EFFICIENCIES OF IN-HOUSE MANUFACTURING AND OUTSOURCING
Chiang Kao
Additional contact information
Chiang Kao: National Cheng Kung University, Taiwan
in ABEM Conference Proceedings from Academy of Business and Emerging Markets (ABEM), Canada, currently edited by Satyendra Singh
Abstract:
Garment manufacturing has a network structure when both outsourcing and in-house manufacturing are considered. The conventional data envelopment analysis (DEA) models for measuring efficiency ignore operations of the component processes, and thus are unable to carry out a detailed analysis. This paper develops a network DEA model, taking the internal structure of the network system into account, to measure the system and process efficiencies at the same time. The efficiency of the system can be decomposed into those of the processes, and the inefficient ones can thus be identified. The data of a garment manufacturing firm is used for illustration. For the two major operations of the firm, cutting and sewing, the former is less efficient than the latter, although it is also less sophisticated. The difference between the efficiencies of in-house manufacturing and outsourcing for cutting is not significant. For sewing, in contrast, in-house manufacturing is less efficient than outsourcing. This indicates that, in addition to the lower cost, outsourcing is also faster.
Keywords: EFFICIENCY; MANUFACTURING; OUTSOURCING (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.abem.ca/wp-content/uploads/2018/09/abe ... ence-proceedings.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ris:abemcp:023378
Access Statistics for this book
More books in ABEM Conference Proceedings from Academy of Business and Emerging Markets (ABEM), Canada Edinburgh House, 708-99 Wellington Crescent, Winnipeg, R3M0A2, Canada.
Bibliographic data for series maintained by Satyendra Singh ().