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"It's fine to give us tools of the LSS and the keys to understanding to implement them ... But I not know what I can optimize my business ...!?"
is what you need to tell you right now for some time if you're interested in the LSS on the net and more specifically on this blog.
To solve this problem here is a ticket where I'm going to recess some indicators of the supply chain and can be a project LSS.
Indicators for monitoring stock levels: The
stock level is followed by the rotation of stock. Stock rotation expressed in number of days until the product is in stock before being sold. It will be calculated on the basis of a stock J, divided by average sales per day.
Indicators for monitoring the reliability of forecasts:
The reliability of predictions concerns the forecast of sales and order forecasts. It gives the% of projected sales or orders established on N-1 compared to actual sales in N. It can be calculated in terms of turnover and / or quantity and established between the various links in the supply chain (Center bursting of the industrial point of sale, the retailer's distribution center). For example for a sales forecast of 160 and made 200, we get a gap forecast of 20% (40/200), which gives us a reliable forecast of 80%.
Indicators for monitoring service levels in the supply chain:
The service rate can be here on the command line, on the amounts or the number of pallets. The service rate is calculated by dividing what is delivered by what is ordered. This indicator will introduce the concept of "delivered on time" or "late (Untimely deliveries can not be counted.
Indicator Tracking backorders:
An indicator showing the number of days of delay may be introduced. It will be based on the number of days delay from the delivery date specified in the order (on line).
Monitoring Indicators rate customer service: For vision
rate service consumer side, two indicators can be used: one hand, the service rate in linear approach of calculating the number of days (or hours) where the product was available in linearly over a predetermined total upstream (in the month or week for example). On the other hand, the rupture rate in linear calculated on a number of statements about product availability. For example if the product was available 9 times over the past 10 surveys, the failure rate is 1 / 10 or 10%.
Indicators for monitoring possible:
Regarding the monitoring of deadlines, we have two indicators. The first defines the number of days (or hours) the period between the passage of the order and receipt. The second relates to the production. It makes the production time and is calculated by determining the number of days (or hours) elapsed between the production order and receiving the order.
Monitoring Indicators unplanned change:
Such monitoring can be achieved with several indicators. An approach
rush orders may be made by dividing the number of orders delivered within less than the contractual period, divided by the total number of orders.
A second indicator can detect changes in the number of changes on a business plan.
A final indicator allows to count the number of changes in the introduction of new products (dates of introduction, product launches etc ....)
indicator tracking unsold
This item may be followed by observing the rate of sale of obsolete products and / or the stock remaining at the end of promotional campaign .
Indicators for monitoring the distribution of products in stores:
monitoring indicators express mailing the presence of products in store. Digital distribution gives the% of stores with a reference product with respect to a universe of stores, a sign or a geographical area for example. The "value distribution" is digital distribution weighted by the turnover of the store.
Monitoring Indicators of Sales:
The retention rate of customers, changes in market share, changes in quantity of products sold by the buyer as well as changes in the volume of sales.
monitoring indicators of planning:
The performance of the planning can be measured by counting the number of days between the promotional plan from start of commercial activity in the store.
It can also be measured in days between the date of rebound orders and the date of supply of products.
Indicators for monitoring distribution constraints:
Optimizing distribution constraints focuses on filling the trucks and the cost of transport. Existing indicators may express a degree of filling. This is calculated by dividing the number of full truck (trucks are filled to more than 95% is considered complete) by the total number of trucks delivered.
can also define an average load per truck by dividing the number of pallets loaded with the number of places available in the truck. Inactivity trucks can also be assessed by counting the number of empty miles and dividing by the total number of miles traveled.
Regarding the cost of distribution: ratio of total transport costs reduced the turnover can be established.
monitoring indicators for data synchronization:
Regarding the synchronization of data as an indicator of compliance
bills can be analyzed. This is obtained by dividing the number of correct invoice lines by the number of invoice lines total.
I hope that this small sample of indicators Supply Chain will give you ideas for starting LSS project. Feel free to leave comments if you have any doubts about the soundness of an indicator selection ...! ;-)
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