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Related Experiment Video

Updated: May 13, 2025

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Integrating decision tools for efficient operations management through innovative approaches.

Weidong Liu¹, Xuewu Lai²

¹Business School, Quzhou University, Quzhou, 324000, China.

Scientific Reports

|May 9, 2025

Summary

This summary is machine-generated.

Operations management (OM) strategy selection is improved by a new framework combining objective and subjective insights. Data-driven decision-making emerged as key for operational excellence, enhancing efficiency and sustainability.

Keywords:

Decision-making Operations management Risk analysis Sustainable growth

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Operation of the Collaborative Composite Manufacturing CCM System

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Published on: October 1, 2019

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

Operations Management
Decision Science
Business Strategy

Background:

Traditional operations management (OM) struggles to balance cost, quality, and adaptability.
Organizations need clearer guidance for selecting optimal OM strategies in dynamic environments.

Purpose of the Study:

To introduce a novel decision-support framework for enhancing OM strategy selection.
To integrate objective and subjective insights for a balanced evaluation of OM approaches.

Main Methods:

Utilized CRITIC (Criteria Importance Through Intercriteria Correlation) for objective weighting.
Employed CIMAS (Criteria Importance Assessment) for subjective weight determination.
Applied WASPAS (Weighted Aggregated Sum Product Assessment) for comprehensive strategy ranking.

Main Results:

Assessed five OM approaches (lean, automation, sustainability, flexible workforce, data-driven) against eight performance criteria.
Data-driven decision-making identified as a leading strategy for operational excellence.
Alternative OM strategies showed advantages across different performance dimensions.

Conclusions:

Multi-criteria decision-making (MCDM) techniques offer significant potential for informed OM strategy selection.
The hybrid weighting approach provides a balanced and practical evaluation of competing strategies.
The study offers a roadmap for organizations aiming for efficiency and sustainability in operations.