Manufacturing Execution Systems

MITS Manufacturing Execution System Overview

• Production Monitoring: Visibility of your production facility at your fingertips.

• Order Management: From your ERP, Flat File, or a Scan and Load, we manage your order throughout the entire build process.

• Lean Manufacturing: We interface and manage all Lean Manufacturing tools such as VSM, Poka-Yoke, Pick to Light, Kanban, Pick to Voice, Andon, whatever it may be.

• Tracking and Genealogy: From raw goods to finished products, we track all product data.

• Maintenance: Support maintenance operations to reduce downtime and improve overall efficiency.

• Error Proofing: MITS provides a range of tools to implement error proofing into existing

  processes.

MES Implementation

A manufacturing execution system performs a number of valuable activities as its scope has been further refined over the years by international models and standards.

Examples include the following:

1. Evaluation of Performance: This is accomplished via an audit interface that facilitates integration of data from other systems.

2. Tracking and Tracing of Production: A complete history of equipment, lots, and orders can be presented upon request because of the capability to retrieve and register related information.

3. Production Performance Analysis: Performance indicators like overall equipment effectiveness of a past period or Work In Progress overviews of a current stage of production can be used to create useful information.

4. Production Process Scheduling: Manufacturing execution systems receive production requirements from another system, such as an ERP, and make optimal use of local resources with a collection of work orders to determine the production schedule.

5. Resource Management: The right availability and capability of resources are essential to prepare and execute production orders. MES helps to accomplish this by analysis, registration, and exchange of information regarding the various resources.

Industry 4.0

The advances in data exchange, cloud computing, and automation to foster “smart factories” has been referred to as the fourth industrial revolution, or Industry 4.0. A smart factory works toward greater efficiency through the collection and analysis of time-series data via the process of manufacturing analytics.

The analysis helps manufacturing decision-makers improve production output by optimizing current conditions on the plant or factory floor.

When Industry 4.0 systems were being developed, there was an overlap in functionality between different systems. Some structure was needed to correct this overlap, so the Manufacturing Enterprise Solution Association set the scope of MES in terms of specific defined functions.

These functions lend themselves to focusing on: 

• Machine Downtime

• Plant Visibility

• Throughput Issues

• Quality Issues

• Traceability Issues

• Process Visualization

• Order Management

• Assembly Operations

• Logistics

• Maintenance Support

The benefits derived from this focus include:

• Reduction in Waste

• Increased Uptime (More Throughput)

• Paperless Work Activities

• Reduced Inventory

• Increased First Time Compliance