L4M7 Exam Dumps : Whole Life Asset Management

Explanation

Kanban (看板) (signboard or billboard in Japanese) is a scheduling system for lean manufacturing and just-in-time manufacturing (JIT).

Poka-yoke (ポカヨケ, [poka yoke]) is a Japanese term that means "mistake-proofing" or "inadvertent error prevention". A poka-yoke is any mechanism in any process that helps an equipment operator avoid (yokeru) mistakes (poka). Its purpose is to eliminate product defects by preventing, correcting, or drawing attention to human errors as they occur.

Kaizen is a concept referring to business activities that continuously improve all functions and involve all employees from the CEO to the assembly line workers. Kaizen (改善) is the Sino-Japanese word for "improvement". Kaizen also applies to processes, such as purchasing and logis-tics, that cross organizational boundaries into the supply chain.

Muda (無駄, on'yomi reading) is a Japanese word meaning "futility; uselessness; wastefulness", and is a key concept in lean process thinking, like the Toyota Production System (TPS) as one of the three types of deviation from optimal allocation of resources (the others being mura and muri). Waste reduction is an effective way to increase profitability.

Explanation

The most common subjective forecasting techniques include the following:

- Market surveys

- Employee surveys

- Expert knowledge (Delphi method is a method using expert knowledge)

- Test marketing

Cycle counting is a periodic analysis of inventory in a storage location which is conducted through the counting of samples instead of physically counting the entire inventory available, so as to quickly have an accurate estimate of the inventory available without causing a stop to the day to day working as is the case with physically counting every unit.

The Pareto principle (also known as the 80/20 rule, the law of the vital few, or the principle of fac-tor sparsity) states that, for many events, roughly 80% of the effects come from 20% of the causes.

Weighted moving averages assign a heavier weighting to more current data points since they are more relevant than data points in the distant past. The sum of the weighting should add up to 1 (or 100 percent).