Effective Supply Chain Management by Using the Data-Based Decision Support System
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-9809-8_40
Reference10 articles.
1. Reich J, Kinra A, Kotzab H (2019) Strategic decision-making in global supply chain network design—how a decision support system combining MILP and AHP on a Pareto front can alleviate decision-making. IFAC-PapersOnLine 52(13):2285–2290. https://doi.org/10.1016/j.ifacol.2019.11.546
2. Vishnu CR, Sridharan R (2019) Supply chain risk management: models and methods, 32–65. https://doi.org/10.1504/IJMDM.2019.096689
3. Ross DF (2015) Introduction to supply chain management. Distribution Planning and Control, 3–43. https://doi.org/10.1007/978-1-4899-7578-2_1
4. Zheng L, Frank P-D (2002) Strategic production networks. Springer, Berlin. https://doi.org/10.1007/978-3-540-24812-5
5. Karaesmen IZ, Scheller-Wolf A, Deniz B (2010) Managing perishable and aging inventories: review and future research directions. In: Planning production and inventories in the extended enterprise. International Series in Operations Research & Management Science, pp 393–436. https://doi.org/10.1007/978-1-4419-6485-4_15
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