An Interior Point Method for a Series-Parallel Inventory-Redundancy Green Allocation Problem

چکیده مقاله

This paper presents a novel and practical Series-Parallel Inventory-Redundancy Allocation System in a green supply chain including a single manufacturer and multi-retailer operating in distinctive markets. The manufacturer produces several products and then dispatches them to the 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 intends to maximize the total net profit as well as the mean time to failure of his production system through a redundancy allocation problem. To achieve this aim, an Interior Point Method (IPM) is utilized to maximize 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