Collection Title:	SIU Thesis
Title :	A Decision Making Model for Outsourcing Flexible Automation System in Automotive Industry to SMES Entrepreneurs and Executive in Thailand
Material Type:	printed text
Authors:	Somrerk Kanwivat, Author ; Fuangfa Amponstira, Associated Name ; Eksiri Niyomsilp, Associated Name
Publisher:	Bangkok: Shinawatra University
Publication Date:	2020
Pagination:	ix, 124 p.
Layout:	Tables, ill.
Size:	30 cm.
Price:	500.00 Baht.
General note:	SIU THE: SOM-PhD-M-2020-06 Thesis. [PhD.[Philosophy in Management]].-- Shinawatra University, 2020
Languages :	English (eng)
Descriptors:	[LCSH]Automotive industry and trade -- Thailand [LCSH]Decision-making [LCSH]Small and medium enterprises -- Thailand
Keywords:	Flexible Automation System, Process Improvement, Competitive Priority, Government Support and S Curve, Long-Term Capacity
Abstract:	At present, the competition in automotive industry is highly competitive, plus, most of SMEs cannot survive by merely relying on their source of production. Hence, using contractor is considered an effective strategy for handling the competition. Therefore, we created a questionnaire researching on our target group, which included individuals involving in automotive parts industry. This is to study 1) factors that influence decision-making of SME entrepreneurs and executives to change their current manufacturing system to Flexible Automation System (FAS) by using outsourcing, as well as, 2) logics and aspects of entrepreneurs and executives who propose the idea of changing the current system to FAS to procure and create a model of FAS Maturity. We found that executives whom proceeded the process all by themselves required higher capital and they also had confidence that they could handle the changing of products easily and rapidly. Moreover, the integration in cost unit was also low. On the other hand, if they used outsourcing, no capital was needed. However, it was in exchange for a long period of planning and if there were any changes, they had to not affect overall supply chain of the contractor. Plus, the cost unit of this way was higher than the other mentioned. At the same time, we discovered that investment factors of entrepreneurs in the target group were in high level. When considering topic by topic, it showed that the main point was to recognize manufacturing policy that the government would support SMEs in any kinds of investment. For example, the industry policy of Thailand 4.0 and the S Curve direction have both direct and indirect effects on executives’ decision-making in seeking manufacturing involving FAS and it is found that government support have a direct effect in positive to long-term capacity and the statistical significance is at the level of 0.01 and path coefficient has the highest value at 0.785. For problems in this research, we surveyed the target group in the supply chain of automotive parts industry. The significant finding illustrated that factors that mostly affect entrepreneurs’ decision-making are competitive factors in quality, price, durability and quantity or flexibility of flexible automation system. However, an external factor that matters is Thailand’s 20-year strategy, which mentioned that the government will support automotive industry As a result, this research found that executives should have standards to manage internal issues, such as improvement processes, before relying on any external factors. Thus, they can succeed in making a decision whether they need Flexible Automation System procurement outsourcing. Structural equation model have Influencing to A Decision Making Model for outsourcing Flexible Automation System(FAS)in automotive Industry to SMEs Entrepreneurs and Executives in Thailand , found that the components of all 5 factors of latent variable the Process Improvement, Government Support, Long-Term Capacity ,Competitive Priority ,Adopting Flexible Automation and Confirmatory model of the variable question is consistent with the empirical data which can be considered from 2 = 275.34, df = 251, p-value = 0.13952, RMSEA = 0.018, GFI =0.936 และ AGFI = 0.911 In conclusion, every question has passed the criteria and can be used to analyze the SEM of the research. Influencing to A Decision Making Model for outsourcing Flexible Automation System (FAS)in automotive Industry to SMEs Entrepreneurs and Executives in Thailand. The results form research to consistent with the findings with statistically significant relationships between all paths.
Curricular :	BBA/MBA/PhDM
Record link:	http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=28040

SIU Thesis. A Decision Making Model for Outsourcing Flexible Automation System in Automotive Industry to SMES Entrepreneurs and Executive in Thailand [printed text] / Somrerk Kanwivat, Author ; Fuangfa Amponstira, Associated Name ; Eksiri Niyomsilp, Associated Name . - [S.l.] : Bangkok: Shinawatra University, 2020 . - ix, 124 p. : Tables, ill. ; 30 cm.
500.00 Baht.
SIU THE: SOM-PhD-M-2020-06
Thesis. [PhD.[Philosophy in Management]].-- Shinawatra University, 2020
Languages : English (eng)

Descriptors:	[LCSH]Automotive industry and trade -- Thailand [LCSH]Decision-making [LCSH]Small and medium enterprises -- Thailand
Keywords:	Flexible Automation System, Process Improvement, Competitive Priority, Government Support and S Curve, Long-Term Capacity
Abstract:	At present, the competition in automotive industry is highly competitive, plus, most of SMEs cannot survive by merely relying on their source of production. Hence, using contractor is considered an effective strategy for handling the competition. Therefore, we created a questionnaire researching on our target group, which included individuals involving in automotive parts industry. This is to study 1) factors that influence decision-making of SME entrepreneurs and executives to change their current manufacturing system to Flexible Automation System (FAS) by using outsourcing, as well as, 2) logics and aspects of entrepreneurs and executives who propose the idea of changing the current system to FAS to procure and create a model of FAS Maturity. We found that executives whom proceeded the process all by themselves required higher capital and they also had confidence that they could handle the changing of products easily and rapidly. Moreover, the integration in cost unit was also low. On the other hand, if they used outsourcing, no capital was needed. However, it was in exchange for a long period of planning and if there were any changes, they had to not affect overall supply chain of the contractor. Plus, the cost unit of this way was higher than the other mentioned. At the same time, we discovered that investment factors of entrepreneurs in the target group were in high level. When considering topic by topic, it showed that the main point was to recognize manufacturing policy that the government would support SMEs in any kinds of investment. For example, the industry policy of Thailand 4.0 and the S Curve direction have both direct and indirect effects on executives’ decision-making in seeking manufacturing involving FAS and it is found that government support have a direct effect in positive to long-term capacity and the statistical significance is at the level of 0.01 and path coefficient has the highest value at 0.785. For problems in this research, we surveyed the target group in the supply chain of automotive parts industry. The significant finding illustrated that factors that mostly affect entrepreneurs’ decision-making are competitive factors in quality, price, durability and quantity or flexibility of flexible automation system. However, an external factor that matters is Thailand’s 20-year strategy, which mentioned that the government will support automotive industry As a result, this research found that executives should have standards to manage internal issues, such as improvement processes, before relying on any external factors. Thus, they can succeed in making a decision whether they need Flexible Automation System procurement outsourcing. Structural equation model have Influencing to A Decision Making Model for outsourcing Flexible Automation System(FAS)in automotive Industry to SMEs Entrepreneurs and Executives in Thailand , found that the components of all 5 factors of latent variable the Process Improvement, Government Support, Long-Term Capacity ,Competitive Priority ,Adopting Flexible Automation and Confirmatory model of the variable question is consistent with the empirical data which can be considered from 2 = 275.34, df = 251, p-value = 0.13952, RMSEA = 0.018, GFI =0.936 และ AGFI = 0.911 In conclusion, every question has passed the criteria and can be used to analyze the SEM of the research. Influencing to A Decision Making Model for outsourcing Flexible Automation System (FAS)in automotive Industry to SMEs Entrepreneurs and Executives in Thailand. The results form research to consistent with the findings with statistically significant relationships between all paths.
Curricular :	BBA/MBA/PhDM
Record link:	http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=28040