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Benefiting from the risk-pooling effect: internal (component commonality) vs. external (demand reshape) efforts

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  • Amit Eynan
  • Thierry Fouque

Abstract

Faced with uncertain demand for their products companies bear the associated burdens such as holding cost, spoilage and shrinkage for excess inventory and lost sales, expediting cost and shortage penalty upon stockouts. Consequently, much attention and effort are channelled toward the reduction of these costs. Component commonality promotes this endeavour by designing products to share some of their components. Consequently, the variability of demand for the components is reduced followed by a decrease in the management cost of materials. A recently introduced approach is demand reshape where firms attempt to influence some consumers to switch to a different product even though their original choice is available. Consequently, total variability of demand for the products is reduced as well as inventory management costs. As both approaches rely on the risk pooling effect to gain benefits, we explore the efficiencies of the two approaches; we compare performance and also investigate the potential benefits of employing both simultaneously.

Suggested Citation

  • Amit Eynan & Thierry Fouque, 2005. "Benefiting from the risk-pooling effect: internal (component commonality) vs. external (demand reshape) efforts," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 1(1), pages 90-99.
  • Handle: RePEc:ids:ijsoma:v:1:y:2005:i:1:p:90-99
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    Citations

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    Cited by:

    1. Blecker, Thorsten & Abdelkafi, Nizar, 2006. "Variety Management in Assemble-to-Order Supply Chains," MPRA Paper 5250, University Library of Munich, Germany.
    2. Hsun Chuan Cho & Ying Jiun Hsieh & Lan Ying Huang, 2018. "Capturing the Risk-Pooling Effect through Inventory Planning and Demand Switching," Sustainability, MDPI, vol. 10(11), pages 1-14, November.
    3. Hsieh, Ying-Jiun, 2011. "Demand switching criteria for multiple products: An inventory cost analysis," Omega, Elsevier, vol. 39(2), pages 130-137, April.
    4. Peeyush Vats & Gunjan Soni & Ajay Pal Singh Rathore & Surya Prakash Yadav, 2019. "A demand aggregation approach for inventory control in two echelon supply chain under uncertainty," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 840-868, September.

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