CERTIFIED TEC PRODUCT

"GLOVIA G2 is one of the few ERP-class applications that is fully capable of supporting the lean manufacturing paradigm . . . "

– Ted Rohm,
TEC Research Analyst

Differentiators of GLOVIA G2:

  • Scalability
  • Underlying performance
  • Source code delivery
  • Free migration toolkit
  • Lower implementation costs

GLOVIA G2 receives Technology Evaluation Centers (TEC) certification for discrete manufacturing enterprise resource planning (ERP) solutions.

TEC Senior ERP Analyst Ted Rohm finds GLOVIA G2 to be "one of the most robust discrete manufacturing ERP solutions on the market."

View the GLOVIA G2 ERP certification report from TEC.

Kanban


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Automate the flow of material using pull techniques

Kanban, a technique for work and inventory release, is a major component of Just-in-Time (JIT) and Lean Manufacturing philosophy. Kanban was originally developed at Toyota in the 1950's as a way to manage material flow on the assembly line. Over the last three decades, the Kanban process – a highly efficient and effective factory production system – has become a widely used tool in the manufacturing environment and global competition.

Kanban stands for Kan- card, Ban- signal. The essence of the Kanban concept is that a supplier, the warehouse or the manufacturer should deliver components only when they are needed so that there is no excess inventory. Within this system, workstations located along production lines only produce or deliver desired components when they receive a card and an empty container, which indicates that more parts are needed in production.

In case of line interruptions, measures are taken so that each workstation will only produce enough components to fill the container and then stop. Kanban also limits the amount of inventory in the process by acting as an authorization to produce more inventory. Since Kanban is a chain process in which orders flow from one process to another, the production or delivery of components is pulled through the production line, in contrast to the traditional forecast-oriented method where parts are pushed.

In JIT systems, when components and parts are needed for final assembly, they are pulled in small batches from the supplying work centers. One of the most popular methods used for implementing JIT is through the use of Kanbans.

Advantages of Kanban Processing

  • Provides quick and precise information
  • Provides quick response to changes
  • Avoids overproduction
  • Minimizes waste
  • Maintains full control
  • Delegates responsibility to line workers

Kanban Processing in GLOVIA G2

As part of our ongoing commitment to provide the best manufacturing practices within GLOVIA G2, we have introduced a solution that encompasses the very best of Kanban techniques. To help create as much flow as possible, monthly requirements are calculated using GLOVIA G2 Master Production Scheduling, which then relays information to a Kanban screen and generates the required number of Kanbans.

Referring to the above diagram, when a shipment is due, pack lists and container labels are generated. For each label that is created, a warehouse staff individual must select a full container to go with each corresponding container label (C). In order to replenish the finished goods storage, a production Kanban is selected and scanned to match the outgoing container that is already full. After the operator compares and confirms a match, the production Kanban is then sent to the production line, on a Heijunka post (where the Kanbans reside) as an authorization to produce another container of parts. When the production line has finished producing a full container of parts, the production Kanban is finally placed in the matching container and moved to finished goods storage (B). If preferred, the production line can also be updated by using a move Kanban to move stock through the production line and to component storage (A).

To keep data entry to a minimum, all Kanbans are produced with bar codes and the system is ready to accept data entry through scanners or other means.