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.
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References
Fei Y, Zhong TF (2008) Inventory optimization model for reducing the cost of storing coal in fossil power plant under the competitive pricing environment [J] (in Chinese). J Electr Power 23(1):5–8
Chen WJ, Hui MH, Jiao WE (2009) Regularity and pattern of Chinese coal resources flow field [J] (in Chinese). J Nat Res 24(8):1402–1411
Saetta S, Paolini L, Tiacci L et al (2012) A decomposition approach for the performance analysis of a serial multi-echelon supply chain [J]. Int J Prod Res 50(9):2380–2395
Clark J, Scarf H (1960) Optimal policies for a multi-echelon inventory problem [J]. Manag Sci 6(4):475–490
Doğru MK, de Kok A, van Houtum G (2012) Newsvendor characterizations for one-warehouse multi-retailer inventory systems with discrete demand under the balance assumption [J]. CEJOR 4:1–19
Song P (2013) Optimal control of supply chains in more general situations [A]. In: Optimal control and optimization of stochastic supply chain systems [M]. Springer, New York, pp37–59
Rubin S, Kalagnanam JR, Frey HC et al (1997) Integrated environmental control modeling of coal-fired power systems [J]. J Air Waste Manag Assoc 47(11):1180–1188
Terahara G (1999) Rail network analysis for coal transportation in China (1 Jan 1999). Dissertations available from ProQuest. Paper AAI9937787. http://repository.upenn.edu/dissertations/AAI9937787
Tao L, Yong CR (2009) Empirical analysis on network structure of the inter-regional coal transportation [J] (in Chinese). Railw Transp Econ 31(11):1–7
Feng, Fang ZG, Zhang N (2009) The optimal inventory of power generation coal in thermal power enterprise under the circumstance of the relaxation of the price [J] (in Chinese). Logist Sci Technol 32(8):26–28
Kobbacy KAH, Vadera S, Rasmy MH (2007) AI and OR in management of operations: history and trends [J]. J Oper Res Soc 58(1):10–28
Zhi TP, Liang W, Wei LD (2010) A temporal and spatial analysis of regional coal transportation of closed loop in China [J] (in Chinese). J Nat Res 25(8):1332–1339
Wen WW (2000) An integrated fine coal preparation technology: the granuflow process [J]. Int J Miner Process 58(1–4):253–265
Zhao XL (2008) Supply chain cooperation between coal enterprise and electric power enterprise in China [D] (in Chinese). J Southwest Jiaotong Univ, Sichuan, China, 61–65
Nan Z (2009) Research on power generation coal inventory policy of our country’s thermal power enterprise [D] (in Chinese). Nanjing University of Aeronautics and Astronautics
Griffis SE, Bell JE, Closs DJ (2012) Metaheuristics in logistics and supply chain management [J]. J Bus Logist 33(2):90–106
Acknowledgment
The paper is supported by National social science fund projects (12CGL112), Humanities and social science fund project of Ministry of Education (12YJA630049), Jointly doctor Fund Project of Ministry of Education 20121317110012), Hebei province science and technology support project (12214703).
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Kang, K., Zhang, J., Ji, L., Shang, Cj. (2014). Multi-echelon Inventory Control Model and Algorithm in Coal Supply Chain. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40060-5_52
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DOI: https://doi.org/10.1007/978-3-642-40060-5_52
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