Object-oriented Design Framework for Stock Keeping Unit Generating System

Authors

  • Khabbazi M. R. Department of Industrial Computing, FTSM, University Kebangsaan Malaysia, Bangi, Malaysia
  • Shapi'i A. Department of Industrial Computing, Facluty of Information Science and Technology, University Kebangsaan Malaysia
  • Hasan M. K. Department of Industrial Computing, FTSM, University Kebangsaan Malaysia, Bangi, Malaysia
  • Sulaiman R. Institute of Visual Informatics, FTSM, University Kebangsaan Malaysia, Bangi, Malaysia
  • Eskandari A. Graduate School of Business, University Kebangsaan Malaysia, Bangi, Malaysia
  • Taei-Zadeh A. Department of Industrial Computing, FTSM, University Kebangsaan Malaysia, Bangi, Malaysia

DOI:

https://doi.org/10.11113/jt.v63.1360

Keywords:

Inventory management, object oriented, stock keeping unit, UML

Abstract

This paper proposes an object-oriented design for generating Stock Keeping Unit coding system. Through recognition and analysis of the inventory item particulars and conceptualizing the important classes as one package, the framework is developed in a modular-basis able to be integrated with other parts of the system. Using UML class and package diagram as of the best practice in object-oriented, conducting the analysis and design is elaborately discussed. A prototype implementation is carried out to support the designed framework over its applicability at a modular information system. Moreover, the item particular package with unique and organized SKU numbering system efficiently supports the fundamental need of item identification at inventory control operations and classification and guarantees different types of reports and lookups.


References

Lee, H. T. and J. C. Wu. 2006. A study on Inventory Replenishment Policies in a Two-Echelon Supply Chain System. Computers & Industrial Engineering. 51: 257–263.

Sana, S. S. 2012. A collaborating Inventory Model in a Supply Chain. Economic Modelling. 29: 2016–2023.

Kampen, T. J. v., R. Akkerman and D. P. v. Donk. 2012. SKU Classification: A Literature Review and Conceptual Framework. International Journal of Operations & Production Management. 32(7): 850–876.

GS1a. 2012. (December). GS1 - The global language of Business. Available: http://www.gs1.org/.

Kärkkäinen, M. and T. Ala-Risku. 2003. Automatic Identification - Applications and Technologies. Logistics Research Network (LRN): 8th Annual Conference. London, UK.

Hong-ying, S. 2009. The Application of Barcode Technology in Logistics and Warehouse Management. ETCS' 09, First International Workshop on Education Technology and Computer Science. Wuhan, Hubei, IEEE. 732– 735.

Er, Z., F. Y. Lian and J. G. Lian. 2008. An RFID-based Automatic Identification System on Modern Grain Logistics. ICMCEG - International Conference on Management of e-Commerce and e-Government IEEE Computer Society. 10–13.

Sahin, E., Y. Dallery and S. Gershwn. 2002. Performance Evaluation of Traceability System: An Application of the Radio Frequency Identification Technology. IEEE International conference on Systems, Man and Cybernetics. Ecole Centrale de Paris, France, IEEE.

Wang, K., Y. Zou and H. Wang. 2005. Barcode Reading from Images Captured by Camera Phones. 2nd International Conference on Applications and Systems. Guangzhou IEEE. 6.

Angeles, R. 2009. Anticipated IT Infrastructure and Supply Chain Integration Capabilities for RFID and Their Associated Deployment Outcomes. International Journal of Information Management. 29(3): 219–231.

Ngai, E. W. T., K. K. L. Moon, F. J. Riggins and C. Y. Yi. 2008. RFID Research: An Academic Literature Review (1995-2005) and Future Research Directions. International Journal of Production Economics. 112(2): 510–520.

McFarlane, D. and Y. Sheffi. 2002. The Impact of Automatic Identification on Supply Chain Operations. The International Journal of Logistics Management. 14(1): 1–17.

Vries, J. d. 2007. Diagnosing Inventory Management Systems: An Empirical Evaluation of a Conceptual Approach. International Journal of Production Economics. 108: 63–73.

Bacchetti, A., F.Plebani, N.Saccani and A.A.Syntetos. 2012. Empirically-Driven Hierarchical Classification of Stock Keeping Units. International Journal of Production Economics. Available online - In Press.

Heinecke, G., A.A.Syntetos and W.Wangd. 2011. Forecasting-based SKU classification. International Journal of Production Economics. Available online - In press.

Yu, M.-C. 2011. Multi-criteria ABC analysis Using Artificial-intelligence-based Classification Techniques. Expert System with Applications. 38: 3416–3421.

Chandra, C. and S. Kumar. 2001. Taxonomy of Inventory Policies for Supply-chain Effectiveness. International Journal of Retails and Distribution Management. 29(4): 164–175.

Byrne, B. 2007. Finally, a Strategic Way to Cut Unnecessary SKUs. Strategy & Leadership. 35(1): 30–35.

Shapiro, J. F. and S. N. Wagner. 2009. Strategic Inventory Optimization. Journal of Business Logistics 30(2): 161–173.

Rezaei, J. and S. Dowlatshahi. 2010. A Rule-based Multi-criteria Approach to Inventory Classification. International Journal of Production Research. 48(23): 7107–7126.

GS1b. 2012. (December). Global Procut Code standards. Available: http://www.gs1.org/gsmp/kc/gpc.

Khabbazi, M. R., M. Y. Ismail, N. Ismail, S. A. Mousavi and H. S. Mirsanei. 2011. Lot-base Traceability Requirements and Functionality Evaluation for Small- To Medium-Sized Enterprises. International Journal of Production Research. 49(3): 731–746.

Khabbazi, M. R., M. K. Hasan, R. Sulaiman and S. A. Mousavi. 2010. Extending Quality Data for Lot-Based Traceability System in SME. Information Technology (ITSim), 2010 International Symposium in. Kuala Lumpur, Malaysia, IEEE. 1158–1163.

Downloads

Published

2013-07-11

Issue

Section

Science and Engineering

How to Cite

Object-oriented Design Framework for Stock Keeping Unit Generating System. (2013). Jurnal Teknologi (Sciences & Engineering), 63(1). https://doi.org/10.11113/jt.v63.1360