This Dynamic Simulation exercise aimed to meet following Compelling
We developed a network model and used ALX Network Optimization (NO) engine to obtain an optimal network structure. We provided full flexibility to model in term of intersite (Plant to DCs, and between DCs), and direct customer shipping (DC to Wholesalers) connectivity, so that NO engine comes up with optimal network design to minimize transportation and warehousing costs. The results revealed that new recommended design has a USD 390M/month (JPY 43MM/month) saving vs. current network from Intersite shipping.
For building a network optimization model of an FMCG company in Indonesia, we applied anyLogistix supply chain software. The combination of network optimization and dynamic simulation capabilities in one package would allow us to measure every aspect of supply chain performance and would provide more accurate and transparent decision making. A powerful set of in-package experiments would save time when designing and testing new policies.
The final network design and policies, compared to the current design, showed better performance in terms of service level and cost saving. Average inventory level dropped 35% and total costs decreased to 20%. The designed structure was proposed to the executives, received positive feedback, and was advised for implementation. .
In the new supply chain design, the company has 3 DCs to fulfil customers in China South region. Therefore, a dynamic sourcing logic is designed to assign orders to one of 3 DCs. MRP replenishment policy based on unconsumed forecast is modelled to calculate inventory replenishment. Using ALX extension, we built an agent-based simulation model to address following problem statements:
Principal Project Manager, Advanced Remanufacturing and Technology Centre (ARTC)
I had the pleasure of working closely with SupChainEra team under a Supply Chain Simulation and Optimization project. The project was a collaboration between Advanced Remanufacturing and Technology Centre (ARTC) of Singapore and its industry members. I can confidently say that SupChainEra has an extremely capable and dedicated Supply Chain professionals. Their team greatly help us to integrate inside 4-walls simulation models with outside Supply Chain Network using AnyLogistix extension. It is pleasure to work with SupChainEra and looking forward to have more project with them.
Engineering Director, Supply Chain Simulation and Analytics, Procter & Gamble (P&G)
Hassan is a true professional in analyzing supply chain design and performance. We worked together on a distribution network optimization project, his expertise in anyLogistix simulation software and logistics design were key enablers for project success.
Vice President, Supply Chain, Coca-Cola Philippines
I had a great collaboration experience with Hassan, when he was the lead of a distribution network simulation project for Coca-Cola Singapore and Malaysia (SIMA). Hassan's expertise in AnyLogic simulation software and data analytics resulted in a simulation model which supported Coca-Cola SIMA to manage distribution network challenges and make decisions to evaluate if our route-to-market model needed to be changed.