Previously, it would have been good if the same work was repeated in the same place.
However, as multi-product production and labor-saving have been progressing, it is not unusual to have a case where one worker is responsible for various tasks in multiple places.
In such case, the worker often has no idea which work and what time to do it from the subjective viewpoint.
Many of these may rely on experiences such as tasks obtained from the result of actually doing things and doing work.
You can also verify and decide rules to undertake such work in GD.findi.
First of all, in the model introduced in last time (The 12th: Let's decide workers in charge! (No.2) ~Wast of Transport vs. Wast of waiting), we can consider the case that 3 people → 2 people were reduced as manpower saving.
At this time, if the transportation work is fixed to one worker, another worker has to do all processing and finishing, obviously the production efficiency will be worse.
In this case, we adopt the policy on the right side of the figure above and set each processing / finishing / conveying work to be implemented by two workers who are available.
By the way, at this time, when reviewing the process, it is understood that the processing time of [carry-in inspection] is shorter than the operation time of [intermediate processing], and it is automatic processing that does not require workers.
In other words, only the "carry-in inspection" does not involve workers, and it is always processed at a constant tact time, so the [intermediate processing] process will inevitably stop while waiting for workers.
This is also assumed from the increase in inventory in the material flowchart.
This can be judged that the reason arises from the unconditionally carrying out transport from [inspection machine] to [processing plant 1] and [processing plant 2], despite the waiting for processing work.
Therefore, let's give the rule as a "worker's action" to carry out "transfer work from the inspection machine to the processing plant when the number of parts finished its inspection is 5 or more."
By doing so, we can allocate the available amount to other tasks since it has been reduced the number of transports from the inspection machine to the processing plant.
This can be expressed by giving the constraint that "there are 5 or more processed parts in the inspection machine" in the transport activity behavior as described below.
For more details about the INV of the behavior, please refer to Function Manual (Behavior) "2-3-5 Conditioned Transport from Station Stock Number [INV]."
When watching the results after rendering in this condition, it turns out that the total production time is shortened, and it can be judged that the improvement of work efficiency is expected.
This time we set the number of "5", but by setting this with changing it to various other values, and by comparing the respective results, the optimum value should be found.
Please try by all means.
In this way, it is easier for GD.findi to introduce the constraint into the model, change the parameters of the constraint, compare the results, and derive the optimum solution based on certain prediction, and it is possible to support various designs.
For more details regarding GD.findi, please find the webpage or contact GD.findi email address as below.
Inquiry address: firstname.lastname@example.org