research-article

A knowledge based approach for handling supply chain risk management

Authors:

Adrian Solomon,

Panayiotis Ketikidis,

Alok ChoudharyAuthors Info & Claims

BCI '12: Proceedings of the Fifth Balkan Conference in Informatics

Pages 70 - 75

https://doi.org/10.1145/2371316.2371330

Published: 16 September 2012 Publication History

Abstract

This paper discusses the concept of supply chain risk management (SCRM) in relation to the emerging challenges brought by globalisation and information and communication technologies (ICT) and the ability of SCRM frameworks to adapt to these latest requirements. As SCRM can be responsible for loss or gain of profit, the ultimate goal of enterprises is to have resilient supply chains with automated decision making that can deal with potential disruptions. In response to these, taking advantage of ICT developments such as knowledge and data discovery techniques and automated risk management frameworks have become a vital aspect for assuring business success. Having this context, this research has the following aims: 1) to perform literature review on identifying and categorising several types of supply chain risks in order to analyze their management strategies, 2) to perform a literature review on knowledge management frameworks and 3) to propose a knowledge management and a risk management framework that would be, at a further stage of this research, integrated in an agent based decision support system for supply chain risk management.

References

[1]

Bode, C. and Wagner, S. M. 2006. An empirical investigation into supply chain vulnerability. Journal of Purchasing & Supply Management, 12 (6), 301--312.

[2]

Chen, M. S., Han, J. and Yu, P. S. 1996. Data Mining: an Overview from a Database Perspective. Natural Sciences and Engineering Research Council, Canada.

[3]

Childerhouse P., Ramzi H., Mason-Jones R., Andrew, P. and Denis, R. T. 2003. Information Flow in Automotive Supply Chains: Present Industrial Practice. Industrial Management & Data Systems, 103 (3), 137--149.

[4]

Christopher, M. and Peck, H. 2004. Building the resilient Supply Chain. International Journal of Logistics Management, 15 (2), 1--13.

[5]

Cigolini, R and Rossi, T. 2010. Managing operational risks along the oil supply chain. Production Planning & Control 21, 5, (Jul. 2010), 452--467.

[6]

Cios, K. J., Teresinska, A., Konieczna, S., Potocka, J., Sharma, S. 2000. Diagnosing Myocardial Perfusion from PECT Bull's-eye Maps - A Knowledge Discover Approach, IEEE Engineering in Medicine and Biology Magazine, Special issue on Medical Data Mining and Knowledge Discovery, 19(4), 17--25.

[7]

Colicchia, C., Dallari, F. and Melacini, M. 2010. Increasing supply chain resilience in a global sourcing context. Production Planning & Control 21, 7 (Oct. 2010), 680--694.

[8]

Faisal, M. N., Banwet, D. K. and Shankar, R. 2006. Supply Chain Risk Mitigation: Modelling the Enablers. Business Process Management Journal, 12(4), 535--552.

[9]

Fayyad, U. M., Piatesky-Shapiro, G., Smyth, P., and Uthurusamy, R. 1996. Advances in Knowledge Discovery and Data Mining, AAAi/MIT Press.

Digital Library

[10]

Fayyad, U., Piatetsky - Shapiro, G. and Smyth, P. 1996. The KDD Process for Extracting Useful Knowledge from Volumes of Data. Communications of the ACM 39, 11 (Nov. 1996), 27--34.

Digital Library

[11]

Freitas, A. 2000. A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery. Advances in Evolutionary Computing, Springer Verlag, New York.

Digital Library

[12]

Giannakis, M. and Louis, M. 2011. A multi-agent based framework for supply chain risk management. Journal of Purchasing & Supply Management, 17, 23--31.

[13]

Goebel, M. and Gruenwald, L. 1999. A survey of Data Mining and Knowledge Discovery Software Tools. SIGKDD Explorations 1, 1(Jun. 1999), 20--33.

Digital Library

[14]

Harland, C., Brenchley, R. and Walker, H. 2003. Risk in Supply Network. Journal of Purchasing and Supply Management, 9(2), 51--62.

[15]

Hult, G. T. M., Craighead, C. W. and Ketchen, D. J. 2010. Risk Uncertainty and Supply Chain Decisions: A Real Options Perspective. Decision Sciences Journal, 41(3), 435--458.

[16]

Juttner, U., Peck, H. and Christopher, M. 2003. Supply chain risk management: outlining an agenda for future research. Int. J. Log. Res. Appli., 6, 197--20.

[17]

Kumar, S. S. 2009. Risk Management in Supply Chains. Advances In Management 2, 11 (Nov. 2009), 36--39.

[18]

Kumar, S. K., Tiwari, M. K, and Babiceanu, R. F. 2010. Minimisation of supply chain cost with embedded risk using computational intelligence approaches. International Journal of Production Research 48, 13 (Jul. 2010), 3717--3739.

[19]

Lassar, W., Haar, J., Montalvo, R. and Hulser, L. 2010. Determinantes del manejo de riesgo estratégico en las cadenas de suministro en mercados emergentes: el caso de México. Journal of Economics, Finance and Administrative Science 15, 28 (Jun. 2010), 125--140.

[20]

Lockamy, A and McCormack, K. 2010. Analysing risks in supply networks to facilitate outsourcing decisions. International Journal of Production Research 48, 2 (Jan, 2010), 593--611.

[21]

Mandal, S. 2011. Supply Chain Risk Identification and Elimination: A Theoretical Perspective. The IUP Journal of Supply Chain Management, 8(1), 68--86.

[22]

Mansour, E., Alhawari, S. and Talet, A. N. 2011. Development of Conceptual Framework for Knowledge Management Process. Journal of Modern Accounting and Auditing 7, 8 (Aug 2011), 864--877.

[23]

Nagurney, A. 2005. Supply chain networks, electronic commerce, and supply side and demand side risk. European Journal of Operational Research, 164 (1), 120--142.

[24]

Norrman, A. and Jansson, U. 2004. Ericsson's Proactive Supply Chain Risk Management Approach After a Serious Sub-Supplier Accident, International Journal of Physical Distribution & Logistics Management, 34(5), 434--456.

[25]

Paulsson, U. 2004. Supply Chain Risk Management, in Supply Chain Risk Management. C. Brindley. Ed. Ashgate, Aldershot, 79--96.

[26]

Piramuthu, S. 2005. Knowledge-based framework for automated dynamic supply chain configuration, European Journal of Operational Research, 165, 219--230.

[27]

Smith, G. E., Watson, K. J., Baker, W. H. and Pokorski, J. A. 2007. A critical balance: collaboration and security in the IT-enabled supply chain. International Journal of Production Research 45, 11 (Jun. 2007), 2595--2613.

[28]

Solomon, A., Ketikidis, P. H. and Choudhary, A. 2011. A Proposed Supply Chain Risk Management Framework. In the Proceedings of the 15th Panhellenic Logistics Conference, Thessaloniki, Greece.

[29]

Tang, C. S. 2006. Perspectives in Supply Chain Risk Management: A Review. International Journal of Production Economics, 103(2), 451--458.

[30]

Tapiero C. S. 2004. Risk measurement and supply chains. In: International Workshop on Performance and Risk Measurement, Milan, Italy, 113--129.

[31]

Treleven, S. and Schweikhart, B. 1988. A risk/benefit analysis of sourcing strategies: single vs.multiple sourcing. Journal of Operations Management, 7 (4), 93--114.

[32]

Villena, V. H., de Molina, M., Gomez-Mejia, L-R. and Revilla, E. 2009. The Decision of the Supply Chain Executive to Support or Impede Supply Chain Integration: A Multidisciplinary Behavioural Agency Perspective, Decision Sciences 40, 4 (Nov. 2009), 635--665.

[33]

Wu, T., Blackhurst, J., and Chidambaram, V. 2006. A model for inbound supply risk analysis. Computers in Industry, 57 (4), 350--365.

Digital Library

[34]

Zarandi, M H F and Zarandi, M M F. (2008). Fuzzy Multiple Agent Decision Support Systems for Supply Chain Management. In Supply Chain, Theory and Applications, Vedran Kordic. Eds. 558, I-Tech Austria.

[35]

Zsidisin, G. A. 2003. Managerial Perceptions of Supply Risk, Journal of Supply Chain Management, 39, 14--25.

[36]

Zsidisin, G., Melnyk, S., and Ragatz, G. 2005. An institutional theory perspective of business continuity planning for purchasing and supply management. International Journal of Production Research, 43 (16), 3401--20.

Cited By

Hamou KJarir ZQuafafou MElfirdoussi S(2024)Decision Support Systems Based on Artificial Intelligence for Supply Chain Management: A Literature ReviewAdvances in Intelligent System and Smart Technologies10.1007/978-3-031-47672-3_19(179-188)Online publication date: 27-Feb-2024
https://doi.org/10.1007/978-3-031-47672-3_19
Souto LBruno-Faria M(2022)Knowledge loss risk management in a Brazilian public company: the case of AMAZULKnowledge Management Research & Practice10.1080/14778238.2022.212584821:5(917-928)Online publication date: 11-Oct-2022
https://doi.org/10.1080/14778238.2022.2125848
Kara MFırat S(2018)Sustainability, Risk, and Business Intelligence in Supply ChainsGlobal Business Expansion10.4018/978-1-5225-5481-3.ch066(1424-1461)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5481-3.ch066
Show More Cited By

Index Terms

A knowledge based approach for handling supply chain risk management
1. Computing methodologies
  1. Machine learning
2. Information systems

Recommendations

Achieving Supply Chain Resilience through Supply Chain Risk Management and Supply Chain Partnership
ICCMB '22: Proceedings of the 2022 5th International Conference on Computers in Management and Business

Supply Chain Resilience (SCRs) is a set of adaptive capabilities that enables preparedness for unanticipated occurrences, reduces interruptions, and restores operations to a steady state by restoring operations to the expected degree of connection and ...
Integrated supply chain risk management capabilities and its impact on supply chain demand management - an empirical study

Supply chain risk management has drawn tremendous attention from academic researchers and practitioners in the recent period. Several attempts were made by the practitioners and academicians to understand supply chain risks and their sources. As the ...
Modeling enablers of supply chain risk mitigation in electronic supply chains

Constructed causaleffect diagrams among enablers of risk mitigation.Grey theory and DEMATEL have been employed to effectively quantify enablers.One enabler can be the cause/effect of one or more enablers.Steps for instigating causal enablers can in turn ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

BCI '12: Proceedings of the Fifth Balkan Conference in Informatics

September 2012

312 pages

ISBN:9781450312400

DOI:10.1145/2371316

General Chair:
Mirjana Ivanović
Univ. of Novi Sad, Serbia
,
Program Chair:
Zoran Budimac
Univ. of Novi Sad, Serbia

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

MSTD: Ministry of Education, Science and Technological Development - Serbia
Novi Sad: Faculty of Technical Sciences, University of Novi Sad

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 September 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

BCI '12

Sponsor:

MSTD
Novi Sad

BCI '12: Balkan Conference in Informatics, 2012

September 16 - 20, 2012

Novi Sad, Serbia

Acceptance Rates

Overall Acceptance Rate 97 of 250 submissions, 39%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
694
Total Downloads

Downloads (Last 12 months)11
Downloads (Last 6 weeks)0

Reflects downloads up to 17 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Hamou KJarir ZQuafafou MElfirdoussi S(2024)Decision Support Systems Based on Artificial Intelligence for Supply Chain Management: A Literature ReviewAdvances in Intelligent System and Smart Technologies10.1007/978-3-031-47672-3_19(179-188)Online publication date: 27-Feb-2024
https://doi.org/10.1007/978-3-031-47672-3_19
Souto LBruno-Faria M(2022)Knowledge loss risk management in a Brazilian public company: the case of AMAZULKnowledge Management Research & Practice10.1080/14778238.2022.212584821:5(917-928)Online publication date: 11-Oct-2022
https://doi.org/10.1080/14778238.2022.2125848
Kara MFırat S(2018)Sustainability, Risk, and Business Intelligence in Supply ChainsGlobal Business Expansion10.4018/978-1-5225-5481-3.ch066(1424-1461)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-5481-3.ch066
Kara MFırat S(2016)Sustainability, Risk, and Business Intelligence in Supply ChainsHandbook of Research on Green Economic Development Initiatives and Strategies10.4018/978-1-5225-0440-5.ch022(501-538)Online publication date: 2016
https://doi.org/10.4018/978-1-5225-0440-5.ch022
Choudhary DMadaan J(2016)Hierarchical Decision Modeling Approach for Risks Prioritization in Sustainable Supply ChainsManaging Humanitarian Logistics10.1007/978-81-322-2416-7_15(209-225)Online publication date: 2016
https://doi.org/10.1007/978-81-322-2416-7_15
Idries AMohamed N(2015)Towards risk knowledge management in unmanned aerial vehicles applications development2015 International Conference on Collaboration Technologies and Systems (CTS)10.1109/CTS.2015.7210433(264-271)Online publication date: Jun-2015
https://doi.org/10.1109/CTS.2015.7210433

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten