Conservative Profitability Evaluation for Newsboy-type Products with Bootstrap Methods

Rung Hung Su, Chia-Huang Wu*, Meng Hsuan Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In the field of inventory management, a profitability evaluation for ordered products is crucial to retailer revenue. Formulating such evaluations requires determining an appropriate order quantity, while ensuring that the product has high profitability potential. The achievable capacity index (ACI) provides a simple breakdown of profitability suitable for newsboy-type products with probabilistic distributed demand under the optimal order quantity. In this study, we investigated the lower confidence bound of ACI (LCBA) to obtain a conservative evaluation of profitability. Obtaining an explicit formula for the LCBA is difficult; therefore, we adopted parametric bootstrap methods to approximate the value for the LCBA. We also created a computational algorithm using R software to simulate the performances of various parametric bootstrap methods. Coverage rates and the corresponding ratios for various sample sizes and expected ACI values were tabulated to facilitate the selection of a suitable method and decide a required sample size with a conservative estimate. An illustrative example was presented to demonstrate the applicability of the proposed method and provide managerial insights.

Original languageEnglish
Pages (from-to)74-94
Number of pages21
JournalQuality Technology and Quantitative Management
Volume19
Issue number1
DOIs
StatePublished - Jan 2022

Keywords

  • achievable capacity index
  • conservative profitability evaluation
  • Inventory control
  • parametric bootstrap method

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