Interval-Parameter Conditional Value-at-Risk Two-Stage Stochastic Programming Model for Management of End-of-Life Vehicles

摘要: The management of end-of-life vehicles conserves natural resources, provides economic benefits, and reduces water, air, soil pollution. Sound is vitally important worldwide thus requiring sophisticated decision-making tools for optimizing its efficiency reducing system risk. This paper proposes an interval-parameter conditional value-at-risk two-stage stochastic programming model vehicles. A case study conducted in order to demonstrate the usefulness developed model. able provide trade-offs between expected profit It can effectively control risk at extremely disadvantageous availability levels formulated produce optimal solutions under predetermined preferences confidence levels. simultaneously determine long-term allocation targets reusable parts as well capital investment, production planning, logistics decisions within a multi-period planning horizon. proposed efficiently handle uncertainties expressed interval values probability distributions. valuable insights into effects uncertainties. Compared available models, resulting are far more robust.