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Optimizing Pricing, Pre-Sale Incentive, and Inventory Decisions with Advance Sales and Trade Credit under Carbon Tax Policy

التفاصيل البيبلوغرافية
العنوان: Optimizing Pricing, Pre-Sale Incentive, and Inventory Decisions with Advance Sales and Trade Credit under Carbon Tax Policy
المؤلفون: Mei-Chuan Cheng, Hui-Chiung Lo, Chih-Te Yang
المصدر: Mathematics, Vol 11, Iss 11, p 2534 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Mathematics
مصطلحات موضوعية: inventory system, trade credit, advance sales, discount rate, carbon emission schemes, carbon tax, Mathematics, QA1-939
الوصف: This paper aims to propose a comprehensive inventory model including pricing, pre-sale incentives, advance sales, trade credit, and carbon tax policies. The novelty of this study lies in its holistic approach to addressing these relevant and practical issues. The major purpose is to determine the optimal pricing, pre-order discount, and replenishment decisions to maximize the total profit under carbon tax policy. Through theoretical analysis, this study develops several theorems to demonstrate properties of optimal solutions and an easy-to-use algorithm to derive optimal solutions. Further, several numerical examples are provided to demonstrate the solution process for different scenarios and the effects of various parameters on optimal alternatives and solutions. This study provides companies management implications to address the challenges posed by the global movement to reduce carbon emissions while maintaining their profitability.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2227-7390
81132255
Relation: https://www.mdpi.com/2227-7390/11/11/2534; https://doaj.org/toc/2227-7390
DOI: 10.3390/math11112534
URL الوصول: https://doaj.org/article/61a8113225584dcc9dc2f311694e99b1
رقم الانضمام: edsdoj.61a8113225584dcc9dc2f311694e99b1
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22277390
81132255
DOI:10.3390/math11112534