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Master Production Scheduling

The production plan represents a firm’s aggregate measure of manufacturing output. Once this plan is made, it is the responsibility of marketing to sell it and production to implement it. To do so requires a desegregation of the production plan into individual products. The master production schedule (MPS) is a statement of how many finished items are to be produced. Typically the master schedule is developed for weekly time periods over 6-12 months horizon.

Master scheduling is generally a complex problem, especially for products with large number of operations For example, in Dow Corning there are 12 MPS; who are responsible for scheduling 400 packed products over a 26-week time horizon. In process industries with only a few different operations, master production scheduling is somewhat easier.

A master production schedule (MPS) is a plan for individual commodities to be produced in each time period such as production, staffing, inventory, etc. It is usually linked to manufacturing where the plan indicates when and how much of each product will be demanded. This plan quantifies significant processes, parts, and other resources in order to optimize production, to identify bottlenecks, and to anticipate needs and completed goods. Since an MPS drives much factory activity, its accuracy and viability dramatically affect profitability. Typical MPSs are created by software with user tweaking.

The MPS is a statement of what the company expects to produce and purchase (i.e. quantity to be produced, staffing levels, dates, available to promise, projected balance). The MPS translates the customer demand (sales orders, PIR’s), into a build plan using planned orders in a true component scheduling environment. Using MPS helps avoid shortages, costly expediting, last minute scheduling, and inefficient allocation of resources. Working with MPS allows businesses to consolidate planned parts, produce master schedules and forecasts for any level of the Bill of Material (BOM) for any type of part.

The main functions of MPS are:

MPS Attributes

Working

By using many variables as inputs the MPS will generate a set of outputs used for decision making. Inputs may include forecast demand, production costs, inventory money, customer needs, inventory progress, supply, lot size, production lead time, and capacity. Inputs may be automatically generated by an ERP system that links a sales department with a production department. For instance, when the sales department records a sale, the forecast demand may be automatically shifted to meet the new demand. Inputs may also be inputted manually from forecasts that have also been calculated manually. Outputs may include amounts to be produced, staffing levels, quantity available to promise, and projected available balance. Outputs may be used to create a Material Requirements Planning (MRP) schedule.

A master production schedule may be necessary for organizations to synchronize their operations and become more efficient. An effective MPS ultimately will:

MPS issues:

The Master Production Schedule is a detailed Plan of Production. It drives the MRP system by referencing inventory, requirements and bill of materials. For the purpose of Materials Requirements Planning, the time periods must be identical with those used in MRP system.

Master Production Schedule represents the plan for manufacturing products. It consists of quantities, dates and configurations. Typical MPS is a table containing the following information:

Using the Master Schedule

Master scheduling can be a complicated process. Let us summarize some of the observations.

The master schedule is important, since it forms the basis for future production planning activities. Therefore, it must be adaptive to changes in the environment. Seldom will forecasted demands be realized or production plans be adhered to perfectly. As each week passes, operations managers must compare scheduled production with actual results. This may result in changes to the MPS-master scheduling is a full time job! Too many changes, however, indicate that master scheduling is not being performed correctly and can result in poor productivity and low levels of customer service.

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