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337. Design of Novel Resilience and Risk Management Model for Sustainable Supply Chains
Invited abstract in session TB-55: Freight transportation and logistic I, stream Transportation.
Tuesday, 10:30-12:00Room: S02 (building: 101)
Authors (first author is the speaker)
| 1. | Giray Resat
|
| Industrial Engineering, Izmir University of Economics |
Abstract
This study presents a novel solution methodology to cover sustainability objectives by synchronizing risk and resilience impact estimations for multimodal freight transportation industry. Minimization of total cost, time, and carbon emissions by using augmented ϵ-constraint method are outlined under multi-objective mixed integer optimization model. Also, approach is shown as comparative analysis, after defining some pre-processing, symmetry breaking steps, valid inequalities, and logic cuts. After identifying fourteen different risk factors for multimodal transportation system, if the most critical risk factor occurs, there will almost 380% increase in total logistics cost and 210% increase in time, respectively. Decision makers can use alternative Pareto solution sets and information about potential impact of different risk factors over sustainability in their risk management systems. Therefore, some pro-active action plans can be proposed for dynamic environments and improve the logistics systems reliability under different supply disruptions.
Keywords
- Supply Chain Management
- Transportation
- Programming, Mixed-Integer
Status: accepted
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