Capacity requirements planning

The two best-known approaches to adding some capacity checks to the basic MRP calculations are rough-cut capacity planning and capacity requirements planning. Both of these approaches have essentially the same philosophy to estimate the amount of capacity required at each workcenter in each time period and notify the user of any violations. It is up to the user to decide how to moddy the MPS to obtain a capacity-feasible order release scheme. They differ in the amount of data required and the accuracy of the capacity profile generated. 

Cross-docking, 778 Cross-training, 934 Crowds (privacy service), 268-269 CRP (capacity requirement planning), 2042 CRT screens, see Cathode ray tube screens Cryptographic systems (cryptosystems), 733 CSCW, see Computer-supported collaborative work... 

The production schedules take into account the necessary timing of production orders, but they assume that the capacity is available when needed. However, capacity constraints are a reality and must be taken into account. The logic that takes into account the capacity constraints is called Capacity requirements planning. 

How good is your capacity planning Do you use a rough-cut capacity plan to develop a detailed capacity requirement plan 0.1 0.2 0.3 0.4 0.5... 

Capacity requirement planning (CRP) It is a computerized technique to predict resource requirements of all available workstations (also see RCCP). RCCP balances workloads at a high level, CRP will then fine tune the workload balance. 

Planned orders are place holders for process orders that have yet to be checked for planning feasibility by detailed scheduling. In a hierarchical planning model they are interpreted as a hint to the details planner that they should create and schedule a process order. They are often the result of an automated MRP (material requirements planning) run that is based on planned independent requirements and does not consider resource capacities. 

To integrate an organizational unit that uses multipurpose batch plants into the company, IT infrastructure with its ERP system, a hierarchical planning approach is most often used. Starting from a material requirements planning (MRP) run, capacity requirements are determined and roughly checked, although the check of the capacity requirements is not directly combined with the material requirements. 

In most cases known to the authors planning software is used in situations where in fact one has to deal with unsolvable planning problems (not enough capacity, requirement peaks, lack of workforce etc.). 

Supporting IT systems Finally, the accuracy and speed of an integrated process is heavily influenced by the availability of IT systems, which provide a common database, automated functions like Materials Requirements Planning (MRP), and opportunities for simulation and optimization (for instance, real time finite capacity production scheduling, or on-line customer order confirmation based on existing overall supply chain inventory or capacity). 

Projecting market demand for specific classes of therapeutics in development will remain a major planning issue for bio-pharmaceutical companies. The ability to meet the demand for biopharmaceutical production capacity, whether through in-house manufacturing or outsourced contract manufacturing, carries strategic and financial implications. Also, FDA approval policy and the development of the biogenerics market will have a major impact on future capacity requirements (see Part VII, Chapter 4). 

Infinite Capacity Algorithms Material Requirements Planning... 

Another disadvantage of the MRP algorithm is that when a capacity infeasible plan is recognized, it does not offer any help as to how to repair the problem. In most cases the user has two options— go with the infeasible plan and hope for the best (an option often adopted when the time available for plan revisions expires), or examine the MPS and try to move production requirements between periods so that the MRP algorithm can generate a feasible release plan. The latter is difficult for even em experienced plemner to do, especially for a number of products with large, complex BOMs. 

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