Sales & Operations Planning (or S&OP) links the front end, customer/demand
side of a business with the back end or manufacturing/supply side. It is in synchronizing
the two faces of the supply chain that many companies slip up- with the resultant
inefficiencies often proving to be the difference between the leaders and the laggards.
Applied Optimization's Sales & Operations Planning solutions enables the critical
synchronization between supply and demand that is needed for the whole organization
to work towards the common organizational goal of maximizing the profit of the overall
business. Our approach ensures that the S&OP process reflects the reality of
the client’s business model - and does not try to force-fit it to a pre-packaged
software product or model. Typical objectives to be optimized include Operating
Margin, Plant Production, Delivery Span (lead time), and Supply-Chain Costs. Our
customization approach allows you to develop a plan that is fully aligned with your
business goals.
We provide a comprehensive Planning tool that streamlines your decision-making process
substantially to improve profitability through cost reductions and optimization
of operations. The advanced planning functionalities and integrated, benchmarked
planning model sets it apart from expensive supply-chain software suites as well
as from simplistic spreadsheet-based tools.
An example of a Sales & Operations Planning application is given in this
case-study on Applied Optimization's implementation of a planning solution
at a leading, global, polymer-manufacturing industry.
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implementing an s&op solution will enable you to:
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- Introduce your organization to a structured S&OP process used
by leaders in the process industry.
- Streamline business processes and eliminate deficiencies on the
critical path to a successful S&OP process.
- Organize the workflow in your S&OP process to meet business goals.
- Provide your organization with a solid foundation upon which
to build sophisticated business processes.
- Reap the benefits of forecasted demand data.
- Evolve towards a financial model-based, and cost-optimized S&OP
process.