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Supply chain management strategies for short life cycle products
Bibliografi
Author:
Jain, Nikhil Trishpal
;
Matsuo, Hirofumi
(Advisor)
Topik:
BUSINESS ADMINISTRATION
;
MANAGEMENT|BUSINESS ADMINISTRATION
;
MARKETING
Bahasa:
(EN )
ISBN:
0-599-03409-2
Penerbit:
THE UNIVERSITY OF TEXAS AT AUSTIN
Tahun Terbit:
1998
Jenis:
Theses - Dissertation
Fulltext:
9905757.pdf
(0.0B;
17 download
)
Abstract
This research addresses issues pertaining to the management of supply chains in a short life cycle environment. Shorter product life cycles present new challenges to managing production and logistics not adequately addressed in supply chain literature. This dissertation attempts to bridge this gap in the literature by developing models that incorporate the unique characteristics of fast-paced industries. Moreover, we explore the supply chain issues from a cross-functional perspective by integrating marketing and operational decisions. In the first part of this research, we investigate conditions under which it is profitable for manufacturers to disregard Laggards--customers who buy a product towards the end of its life cycle. We base our study in the context of the business environment faced by direct sales manufacturers in the personal computer industry. Using an analytical model that integrates innovation diffusion dynamics with supply-side dynamics we provide a systematic approach that can guide firms in making decisions on the portion of the potential market that they should plan to serve. The analysis also provides a characterization of the optimal procurement policy over the life cycle of the product. In the second part of the research, we compare the direct and indirect models of distribution for short life cycle products. First, we develop optimal inventory policy of an indirect manufacturer by explicitly taking into account the stochastic demand process transferred by the retailer to the manufacturer. Second, we demonstrate that due to the special inventory cost structure of the technology-based short life cycle products, inclusion of an additional stage in the distribution channel has a significant negative impact on the total supply chain costs. Finally, we offer an explanation for demand distortion that can occur in short life cycle supply chains. In the third study, we develop a model that takes advantage of real time demand information in making inventory management decisions. Using time series demand data from a personal computer manufacturer, we develop a methodology to estimate the distribution of demand. We then formulate a finite horizon stochastic dynamic program that dynamically adjusts inventory levels using the updated demand information. Solution of the dynamic program indicates that significant savings in inventory-related costs can be realized by using the proposed methodology.
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