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Data Analysis for a business making Essay Example

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Data Analysis for a business making

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That the decision variables are only those that can really be controlled and they should be working for the interest of the company for taking the profits to maximized level, and also keeping the costs to the minimum level as that will be the key for the maximum profits. The company must also make sure that the objective functions are properly executed as they will be the important indicators for the success of the maximum productivity. The optimal solution will require the client to follow a specific diet each day which will maximize the chances and objectives which he intends to achieve. The chocolate of 50 grams and sugar of 100 grams might be the best diet for him through which he can meet his aims. This will also incur him the minimum cost, as his problem is more intense but it’s the job of his doctor to suggest the prescriptions that can cost him less but offer him more. Yes, the resources are fully utilized and the materials before being utilized were in stable form and that is why the product quality will also be fine. The only source that was not utilized properly was related to the labor. The management experience of lesser labor doing more work that cannot be handled by them might be the one problem that caused the lack of the productivity that was targeted earlier but could not be made. The labor part is not a minimum requirement as it is the driving force behind the productivity and this is the reason that the labor amount or quantity must be increased in the future, i. there should be labor surplus and not the deficit. The slack of labor might also be considered as bigger constraint in the productivity which will be affected if the constraint is not avoided in the initial threat. The increase in the price will definitely make an impact on the optimal solution in case it is included in the optimal solution plan. If the item is not included in to the plan and solution is already providing maximum savings to the client then there is no need to think about its impact on the optimal solution or the objective functions. Shadow price is actually the change in the objective value of the optimal solution of the optimization problem. The cause might be the different constraints that were left to be removed due to the relaxation taken by the officials. The falling shadow price can be a serious concern for the engineers as the 0 price will mean the machine shutting down. The consultant dietician must be performing his research on what he has

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