Operations Management Software | 360-Degree Overview

Operations Management Software - ScienceSoft

ScienceSoft provides software consulting and custom software development services to help businesses implement tailored operational software.

The Essence of Operations Management Software

Operations management software (OMS) helps plan, monitor, and coordinate production or service operations, digitalize daily workflows of involved employees (e.g., operations managers, planners, supervisors, project managers), identify and mitigate operational process bottlenecks. With OMS, all operational aspects are efficiently managed with a single system instead of 3-5 separate applications that require complex integration procedures.

Choose the OMS Type You’re Interested In

Software for production operations

Software for service operations

Benefits of Production Operations Management Software

Increased reliability of operations due to analytics-based capacity planning and production KPIs monitoring.

Improved quality and regulatory compliance of production outputs due to standardized operational processes, facilitated quality management and visibility into operational workflows.

Reduced inventory costs due to accurate inventory planning, inventory tracking (with barcode/RFID technology) and automatic alerts for replenishment.

Mitigated operational risks due to operations monitoring and tools to alert on operational issues (e.g., delays, defective products) and then collaborate on their resolution.

Reduced reporting latency due to automated collection and analysis of operational data.

Improved productivity and collaboration of employees involved in operations due to automated request and order routing (production and purchase order requests, maintenance requests, etc.) and communication tools.

Key Features of Production Operations Management Software

The list below represents a sample feature set of custom production operations management software. However, each real-life use case for such software is unique, so functionality should be elaborated on and tailored to the business specifics accordingly.

Production planning

  • Production KPIs setup and monitoring (e.g., production volume and costs).
  • Material requirements planning.
  • Production scheduling.
  • Automated production schedule adjustment (e.g., in case of incoming make-to-order requests or production delays).

Operations optimization

  • AI suggestions for production optimization (based on historical production data).
  • Multi-plant production optimization (balancing production load across several plants).
  • What-if production scenario modeling and cross-comparison (to generate different options of a production schedule and choose the best one).
  • Multi-location inventory optimization (calculating optimal inventory levels across warehouses based on multiple factors, from sales data to weather conditions).

Production order management

  • Production order creation (with auto-attachment of BOMs, e.g., via an integration with PLM software).
  • Automated estimation of production order costs and capacity requirements (based on product specifications).
  • Automated reservation of materials for a production order.
  • Production order routing (defining the sequence of operations to produce a product, integrating an order into the production schedule) and status tracking.
  • Automated generation of a production order receipt (with the final calculation of production costs based on the recorded material, machine and workforce usage).

Inventory management

  • Inventory levels monitoring.
  • Setup of inventory reorder points and automated trigger of purchase orders.
  • Alerts on low-level inventory.
  • Creation, routing and status tracking of inventory transfer orders.
  • Automated inventory location tracking (with barcode/RFID technology).
  • Expiration and shelf-life tracking (e.g., for raw materials).
  • AI-based inventory storage suggestions (optimal inventory location indicated based on its storage requirements, expiration date, etc.).
  • Order picking routing (the system suggests the quickest route to pick up an order for a warehouse worker).
  • AI-based packing suggestions (the system automatically defines the type and amount of packing required for an order).

Sales order management

Purchase order management

  • Purchase order request creation and automated routing for approval.
  • Purchase order creation and status tracking.
  • Setup of preferred suppliers for particular inventory groups.
  • Setup of spend limits per user/department (on purchase orders).

Workforce management

  • Workforce scheduling (production and maintenance workers, etc.).
  • Workforce performance reports.
  • Instant messaging (for easy communication between planners and operations managers and the shop-floor personnel and vice versa).

Production quality control

  • Quick form-based creation of quality control charts.
  • Scheduling and assignment of quality checks (with auto-attachment of quality control charts).
  • Alert escalation on defective products (to production supervisors).

Machinery and equipment maintenance management

  • Machine maintenance scheduling (for regular maintenance activities coordinated with a production schedule).
  • Maintenance request creation and automated routing for approval (for on-demand activities, e.g., in case of machine malfunction or irregular performance).
  • Maintenance order assignment and status tracking.
  • Predictive maintenance for equipment.

Analytics and reporting

  • Product demand forecasting.
  • Product demand vs. production capacity analysis.
  • Workforce demand forecasting.
  • Impact analysis for production schedule adjustments (to see how current production orders will be affected by the changes).
  • Capacity utilization reports (on machine and workforce utilization).
  • Production reports (on the production outputs at a given period, e.g. day/week).
  • Production costs monitoring and analysis.
  • Inventory carrying costs analysis.
  • Inventory purchasing reports (with historical costs trends).

Looking to Improve Your Production Operations?

ScienceSoft will analyze your business needs and implement tailored operations management software to optimize capacity utilization and operations costs.

OMS + business intelligence (BI) tool

to transform operational data into insights (reveal dependencies and trends influencing operational efficiency) that operational managers can rely upon to plan and optimize the operations strategy.

OMS + supply chain management (SCM) software

to assign purchase orders directly from OMS to suppliers (in SCM software) and monitor orders’ statuses; to automatically transfer data on supply lead time forecasts from SCM software to OMS for accurate production planning.

OMS + customer relationship management (CRM) software

to automatically transfer customers’ purchase orders from CRM software to OMS for streamlined sales order creation; to update CRM specialists on stock availability and current production capacity (e.g., in case of the make-to-order production strategy).

OMS + financial software

to transfer data on produced goods, machine capacity utilization, purchasing and inventory movements to financial software for accurate accounting reporting, compensation and payroll management; to transfer cost targets (for machine time, labor, energy, supplies, etc.) and payment conditions for suppliers from financial software to OMS.

OMS + product lifecycle management (PLM) software

to automatically attach bills of material (BOMs) from PLM software to production orders scheduled in OMS and get updates on changes in products’ design from PLM software.

OMS + manufacturing execution system (MES)

to transfer data on the production process (machine and workforce availability, production orders in progress, etc.) from MES to OMS for real-time production monitoring; to transfer planned production orders from OMS to MES for their execution.

OMS + human resources management (HRM) software

to transfer workforce demand data from OMS to HRM software and assign workforce with fitting skillset and availability (as reflected in employee profiles in HRM software) to different tasks.

Success Factors of Production Operations Management Software

High visibility

High visibility into operational data (due to real-time data collection and analysis) to monitor the health of operations and efficiently react to any bottlenecks (e.g., operational delays, product defects).

Automated workflows

Automated workflows for operational managers and other personnel to enable faster operations, reduce labor costs and human errors (e.g., lost or incorrectly entered data).

Comprehensive data analytics

Comprehensive data analytics for data-driven, accurate operations planning and optimization resulting in reduced operations costs and higher capacity utilization.

Advanced data security

Advanced data security methods including authorized user access, user activity logs, data encryption at rest and in transit, etc. to protect sensitive operations data.

User-friendly mobile version

User-friendly mobile software version to streamline information flows between operational managers and shop-floor personnel, simplify production reporting and escalation on operational process bottlenecks.

Interested in Getting Production Operations Management Software?

Feel free to check ScienceSoft’s service offering to support your business-specific production operations management needs.

Increased visibility into service operations.

Improved resource utilization with minimized risks of over- or underutilization.

Streamlined resource scheduling to service requests or new projects.

Minimized risks of late and over-budget projects, and reduced time to process change requests in projects.

Key Features of Service Operations Management Software

Service operations management software may cater for businesses with both one-time projects and continuous service operations, offering functionality for multiple user groups – operations and resource managers, project managers, service delivery teams, and others – to streamline their daily workflows. Below, you can find a sample feature set of service operations management software.

Service planning and optimization (for managers)

  • Setting up service-related workflows (approval workflows, corporate policies to follow, etc.).
  • Continuous service improvement management (identifying service best practices, gathering employees’ ideas and conducting votes on service improvement ideas).
  • Service level agreement management.

Human resource management

  • Centralized view of human resource data (employee profiles with up-to-date information on skills, availability, workload, and bill rates).
  • Human resource allocation (comparing skill sets available in employee profiles and assigning fitting candidates to projects/service requests).
  • AI-driven suggestions on resource allocation.
  • Real-time resource demand forecasting (based on the analysis of available capacity).
  • Configurable capacity utilization dashboards (allow checking capacity per specific periods, business units, departments, etc.).
  • Alerting on resource under- or overutilization to resource managers and PMs.
  • AI-driven recommendations on where to engage under-utilized resources.

Project management

  • Project planning (setting up goals, milestones, timeline, budget, stakeholders, etc.).
  • Project process breakdown (creating and editing tasks and sub-tasks required to complete a project).
  • Project time and resources estimation based on historical data about completed projects.
  • Form-based resource request creation and automated routing to resource managers.
  • Current vs. planned project progress monitoring.
  • Current vs. forecast project margin monitoring.
  • Project budget monitoring (burn rate, remaining budget, etc.).
  • Configurable alerts on deadlines, project risks, etc. (for project managers and team members).

Project tasks and service requests management

  • Task/request assignment and progress status tracking.
  • Automated booking of employees’ working hours based on assigned activities.
  • Configurable task/request schedule viewer for employees/teams (with a calendar view, Gantt chart view, etc.).

Time and expense management

  • Configurable timesheets and expense claim forms.
  • Time tracking of employees’ billable and non-billable hours.
  • Expense tracking (submitting receipts for transportation expenses, etc.).
  • Automated approval workflow for employees’ timesheets and expense claims.
  • Automated invoice generation (based on approved billable hours and expenses) and status tracking (approved/pending, etc.).

Document management

  • Centralized storage of service-related documents (contracts, project plans, meeting notes, policies, etc.).
  • Search engine with document metadata querying.
  • Template-based document creation.
  • Auto-referencing of documents to related projects, tasks, etc.

Supply management

  • Barcode-based tracking of supplies’ quantity and location.
  • Setup of reorder levels and alerts for low-stock supplies (can be tuned for different locations).
  • Supply purchase order creation and approval.
  • Purchase order status tracking and history overview.
  • Setup of preferred suppliers for ordering.
  • Supply demand forecasting (based on historical demand data and seasonal demand fluctuations).

Project and service analytics

  • Change impact analysis (shows how changes, e.g. unexpected delays, affect service schedule or project progress).
  • Revenue forecasting based on real-time monitoring of service/project delivery (can be drilled down by service types or projects, clients, business units, etc.).
  • Resource utilization reports.
  • AI-based project/service risk assessment (e.g., comparing customer demand with a company’s current resource capacity).

Looking to Streamline Your Service Delivery?

ScienceSoft offers the development of custom service operations management software that digitalizes related workflows and provides deep visibility into service operations and the ways to optimize them.

Service operations management software + analytics software

– operations-related data from OMS is aggregated and processed in analytics software to reveal trends in resource availability and utilization, financial project health, etc.to optimize operations planning.

Service operations management software + customer relationship management (CRM) software

– service requests from CRM are transferred to OMS for quick scheduling and assignment to employees; a project/task can be automatically created in OMS from an approved sales proposal in CRM.

Service operations management software + a customer portal

– project progress reports, approval requests (for timesheets and expense claims), etc. go from OMS to a customer portal; customer change requests from a customer portal are accessible from OMS.

Service operations management software + accounting software

– service time and expense log data from OMS goes to accounting software for streamlined customer billing, employee compensation and payroll management; all financial data from OMS (revenue generated from the projects and services rendered, etc.) is transferred to accounting software for accurate accounting reporting.

Success Factors of Service Operations Management Software

Advanced data analytics

Advanced data analytics (project/service risk assessment, resource demand forecasting, etc.) to accurately plan resource utilization and proactively react to the risks that may impact the service quality or the project progress.

Automated workflows

Automated workflows for daily activities of resource and project managers and service delivery teams to let them increase productivity and focus on more value-driving tasks (automated approval requests routing, document templates, alerts on deadlines, etc.).

Advanced data security

Advanced data security methods, including authorized user access, user activity logs, data encryption at rest and in transit, etc., to protect sensitive operations data (revenue-related data, project details, etc.).

OMS Implementation Costs and Financial Outcomes

The cost of OMS implementation varies greatly depending on:

  • Functionality scope (the number of functionality modules, implementation of AI features, RFID technology, etc.).
  • Complexity of data migration procedures (the volume of data that needs to be migrated from the spreadsheets and/or software currently used for operations management).
  • Complexity and the number of integrations (with ERP, CRM, PLM, etc.).

A custom solution of average complexity requires investments from $200,000 to $400,000, with payback expected starting from 3 months of usage. Key financial outcomes of OMS implementation include the optimized gross margin and resource utilization.

When to Opt for Custom Operations Management Software

Custom operations management software is a more feasible option compared to platform-based software in the long term if:

  • Software should be accessed by a large number of users (e.g., for the management of multiple work centers), as enterprise-scale licensing for platform-based operations management software is expensive.
  • You need software completely tailored to your operations. Custom operations management software may replace 3-5 separate platform-based applications that would require expensive customization and additional integration efforts.
  • You need to integrate operations software with custom legacy systems (SCM, CRM, etc.), which may be complex or impossible in case of platform-based software.

Operations Management Software Implementation

ScienceSoft leverages 32-year experience in custom software development to implement functionally rich and high-performing operations software for workflows of any complexity.

Operations management software consulting

Our consultants:

  • Elicit business and user requirements for operations management software.
  • Define a suitable set of operations management software features.
  • Design operations management software architecture for high performance, security and scalability.
  • Prepare an integration plan (with BI, SCM, CRM etc.).
  • Deliver UX/UI mock-ups (optional).
  • Provide project cost & time estimates, expected ROI calculation.

Operations management software development

Our team offers:

  • Analysis of business needs related to operations management software.
  • Operations management software conceptualization.
  • Back-end and front-end operations management software development.
  • Mobile app development (if required).
  • Integration of operations management software with other systems (BI, SCM, CRM, etc.).
  • User training.
  • After-launch support and operations management software evolution (on demand).

About ScienceSoft

ScienceSoft is an IT consulting and software development vendor headquartered in McKinney, TX. We offer consulting and development services to help our customers achieve more productive and cost-effective operations with fitting operations management software. Visit our custom software development page for more information on our approach.