Design of a pharmaceutical supply chain network under uncertainty considering perishability and substitutability of products
| Autor: | Payman Jula, Behzad Zahiri, Reza Tavakkoli-Moghaddam |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Mathematical optimization
021103 operations research Information Systems and Management Total cost Computer science Supply chain 0211 other engineering and technologies 02 engineering and technology Fuzzy logic Computer Science Applications Theoretical Computer Science Network planning and design Artificial Intelligence Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Perishability 020201 artificial intelligence & image processing Supply chain network Software |
| Zdroj: | Information Sciences. 423:257-283 |
| ISSN: | 0020-0255 |
| DOI: | 10.1016/j.ins.2017.09.046 |
| Popis: | We propose a new analytical model for pharmaceutical supply chain network design.Considering products perishability, substitutability and quantity discount.Introducing a novel robust possibilistic optimization approach.Providing a case study to show the application of the model in industry. This paper proposes a mathematical model for the network design of a pharmaceutical supply chain. The two objective functions of the presented model seek to minimize the total cost and the maximum unmet demand. We depart from the existing literature by considering products shelf-life, substitutability and quantity discount, while addressing uncertainties in costs and demand. In doing so, a novel robust possibilistic optimization approach is introduced and its performance is analyzed. Finally, a case study is provided and its proposed optimal network is discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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