Abstract
The inventory models discussed in the previous chapters assumed a single item being managed. Inventory managers at warehouses and retail shops manage a large number of items in their inventory. Inventory decisions – such as timing of replenishment orders, determining order quantities – are not made for each item independently. Decisions are often made jointly for several items managed at one location. Such decisions may be constrained by either the value of inventory they can hold in stock, or the availability of space to stock the items in their warehouse, or some other similar scarce resource. In this chapter, we discuss multi-item inventory models that are subject to one or more resource constraints such as budget, space, or number of orders. We also discuss methods of treating inventory problems that are subject to more than one constraint. Later in this chapter, we discuss another point of interest to inventory managers – that of optimizing the inventory costs by replenishing jointly to derive the benefits of economies of scale.
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Notes
- 1.
This is the standard technique to determine the maxima or minima in multivariable calculus.
- 2.
These costs are referred as the Major Cost and the Minor cost (or line cost) by Silver et al. (1998).
References
Muckstadt, J. A., & Sapra, A. (2010). Principles of inventory management: When you are down to four, order more, springer series in operations research and financial engineering. Ithaca: Springer Science.
Nahmias, S. (2005). Production and operations analysis (5th ed.). Boston: McGraw-Hill International Edition.
Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory management and production planning and scheduling (3rd ed.). New York: Wiley.
Srinivasan, G. (2010). Quantitative models in operations and supply chain management. New Delhi: PHI Learning Pvt. Ltd.
Vrat, P. (2014). Materials management: An integrated systems approach. New Delhi: Springer India.
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Appendix 7A: Using GOAL SEEK to Determine Lagrangean Multiplier
Appendix 7A: Using GOAL SEEK to Determine Lagrangean Multiplier
An easier method to find θ, the Lagrangean multiplier, is to use the GOAL SEEK function in MS Excel. The procedure for (explained with reference to space constraint, with three products) this is as follows. Set up an excel spreadsheet with the columns as shown in Fig. 7.1.
Next, create the following rows to compute the EOQ and the space requirement. The formula to compute EOQ for each of the three products is as given below:
Cell | Formula |
---|---|
K15 | Round(SQRT((2*K8*K9)/(K10*K12)),0) |
L15 | Round(SQRT((2*L8*L9)/(L10*L12)),0) |
M15 | Round(SQRT((2*M8*M9)/(M10*M12)),0) |
The formulae to compute the space requirement for each of the items are shown in Fig. 7.2. The formulae for these are as given below:
Cell | Formula |
---|---|
K16 | K15*K11 |
L16 | L15*L11 |
M16 | M15*M11 |
We are now ready to set up the GOAL SEEK area which needs to be set up as shown in Fig. 7.3.
The formulae to be used in the GOAL SEEK area are given below. The last one is the total space requirement for all three products put together
Cell | Formula |
---|---|
K20 | SQRT((2*$K$8*$K$9)/(($K$12*$K$10) + ($N20*$K$11))) |
L20 | SQRT((2*$L$8*$L$9)/(($L$12*$L$10) + ($N20*$L$11))) |
M20 | SQRT((2*$M$8*$M$9)/(($M$12*$M$10) + ($N20*$M$11))) |
O20 | ((K20*K$11) + (L20*L$11) + (M20*M$11))/2 |
The GOAL SEEK function can be used as follows. Navigate to Data > What-if-Analysis > Goalseek in MS Excel when a GOAL SEEK window pops up. In the pop-up window, set the cell to O$20 (space constraint) and the value to 3500 (cubic feet) by changing the cell which has the θ Theta value. This is shown in Fig. 7.4
The θ theta value (Lagrangean multiplier) that satisfies the constraint is displayed in cell N20.
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Shenoy, D., Rosas, R. (2018). Multi-item Inventory Models Subject to Constraints. In: Problems & Solutions in Inventory Management . Springer, Cham. https://doi.org/10.1007/978-3-319-65696-0_7
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