| Course | MT437 Strategic Warehouse Management |
|---|---|
| Unit | Unit 5 |
| Paper type | Pick method comparison |
| Length | About 860 words, 6 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | BS in Business Administration |
| Updated | October 2026 |
Free sample paper for MT437 Unit 5
One Method for the Night, Another for the Day: An MT437 Unit 5 Pick Method Comparison for Two Order Streams
[Student Name]
Purdue University Global
MT437: Strategic Warehouse Management
Unit 5 Pick Method Comparison
[Instructor Name]
[Date]
Lookout Parts Supply's order profiles and every time standard are composite; each method is timed with the same inputs, and the sources cited are real.
Two Order Streams
The night stream is store replenishment: about 46 store orders averaging 96 lines each, 4,416 lines a night, spread across 28 shelving aisles of 180 feet. Stores are loaded onto trucks in departure waves from about 2:00 to 5:00 in the morning.
The day stream is rush orders, often called hot shots: about 280 orders a day, averaging 1.4 lines, each promised to a store within 45 minutes because a mechanic is waiting for the part.
Common Inputs
Every method is timed with the same inputs, so the comparison reflects the method rather than the assumptions. Finding, picking and scanning a line takes 27 seconds. Walking with a cart averages 175 feet a minute. Each tour needs about 2 to 3 minutes to set up totes and paperwork. Picking time is therefore the same for every method, about 33.1 hours a night for 4,416 lines; the methods differ in walking, sorting and coordination.
Discrete Picking at Night
In discrete picking, one picker picks one store's order from start to finish. Each store's tour walks about 5,650 feet, so 46 tours walk about 24.8 hours a night. With 33.1 hours of picking and about 1.5 hours of setup, discrete picking needs about 59.4 hours a night.
Batch Picking at Night
In batch picking, one picker picks four stores' orders at once on a cart with four totes. A batch tour walks slightly farther, about 6,100 feet, because it visits more aisles, but it covers four orders, so about 12 tours walk about 7.0 hours. Sorting each line into the right store's tote adds about 4 seconds a line, about 4.9 hours. With setup, batch picking needs about 45.6 hours.
Zone Picking at Night
In zone pick-and-pass, the 28 aisles are divided into four zones, each with its own pickers, and each store's tote passes from zone to zone. Walking within zones totals about 25.4 hours, because each zone visit still covers much of the zone for a 96-line order. Handoffs add about 1.2 hours, and waiting for totes when zones are unevenly loaded adds about 1.4 hours. Zone picking needs about 61.1 hours, the most of the four.
Wave Picking at Night
In wave picking, stores are released in groups that match truck departures, and within each wave, orders are batched four to a cart. Labor is close to batch picking, about 45.8 hours, because the batches are slightly less efficient when limited to one truck's stores. But wave release changes something batch picking alone does not: totes for each truck are finished just before it loads, instead of early in the night. The 5.6 hours totes now wait in shipping lanes, recorded in Unit 2, would fall to under an hour.
Batching saves the walking; waves save the waiting at the dock, and the night stream needs both.
The Day Stream
Rush orders are a different problem. A single order of 1.4 lines takes about 6.8 minutes to pick and check by itself. Batching rush orders would save walking but make each order wait for others to arrive, risking the 45-minute promise. Zone picking would add handoffs to a one- or two-line order. Discrete picking by dedicated rush pickers, starting each order as it arrives, keeps the promise. At about 31.6 picker hours a day, the rush stream needs about three dedicated pickers across the daytime hours, with a fourth at the midday peak.
What the Comparison Assumes
The timings assume pickers are fully loaded with work and that the warehouse system can create batches and waves. The current system can batch orders but releases them all at the start of the night; wave release requires a configuration change the vendor has quoted at about $4,000. They also assume the conveyor keeps up with batched totes, which it can at today's volume but might not in battery season, when heavier totes slow the check station.
The Recommendation
At night, adopt wave picking with batches of four stores per cart within each truck wave. It saves about 13.6 hours a night against discrete picking, about $98,300 a year at $24.10 an hour over 300 nights, and cuts the dwell time in shipping lanes. By day, keep discrete picking for rush orders with three to four dedicated pickers, and give the rush bench a location inside the fast zone, as Unit 10 proposes.
De Koster et al. (2007) describe the choice of picking method as dependent on order size, the number of orders and service deadlines, and the two streams here sit at opposite ends of each. Petersen and Aase (2004) found batching among the most effective single changes for orders of many lines, while Frazelle (2016) notes that urgent single-line orders are best kept out of batches altogether.
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 5 instructions, in plain terms
The fifth unit asks students to compare order-picking methods for a warehouse's order profile and recommend one or more. Instructors check first whether the recommendation follows from the order profile the case supplies: number of orders, lines per order and service deadlines. Each method should be timed with the same inputs, so differences come from the method itself, separating walking, picking, sorting and coordination. Where order streams differ, as between large overnight replenishments and small urgent orders, each stream may need its own method. The comparison should note effects beyond labor, such as when orders are finished relative to truck departures. Assumptions about systems and equipment should be stated, and the recommendation priced in labor hours and dollars, with any setup cost for the warehouse system included.
How the MT 437 Unit 5 example is put together
The two order streams are described, followed by the common time standards. Each night method gets its own section with walking, picking, sorting and setup time: discrete, batch, zone and wave, the last shown to save dock waiting as well as walking, under a highlighted line on what batching and waves each save. The day stream is analyzed separately, showing why batching or zones would break the 45-minute promise and how many dedicated pickers discrete picking needs. A section states what the comparison assumes about the system and conveyor. The recommendation prices the night method, sets the day method and cites De Koster and colleagues, Petersen and Aase and Frazelle on when each method fits.
Reading the MT437 Unit 5 grading rubric
Pick method comparisons are judged first on whether the recommendation follows from the order profile. Rubrics reward identical inputs across methods, so the comparison tests methods rather than assumptions. Credit goes to separating walking, picking, sorting and coordination time. Recognizing that two very different order streams may need different methods earns analysis marks. Noting effects beyond labor, such as dock dwell time under wave release, shows depth. Stating system and equipment assumptions shows realism. A priced recommendation for each stream completes the work. A profile page, a method table with time components and a two-part recommendation are the structure graders look for.
MT437 Unit 5 help from the desk
The most frequent weak comparison describes the four picking methods from the textbook and recommends batch picking without timing anything. Another common error times each method with different assumptions, so the winner reflects the inputs rather than the method. Students often recommend one method for all orders, ignoring that urgent single-line orders behave differently from large replenishments. Sorting time in batch picking is usually forgotten. Wave release is often confused with batching. Before submitting, check that your picking time per line is the same in every method's total. If it is not, the comparison is mixing methods with assumptions, and the ranking may not hold.
Get an MT437 Unit 5 example written to your instructions
An order profile, even a rough one, is the starting point, so include it with your Unit 5 prompt and rubric. The composite comparison we write times each method your instructions list under one set of assumptions, prices sorting and waiting, and recommends by order stream. As a first custom sample it is free, returned 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 1: Night Shift Picking Board Post
- MT437 Unit 2: Warehouse Flow Map
- MT437 Unit 3: Receiving Process Review
- MT437 Unit 4: Slotting Analysis
- MT437 Unit 6: Seminar Reflection
- MT437 Unit 7: Labor Productivity Study
- MT437 Unit 8: Cycle Count Plan
- MT437 Unit 9: Automation Business Case
- MT437 Unit 10: Warehouse Layout Redesign
- MT436 Unit 5: Request for Proposal
- MT435 Unit 5: Job Scheduling Exercise
- MT434 Unit 5: Shipment Consolidation Study
- MT433 Unit 5: Currency Exposure Brief
MT437 Unit 5 questions, answered
What is the difference between batch and wave picking?
Batch picking groups several orders into one trip, so a picker collects items for all of them and sorts as they go or afterward. Wave picking is about timing: releasing a set of orders to the floor together, often by carrier or truck departure. The two combine easily, and many operations batch within each wave, so a comparison should say which question each answers.
When does zone picking pay off?
Typically when orders are small relative to the building, so a single picker would walk far for few lines, or when zones hold very different products such as heavy rack and small shelving. With large, dense orders every picker already passes most locations, and splitting the area adds handoffs without shortening walks. A paper showing this with numbers earns more than one assuming zones always help.
How should I model picking time without real data?
Break each line into walking and handling. Estimate walking from a floor plan and a stated speed, commonly 150 to 200 feet a minute with a cart, and handling from a per-line time for finding, picking and confirming. Apply the same figures to every method. Label them as assumptions, and if your case supplies rates, use those instead.
Where can I find a free MT437 Unit 5 sample paper?
This page carries the full MT437 Unit 5 comparison, timing four pick methods for nightly store orders and daytime rush orders.
Why does the MT437 Unit 5 sample keep discrete picking for rush orders?
Batching would make a one- or two-line order wait for others, and zones would add handoffs, so either risks the 45-minute promise to the store.