John E. Boylan - Intermittent Demand Forecasting

Здесь есть возможность читать онлайн «John E. Boylan - Intermittent Demand Forecasting» — ознакомительный отрывок электронной книги совершенно бесплатно, а после прочтения отрывка купить полную версию. В некоторых случаях можно слушать аудио, скачать через торрент в формате fb2 и присутствует краткое содержание. Жанр: unrecognised, на английском языке. Описание произведения, (предисловие) а так же отзывы посетителей доступны на портале библиотеки ЛибКат.

Intermittent Demand Forecasting: краткое содержание, описание и аннотация

Предлагаем к чтению аннотацию, описание, краткое содержание или предисловие (зависит от того, что написал сам автор книги «Intermittent Demand Forecasting»). Если вы не нашли необходимую информацию о книге — напишите в комментариях, мы постараемся отыскать её.

INTERMITTENT DEMAND FORECASTING
The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting
Intermittent Demand Forecasting No prior knowledge of intermittent demand forecasting or inventory management is assumed in this book. The key formulae are accompanied by worked examples to show how they can be implemented in practice. For those wishing to understand the theory in more depth, technical notes are provided at the end of each chapter, as well as an extensive and up-to-date collection of references for further study. Software developments are reviewed, to give an appreciation of the current state of the art in commercial and open source software.
“Intermittent demand forecasting may seem like a specialized area but actually is at the center of sustainability efforts to consume less and to waste less. Boylan and Syntetos have done a superb job in showing how improvements in inventory management are pivotal in achieving this. Their book covers both the theory and practice of intermittent demand forecasting and my prediction is that it will fast become the bible of the field.” —
, Professor, University of Nicosia, and Director, Institute for the Future and the Makridakis Open Forecasting Center (MOFC).
“We have been able to support our clients by adopting many of the ideas discussed in this excellent book, and implementing them in our software. I am sure that these ideas will be equally helpful for other supply chain software vendors and for companies wanting to update and upgrade their capabilities in forecasting and inventory management.”—
, VP, Research and Development, Blue Yonder.
“As product variants proliferate and the pace of business quickens, more and more items have intermittent demand. Boylan and Syntetos have long been leaders in extending forecasting and inventory methods to accommodate this new reality. Their book gathers and clarifies decades of research in this area, and explains how practitioners can exploit this knowledge to make their operations more efficient and effective.”—
, Professor Emeritus, Rensselaer Polytechnic Institute.

Intermittent Demand Forecasting — читать онлайн ознакомительный отрывок

Ниже представлен текст книги, разбитый по страницам. Система сохранения места последней прочитанной страницы, позволяет с удобством читать онлайн бесплатно книгу «Intermittent Demand Forecasting», без необходимости каждый раз заново искать на чём Вы остановились. Поставьте закладку, и сможете в любой момент перейти на страницу, на которой закончили чтение.

Тёмная тема
Сбросить

Интервал:

Закладка:

Сделать

Equation (3.2)is an exact calculation of the fill rate. It can be used to find the historical fill rates, providing that we maintain records of the demands in each period, and the backorders in each period. Suppose that, for a particular SKU, the average demand per period was for 10 units and the average backorder quantity per period was one unit. Then, it follows immediately that the historical fill rate for that SKU was картинка 293.

Now suppose that we wish to experiment with different OUT levels. Equation (3.2)is not helpful because, even if the average demand per period remains unchanged, the equation does not reveal the effect on backorders of changing the OUT level ( картинка 294). To assess the effect of different OUT levels ( картинка 295) on the fill rate ( the formula given in Eq 33is often used 33 where is - фото 296), the formula given in Eq. (3.3)is often used.

(3.3) where is the demand over the protection interval and - фото 297

where картинка 298is the demand over the protection interval ( картинка 299) and картинка 300is the long‐run average demand per (single) period. We shall refer to this as the traditional fill rate calculation.

As we shall see later, this traditional fill rate calculation suffers from some drawbacks, whether demand is intermittent or not. However, it is often used in practice, and so it is important to understand its calculation, including its flaws and how they can be rectified.

To illustrate the traditional calculation of fill rates, we now look at another example. The review interval is set as one week and the lead time as two weeks. The distribution of demand is similar to the example in Table 3.2, except that it is lumpier, with a spike of demand at four units, as shown in Table 3.7.

Table 3.7 Distribution of lumpy demand over one week.

Demand Probability
0 0.5
1 0.3
4 0.2
5 or more 0.0

Table 3.8 Traditional fill rate calculation ( картинка 301and картинка 302; картинка 303).

Demand Probability Not satisfied Expected Not satisfied Expected
картинка 304 картинка 305) картинка 306 картинка 307 картинка 308 картинка 309
1 0.225 0 0.000 0 0.000
2 0.135 0 0.000 0 0.000
3 0.027 0 0.000 0 0.000
4 0.150 0 0.000 0 0.000
5 0.180 0 0.000 0 0.000
6 0.054 0 0.000 0 0.000
8 0.060 1 0.060 0 0.000
9 0.036 2 0.072 1 0.036
12 0.008 5 0.040 4 0.032
Total 0.172 Total 0.068
Fill rate ( картинка 310) 84.4% Fill rate ( картинка 311) 93.8%

Continuing this example, we summarise in Table 3.8the probabilities of demand over a protection interval of three weeks (first two columns) and traditional fill rate calculations for OUT levels of seven units (middle two columns) and eight units (final two columns).

The first column of Table 3.8lists all of the possible total demands over three weeks, given possible demands of zero, one, and four units in one week. The possibility of zero demand over the whole three weeks has not been included. It is not relevant from a fill rate perspective because there is no demand to be fulfilled. Some demand values are omitted, such as seven, as there is no combination of three weeks of demand, in this example, that can give this number. The detailed calculations for the second column are not given but they follow exactly the same approach as in Table 3.3, where all combinations of demands are identified, and probabilities are calculated accordingly.

The third and fifth columns of Table 3.8show how much demand would not be satisfied for the specified OUT levels. For example, for an OUT level of seven units, a demand of six units can be fully satisfied, but demands of eight, nine, or twelve units will be only partly satisfied, with unsatisfied demand of one, two, and five units, respectively.

The fourth and sixth columns contain the expected shortages, corresponding to different demand values. These expected shortages are calculated by multiplying the number of items not satisfied (third and fifth columns) by the probability of demand over the protection interval (second column). The values in the fourth and sixth columns are summed to give the total expected shortages for OUT levels of seven and eight units.

The final calculation of fill rates uses Eq. (3.3). The mean value, is found as a weighted average of the probabilities of demand in a single - фото 312, is found as a weighted average of the probabilities of demand in a single period (see Table 3.7). The calculation is: This value and the overall values for expected unsatisfied demand per period - фото 313. This value, and the overall values for expected unsatisfied demand per period are substituted into Eq. (3.3)to give the fill rates of 84.4% and 93.8% for OUT levels of seven and eight units, respectively.

Читать дальше
Тёмная тема
Сбросить

Интервал:

Закладка:

Сделать

Похожие книги на «Intermittent Demand Forecasting»

Представляем Вашему вниманию похожие книги на «Intermittent Demand Forecasting» списком для выбора. Мы отобрали схожую по названию и смыслу литературу в надежде предоставить читателям больше вариантов отыскать новые, интересные, ещё непрочитанные произведения.


Отзывы о книге «Intermittent Demand Forecasting»

Обсуждение, отзывы о книге «Intermittent Demand Forecasting» и просто собственные мнения читателей. Оставьте ваши комментарии, напишите, что Вы думаете о произведении, его смысле или главных героях. Укажите что конкретно понравилось, а что нет, и почему Вы так считаете.