhtar, M. (2009). A Framework for Analyzing E-Supply Chains. European Journal of Scientifi c Research, 25(4), pp. 649-662.

  • Simchi, L. D. & Kaminsky, P. (2008). Designing and Managing the Supply Chain, (3rd ed). India: Tata McGraw-Hill Edition.

  • Sahay, B. S. & Gupta, A. K.(2007). Supply Chain Modeling and Solutions, (1st ed.). New Delhi: Macmillilan India Ltd.

  • Schnetzler, M. (2004). Supply Chain Strategies for Business Success, Proceedings of the International IMS Forum 2004 Global Challenges in Manufacturing, (pp. 691-698.) Cernobbio, Italy.

  • Sebestyenova, J. (2007). Case-Based Reasoning in Agent-Based Decision Support System, ActaPolytechnicaHungarica, 4(1), pp. 127-138.

  • Udin, Z. (2008). Collaborative Supply Chain Management: The Hybrid Knowledge-Based Development Approach of Suppliers-Customers Perspective Operations and Supply Chain Management, 1(2), pp. 130-141.

  • Wang, C. (2007). A Conceptual Case Based Model Supporting ASME’S Strategic Supply Chain Decision. Proceeding of IET International Conference on Agile Manufacturing, ICAM 2007, pp. 189-196.

  • Xia, L. (2008). Supplier Performance Measurement in a Supply Chain, Proceeding of The IEEE International Conference on Industrial Informatics (INDIN 2008) DCC, (pp. 877-881). Daejeon, Korea.

  • Yuhua, H. (2011). The Study on the Strengthening Strategy of the Stability of Pear Supply Chain, Proceeding of 8th International Conference on Service Systems and Service Management (ICSSSM), (pp. 1 – 4). Tianjin.

  • Zarandi, Md. (2002). Supply Chain: Crisp and Fuzzy Aspects. International Journal of Applied Mathematics and Computer Science, 12(3), pp. 423-435.


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  • Analysing Supply Chain Strategy Using Case-Based Reasoning

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Authors

Surjeet Dalal
Suresh Gyan Vihar University, Rajasthan, India
Vijay Athavale
Devraj Groups Technical Campus, Punjab, India

Abstract


The supply chain is one of the emerging fields of the business activities. The supply chain strategy has a great impact on the performance of supply chain process. The phenomenon of analysing supply chain strategy is critical task which pay attention to various supply chain performance evaluation factors. The case-based reasoning supports lazy learning through exploitation of past problems solution's in solving original complication.

In this paper, the case-based supply chain strategy analysis model is being proposed which generates the cases oriented on various factors involved in supply chain process performance evaluation. It is designed in Java language having platformindependent, secure, robust, object-oriented features. Various similarity functions are implemented to find the similar cases from the case base. This model computes performance of the strategy of the supply chain management system.


Keywords


Supply Chain Management System, Supply Chain Strategy, Case-Based Reasoning, Similarity Functions and Strategy Analysis

References