Page 326 - Orlicky's Material Requirements Planning
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C HAP TE R 18


             Process Industry

             Application
















        Process-flow industries comprise about half of manufacturers worldwide, with the pro-
        portions much higher in Australia, New Zealand, and South Africa. The process industry
        has always been a challenge and a poor fit for traditional material requirements planning
        (MRP) systems. In the first edition of this book, Joe Orlicky posed the question of whether
        MRP would ever be used in process industry.
             Process industries are typically highly automated plants with a large capital invest-
        ment. Examples of process industries include food processors, refining, pulp and paper
        mills, beverage, primary metals mills, and plastics and chemical manufacturers. To real-
        ize the best return on investment and the lowest product costs, these plants generally run
        24 hours a day, 7 days a week. The changeover of the line from one product to another
        typically is quite expensive. The whole plant is usually down during the changeover. The
        entire production work force is idle, and the expensive capital assets are not producing
        revenue. Costs, however, continue. For this reason, the main focus for any enterprise
        planning system in the process industry is effective capacity management, including
        product sequencing and optimization of orders through the plant, rather than material
        planning. The two main tools are called process-flow scheduling (PFS) and advanced plan-
        ning and scheduling (APS).


        PROCESS INDUSTRY OVERVIEW
        Process-flow scheduling provides the highest utilization level possible in the plant by
        sequencing changeovers and scheduling by-products and coproducts to minimize down-
        time. This scheduling process is also known as  block or campaign scheduling. Once the
        capacity is planned, then the specific production output is confirmed against the order
        book and optimized for profitability given the capacity constraint—exactly the opposite
        of the process for discrete manufacturing. The traditional manufacturing business model


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