Evaluating MTO Order Economic Performance for Parts Processing and Machining Production

In a Taiwan metal parts processing company, orders often involve customization, tight deadlines, and small quantities, leading to additional costs that can distort profit assessment during quoting and production.This case study employs Data Envelopment Analysis (DEA) to assess how different types of make-to-order (MTO) orders impact costs and profits.Mass production type benefit from operational experience, enabling efficiency improvements.However, research and development (R&D) orders pose challenges due to unforeseeable factors like production failures and rework processes.We suggest classifying R&D orders based on complexity, customer requirements, and material types.Three key approaches for assessing order benefits include evaluating cost-effectiveness between in-house production and outsourcing, streamlining processes for efficiency, and integrating risk considerations into quotation accuracy and manufacturing cost analysis.

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Publication Details

Journal
Operations and Supply Chain Management An International Journal
Published
2024-12-30
DOI
https://doi.org/10.31387/oscm0590446
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluating MTO Order Economic Performance for Parts Processing and Machining Production

A. Chen, Jason T. Lee, Chun-Hung Wu
Operations and Supply Chain Management An International Journal
Manufacturing Process and Optimization
article

Evaluating MTO Order Economic Performance for Parts Processing and Machining Production

A. Chen, Jason T. Lee, Chun-Hung Wu
article en

Abstract

In a Taiwan metal parts processing company, orders often involve customization, tight deadlines, and small quantities, leading to additional costs that can distort profit assessment during quoting and production.This case study employs Data Envelopment Analysis (DEA) to assess how different types of make-to-order (MTO) orders impact costs and profits.Mass production type benefit from operational experience, enabling efficiency improvements.However, research and development (R&D) orders pose challenges due to unforeseeable factors like production failures and rework processes.We suggest classifying R&D orders based on complexity, customer requirements, and material types.Three key approaches for assessing order benefits include evaluating cost-effectiveness between in-house production and outsourcing, streamlining processes for efficiency, and integrating risk considerations into quotation accuracy and manufacturing cost analysis.

Operations and Supply Chain Management An International Journal
Chung Yuan Christian University (TW), Marist University (US)
National Science Council, Ministry of Science and Technology, Taiwan, Chung-Shan Institute of Science and Technology
Decent work and economic growth
Openalex Percentile: Top 63%
Manufacturing Process and Optimization
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