Monthly aggregate production plan


Problem:

Jerry is production manager for the ProtoPlastics Company. They make two major items – widgets and gizmos. Demand history, by month, for the last two years is given. You have recently been hired at Proto, and Jerry has asked you to plan production for the next year. It takes a worker two days to make a widget and three days to make a gizmo. Currently, there are 32 workers at the plant. To hire a new worker costs $700, and to lay off an existing worker costs $1000. Workers are paid $2000 per month. A widget costs $250 to make, and a gizmo costs $380. The inventory-cost carrying rate for Proto is 36% per year. Backorders are not allowed. Develop a monthly aggregate production plan and work-force levels for months 25 through 30.

                               Year 1                                      Year 2

Month         Widget          Gizmos           Month             Widget            Gizmos

1                   101                  200                  13                    102                  222

2                    97                   197                  14                    102                  220

3                    94                   196                  15                    97                   225

4                   102                  200                  16                    110                  222

5                   101                  202                  17                    92                   227

6                    92                   209                  18                    102                  228

7                    97                   207                  19                    110                  232

8                    91                   216                  20                    92                   234

9                   103                  212                  21                    102                  242

10                  92                   220                  22                    107                  236

11                  97                   216                  23                    103                  241

12                  91                   218                  24                    91                   239


Hint: Use Double Exponential Smoothing for the forecasting part with α=β=0.1

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