ニュース

Before implementation

Background

  • Requested to improve operational efficiency in a warehouse that handles multiple customers.

Bottlenecks

  • It was difficult to identify operations hours of common operations and customer-specific operations as they were very intricate.

Visualisation using Logitan

事例6

  • Working hours per staff, customer, and work item were made clearly visible.
  • It became clear that some staffs were engaged in setting shipping tickets (processing and supplementary work) all day, whilst others had waiting time after shipment in the afternoon.
  • By knowing common operations and customer-specific operations, it was also made clear that staff deployment was inadequate for the workloads.

After implementation

Actions

  • Setup of shipping tickets, that used to be done by few staffs all day, was shifted to afternoon slot. Now many staffs set up tickets all together after shipment in the afternoon, when warehouse is less busy.
  • Shifted one staff from a group for Customer D, which has relatively less operations, to Customer A, which has more operations.

Results

  • Eliminated waiting time
  • Increased operational efficiency realised by adequate staff deployment

ニュース

活用事例

Reducing overtime wages by visualising work items of office workers

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活用事例

Improved operational efficiency by reviewing staff deployment and operational process after visualisation of working hours

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活用事例

Countermeasures for the reduction of overtime working hours by visualisation and comparison of operations in two cooperative distribution centres

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活用事例

Proposal of variable pricing and realisation of productivity improvement by figuring out working hours per work category and staff

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活用事例

Reducing overtime wages by visualisation of operations of subcontracting company in remote location

Before implementation Background Improvement of continuous long-hour overtime work was requested by customer (medicinal chemicals manufactur…

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