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Unit 13: Supply Chain Management and JIT




          Stores, which separated process-stages in the plant, were located between quilting and assembly  Notes
          (item 5) and framing and assembly (item 6). These stores were the only way to transfer units
          between he feeder and the assembly lines. They operated on a first-in, first-out basis. Therefore,
          the stores protected the unambiguous production mix and sequence established at the start of
          quilting and framing. Stores also protected the production rate across process-stages because of
          their capacity limitations.
          As materials were depleted, individual 'Kanban' cards were sent to the person who ordered
          material thereby automatically authorizing delivery of small batches of replacement supplies.
          Kanban cards were the only way of reordering certain materials and were used every time a
          specific customer had to reorder material of a particular type. They went to a specific supplier
          and established the criteria for a good response (i.e., the card for fabric-1 was different than that
          for fabric-2 and indicated a pre-agreed quantity, such as 20 meters worth of cloth). The person
          who received the individual Kanban cards reordered materials by sending a shipment worth of
          Kanban cards to the external supplier, on an established schedule. By extending the rate and
          sequence with which customer orders were filled from within the Aisin plant to external suppliers
          as well, the entire system was linked to the mass customization effort.
          The plant transitioned from mass production to mass customization in 1986. The impact of using
          JIT in spite of continued increases in volume and variety is shown in Table 13.1. One can see the
          increases in productivity and simultaneous reductions in lead-time and inventory.

                  Table  13.1: Aisin  Mattress Production  Historical Mix,  Volume and  Inventory

                                            1986   1988  1992   1996  1997
                      Styles                 200   325    670    750   850
                      Units per day          160   230    360    530   550
                      Units per person         8    11     13     20    26
                      Finished goods (days)   30    2.5   1.8     1.5   1.5
                      Productivity  Index    100   138    175    197   208

          This transition was achieved despite challenges characteristic of making complex items more
          general such as multiple process stages, imbalanced and variable process times, product variety
          and fluctuations in the mix, volume, and timing of demand. Thus, rather than facing static trade-
          offs  along  a  fixed  'production  possibilities  frontier'  the  plant  repeatedly  improved  its
          manufacturing process and continued to achieve much better frontiers.
          Manifests traveled with mattresses at each step. The information on each manifest established
          fully the criteria of what each worker had to do to achieve a good outcome. Linking individual,
          customer orders to the end of production initiated a pull that extended upstream to external
          suppliers. Each batch of Kanban cards also had an unambiguous meaning. A batch of cards was
          the only way to specify the mix and volume of the next shipment and was sent for every order.
          The example shows the JIT system at work. The process established the production rhythm for
          the entire plant by structuring information unambiguously between external customers and the
          plant, within the assembly line, between assembly and its feeder process-stages and between
          the feeder processes and their external suppliers.

          13.10 JIT in Services

          In spite of the natural differences manufacturing and service, there are possible applications and
          benefits of JIT techniques in service industries. In his pioneering article, Benson (1986) argues
          that "service operations are organised systems of production processes with the same potential
          of improvement through implementation of JIT precepts as manufacturing operations". In this




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