ADM 3301 Lecture Notes - Lecture 16: Carrying Cost, Full-Time Equivalent, Linear Programming

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> trial and error using spreadsheet and graphs: very popular and easy to understand but does not guarantee an optimal solution ! > mathematical models: linear programming, mixed integer programming. 2. determine capacities available for each period (regular time, overtime, etc. ) 3. identify company or departmental policies that are pertinent (i. e. maintain reasonable stable workforce ) 4. determine unit costs for available capacity options (cost of regular time, overtime, etc. ) 5. develop alternative plans and compute total cost for each. > planners for a company that makes several models of skateboards are about to prepare the aggregate plan that will cover six periods. They have assembled the following information about the forecast and the costs: > they now want to evaluate a plan that calls for a steady rate of regular-time (level) output, mainly using inventory to absorb the uneven demand but allowing some backlog. The is no on hand inventory in the first period, and the planned ending inventory is zero.

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