Inventory risk pooling strategy for the food distribution network in Korea
Seung-Chul Oh,
Hokey Min and
Young-Hyo Ahn
European Journal of Industrial Engineering, 2021, vol. 15, issue 4, 439-462
Abstract:
Today's business environments are characterised by the high degree of volatility and risk due to fast changing customer behaviours and increasingly diversified product lines. Since the volatility and risk are often triggered by demand variability, growing efforts are made to control demand variability. One of such efforts includes inventory risk pooling which aims to reduce inventory variability by aggregating customer demand across products, time, and location. The success of inventory risk pooling, however, hinges on its ability to consolidate inventory at the central location of a supply chain network. To help supply chain professionals formulate a wise inventory risk pooling strategy, this paper redesigns a warehouse network in such a way that it increases inventory turnover, reduces the risk of inventory obsolescence/shortage/surplus, allocates inventory to field warehouses closer to highly concentrated customer bases, and centralises inventory stocking locations for the aggregated demand. To solve this complex distribution network redesign problem, we propose a simulation model and test its validity by applying it to an actual distribution problem encountering the consumer packaged goods manufacturer in Korea, which produces and distributes food products. [Received: 14 August 2017; Accepted: 30 June 2020]
Keywords: inventory pooling; distribution network design; processsed food distribution; a cold supply chain; simulation; case study; Korea. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=116131 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:eujine:v:15:y:2021:i:4:p:439-462
Access Statistics for this article
More articles in European Journal of Industrial Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().