Review Article
Industry 4.0-Driven Development of Optimization Algorithms: A Systematic Overview
Table 1
Optimization issues in Industry 4.0 systems.
| Objectives | Restrictions | Manufacturing operations |
| Determine the size of a job (batch, run) | ● Inventory | ● Highly complex | Assign it to a production line | ● Availability of resources (labor, machines) | ● Rely on manual scheduling/use complex spreadsheets | Sequence jobs on each line | ● Changeovers/cleanings/planned maintenance | ● Need to improve on-time delivery | ✓Maximize throughput/quantity produced | ● Unplanned downtime | ● Experience inefficient changeovers/setups | ✓Minimize operating cost/changeovers | ● Operator availability | ● Have multiple products sharing common resources (labor, infrastructure) | ✓Maximize on-time delivery | ● Emergency/expedited customer orders | ● Production costs are a large proportion of the cost of goods sold | ✓Minimize total time to complete production | ● Maintenance requirements | ● Want to increase production without additional capex | ● Delivery promises | ● Need to reduce operating costs, product losses/waste |
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