Automating Work Order Creation in IBM Maximo Application Suite with Python: Towards Intelligent Maintenance

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🔹 Introduction

Automation is reshaping maintenance management. By leveraging Python scripting within IBM Maximo Application Suite (MAS), organizations can automatically create and manage work orders - improving efficiency, accuracy, and responsiveness.
Let's explore how a few lines of Python can transform the way maintenance teams operate.

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🔹 Technical Context

Since MAS 8 and 9, IBM Maximo includes a flexible scripting environment based on Python (Jython).
This enables developers and administrators to automate actions directly within Maximo, such as:

• Automatically generating work orders when an anomaly is detected

• Creating WO based on asset performance thresholds

• Integrating external data (IoT, APIs, AI) to trigger maintenance tasks

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🔹 Example: Automatically Creating a Work Order

from psdi.server import MXServer
from psdi.mbo import MboRemote

# Connect to the Maximo server
mxServer = MXServer.getMXServer()

# Access system user info
userInfo = mxServer.getSystemUserInfo()

# Create a new Work Order set
woSet = mxServer.getMboSet("WORKORDER", userInfo)

# Add a new Work Order
newWO = woSet.add()

newWO.setValue("DESCRIPTION", "High temperature alert detected on pump P-1001")
newWO.setValue("ASSETNUM", "P-1001")
newWO.setValue("WOPRIORITY", 1)
newWO.setValue("WORKTYPE", "CM")  # Corrective Maintenance
newWO.setValue("SITEID", "MAINPLANT")

# Save the record
woSet.save()

print("✅ Work Order successfully created automatically!")

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🔹 Code Explanation

• MXServer.getMXServer() → Connects to the Maximo server

• getMboSet("WORKORDER") → Creates a manipulable set of work orders

• add() → Adds a new record

• setValue() → Defines core fields (description, priority, site, etc.)

• save() → Commits the record to the Maximo database

This script can be triggered through an Automation Script Launch Point, such as:

• Object Launch Point – when an asset changes status

• Cron Task Launch Point – for scheduled automation

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🔹 Key Benefits

✅ Reduced manual processing time
✅ Improved reliability and maintenance responsiveness
✅ Seamless integration with IoT and AI data (e.g., Maximo Monitor or Visual Inspection)
✅ Fully customizable automation without altering Maximo's core logic

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🔹 Conclusion

Python automation within IBM MAS offers a powerful way to make maintenance smarter and more proactive.
For organizations seeking to optimize operational performance, Jython scripting is a gateway to intelligent, data-driven maintenance.

#IBMMAS #Maximo #MaximoApplicationSuite #PythonAutomation #AIMaintenance #IBMChampion #DigitalTransformation #EnterpriseAssetManagement #Jython #Automation #PredictiveMaintenance #IBMCommunity #Maintenance4_0

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Yasmine Ghomri
IBM Maximo / MAS 9 Expert | Technical Lead | IBM Digital Badges
SINORFI
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