Simulation based model for component replenishment in multi-product ATO systems with shared resources

Multi-Component Efficiency with Shared Resources in Commercial Banks

A chance-constrained multi-objective model for final assembly scheduling in ATO systems with uncertain sub-assembly availability

A chance-constraint multi-objective model under uncertainty in the availability of subassemblies is proposed for scheduling in ATO systems. The on-time delivery of customer orders as well as reducing the company's cost is crucial; therefore, a three-objective model is proposed including the minimization of1) overtime, idletime, change-over, and setup costs, 2) total dispersion of items’ deliver...

Replenishment Policies for Multi-Product Stochastic Inventory Systems with Correlated Demand and Joint-Replenishment Costs

T his study analyzes optimal replenishment policies that minimize expected discounted cost of multi-product stochastic inventory systems. The distinguishing feature of the multi-product inventory system that we analyze is the existence of correlated demand and joint-replenishment costs across multiple products. Our objective is to understand the structure of the optimal policy and use this stru...

Fuzzy Multi-Component DEA with Shared and Undesirable Fuzzy Resources

Abstract—Multi-component data envelopment analysis (MCDEA) is a popular technique for measuring aggregate performance of the decision making units (DMUs) along with their components. However, the conventional MC-DEA is limited to crisp input and output data which may not always be available in exact form. In real life problems, data may be imprecise or fuzzy. Therefore, in this paper, we propos...

Estimated Returns to Scale with Interval Data in Parallel Manufacturing Systems with Shared Resources