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This model included variables for production, ending inventory, demand allocation and then briefly, shipments between facilities as well as backlog/unmet demand. Extend this model to

This model included variables for production, ending inventory, demand allocation and then briefly, shipments between facilities as well as backlog/unmet demand. Extend this model to include the concern of tracking inventory and balance of parts (P1, P2, and P3) used in the manufacturing process. The data you'll need is:

PRODUCT FACILITY QTY
M1 F1 5
M2 F1 5
M3 F1 7
M1 F2 3
M2 F2 5
M3 F2 5
SHIP_ID PART FACILITY DELIV_DATE TIM_PERIOD QTY
S12 P1 F1 1/1/21 1 15
S13 P1 F1 1/5/21 1 10
S14 P2 F1 1/8/21 2 15
S15 P3 F1 1/3/21 1 25
*** Before data feed to LP/MIP model, there would need to be an aggregation of ship_ids for a given part in a tim_period
*** Example: Shipments S12 & S13 are both for P1 arriving F1 in TIM_PERIOD 1 so the feed would be 25 units

PRODUCT PART QTY
M1 P1 1
M1 P2 1
M1 P3 1
M2 P1 3
M2 P3 1
M3 P1 1
M3 P2 1
M3 P3 1

A. Write high-level perspective of the interest. SUPPLY = DEMAND => ??? b. What variable(s) would need to be added for this extension other than below? PROD(time, prod, loc) = units of product made at location in a time period PROD(1, M1, F1) = units of product M1 made at F1 in period 1 c. What constraint(s) would need to be added for this extension?

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