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Master Production Schedule Template: Weekly Plan by Product

A master production schedule template: forecast and orders, batches in whole batch sizes, projected on hand, what's free to promise, capacity, an example.

By Koa Sterling. Product specialist at TaroStack and small business owner. Yes, I am a real human, and I actually sit in front of a computer and write these articles. Reviewed October 17, 2026 · 5 min read

A master production schedule (MPS) says how much of each finished product you'll make, week by week. It sits between sales and the kitchen: on one side, the forecast and the customer orders already promised; on the other, batches in whole batch sizes and the capacity of the kitchen. For each product and week it works out demand, the larger of forecast and orders, then schedules enough batches to keep projected on hand above a safety stock. Two more lines make it useful day to day. Free to promise shows how much a new order can take in a given week without breaking orders already promised. And batches a week against capacity shows where the kitchen is overbooked or idle, so batches can be moved to level it. The MPS feeds material requirements planning, which turns the batches into what to buy. In the example below, a hot sauce maker schedules three sauces for six weeks and answers a grocery chain's order. Below are the lines, the example, and a free template.

The short version

  • An MPS says how much of each product to make, week by week.
  • Demand each week is the larger of the forecast and the orders.
  • Batches are scheduled in whole batch sizes to stay above safety stock.
  • Projected on hand = last week's + what's made − demand.
  • Free to promise = on hand + scheduled batches − orders already promised.
  • Batches a week against capacity show where to move work.
  • TaroStack plans what to make and when on Standard at $99 a month. More below.

The lines

Line How it's worked out
Forecast What you expect to sell that week
Customer orders What's already promised for that week
Demand The larger of forecast and orders
Scheduled to make Enough whole batches to keep projected on hand above safety stock
Projected on hand Last week's projected on hand + scheduled − demand
Free to promise On hand + everything scheduled so far − every order so far
Batches against capacity Batches scheduled across products, against what the kitchen can make

What to buy for the batches is in material requirements planning example, and the daily run sheet in production schedule example.

An example: a hot sauce maker's six weeks

Blue Ridge Hot Sauce, the made-up hot sauce maker in Roanoke, Virginia, I use in these examples, makes three sauces in batches of 600 bottles, three batches a week at most:

Original hot sauce, week 1 2 3 4 5 6
Forecast 500 500 550 600 650 700
Customer orders 620 410 300 200 100 0
Demand 620 500 550 600 650 700
Scheduled to make 600 0 600 600 600 1,200
Projected on hand, from 900 880 380 430 430 380 880
Free to promise 880 470 770 1,170 1,670 2,870
All sauces, week 1 2 3 4 5 6
Batches scheduled 2 0 3 1 3 2

Week 2 has nothing scheduled while weeks 3 and 5 are full, so green chile's week-3 batch moves to week 2; it still keeps green chile above its safety stock, and week 3 gets slack for a surprise. Then a grocery chain asks for 600 bottles of smoked habanero in week 2. Its free to promise in week 2 is 400, so Blue Ridge promises 400 that week and 200 in week 3, when the next batch lands, instead of saying yes and shorting the stores it already serves. How the sauces are packed for a chain is in selling to grocery stores requirements.

Get the template

Download the master production schedule template. One sheet: type the kitchen's batches a week, and for each product its on hand, safety stock and batch size, then each week's forecast and customer orders; demand, batches scheduled in whole batch sizes, projected on hand, free to promise, and batches against capacity fill in, with overbooked weeks in red. It's an ordinary Excel file with no macros, and it works in Google Sheets, LibreOffice and Numbers.

Where this stops working

Three sauces and six weeks fit. Ten products, a co-packer's run in the middle of the month, orders arriving every day and a forecast that's wrong by Thursday turn a weekly sheet into a daily chore.

How TaroStack does it

TaroStack's planning works from your forecast, orders, stock and recipes, and says what to make and when.

What to make, and when. Planning looks at what's on hand, what's on order from customers and what's forecast, and proposes what to make and when, shelf-life aware.

The capacity schedule. Work centers and their hours make a capacity schedule, so a week's plan shows where the kitchen is overbooked.

From plan to batches. A run you plan becomes a production order and then a batch that takes its ingredients and bottles off stock, so the plan and the stock stay in step.

The job Spreadsheet In TaroStack
What to make each week An MPS sheet Planning's proposals
Kitchen capacity Batches counted by hand The capacity schedule
A new order's date Free to promise, worked out Stock, orders and plans together
Plan to production Retyped Production orders and batches

Planning, the forecast and the capacity schedule are on Standard at $99 a month; recipes, batches and stock are on every plan, from $49 a month. The first 30 days are free, with no credit card. If you'd like a hand setting up, ask, and we'll do it with you.

Questions people also ask

What is a master production schedule?

A week-by-week plan of how much of each finished product to make, from the forecast, the orders and the kitchen's capacity.

What is the difference between MPS and MRP?

The MPS says what finished products to make and when; MRP turns that into the ingredients and packaging to buy and when to order them.

What is available to promise?

How much of a product a new order can take in a given week without breaking orders already promised: on hand plus what's scheduled, minus the orders.

How far ahead should a master production schedule go?

At least as far as your longest lead time for ingredients or packaging, so what it calls for can arrive in time.

We use AI to help with the research for these articles. Every one is read, checked against its sources and edited by Koa before it's published. Spot a mistake? Tell us and we'll fix it and say so. How we write these.

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