This exercise was also contributed by Dr. Rick Wilson of Oklahoma State University. The following simple scenario

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This exercise was also contributed by Dr. Rick Wilson of Oklahoma State University. The following simple scenario mimics the “Black Book” described in a Business Week article accessed February 2013) about Coca- Cola’s production of orange juice. Create an appropriate LP model for this scenario. For the next production period, there are five different batches of raw orange juice that can be blended together to make orange juice products SunnyQ, GlowMorn, and OrenthalJames. In creating the optimal blend of the three products from the five different batches, an LP model should seek to maximize the net of the sales price per gallon of the products less the assessed per gallon cost of the raw juice. The 5 raw batches of orange juice are described here. Brix is a measure of sweetness, pulp, available stock, and cost—all self-explanatory:

Note that in order to make sure that the raw juice doesn’t get too “old” over time, one production requirement is that at least 50 percent of each batch’s available stock must be used in blending the three orange juice products (obviously, more than what is available cannot be used). From a product perspective, there must be at least 100 gallons of SunnyQ blended, and at least 125 gallons each of GlowMorn and OrenthalJames. Likewise, the projected future demand for the products indicates that in this period, there should be a maximum of 400 gallons of SunnyQ, a maximum of 375 gallons of GlowMorn, and a maximum of 300 gallons of OrenthalJames produced. Also, when blending the products from the five batches, an individual batch can provide no more than 40 percent of the total amount of a given product. This is to be enforced individually on each product. Attributes of the three products include sales price, the maximum average brix of the final mixed product, the minimum average brix of the final mixed product, and the maximum average pulp content. In the three “average” requirements, this implies the weighted average of

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Business Intelligence And Analytics Systems For Decision Support

ISBN: 9781292009209

10th Global Edition

Authors: Efraim Turban, Ramesh Sharda, Dursun Delen, Pearson Education Limited, Dennis G. Zill

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