Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/25447
Title: Identifying the Influential Factors in Applying the Just-in-Time Delivery Method to the Material Supply Chain in Sri Lankan Apparel Companies
Authors: Dissanayaka, D. M. N. D. B.
Kavirathna, C. A.
Keywords: apparel manufacturing companies, implementation barriers, Just in Time method, material supply chain
Issue Date: 2022
Publisher: Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka
Citation: Dissanayaka D. M. N. D. B.; Kavirathna C. A. (2022), Identifying the Influential Factors in Applying the Just-in-Time Delivery Method to the Material Supply Chain in Sri Lankan Apparel Companies, International Research Conference on Smart Computing and Systems Engineering (SCSE 2022), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. 337-343.
Abstract: Most apparel companies are facing inventory problems when storing raw materials and finished goods every year. Just in Time (JIT) delivery method can be an efficient solution for these problems as this method attempts to minimize the inventory level. Although apparel manufacturing companies were attempting to implement JIT delivery method, most of them were unable to sustain it. This paper focuses on giving suggestions to implement JIT method in apparel manufacturing companies. Necessary data was gathered from past studies and interviews with industry experts. Barriers to implementing JIT method and components of JIT method were identified. Thereafter, the most significant barriers and JIT-related components were identified using two separate AHP models. Then, a multiple regression analysis was conducted to identify the relationship between the most significant components of JIT and the significant barriers to JIT. Then, recommendations and implications are discussed for guiding companies to implement JIT method by highlighting significant barriers for each JIT-related component.
URI: http://repository.kln.ac.lk/handle/123456789/25447
Appears in Collections:Smart Computing and Systems Engineering - 2022 (SCSE 2022)

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