Page 397 - Orlicky's Material Requirements Planning
P. 397

376                                                 PART 4      Looking Backward and Forward


        driver tightening all the screws around and then filing slots in nail heads to tighten those
        too. Real problems went unattacked and unsolved.
             Business computer hardware and software became generally available in the early
        1960s, making recordkeeping and use of complex planning techniques practicable for the
        myriad items found even in small manufacturers. This removed obstacles to the devel-
        opment of many planning techniques that were impractical to apply manually.
        Prominent among these were

             1. George E. Kimball’s “base stock system,” aimed at eliminating wide variations
                in upstream demand caused by independent ordering of components of assem-
                bled products. This 1950’s system foreshadowed Japanese kanban “pull” tech-
                niques by communicating end-product actual demands to each work center
                producing components and to outside suppliers. Lack of computers to handle
                the masses of data, long setups, large component-order quantities, and buffer
                stocks at many process steps prevented early wide use and any reaping of the
                potential benefits of this technique.
             2. A forecasting technique called exponential smoothing was publi cized by Robert G.
                Brown in 1959. This weighted-averaging technique found wide application in
                product forecasting because of small computer data storage requirements and
                flexibility in reacting to demand changes. As with many other mathematical
                techniques, variations were developed extending it to unusual demand patterns
                well beyond the point of diminishing returns. These techniques were developed
                in the late 1950s by IBM, with its IMPACT forecasting software providing the
                capability to apply order-point sophistication at all levels of stocking.
             3. MRP driven by a master produc tion schedule (MPS) was first applied success-
                fully in 1961 by J. A. Orlicky on J. I. Case Company farm machinery. The rigor-
                ous logic and masses of data to be handled made this an ideal computer appli-
                cation. The enormous potential benefits over existing ordering techniques
                generated great interest worldwide.
             4. Detailed capacity requirements planning (CRP) was known since Taylor and
                colleagues had showed how to develop work standards. While good computer
                software was available early in the 1960s, failure to develop adequate capacity
                planning resulted from poor-quality, incomplete pro cessing data and work
                standards in most companies. Rough-cut (infinite) capacity planning techniques
                were used only for testing the validity of master production schedules. This
                neglect of capacity requirements planning contributed greatly to the early fail-
                ures of MRP to realize its full potential.
             5. Input/output (I/O) capacity control. Tight control of work input and output
                was impossible without sound capacity plans. This delayed and blunted attacks
                on long cycle times and made priority planning and control much less effective.
             6. Operation simulation. O. W. Wright, J. D. Harty, and George Plossl developed
                at Stanley Tools in 1962 one of the first detailed computer simulations of plant
   392   393   394   395   396   397   398   399   400   401   402