Asked by Rheagan Fischette on Apr 25, 2024

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Machines A, B, C, and D have been in use for several years, while machine E is new. The following table provides data on the value of production of each job when performed on a specific machine.
a. Determine the set of assignments that maximizes production value.
b. What is the total production value of your assignments?
c. Which machine should be retired (i.e., gets no assignment)?
d. If they do retire one machine, will they be as profitable without it as with it? Explain.  Machine  Job  A  B  C  D  E 12729283040230323134463332529263742931242828\begin{array} { | l | l | l | l | l | l | } \hline & { \text { Machine } } \\\hline \text { Job } & \text { A } & \text { B } & \text { C } & \text { D } & \text { E } \\1 & 27 & 29 & 28 & 30 & 40 \\ 2 & 30 & 32 & 31 & 34 & 46 \\3 & 33 & 25 & 29 & 26 & 37 \\4 & 29 & 31 & 24 & 28 & 28\\\hline\end{array} Job 1234 Machine  A 27303329 B 29322531 C 28312924 D 30342628 E 40463728

Production Value

The sum of the cost of materials, labor, and overhead spent to create a product.

Assignment

In business and operations management, it refers to the allocation of tasks, resources, or responsibilities to specific people or groups.

Machine Retirement

The process of removing a machine or equipment from active service due to obsolescence, inefficiency, or wear and tear.

  • Formulate strategies to minimize total production value or cost in assignment problems.
  • Ascertain the best allocation of resources to enhance efficiency or reduce the time required for completion.
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Abigail FloresApr 30, 2024
Final Answer :
NOTE: students need to create an opportunity loss table with a dummy Job row. (a) The optimal assignment is Job 1→D, Job 2→E, Job 3→A, and Job 4→B. (b) The cost of this assignment is 140. (c) C gets no assignment, and should be the machine retired. A‾B‾C‾D‾E‾ Row Total  Job 1 000101 Job 2 000011 Job 3 100001 Job 4 010001 Job 5 0‾0‾1‾0‾0‾1‾ Column  Total 111115 Total Cost 140\begin{array} { | l | c | c | c | c | c | c | } \hline & \underline { \mathrm { A } } & \underline { \mathrm { B } } & \underline { \mathrm { C } } & \underline { \mathrm { D } } & { \underline { E } } & \text { Row Total } \\\hline \text { Job 1 } & 0 & 0 & 0 & 1 & 0 & 1 \\\hline \text { Job 2 } & 0 & 0 & 0 & 0 & 1 & 1 \\\hline \text { Job 3 } & 1 & 0 & 0 & 0 & 0 & 1 \\\hline \text { Job 4 } & 0 & 1 & 0 & 0 & 0 & 1 \\\hline \text { Job 5 } & \underline { 0 } & \underline { 0 } & \underline { 1 } & \underline { 0 } & \underline { 0 } & \underline { 1 } \\\hline \text { Column } & & & & & & \\\text { Total } & 1 & 1 & 1 & 1 & 1 & 5 \\\hline \text { Total Cost } & 140 & & & & & \\\hline & & & & & & \\\hline\end{array} Job 1  Job 2  Job 3  Job 4  Job 5  Column  Total  Total Cost A001001140B000101C000011D100001E010001 Row Total 111115 (d) Taking away what was arguably the least productive machine still reduces the options of the firm, and alters the opportunity costs. They cannot be better off without the machine.  Assignments  Shipments  A  B  D  E  Row  Total  Job 1 00101 Job 2 00011 Job 3 10001 Job 4 01001 Column  Total 11114 Total Cost 140\begin{array} { | l | c | c | c | c | c | } \hline & { \text { Assignments } } \\\hline \text { Shipments } & \text { A } & \text { B } & \text { D } & \text { E } & \begin{array} { c } \text { Row } \\\text { Total }\end{array} \\\hline \text { Job 1 } & 0 & 0 & 1 & 0 & 1 \\\hline \text { Job 2 } & 0 & 0 & 0 & 1 & 1 \\\hline \text { Job 3 } & 1 & 0 & 0 & 0 & 1 \\\hline \text { Job 4 } & 0 & 1 & 0 & 0 & 1 \\\hline \text { Column } & & & & & \\\hline \text { Total } & 1 & 1 & 1 & 1 & 4 \\\hline \text { Total Cost } & 140 & & & & \\\hline\end{array} Shipments  Job 1  Job 2  Job 3  Job 4  Column  Total  Total Cost  Assignments  A 00101140 B 00011 D 10001 E 01001 Row  Total 11114