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A lead time is the latency between the initiation and completion of a process. For example, the lead time between the placement of an order and delivery of new cars by a given manufacturer might be between 2 weeks and 6 months, depending on various particularities.
Engineer to order is a production approach characterized by: [1] Engineering activities need to be added to product lead time. Upon receipt of a customer order, the order engineering requirements and specifications are not known in detail. There is a substantial amount of design and engineering analysis required.
Demand flow technology (DFT) is a strategy for defining and deploying business processes in a flow, driven in response to customer demand. DFT is based on a set of applied mathematical tools that are used to connect processes in a flow and link it to daily changes in demand.
The first research towards defining order fulfilment strategies was published by Hans Wortmann, [1] and was continued by Hal Mather [2] in his discussion of the P:D ratio, whereby P is defined as the production lead time, i.e. how long it takes to manufacture a product, and D is the demand lead time. D can be viewed as: The lead time quoted by ...
A company's place on the matrix depends on two dimensions – the process structure/process lifecycle and the product structure/product lifecycles. [1] The process structure/process lifecycle is composed of the process choice (job shop, batch, assembly line, and continuous flow) and the process structure (jumbled flow, disconnected line flow, connected line flow and continuous flow). [1]
Little's law is widely used in manufacturing to predict lead time based on the production rate and the amount of work-in-process. [ 15 ] Software-performance testers have used Little's law to ensure that the observed performance results are not due to bottlenecks imposed by the testing apparatus.
In operations management and industrial engineering, production flow analysis refers to methods which share the following characteristics: Classification of machines; Technological cycles information control; Generating a binary product-machines matrix (1 if a given product requires processing in a given machine, 0 otherwise)
A supply chain responsiveness matrix is a tool that is used to analyze inventory and lead time within an organization. The matrix is one of a number of value stream mapping tools. [1] The matrix is represented by showing lead time along the x-axis and inventory along the y-axis. The result shows where slow moving stock resides.