San Francisco, CA (PRWEB) June 10, 2010
Where can supply planners look to find their next set of efficiencies in performance and cash flow? The answer: In their strategic supply planning process. Supply Chain Toolworks, Inc. presented the tangible results of how they help organizations to generate cash flow through an advanced solution at IE Group’s CPG Forecasting and Planning Summit.
The conference was held in Chicago on June 2nd and 3rd and represented some of the leading thinkers and practitioners in the supply planning space. Lorine DeHuff, CFO, took the companies wealth of knowledge in periodic planning procedures and gave her audience a look of what it takes to institute an advanced supply planning process as well as what can be
Abstract of presentation:
Companies can find a wealth of cash flow inside their Operations Planning process. The ones who have pursued this goal all found a common set of needs, limitations, and difficulties. These needs, limitations and difficulties can only be overcome by investing in a periodic planning process that recognizes the complexities and constraints of the manufacturing environment. Organizations that develop run strategies and playbooks based on statistical models improve their cash flow positions. They also find their performance becomes more stable and capital and executive decision making is more consistent.
The presentations will be made available on June 16th via the IE Group (http://www.theiegroup.com). Please watch or ask Supply Chain Toolworks to take you through their approach.
About Supply Chain Toolworks:
Supply Chain Toolworks, Inc. is a innovative company that provides supply chain solutions to manufacturers. It was founded by core team of management consultants that feel sophisticated planning and analysis for the supply chain are skills that can be brought inside the organization with the correct type of human friendly software.
We believe that human knowledge and intuition is still the best tool to create a strategy -- that the “sandbox” approach of leveraging human and computational strengths will always beat the “black box” solution derived by blind computer optimization.