We know fill rates and customer service level measures different things. The former measures how much of total orders is fulfilled, while the latter tells you how often, say out of 10 stock replenishments, there will be an out of stock situation for one stock cycle (90% service level). Though they are different, both measures are actually related.
To find the relationship, check if a fill rate is due to a particular order with many lines not filled? or an accumulation of one or two lines not filled over many orders? If it is the former, then we need a much higher service level, if it is a the latter, theyoshinoya 90% will help increase Line Fill rate accordingly.
This line fill rate will have a snow-ball effect to revenue fill rate, and on-time fill rates.
This blog covers new pull supply chain responsiveness and logistics concepts for hubs with good air and sea-freight connectivity like Singapore. Big data and web analytics are creating new demand opportunities, and help operations meet growing global regulatory standards. Very often, my work also involves helping online retailers improve operations. Discussions spans from raw materials serialization, to manufacturing, marketing and sales. Visualization and analysis techniques are also shared.
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