Analytical Modeling Research in Fashion Business by Tsan-Ming Choi PDF

By Tsan-Ming Choi

ISBN-10: 9811010129

ISBN-13: 9789811010125

ISBN-10: 9811010145

ISBN-13: 9789811010149

This ebook contains either theoretical effects and alertness situations of analytical modeling established examine with regards to the style and cloth company. It responds to demands deeper theoretical foundations as a ramification of analysis technique in a box that has up to now as a rule depended on case stories and empirical research. even though there are an increasing number of comparable guides which hire an analytical method in accomplishing theoretical and utilized examine within the model and fabric company, this ebook fills a vital hole by way of offering a complete reference resource that introduces the technique and offers cutting-edge findings at the subject. overlaying a tremendous and well-established undefined, Analytical Modeling examine in type Business is a pioneering textual content and crucial analyzing for researchers and practitioners within the style and textiles alike.

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A. Diggins et al. than offsets the total transferring costs from the retailer (handling cost) and consumers (cost incurred when they return the product) related to the product return. Nizovtsev and Novshek (2004) considered a two-period problem with two types of customers: high value and low value. Each type of customers includes some who has a portion that will not be satisfied by the product. They showed that extending the customer base in the second period by using a money-back guarantee can be optimal only if a monopolist faces an uncertain distribution of buyers.

1 % of total returns in US retailing in 2014. Piron and Young (2000) found that 18 % of customers they investigated had experience of product borrowing, while a majority (98 %) of the borrowed products were apparel items. g. to attend a wedding) was the main reason for fashion product “borrowing”. Specifically, customers who carry out product “borrowing” often return high-priced suits or dresses immediately after they use them for special occasions (Piron and Young 2000). Through interviews and data analysis; Harris (2008) identified ten main factors that appear to be related to customers’ likelihood of fraudulently returning products.

Thus, before deployment, we have to see how well the model and its solution perform. , simulation studies. , t test for comparing means). In Step 4, an essential task is to verify and validate the solution. , the computerized algorithm) runs smoothly as planned. Validation means that whether the model and the derived solution are consistent with the reality. Observe that for the testing in Step 4, we should employ the real data collected from the fashion companies. The testing results, if positive, can hence provide convincing support to the model and the solution under tests.

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Analytical Modeling Research in Fashion Business by Tsan-Ming Choi


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