Title page for ETD etd-05042000-23110007

Type of Document Dissertation
Author Lee, Yuri
Author's Email Address yulee3@krc-ri.com
URN etd-05042000-23110007
Title Study of Relationships between Apparel Manufacturers' Supply Chain Management, Company Characteristics, and Inventory Performance
Degree PhD
Department Near Environments
Advisory Committee
Advisor Name Title
Kincade, Doris H. Committee Chair
Badinelli, Ralph D. Committee Member
Chen-Yu, Jessie H. Committee Member
Giddings, Valerie L. Committee Member
Singh, Kusum Committee Member
  • Inventoy Performance
  • Apparel manufacturer
  • Supply Chain Management
Date of Defense 2000-05-02
Availability unrestricted
The purpose of this study is to examine apparel manufacturers' inventory performance, which is one of the major performance indicators of supply chain management (SCM) with the consideration of company characteristics. The objectives of the study are (a) to identify the level of SCM activities of apparel manufacturers, (b) to examine the differences of apparel manufacturers' characteristics (i.e., product characteristic, production system, fabric suppliers, retail customers) according to the level of SCM activities, and (c) to illustrate how the SCM activities and apparel manufacturers' characteristics relate to the inventory management performance in terms of levels within the type (i.e., raw material, work-in-process, finished goods). Through an intensive literature review six SCM dimensions and 26 SCM activities were identified and four company characteristics selected for the study were found to influence the company performance. Inventory levels within the type were compared as a result of levels of SCM activities and company characteristics. Data were collected via a self-administered mail questionnaire sent to a random proportional stratified sample of 1,195 US apparel manufacturers in SIC 231 to 234. In the data analyses, 93 returned surveys were used with the adjusted response rate of 9.49%.

Cluster analysis was used to identify the SCM activity groups who showed different levels of SCM activities. Factor analysis was used to determine the number of SCM dimensions and SCM activity scales, and to identify the SCM activity level of each cluster. ANOVA, Chi-square, Tukey-test, matched sample t-test, t-test, regression, and correlation were employed to determine the relationships between SCM activity level, company characteristics and inventory levels within the type.

Statistical analyses supported the research hypotheses. Apparel manufacturers' SCM activity level differs and company characteristics are significantly related with the SCM activity level. Company characteristics and SCM activity level are significantly related with the inventory performance. Findings imply that basic goods manufacturers are more likely to see the benefits of SCM activity implementation in inventory performance. Lead-time for fashion goods procurement, production, and delivery takes longer than basic goods and is hard to be shortened. Limitations of the study and suggestions for future study were discussed.

  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  Abstract.pdf 60.16 Kb 00:00:16 00:00:08 00:00:07 00:00:03 < 00:00:01
  Chapter1.pdf 102.37 Kb 00:00:28 00:00:14 00:00:12 00:00:06 < 00:00:01
  Chapter2.pdf 233.87 Kb 00:01:04 00:00:33 00:00:29 00:00:14 00:00:01
  Chapter3.pdf 145.80 Kb 00:00:40 00:00:20 00:00:18 00:00:09 < 00:00:01
  Chapter4.pdf 350.94 Kb 00:01:37 00:00:50 00:00:43 00:00:21 00:00:01
  Chapter5-Ref-vita.pdf 157.67 Kb 00:00:43 00:00:22 00:00:19 00:00:09 < 00:00:01
  Title.pdf 47.46 Kb 00:00:13 00:00:06 00:00:05 00:00:02 < 00:00:01
  TOC.pdf 68.23 Kb 00:00:18 00:00:09 00:00:08 00:00:04 < 00:00:01

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