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Submit two files: a word doc with the algebraic formulation and the answers and a spreadsheet with the model and Solver's solution. The Adler Machine Company is planning to add a new product to its line and wishes to hire some experienced machinists. The local union has advised them that machinists are categorized in one of three skill levels: expert, associate, and apprentice. An expert machinist has at least 10 years of experience and is expected to produce 20 units per day. An associate machinist must have at least 6 years of experience and can produce 16 units per day. An apprentice machinist must have at least 1 year of experience and must be able to produce 10 units per day. The union contract calls for wages of $75, $60, and $40 per hour for the three skill levels. Currently, there are 3 experts, 8 associate, and 11 apprentice machinists available for hire. Adler has budgeted $35,000 per (5-day, 35-hour) week for machinists’ wages. They would like to hire a crew of new machinists that will yield the highest output rate. To keep both the union and present employees happy, they need to ensure that the total level of experience of the workers hired represents a seniority level of at least 75 worker-years. a Formulate the linear program that determines the number of machinists of each type that should be hired. Describe the objective function for this LP. Must the decision variables be non-negative? b Create a spreadsheet with a table containing the appropriate values. Label each of the constraints and give the units of each resource represented. c Run Solver on your spreadsheet to obtain the optimal values for the decision variables in your Linear Programming Model. Answer the following questions, based on this (non-integer) solution: i How many units per week are produced, based on this solution? How many are made by experts? How many by associates and how many by apprentices? ii What is the total number of worker-years of experience with the crew suggested by the model solution? Would it be worth trying to negotiate with the union to set a lower requirement? iii How much of the weekly salary budget is paid to the crew members in the solution suggested by your model? iv Suppose a ninth associate machinist becomes available, would it be worthwhile to hire this individual, keeping in mind that the total salary budget is fixed? Explain. d Adjust the solution suggested by your model by making sure that the number of hires at each level is an integer (i.e., a whole number). Describe the differences between this new solution and the optimal one. Extra Credit: Briefly explain why your adjusted solution cannot result in a higher level of unit production.
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Hello sir, It seems that you want a clear algebraic LP formulation and a Solver-enabled spreadsheet that determines how many expert, associate, and apprentice machinists to hire to maximize weekly output under wage, availability, and seniority constraints. I'll write the LP (decision variables, objective function, and constraints in algebraic form), build the Excel model with labeled constraint rows and units, run Excel Solver to get the continuous optimum, report production by skill level, experience total, and wage usage, test the marginal value of an extra associate, and then produce an integer-adjusted solution with a short comparison and brief justification why it cannot beat the LP optimum. I'll use Excel Solver for optimization and show the Solver settings used. I'm an Excel and VBA specialist familiar with workforce models and Solver-based LPs (working on automated reports, dashboards, and constraint models). Portfolio: https://www.freelancer.com/portfolio-items/7981359-excel-and-vba-development I would be happy to discuss your project further. I look forward to hearing from you. Thank you!
$355 USD in 1 day
5.8
5.8

Your search is over! I offer a unique blend of skills, with 7+ years of software development experience under my belt. This has equipped me with a firm grasp on Excel, Mathematics and Operations Research ¬¬– seemingly complex factors in your project. These key skills will enable me to formulate the linear program you require and decipher the spreadsheet data to yield accurate results via Solver. Furthermore, my deftness in Statistical Analysis and profound knowledge in Machine Learning & AI can prove instrumental in evaluating the adjusted solution and explaining the underlying reasons, as highlighted in your ‘Extra Credit’. As a developer familiar with the intricacies of budget management, I will ensure sound allocation of wages while adhering to your fixed budget. Also, I offer an edge in data visualization through my expertise in technologies like SPSS and Tableau. I can craft easy-to-understand graphics and charts allowing you to assess the weekly production units, worker-years of experiences, and salary budget allocation at a glance. And yes , keeping my project deadlines well ahead is always my approach.
$20 USD in 7 days
5.5
5.5

Hi there, I just read your posting. It sounds like you need an expert in statistical analysis and engineering to formulate a linear optimization model for hiring machinists. I am a software engineer with 10+ years experience in data analysis and optimization. Developing mathematical models, using Solver for optimization problems, and providing detailed insights into manufacturing solutions is my niche. I can assist you in creating the necessary algebraic formulation, analyzing the constraints, and utilizing Solver effectively to determine the optimal hiring strategy for your machinists while ensuring budget compliance. Whether it involves assessing production capabilities or evaluating worker experience, my expertise will add significant value to your project. Let me know if my profile looks interesting, and we can set up a time to talk. Best regards, Elijah M.
$200 USD in 3 days
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