MT437 Unit 4 Slotting Analysis Example

Reviewed by Chester Goodwin, MBA Strategic Warehouse Management Purdue University Global Free custom sample in 24 to 48h

The 1,440 parts in a composite auto parts distribution center's fast zone, twelve aisles of 120 locations five shelf levels high, are ranked by pick frequency and reslotted in this MT437 Unit 4 slotting analysis. Thirteen weeks of history supply 312,000 order lines: the top 10 percent of parts draw 48.8 percent of lines and the top fifth 63.6 percent. Current slotting by vendor line code scatters fast movers. The proposal fills aisles 1 and 2 with the 240 busiest parts, carrying 59.6 percent of lines, at levels two and three in double-width locations. A simulation of 20,000 tours cuts the average from about 955 feet to 767, the golden-zone share of picks rises from about 40 to 78 percent and replenishment trips fall from about 420 to 270 a week. Petersen and Aase support it. Purdue Global MT 437 assigns this analysis in the BS in Business Administration.

CourseMT437 Strategic Warehouse Management
UnitUnit 4
Paper typeSlotting analysis
LengthAbout 900 words, 6 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramBS in Business Administration
UpdatedOctober 2026

Free sample paper for MT437 Unit 4

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Busiest Parts First and at Waist Height: An MT437 Unit 4 Slotting Analysis of 1,440 Parts

[Student Name]

Purdue University Global

MT437: Strategic Warehouse Management

Unit 4 Slotting Analysis

[Instructor Name]

[Date]

Lookout Parts Supply's zone, parts and pick history are composite; tour lengths come from a simulation of 20,000 tours described below, and the sources cited are real.

What this part is doingStating the ranking basis and the result in the lead tells the grader the slotting follows from measured demand.
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The Zone

The zone holds 1,440 parts in twelve aisles of 120 locations each, five shelf levels high. Aisle 1 is nearest the packing station; aisle 12 is farthest. Each aisle is about 100 feet long, and pickers follow a serpentine route, entering each aisle they need from one end and leaving from the other.

Ranking by Pick Frequency

Parts are ranked by the number of order lines they generated over thirteen weeks, not by units shipped or dollar value, because each line is a trip to a location. Demand is very uneven. The top 10 percent of parts, 144 of them, drew 48.8 percent of the 312,000 lines. The top fifth drew 63.6 percent. The median part was picked about eight times a week, while the busiest, a ceramic brake pad set, was picked more than 300 times a week.

The Current Slotting

Parts are slotted today by vendor line code, so all of one vendor's brake parts sit together, then the next vendor's, regardless of how often each is picked. The effect is close to random placement with respect to pick frequency: fast movers are scattered across all twelve aisles and all five levels, and only about 40 percent of picks come from levels two and three, the golden zone between knee and shoulder height where picking is fastest.

The Proposed Slotting

The proposal fills aisles 1 and 2 with the 240 busiest parts, which carry 59.6 percent of lines. The next tiers fill aisles 3 to 6, and the slowest parts fill aisles 7 to 12. Within each aisle, the fastest parts take levels two and three; the slowest go to the bottom and top. The 240 busiest parts also get double-width locations, so each holds about twice the stock and needs replenishing half as often.

Two aisles now hold three of every five picks, so most tours never need to go past the third aisle.

What this part is doingStating the concentration created by the new slotting explains why the tour length falls.
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Tour Length

Tour length was estimated by simulating 20,000 tours of ten zone lines each, a typical share of a store order. Under current slotting, each line falls in any aisle with equal chance, so a tour visits about seven aisles and often reaches the far end of the zone; the average tour is about 955 feet. Under the proposed slotting, about six of ten lines fall in aisles 1 and 2, so tours visit fewer aisles and turn back sooner; the average tour falls to about 767 feet, a cut of about 20 percent.

Across 182 tours a night, that saves about 34,300 feet of walking, about 3.3 picker hours a night at 175 feet a minute, roughly 980 hours a year. At $24.10 an hour loaded, that is about $23,600 a year. Petersen and Aase (2004) found that class-based storage of this kind, combined with a sensible route, gives most of the travel saving available from storage policy, and the simulation is consistent with that.

Golden-Zone Share

With the fastest parts at levels two and three in every aisle, the share of picks taken from the golden zone rises from about 40 percent to about 78 percent. Fewer picks from the floor and top shelf mean less bending and reaching, which speeds each pick and lowers the risk of strain injuries.

Replenishment Trips

Replenishment trips fall because the busiest parts have larger locations. The top 240 parts average about 75 units a week each. In today's single locations, holding about 60 units, they need about 300 replenishment trips a week; in double-width locations, about 150. The other 1,200 parts need about 120 trips a week either way. Total trips fall from about 420 to about 270 a week, about 36 percent.

Why Rank by Lines, Not Units

A part shipped in cases of twenty may move many units while being picked rarely, and a part shipped singly may be picked constantly. Since each pick is a trip to a location, the walking a slotting plan saves depends on how often a location is visited, not how many units leave it. Ranking by units would have placed several bulk-pack parts in the fast aisles where they would save little walking, and pushed out small parts that are picked one at a time all night.

Cost of the Change

Re-slotting means physically moving 1,440 parts and updating their locations in the warehouse system, about 6 minutes a part, about 144 hours, or about $3,500 of labor, plus about $1,500 for new labels. It would be done over two weekends.

Keeping the Slotting Current

Pick frequency changes with the seasons, as batteries surge in winter and wipers in spring. The ranking should be rerun each quarter and the busiest parts moved only when they change tiers. De Koster et al. (2007) note that storage assignment loses its value as demand drifts, and Frazelle (2016) recommends a regular re-slotting schedule rather than a one-time project.

Recommendation

Re-slot the zone by pick frequency over two weekends, give the busiest 240 parts double-width locations at waist height and rerun the ranking each quarter.

What this part is doingEnding with a quarterly rerun shows the analysis plans for demand to change.
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References

De Koster, R., Le-Duc, T., & Roodbergen, K. J. (2007). Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 182(2), 481-501. https://doi.org/10.1016/j.ejor.2006.07.009

Frazelle, E. H. (2016). World-class warehousing and material handling (2nd ed.). McGraw-Hill Education.

Petersen, C. G., & Aase, G. (2004). A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics, 92(1), 11-19. https://doi.org/10.1016/j.ijpe.2003.09.006

MT437 Unit 4 instructions, in plain terms

Unit 4 asks students to reassign parts to storage locations so that picking takes less time and effort. Instructors grade the ranking basis first: parts should be ranked by how often their locations are visited, usually order lines, rather than by units or dollar value. The analysis should show how uneven demand is, describe the current slotting and its effect, and set out the proposed assignment by aisle and level. Results should be measured before and after: tour length or travel distance, the share of picks from the most convenient levels and replenishment trips. The cost of re-slotting and a plan to keep the slotting current as demand shifts should be included. Plan drawings of both layouts and a ranked list are standard.

Inside the MT437 Unit 4 example

This example describes the zone and its routing first. Parts are ranked by order lines, and the concentration of demand is quantified. The current slotting by vendor code is shown to place picks almost at random. The proposal assigns tiers to aisles and the fastest parts to waist height with double-width locations, under a highlighted line on how two aisles now hold three of every five picks. Tour length is estimated by simulation, with Petersen and Aase on class-based storage. Golden-zone share and replenishment trips are computed. A section explains why lines rather than units decide the ranking. The cost of re-slotting follows, and a section on keeping it current cites De Koster and colleagues and Frazelle.

MT437 Unit 4 rubric: what earns full points

Slotting analyses in MT437 are graded first on the ranking basis. Ranking by units or dollars instead of pick frequency places the wrong parts in the best locations. Rubrics reward quantifying how concentrated demand is. Credit goes to measuring results before and after, especially tour length, rather than asserting improvement. Placing fast movers at the most convenient levels, not only in the nearest aisles, shows attention to the pick itself. Considering replenishment, which larger locations for fast movers reduce, earns depth marks. Costing the change and planning for re-slotting as demand shifts shows practicality. Plan drawings, a ranked list and a results table make the analysis checkable.

MT437 Unit 4 help: mistakes that cost points

The most common weak slotting analysis moves fast parts closer to the front without measuring how much walking it saves. Another frequent error ranks parts by sales volume in units, which can push bulk-pack parts into prime locations. Students often ignore shelf height, though bending and reaching add time to every pick. Replenishment is rarely considered, so fast parts end up in small locations that need refilling constantly. Many analyses treat slotting as a one-time project. Before submitting, compute the share of lines your proposed fast aisles would carry. If it is not much higher than their share of locations, the slotting has not concentrated the walking enough to matter.

Get an MT437 Unit 4 example written to your instructions

Attach whatever pick history or item list accompanies Unit 4, together with any location map and the rubric. What arrives is a composite slotting analysis that ranks by lines picked, states its assignment rules, estimates tour length under a named routing method and checks refill trips. It is free as a first custom sample, delivered in 24-48h. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

More MT437 papers and BS in Business Administration samples

MT437 Unit 4 questions, answered

Why rank by lines picked rather than units sold?

Travel happens once per line, however many units that line holds. A part sold by the case in large quantities may be picked only a few times, while a small item bought one at a time may be picked constantly. Ranking by lines puts the parts that generate trips closest to the start of the pick path, which is where the walking savings come from.

Do I need a simulation to estimate travel?

Not necessarily. A simpler approach weights each location's distance from the pack area by its pick frequency and compares totals before and after. That works as an index, though it overstates savings when pickers collect many lines per trip. If your course has covered routing methods, a tour-based estimate is stronger. Either way, state the assumptions so the grader can follow them.

What is the golden zone?

It is the band of shelf height between roughly waist and shoulder, where picking needs no bending or reaching. Placing each aisle's fastest items there shortens every pick by a few seconds and reduces strain. In a slotting paper it is a second lever after distance, and a sentence estimating the time saved per pick usually strengthens the analysis.

Where can I find a free MT437 Unit 4 sample paper?

The complete MT437 Unit 4 analysis is here, reslotting 1,440 auto parts by pick frequency and measuring tour length before and after.

How much shorter are tours in the MT437 Unit 4 sample?

About 20 percent, from roughly 955 feet to 767 a tour, saving about 34,300 feet of walking across 182 tours a night.