An Integrated Supply Chain Management to Manufacturing Industries
Commenced in January 2007
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Edition: International
Paper Count: 33122
An Integrated Supply Chain Management to Manufacturing Industries

Authors: Kittipong Tissayakorn, Fumio Akagi, Yu Song

Abstract:

Manufacturers have been exploring innovative strategies to achieve and sustain competitive advantages as they face a new era of intensive global competition. Such strategy is known as Supply Chain Management (SCM), which has gained a tremendous amount of attention from both researchers and practitioners over the last decade. Supply chain management (SCM) is considered as the most popular operating strategy for improving organizational competitiveness in the twenty-first century. It has attracted a lot of attention recently due to its role involving all of the activities in industrial organizations, ranging from raw material procurement to final product delivery to customers. Well-designed supply chain systems can substantially improve efficiency and product quality, and eventually enhance customer satisfaction and profitability. In this paper, a manufacturing engineering perspective on supply chain integration is presented. Research issues discussed include the product and process design for the supply chain, design evaluation of manufacturing in the supply chain, agent-based techniques for supply chain integration, intelligent information for sharing across the supply chain, and a development of standards for product, process, and production data exchange to facilitate electronic commerce. The objective is to provide guidelines and references for manufacturing engineers and researchers interested in supply chain integration.

Keywords: Supply Chain, Supply Chain Management, Supply Chain Integration, Manufacturing Industries.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1089537

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References:


[1] Beamon, B. M., "Supply Chain Design and Analysis: Models and Methods”, International Journal of Production Economics, Vol. 55, 281- 294, 1998.
[2] Zhang H., "Utilizing Supply Chain Management to Promote Enterprise Competency”. Market Modernization, Vol. 7, pp. 95- 96, 2008.
[3] Cohen, M. A., and Huchzermeier, A., "Global Supply Chain Management: A Survey of Research and Applications, Quantitative models for Supply Chain Management”. Article, 1998.
[4] Ganeshan, R., Stephens, P., Jack, E., and Magazine, M., "A Taxonomic Review of Supply Chain Management Research, Quantitative models for Supply Chain Management”, The Netherlands: Kluwer Academic Publishers, pp. 839 – 879, 1999.
[5] Bhatnagar, R., Chandra, P. and Goyal, S. K., "Models for Multi-Plant Coordination”, European Journal of Operation Research, Vol. 67, pp. 141 – 160, 1993.
[6] Kouvelis, P., and Gutierrea, G., "The Newsvendor Problem in a Global Market: Optimal Centralized Control Policies for a Two-Market Stochastic Inventory System”, Management Science, Vol. 43, No. 5, pp. 571 – 585, 1997.
[7] Sui Y., "Logistics Management Innovation ender the Environment of the Supply Chain Management”. Pioneering with Science & Technology Monthly, Vol. 3, pp. 52 – 53, 2008.
[8] Luo M., Ma W., "Analysis on SCMIS Structure Oriented Equipment Manufacturing Industry”. Logistics Technology, Vol. 2, pp. 108 – 110, 2008.
[9] Newhart, D. D., Stoott, K. L., and Vasko, F.J., "Consolidating Product Sizes to Minimize Inventory Levels for a Multi-stage Production and Distribution System”, Journal of the Operational Research Society, Vol. 44, No. 7, pp. 637 – 644, 1993.
[10] Ishii, K., Takahashi, K., Muramatsu, R., "Integrated Production, Inventory and Distribution Systems”, International Journal of Production Research, Vol. 26, No.3, pp. 474 – 482, 1988.
[11] Slats, P. A., Bhola, B., Evers, J. J. M., and Dijkhuizen, G., "Logistic Chain Modeling”, European Journal of Operational Research, Vol. 87, pp. 1 – 20, 1995.
[12] Parunak, V., and Vanderbok, R., "Modeling the Extended Supply Network”, Industrial Technology Institute, working paper, 1998.
[13] Sarri, D. G., "A Chaotic Exploration of Aggregation Paradoxes”, SIAM Review, No. 1, pp. 37 – 52, 1995.
[14] Lee, H. L., Padmanabhan, V., and Whang, S., "Information Distortion in a Supply Chain: The Bullwhip Effect”, Management Science, Vol. 43, No. 4, pp. 546 – 558, 1997.
[15] Holmstrom, J., Hameri, A. P., Nielsen, N. H., Pankakoshi, J. and Slotte, J., "Example of Production Dynamics Control for Cost Efficiency”, International Journal of Production Economics, Vol. 48, pp. 109 – 119, 1997.
[16] Calza, F., and Passaro, R., "Case Study: EDI Network and Logistics Management at Unilever-Sagit”, Supply Chain Management, Vol. 2, pp. 150 – 170, 1997.