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Flashcard 7734843804940

Tags
#deep-learning #embeddings
Question
With the similar idea of how we get word embeddings, we can make an analogy like this: a word is like a product; a sentence is like a sequence of [...] shopping sequence;
Answer
ONE customer’s

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With the similar idea of how we get word embeddings, we can make an analogy like this: a word is like a product; a sentence is like a sequence of ONE customer’s shopping sequence; an article is like a sequence of ALL customers’ shopping sequence

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Flashcard 7734846164236

Tags
#deep-learning #embeddings
Question
With the similar idea of how we get word embeddings, we can make an analogy like this: a word is like a product; an article is like a sequence of [...] shopping sequence
Answer
ALL customers’

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repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

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ea of how we get word embeddings, we can make an analogy like this: a word is like a product; a sentence is like a sequence of ONE customer’s shopping sequence; an article is like a sequence of <span>ALL customers’ shopping sequence <span>

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Flashcard 7734847999244

Tags
#deep-learning #embeddings
Question
With the similar idea of how we get word embeddings, we can make an analogy like this: a word is like a product; a [...] is like a sequence of ONE customer’s shopping sequence; an article is like a sequence of ALL customers’ shopping sequence
Answer
sentence

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Parent (intermediate) annotation

Open it
With the similar idea of how we get word embeddings, we can make an analogy like this: a word is like a product; a sentence is like a sequence of ONE customer’s shopping sequence; an article is like a sequence of ALL customers’ shopping sequence

Original toplevel document (pdf)

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Flashcard 7734849309964

Tags
#deep-learning #embeddings
Question
With the similar idea of how we get word embeddings, we can make an analogy like this: a word is like a product; a sentence is like a sequence of ONE customer’s shopping sequence; [...] is like a sequence of ALL customers’ shopping sequence
Answer
an article

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repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

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With the similar idea of how we get word embeddings, we can make an analogy like this: a word is like a product; a sentence is like a sequence of ONE customer’s shopping sequence; an article is like a sequence of ALL customers’ shopping sequence

Original toplevel document (pdf)

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Flashcard 7734850358540

Tags
#deep-learning #embeddings
Question
With the similar idea of how we get word [...], we can make an analogy like this: a word is like a product; a sentence is like a sequence of ONE customer’s shopping sequence; an article is like a sequence of ALL customers’ shopping sequence
Answer
embeddings

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repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
With the similar idea of how we get word embeddings, we can make an analogy like this: a word is like a product; a sentence is like a sequence of ONE customer’s shopping sequence; an article is like a sequence of ALL customers’ shopping

Original toplevel document (pdf)

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Flashcard 7734851407116

Tags
#deep-learning #embeddings
Question
With the similar idea of how we get word embeddings, we can make an analogy like this: [...] is like a product; a sentence is like a sequence of ONE customer’s shopping sequence; an article is like a sequence of ALL customers’ shopping sequence
Answer
a word

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
With the similar idea of how we get word embeddings, we can make an analogy like this: a word is like a product; a sentence is like a sequence of ONE customer’s shopping sequence; an article is like a sequence of ALL customers’ shopping sequence

Original toplevel document (pdf)

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The origins of lean production and logistics can be traced back in particular to the car company Toyota and its ingenious Toyota Production System, pioneered by people such as Kiichiro Toyoda (son of the company's founder), Taiichi Ohno and others during the 1930s and especially after World War II. In developing the Toyota Production System they drew heavily on the work of Ford and identified areas in the Ford model that could be improved. They also drew on the work of the American quality guru, W. Edwards Deming. In fact much of Deming's early work received a richer response in Japan than it did in the USA, and the Japanese were to enjoy significant competitive advantage as a result of their embracing of what came to be called total quality management (TQM).

Toyota sought to develop a production system where the emphasis was not on the efficiency of individual machines, but on total flows through a system. Significant emphasis was placed on quick machine turnovers, elimination of waste (known in Japanese as muda), even production flows, low levels of inventory, faster total process time and achieving total quality. Where many production systems are ‘push’ based, Toyota sought to develop a system where inventory is ‘pulled’ downstream through the system. This prevents stockpiling and inefficiency and is known as just-in-time (JIT) inventory replenishment (discussed further in Chapter 9), where inventory is kept to a minimum and replenished only as it is used. The Toyota Production System (TPS) was born and in particular it sought to eliminate waste (in the form of unnecessary inventory and inefficient processes) in seven key areas (discussing these areas gives us insights into much of the thinking behind lean production):

Overproduction – basically producing too much. In this instance some inventory ends up being held in a warehouse or other holding area. This is referred to as make-to-stock (MTS), as opposed to the more efficient make-to-order (MTO).
Waiting – poor process design and/or poor planning may result in work-in-progress inventory waiting until a machine or operator becomes available so that it can go through the next stage of production. Many aspects of the TPS philosophy also find application outside of manufacturing contexts. In the case of ‘waiting’ think, for example, of the inefficiencies that arise in some healthcare systems where patients have to wait in hospital, sometimes for days, for the appropriate doctor to examine them or read their test results.
Transportation – except in the case of products such as software, invariably most products have to be physically transported to the marketplace. In a sense this is non-value adding time with the freight just sitting on the truck. Again, adopting the TPS philosophy, one might try to think of ways in which value could be added to the product during this idle time. Just think, for example, of bananas ripening in transit. Another example concerns certain medical devices which have to be sterilised after production but before use. Some manufacturers have developed special packaging which allows chemicals to dissipate from the post-production sterilised product within the package over a fixed period of time. During this fixed period the devices can of course still be transported to the market, the only caveat is that the product is not opened until the due date.
Inappropriate processing – in some production systems sometimes all products may enjoy the same level of processing, even though this might only be required for some of the products. An example might be using a certain advanced type of packaging on all products, even though this might only be required in certain markets.
Unnecessary inventory – inventory has various costs associated with it which we will study in detail in Chapter 9. Suffice to note for now that holding unnecessary inventory just-in-case it may be required is costly and may also actually hide problems.
Unnecessary motion – in a poorly designed production system it may be the case that wor

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Article 7735572303116

AGILE SUPPLY CHAINS AND MASS CUSTOMISATION

Managing supply chains effectively is a complex and challenging task, due to the current business trends of expanding product variety, short product life cycles, increased outsourcing, globalisation of businesses and continuous advances in information technology.9 Indeed, we can add more factors to this list such as hyper competition in markets and increasing demands from customers. In recent years the area of risk in supply chains, whether from natural sources (for example disease in the food supply chain) or manmade sources (for example terrorism), is adding to the challenges in SCM (we will return to this growing and important area in Chapter 13). All of these disparate factors have led to a high level of volatility in demand for products. To mitigate such volatility another supply chain model has emerged, the agile supply chain. Pioneered by Professor Martin Christopher and colleagues at Cranfield University, and others, the agile supply chain is designed so as to cope with such volatility. According