SRM and Performance Evaluation Models for Logistics Optimization in Consumer Supply Chain

This paper focuses on the evaluation of transport optimization techniques in a consumer-packaged goods supply chain. In particular, it evaluates how the parameters of the optimization, such as the inbound and outbound capacity of nodes, affect the effectiveness of the distribution of goods, measured in terms both of the ability to fulfill the demand in time and of reducing the cost (and environmental impact) of logistics operations. Synthetic data regarding a realistic supply chain network have been generated and the Rulex Platform’s Transport Optimizer has been applied to different scenarios where some parameters of the network have been changed. This allows supply chain experts to create a what-if analysis about how the supply chain would react if something changed in the network. Moreover, from a strategic perspective, the analysis of the behavior of the network in different situations could lead to redesigning the whole supply chain to reduce its impact while keeping the quality of service. An in-depth analysis is performed in this paper on the synthetic data and on a selected set of parameters of the network.