Integrated relief pre-positioning and procurement planning in humanitarian supply chains
| Autor: | Saeideh Tofighi, Iman Shokr, S. Ali Torabi, Jafar Heydari |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Flexibility (engineering)
021103 operations research Supply chain management Humanitarian Logistics Uncertain data Operations research Computer science Supply chain 05 social sciences 0211 other engineering and technologies Transportation 02 engineering and technology Stochastic programming Procurement 0502 economics and business Programming paradigm Business and International Management 050203 business & management Civil and Structural Engineering |
| Zdroj: | Transportation Research Part E: Logistics and Transportation Review. 113:123-146 |
| ISSN: | 1366-5545 |
| Popis: | Humanitarian organizations typically pre-position relief items in strategic locations whose optimum levels are affected by the amounts of pre-disaster contractual agreements and post-disaster procurements. To account for these interrelationships, this paper proposes a novel two-stage scenario-based mixed fuzzy-stochastic programming model for integrated relief pre-positioning and procurement planning based on a quantity flexibility (QF) contract under a mixture of uncertain data. An effective multi-step solution method is also devised to solve the problem in real-sized instances. Applicability of the proposed model is examined through a real case study. Finally, a number of sensitivity analyses are conducted to provide helpful managerial insights. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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