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Throughput accounting uses through methods in dealing with income and expenses in a system [3] Throughput (T) is the rate at which a system can produce a unit. For profit orientated systems, throughput is considered net sales (S) minus totally variable cost (TVC). Investment (I) is the monetary value of the system. The value of inventory ...
Lean manufacturing is a method of manufacturing goods aimed primarily at reducing times within the production system as well as response times from suppliers and customers.It is closely related to another concept called just-in-time manufacturing (JIT manufacturing in short).
Since the production line is directly linked to the output of the machines, it allows for the identifying of the main bottleneck in the manufacturing process. In changing each machines throughput, it will be possible to assess which machine affects the overall output the most, and hence determine the bottleneck in the chain of processes. [6]
Throughput accounting suggests that one examine the impact of investments and operational changes in terms of the impact on the throughput of the business. It is an alternative to cost accounting. The primary measures for a TOC view of finance and accounting are: throughput, operating expense and investment.
Throughput in business is the rate at which a product is moved through a production process and onward to being consumed by an end-user, usually measured in the form of sales or usage statistics. The goal of most organizations is to minimize the investment in inputs as well as operating expenses while increasing throughput of its production ...
Throughput Accounting also pays particular attention to the concept of 'bottleneck' (referred to as constraint in the Theory of Constraints) in the manufacturing or servicing processes. Throughput Accounting uses three measures of income and expense: The chart illustrates a typical throughput structure of income (sales) and expenses (TVC and OE).
Common goals are minimizing cost and maximizing throughput and/or efficiency. Process optimization is one of the major quantitative tools in industrial decision making. When optimizing a process, the goal is to maximize one or more of the process specifications, while keeping all others within their constraints.
The central tenet to DFT is the primacy of customer demand in daily execution of the operation. According to Aberdeen Group, "Demand driven manufacturing involves a synchronized, closed loop between customer orders, production scheduling, and manufacturing execution; all while simultaneously coordinating the flow of materials across the supply chain."
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