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我们公司作六西格玛项目,提高每小时的出入库的箱数,所以有一组出入库数量/小时的数据,这个数量是否可以计算出过程的cpk,是否可以核算出西格玛数值。
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Eliyahu Goldratt 的 "The Goal" 是 Theory of Constraints (TOC) 的始祖。 Wikipedia:

History

The theory of constraints (TOC) is an overall management philosophy introduced by Eliyahu M. Goldratt in his 1984 book titled The Goal, that is geared to help organizations continually achieve their goals. Goldratt adopted the concept with his book Critical Chain, published 1997. The concept was extended to TOC with respectively titled publication in 1999.

An earlier propagator of the concept was Wolfgang Mewes 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 as a more advanced theory of bottlenecks. The publications of Wolfgang Mewes are marketed through the FAZ Verlag, publishing house of the German newspaper Frankfurter Allgemeine Zeitung. However, the paradigm Theory of constraints was first used by Goldratt.

Key assumption

The underlying premise of theory of constraints is that organizations can be measured and controlled by variations on three measures: throughput, operational expense, and inventory. Throughput is the rate at which the system generates money through sales. Inventory is all the money that the system has invested in purchasing things which it intends to sell. Operational expense is all the money the system spends in order to turn inventory into throughput.

Before the goal itself can be reached, necessary conditions must first be met. These typically include safety, quality, legal obligations, etc. For most businesses, the goal itself is to make money. However, for many organizations and non-profit businesses, making money is a necessary condition for pursuing the goal. Whether it is the goal or a necessary condition, understanding how to make sound financial decisions based on throughput, inventory, and operating expense is a critical requirement.

The five focusing steps

Theory of constraints is based on the premise that the rate of goal achievement by a goal-oriented system (i.e., the system's throughput) is limited by at least one constraint.

The argument by reductio ad absurdum is as follows: If there was nothing preventing a system from achieving higher throughput (i.e., more goal units in a unit of time), its throughput would be infinite — which is impossible in a real-life system.

Only by increasing flow through the constraint can overall throughput be increased.

Assuming the goal of a system has been articulated and its measurements defined, the steps are:
1.Identify the system's constraint(s) (that which prevents the organization from obtaining more of the goal in a unit of time)
2.Decide how to exploit the system's constraint(s) (how to get the most out of the constraint)
3.Subordinate everything else to the above decision (align the whole system or organization to support the decision made above)
4.Elevate the system's constraint(s) (make other major changes needed to increase the constraint's capacity)
5.Warning! If in the previous steps a constraint has been broken, go back to step 1, but do not allow inertia to cause a system's constraint.

The goal of a commercial organization is: "Make money now and in the future", and its measurements are given by throughput accounting as: throughput, inventory, and operating expenses.

The five focusing steps aim to ensure ongoing improvement efforts are centered on the organization's constraint(s). In the TOC literature, this is referred to as the process of ongoing improvement (POOGI).

These focusing steps are the key steps to developing the specific applications mentioned below.


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