Scheduling Solution For Demand-Driven Manufacturing
Logistics Insight Asia - Technology & Market Trends, 11/11/2008
ILOG recently unveiled ILOG Plant PowerOps 3.1 , the latest version of the company's integrated planning and scheduling solution, featuring what’s said to be the industry's first support for dynamic safety stocks. This capability can help companies reduce inventories and improve service, and is a major step towards achieving demand-driven manufacturing.
Plant PowersOps (PPO) 3.1, part of ILOG's LogicTools suite of Supply chain Applications, comes with global optimization capability that can plan production by taking into account service level targets and demand variability. PPO 3.1 also provides new plant design and process design capabilities that enable both industrial engineers and production planners to collaborate on decision-making for plant profitability.
Rising prices of raw materials is pushing the Food and Beverage and fast-moving Consumer Goods industries to focus on reducing inventories and to produce in smaller batches while maintaining very high levels of service. Before the availability of PPO 3.1, safety stock targets would be set at the plant using guess-work, formulas or algorithms that make strong assumptions on the production lead times. Based on the safety stock targets, planners would build a production plan that may be far from the initial assumptions, therefore invalidating the stock targets. This scenario could then lead to maintaining the wrong amount of inventory, resulting in either higher inventory levels than necessary or stock-outs which hurt service levels.
Leveraging a global optimization model, PPO 3.1 provides a holistic view spanning from demand variability to safety stock targets to production plan. This capability limits decisions making based on product plan assumptions - and vice-versa, production plans that are generated based on faulty safety stock decisions. The benefits of this new global optimization capability are that the safety stock now perfectly covers production and demand variability, leading to improved service levels and reduced inventories.
BETTER COLLABORATION BETWEEN DESIGNERS AND MANUFACTURING
Before the availability of PPO 3.1, engineers using simulation tools were able to model the details of chemical and biological reactions; but due to limited optimization capabilities of these tools, they were unable to generate realistic schedules taking into account all manufacturing constraints.
PPO 3.1 provides extended functionalities for what-if analysis, master data editing and reporting with interfaces for industrial engineers and production planners, allowing them to share the same data. Industrial engineers can easily simulate different plant configurations using a simple user interface. It enables them to discover hidden bottlenecks and to make strategic decisions based on realistic simulations of manufacturing schedules. This greatly improves collaboration between design and manufacturing.
This collaboration is essential in the biotech and the pharmaceutical industries where plant and process designs are often a top priority due to high equipment costs and the period necessary to obtain FDA approvals.
ILOG, www.ilog.com.
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