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[연구]Inventory allocation and shipping when demand temporarily exceeds production capacity
2013.06.01 Views 903 경영학연구분석센터
European Journal of Operational Research
Volume 227, Issue 3, 16 June 2013, Pages 464–470
Wooseung Jang (a), Daeki Kim (b), Kwangtae Park (b)
a Department of Industrial and Manufacturing Systems Engineering, University of Missouri-Columbia, Columbia, MO 65211, United States
b Business School, Korea University, Anam-5Ga, Seongbuk, Seoul 136-701, Republic of Korea
http://www.sciencedirect.com/science/article/pii/S0377221713000404
Abstract
We address the concept of an integrated inventory allocation and shipping model for a manufacturer with limited production capacity and multiple types of retailers with different backorder/waiting and delivery costs. The problem is to decide how to allocate and deliver produced items when the total retailer demand exceeds the production capacity, so that total retailer backorder and delivery costs are minimized. Our analytical model provides optimal allocation and shipping policies from the manufacturer’s viewpoint. We also investigate the allocation strategy of a manufacturer competing with other retailers to directly sell to end consumers.
Keywords
Inventory allocation; Shipping; Customer waiting cost; Supply chain management
Volume 227, Issue 3, 16 June 2013, Pages 464–470
Wooseung Jang (a), Daeki Kim (b), Kwangtae Park (b)
a Department of Industrial and Manufacturing Systems Engineering, University of Missouri-Columbia, Columbia, MO 65211, United States
b Business School, Korea University, Anam-5Ga, Seongbuk, Seoul 136-701, Republic of Korea
http://www.sciencedirect.com/science/article/pii/S0377221713000404
Abstract
We address the concept of an integrated inventory allocation and shipping model for a manufacturer with limited production capacity and multiple types of retailers with different backorder/waiting and delivery costs. The problem is to decide how to allocate and deliver produced items when the total retailer demand exceeds the production capacity, so that total retailer backorder and delivery costs are minimized. Our analytical model provides optimal allocation and shipping policies from the manufacturer’s viewpoint. We also investigate the allocation strategy of a manufacturer competing with other retailers to directly sell to end consumers.
Keywords
Inventory allocation; Shipping; Customer waiting cost; Supply chain management