Answer:
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Answer:
Assume: only one of the ware house expansion projects can be implemented and suppose that, if test marketing of the new product is carried out, the advertising campaign also must be conducted and vice versa. Also suppose that the purchase of new equipment cannot be undertaken unless the basic research or the extensive warehouse expansion are implemented.
Formulate the corresponding model for maximizing the net present value subject to the restrictions stated above
Yi (1 if investment alternative is selected, o otherwise)
i = 1, 2, 3, 4, 5, 6
Max Z = $4,000y1 + 6,000y2 + 10,500y3 + 4,000y4 + 8,000y5 + 3,000y6
∴ NPV = 17,500
Answer:
≈ 9644 quantity of card
Explanation:
given data:
n = 4 regions/areas
mean demand = 2300
standard deviation = 200
cost of card (c) = $0.5
selling price (p) = $3.75
salvage value of card ( v ) = $ 0
The optimal production quantity for the card can be calculated using this formula below
= <em>u</em> + z (0.8667 ) * б
= 9200 + 1.110926 * 400
≈ 9644 quantity of card
First we have to find <em>u</em>
u = n * mean demand
= 4 * 2300 = 9200
next we find the value of Z
Z = (
)
= ( 3.75 - 0.5 ) / 3.75 = 0.8667
Z( 0.8667 ) = 1.110926 ( using excel formula : NORMSINV (0.8667 )
next we find б
б = 200
= 400
Answer:
Forecast and planning
Explanation:
An anticipatory model is a model under which market forecast determines the production of products by the manufacturer, and purchases by retailers also determined by forecasts and promotional plans. Since the forecasts are wrong most of the times, anticipatory model usually leads to differences in the actual production of the firms and what they initially planned to produce.
Anticipatory Model is a risky model because anticipation of future events always determines the work to do by the firm.
On the contrary, the Responsive Business Model does not depend on forecasts, but ensure that what to be done are adequately planned and information among firms in the supply chain are properly exchanged. This makes the model not to be risky and ensure doing more than what has already been planned is avoided. Therefore, the aim of the responsive model which also known as Pull Model is to eliminate reliance on forecast.
The major reason the Responsive Model has become popular in supply chain collaborations is that it allows for the customization of products on smaller orders by customers. However, the Anticipatory Model does not give customers any choice or power but to buy or not buy.