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实例探究 > Unearthing Profitability via Cost to Serve Optimization

Unearthing Profitability via Cost to Serve Optimization

技术
  • 分析与建模 - 预测分析
  • 功能应用 - 企业资源规划系统 (ERP)
适用行业
  • 农业
  • 化学品
适用功能
  • 物流运输
  • 仓库和库存管理
用例
  • 库存管理
  • 预测性维护
  • 供应链可见性(SCV)
服务
  • 系统集成
  • 培训
挑战
As the population of a market increases, so does the demand for agriculture products. In North America, Tessenderlo has enjoyed steady organic growth since its inception. However, growth does not come without its challenges. With constraints in their network becoming more evident, Tessenderlo recognized transportation asset availability, accessibility of transport modes, production capacity utilization, and operating costs needed to improve. Presented with this daunting task, Tessenderlo quickly realized it was in their best interest to hone in on these challenges by creating a practice dedicated to Supply Chain Analytics.
关于客户
For over 100 years, Tessenderlo Group, a 1.6B € diversified industrial organization, has been delivering world-class products and solutions around agriculture and bio-residuals. Presently, the organization operates at more than 100 locations across the globe, including 15 production plants and over 100 distribution terminals. Tessenderlo Group is known for its commitment to innovation and sustainability, providing essential products and services that support the agricultural sector and contribute to environmental conservation. The company has a strong presence in North America, where it has experienced significant growth and expansion.
解决方案
In order to rapidly get their Supply Chain Analytics capabilities off the ground, the Tessenderlo North American team selected anyLogistixTM as their primary Supply Chain Design and Optimization platform given the exceptional customer service and rapid time-to-value for solutions. The initial project Tessenderlo tackled was to optimize the cost-to-serve for two of its core product offerings. These products were produced and distributed out of multiple plant locations, creating complexities around competing production resources, available storage, and transportation assets. With the guidance of the anyLogistixTM team, the Tessenderlo Supply Chain Analytics practice decided on the following approach: Create a baseline scenario model to best understand the current state of the supply chain with a key focus on plant capacity utilization, production costs allocation, transportation spending, and terminal distribution costs. Run a series of scenarios to identify an array of optimal methods to serve end customers. The primary objective was to uncover how asset utilization and associated costs (plant, production, storage, transportation, etc.) varied when shifting production and distribution among the various plants. Review the top 10 scenarios with the Tessenderlo key stakeholder project team to validate the results and decide on the most appropriate future state scenario to implement.
运营影响
  • By utilizing the anyLogistixTM platform, the Tessenderlo team achieved the insight and confidence needed to properly redeploy their production and distribution strategy for the two products in North America.
  • The project team will march forward taking a similar approach on the remainder of Tessenderlo’s products and network challenges to identify further opportunities for savings.
  • To ensure continued success and maximize ROI of optimization-driven Supply Chain transformations, the organization plans to leverage the anyLogistixTM platform capabilities on a recurring basis to maintain a pulse on operations while also validating optimization findings.
数量效益
  • Savings identified by the project were approximately $1.4MM USD annually.

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