Rough cut capacity planning-(RCCP)-(case study)

Abstract

Many people are familiar with the Manufacturing Planning and Control (MPC) Systems which are driven by Material requirements planning (MRP) engines. In such systems MRP uses a master production schedule (MPS) of end items to determine the quantity and timing of component parts’ production. MRP does not consider any capacity limitation; it strictly assumes that, sufficient capacity is available to produce components at the time when they are needed. The most common problem which is encountered in operating MRP based systems is the existence of an overstated MPS. An overstated master production schedule is the one which orders more than the production resources can complete. An overstated MPS causes raw materials and WIP inventories to increase because more materials are purchased and released to the shop than are completed and shipped. It also causes a buildup of queues on the shop floor. Since jobs have to wait to be processed, actual lead times increase, causing ship dates to be missed. As lead times increase, forecast over the planning horizon becomes less accurate. This is because of the fact that, forecasts are more accurate for shorter periods than for longer ones. Thus, overstated master production schedules lead to missed due dates. Because of all the above given reasons, validating the MPS with respect to available capacity is an extremely important step in MRP. The term used for this validation exercise is “Rough Cut Capacity Planning (RCCP)”. The methods commonly used in energy planning outline is a technique factors College ((Overall Factors, and is a way to convert the amount of products contained in the scheduling main production to the power requirements are expressed in hours of work a total of some or all production resources (processes or certain sections). Then these requirements are being distributed from the total energy required to types of energy depending on the rates of use of each type to