Analyzing a Series-Parallel Inventory-Redundancy Green Allocation System Using a Max-Min Approach

چکیده مقاله

This paper presents a novel and practical Series-Parallel InventoryRedundancy Allocation System in a green supply chain consisted of a single manufacturer and multiple retailers operating in distinctive markets without any conflict of interests. The manufacturer produces several products and dispatches them to retailers at different wholesale prices under the common replenishment cycle policy. In contrast, the retailers sell the purchased products to customers at different retail prices. The manufacturer considered in this research, encounters a redundancy allocation problem (RAP), which the solution subsequently enhances system production reliability. Furthermore, to emphasize on global warming and human health concerns, this paper considers both the tax cost of industrial greenhouse gas (GHG) emissions of all produced products and the limitation for total GHG emissions. The manufacturer desires to maximize the total net profit as well as the mean time to failure of his production system using a redundancy allocation problem. To achieve this aim, the max-min approach is utilized to maximize the minimum (the worst) value of the objective functions. Finally, numerical experiments are presented to further demonstrate the applicability of the proposed methodology. Sensitivity analysis on the green supply chain approach is also performed to obtain more insight.

دریافت لینک دانلود مقاله