CRIS @2020 AWS Startup Da
A powerful smart scheduling function makes IMPACTs the brain of your factory.
Schedule planning based on the earliest available material delivery time of a customer order (CO)/ manufacturing order (MO) to generate its earliest completion date. This scheduling method can achieve the goal of maximization of production capacity.
Scheduling according to the priority/time of the order receipt time, quickly planning an executable production plan with limited capacity and evenly distributed waiting time.
Schedule according to order priority, and flexibly set order priority according to factors such as order value, customer importance, and order product category.
The scheduling engine will automatically update the order priority for scheduling based on the key indicator (Critical Ratio), and the key indicator continuously updates as the order delivery date and the remaining processing time change.
For the outsourcing process and no need for a detailed calculation of production capacity resources, the capacity may set to unlimited, and the MO will transfer to the next process after fixed processing time.
Each process can set different transfer batches. Before releasing a manufacturing order (MO) for production, the system can automatically split and release MOs according to the smallest transfer batch size.
Before starting a specified process, a MO must wait for a specified time before start processing. For example, the heating process needs annealing cooling before starting the next operation process.
Each resource can set different dispatching logic. For example, non-bottleneck equipment can set FIFO dispatching logic to improve production efficiency, and bottleneck resources can set to be an automatic priority.
Synchronized planning of material and capacity requirements; planning the recommended material arrival time based on the shop floor production line’ material requirement usage to ensure that the production line will not stop due to lack of material.
The backward scheduling approach based on the customer order/manufacturing order (MO) due date is applied to obtain each MO's latest release date. It can solve the problem of early releasing MO and effectively reduce material costs.
Backward planning the latest releasing time of the parent MO from the customer order due date, and schedule the latest manufacturing parts’ operation start time based on the same logic, to effectively reduce the quantity and waiting for time shop floor work in progress (WIP).
Log in to the IMPACTs system via a mobile device such as a mobile phone or tablet to display the detailed information of the MO currently assigned to this account and the MO operation sequence to be processed next.
Shop floor operators can use a mobile device such as a cell phone or tablet PC to log in to the IMPACTs system and report MO production status directly or use a mobile device to scan the paperwork based operation instruction sheet to feedback the work progress.
According to the resource line-changing logic and change time, the IMPACTs system can generate effective line change schedules by considering shop floor production conditions.
The purpose of batching production is to put MOs with similar or the same production restrictions together to process simultaneously. For example, the batches that need the same baking time or temperature can be grouped for processing in the baking process.
IMPACTs may generate mold assignment schedule according to the molds required by the product and the available mold resources. The molds are assigned in detail when and on which machine to mold.
According to the designated personnel's needs to change the mold, plan the mold changer's work schedule, to avoid the situation of lack of mold changers when the mold needs to be changed.
To meet the designated personnel operating the specific equipment' requirements, IMPACTs may plan equipment operators' work schedules. Therefore, one operator may be responsible for several machines simultaneously.
This module stores relevant data such as cutting tools, tool holders and collets, and the relationships of the products to be processed with them, and also records data such as cutting tool consumption and requisition.
This module stores relevant data such as molds and fixtures and the relationships of products that need to be processed with them and records the history of the use and receipt of molds and fixtures.
This module stores relevant information about production resources and spare parts other than molds, jigs, and tools, and the relationships of products that need to be processed, and records the history of their use and acquisition.
Resource equipment repair and maintenance order assignment, repair work can be assigned to different operators according to different needs.
Use the remaining inventory of tools or other resource parts to predict when it will be exhausted, and schedule to issue a suggested purchase notice before exhaustion.
This module will generate a resource acquisition schedule based on the tool, mold, and other resource accessories data, after judging the relationships of the product, if it needs to be used for processing.
According to the resources' remaining service lifetime, automatically generate maintenance orders and incorporate the maintenance orders into the production and operations schedule. Plan synchronously with the manufacturing orders (MOs), and use the remaining production time for maintenance.
According to the machines' historical failure data, the AI model will predict the latest maintenance time limit and generate the maintenance schedule before reaching the time limit.
Analyze the factors affecting maintenance and repair events, and find out the main reasons for frequent maintenance. For instance, AI model will schedule regular production before schedule a maintenance if a specific process is prone to damage to the equipment.
Use historical equipment production data to train the machine learning model and use the AI model to estimate the equipment's remaining lifetime. AI model will schedule maintenance orders before failure occurs.
According to the production line's capacity, try to calculate the production cycle time of different orders releasing time and quantity, and recommend the suitable release time and amount based on the order due date.
According to the demand plan, calculating whether resources need to be adjusted, increase equipment with insufficient capacity, reduce overcapacity, and simulating the utilization rate under different product portfolio scenarios.
IMPACTs Combines the unutilized production capacity with the materials currently in stock to generate a suggested combination of production and sales products.
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