Multi-echelon Inventory Control Model and Algorithm in Coal Supply Chain
Kai Kang (),
Jing Zhang (),
Lu Ji and
Cui-juan Shang
Additional contact information
Kai Kang: Hebei University of Technology
Jing Zhang: Hebei University of Technology
Lu Ji: Hebei University of Technology
Cui-juan Shang: Hebei University of Technology
A chapter in Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), 2014, pp 533-544 from Springer
Abstract:
Abstract The inventory control in coal supply chain is an important guarantee for reducing the total inventory costs and running sustainably. This article firstly introduced the multi-echelon inventory control theory into coal supply chain, and established a mathematical model, which was the distributed two echelon inventory control model in coal supply chain, taking total inventory costs minimum in a certain customer service level as the goal. Then genetic algorithm was presented to solve the optimal reorder point, order batches and allocating batches of the regional distribution centers and storage and distribution bases. Finally, concrete examples were calculated separately by the distributed two echelon inventory control strategy in supply chain based on information coordinating center and traditional coal inventory control strategy. The comparing results indicated the effectiveness of the distributed two echelon inventory model and algorithm in coal supply chain based on cost optimization.
Keywords: Coal supply chain; Genetic algorithm; Multi-echelon inventory control; Total inventory costs (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40060-5_52
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DOI: 10.1007/978-3-642-40060-5_52
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