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The result of having a bottleneck are stalls in production, supply overstock, pressure from customers, and low employee morale. [1] There are both short and long-term bottlenecks. Short-term bottlenecks are temporary and are not normally a significant problem. An example of a short-term bottleneck would be a skilled employee taking a few days off.
This plan quantifies significant processes, parts, and other resources in order to optimize production, to identify bottlenecks, and to anticipate needs and completed goods. Since a MPS drives much factory activity, its accuracy and viability dramatically affect profitability. Typical MPSs are created by software with user tweaking.
In streamline manufacturing, the bottleneck is the station of a production line where greatest limiting factor lies. It is generally the station with the greatest amount of work in process at the work station. Bottlenecks often results in slow production times, surplus of raw material and low employee morale.
The Shifting Bottleneck Heuristic is a procedure intended to minimize the time it takes to do work, or specifically, the makespan in a job shop. The makespan is defined as the amount of time, from start to finish, to complete a set of multi-machine jobs where machine order is pre-set for each job.
An earlier propagator of a similar concept was Wolfgang Mewes [2] in Germany with publications on power-oriented management theory (Machtorientierte Führungstheorie, 1963) and following with his Energo-Kybernetic System (EKS, 1971), later renamed Engpasskonzentrierte Strategie (Bottleneck-focused Strategy) as a more advanced theory of bottlenecks.
The book goes on to point out the role of bottlenecks (constraints) in a manufacturing process, and how identifying them not only makes it possible to reduce their impact, but also yields a useful tool for measuring and controlling the flow of materials. Alex and his team identify the bottlenecks in their process and immediately begin to ...
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Overall equipment effectiveness [1] (OEE) is a measure of how well a manufacturing operation is utilized (facilities, time and material) compared to its full potential, during the periods when it is scheduled to run. It identifies the percentage of manufacturing time that is truly productive.