Medium-term production plans, where sales are not yet effective, can be modeled with algorithms that use, for example, product characteristics, customer segments, sales teams, customer growth levels, migration trends for certain products. These guidelines facilitate macro resource planning for production lines and the acquisition of raw materials, especially those with a higher supply leadtime.
The forecasts provided by the sales teams without a coherent rationale generate successive replanning by the PCP. To minimize these planning deviations, which result in idleness, lack of factory labor, excess inventories, the use of time series is the scientific method to minimize these forecast errors.
The opportunity with this method is to work in a more structured way, rather than “putting out fires”.
Suggestions presented for the processes of Business Management, Sales and Marketing, Engineering, Manufacturing.
Suggestions presented for the processes of Business Management, Sales and Marketing, Engineering, Quality.
In addition to the S&OP process, which integrates Sales forecasts with Production Planning, some processes are essential for PCP, such as Production Sequencing, Inventory Control, Supply of Purchased/Outsourced Items.
Process mappings integrated with the definition of performance indicators for manufacturing, result in more efficiency and effectiveness for the company.
Suggestion presented for the Business Management process.
Suggestions presented for the Sales and Marketing, Engineering, Manufacturing, Quality, Procurement processes.
Suggestions presented for the Sales and Marketing, Engineering, Manufacturing, Quality, Procurement processes.
Suggestions presented for the Administrative-Financial, Sales and Marketing, Engineering, Manufacturing, Quality, Procurement processes.
The main opportunities that involve PPC are related to Customer Service Time, Finishing or Intermediate Inventories, any index in general comparing Planned versus Realized. All the suggestions presented work on the root cause analysis of the problems and implementation techniques and validation of the results.