Showing posts with label Management. Show all posts
Showing posts with label Management. Show all posts

Sunday, September 4, 2011

Lean Six Sigma, and Inventory Management

This stems from the fact that when an order is received, the goods can be shipped immediately. But this scenario often leads to the accumulation of stocks, unless revenues are generated good - or obsolete inventory.

There are projects to improve this situation, but often give short term results at the end. The best solution is the implementation of Lean tools to reduce excess inventory and obsolete.

Data Collection Tools

Lean Six Sigma can be very effective in reducinghuge losses incurred as a result of too much and obsolete inventory.

Analyze the root causes

The first step is the analysis of excess and obsolete inventory that take more than one organization. The DMAIC methodology can be very useful in reducing the inventory improvement in the scenario.

Often the root cause of this result of long lead times, poor prognosis and quality issues. Further analysis shows that there are reasons that are linked to the cableproblems.

For example, the delivery of large size are caused by much larger. Although the order cycle time by 30 days if the lot size for the purchase is 90 days, then this leads to a huge amount of inventory. Although this is not the only reason can be an important reason along with the cause of a complicated process.

There may be other reasons that cause the stale inventory. If the lead time is great and it happens to be in need of some revision, then by the time theCamping offers the utility of the inventory must be reduced.

For example, a pharmaceutical company when times are large, the title could be up to date on which the product is expired or not very far from doing.

In such a situation, the customer may reject the product.

Deal with weak demand, supply and Forecasting

Another cause may be due to poor management of supply and demand process. If it is bad weather, or inaccuracy of the data onOn the demand side and on-sales on the outstanding team of sales, stocks can be overwhelming.

Rework caused by defects is another important factor that leads to obsolete inventory and increased throughput times. Lean Six Sigma tools can be used with extreme caution in dealing with this situation.

Allow the phases of DMAIC to define the objectives of the project, the data collection phase of the plan of action, and performing a physical count during the measurement.This helps to understand the value of the best title of the book value. Flow analysis of the value in the analysis phase helps us understand how the input variables affecting the stock.

It can be the basis for an inventory model. Other areas are also identified, in which the inventory made in vain. Lean tools such as 5S can be very helpful in fixing this situation. Further improvements are also identified.

The phase control can be an ongoing process,capable of sustainable improvements.

Lean can be very helpful in addressing the problems of excess inventory and obsolete tools and techniques to identify the causes and the design of lean solutions to optimize the process.

Lean Six Sigma, and Inventory Management

Wednesday, August 3, 2011

Making a career in Clinical Data Management

EDC is a new trend and the majority of studies in the near future is to move this type of data from traditional paper-based data collection. EDC software as well as continue to create innovative solutions in the field of clinical data management to provide important Healthcare / Biotech / Pharmaceuticals organizations around the world and its suppliers are expected to continue, will spread further to electronic health records in the medical field more wideEcosystem on patient data directly from electronic health records.

To minimize the challenges for its clients key search CDM system, clinical research organizations, the setting of a manager with great experience of clinical data CDMS solution to offer its customers in all regions to help a CDMS documented robust implementation and expert integration with completely below skills:

Data Collection Tools

• To build faster and study planningProcesses.
• Meet with the processing of customer data.
• To be able to analyze and manage requirements.
• To achieve a more efficient collection and management of patients and management of study data.
• FDA compliance.
• High accuracy of data entry.
• Complete validation data.
• Complete electronic audit trails.

Skills and experience plays an important role in the choice of a manager and, therefore, candidates must be safe in allIn addition to all these aspects and he / she meet the needs of organizations specified conditions. Many students who have basic biology background, can start their career with CDM in a CRO. If you are looking for someone to find the career transition current and future challenges to meet, then met in the right place.

Making a career in Clinical Data Management

Wednesday, June 29, 2011

PigCHAMP Software - Swine Farm Management Software

PigCHAMP Software - Swine Farm Management Software Video Clips. Duration : 0.38 Mins.


PigCHAMP software is leader in swine farm management software. The PigCHAMP line of products is an integrated and innovative suite of powerful management tools for the swine industry. Used worldwide by producers, veterinarians, and management consultants, it is the leader in swine data collection, management and interpretation that gives you the clearest vision of your operation available today. The new PigCHAMP Mobile system lets you collect data electronically and transfer it easily into the Care 3000 program. This saves time, eliminates paperwork, and ensures data accuracy. More features than PigKnows software. www.pigchamp.com A Farms.com Company

Tags: pigchamp, Famrs.com, swine, pork, farm, software