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Mathematics
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Advances in Modern Supply Chain Management and Information Technology
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Advances in Modern Supply Chain Management and Information Technology

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 2425

Special Issue Editors

Dr. Meichuan Cheng

E-Mail Website
Guest Editor
Department of Information Management, Fu Jen Catholic University, New Taipei City 242, Taiwan
Interests: supply chain management; optimization; data analysis
Dr. Alexis P.I. Goh

E-Mail Website
Guest Editor Assistant
EMBA Program, College of Management, National Yunlin University of Science and Technology, Douliu City 64002, Taiwan
Interests: project management; IT operations; computer-assisted learning; application of AI in education and management; interdisciplinary

Special Issue Information

Dear Colleagues,

This Special Issue explores the latest advancements in supply chain management (SCM) and information technology (IT) and their evolving relationship. We encourage submissions that utilize mathematical frameworks and theoretical models to investigate areas like green supply chain and information technology integration, subscription economy, Internet of Things, sustainability assessment and resilience analysis in supply chain management, computer graphics and visualization, information retrieval and NLP, data science and big data analysis, optimization algorithm, and operations’ research and optimization. Related papers demonstrating efficiency, optimization, and sustainability in SCM or IT are also welcome.

Dr. Meichuan Cheng
Guest Editor

Dr. Alexis P.I. Goh
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • inventory management
  • green supply chain and information technology integration
  • reverse logistics and sustainability
  • subscription economy
  • Internet of Things in supply chain management
  • sustainability assessment and resilience analysis of critical infrastructures
  • computer graphics and visualization
  • network theory and optimization
  • information retrieval and natural language processing
  • optimization algorithm
  • operations research and optimization

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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21 pages, 1206 KiB  
Article
Optimal Carbon Pricing and Carbon Footprint in a Two-Stage Production System Under Cap-and-Trade Regulation
by Huo-Yen Tseng, Yung-Fu Huang, Chung-Jen Fu and Ming-Wei Weng
Mathematics 2024, 12(22), 3567; https://doi.org/10.3390/math12223567 - 15 Nov 2024
Cited by 1 | Viewed by 914
Abstract
Integrating low-carbon design into products is crucial for reducing carbon emissions throughout their life cycle and promoting sustainable development. Addressing the uncertainty in the carbon footprint resulting from the unknown choice of product material solutions. This paper considers ABC (activity-based costing) along with [...] Read more.
Integrating low-carbon design into products is crucial for reducing carbon emissions throughout their life cycle and promoting sustainable development. Addressing the uncertainty in the carbon footprint resulting from the unknown choice of product material solutions. This paper considers ABC (activity-based costing) along with the components’ carbon footprint and scrap return issues to illustrate the above challenge in a two-stage production-inventory system with imperfect processes. We determine the optimal production and sales strategies that maximize total profit per unit time. An algorithm is developed to identify these optimal solutions. To illustrate the effectiveness of the proposed model and algorithm, two numerical examples from the Taiwan die casting industry are presented. Additionally, a sensitivity analysis is conducted to provide valuable managerial insights. Full article
(This article belongs to the Special Issue Advances in Modern Supply Chain Management and Information Technology)
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23 pages, 1966 KiB  
Article
A Study on the Production-Inventory Problem with Omni-Channel and Advance Sales Based on the Brand Owner’s Perspective
by Jialiang Pan, Chi-Jie Lu, Wei-Jen Chen, Kun-Shan Wu and Chih-Te Yang
Mathematics 2024, 12(19), 3122; https://doi.org/10.3390/math12193122 - 6 Oct 2024
Viewed by 843
Abstract
This study explores a supply chain product-inventory problem with advance sales under the omni-channel strategies (physical and online sales channels) based on the brand owner’s business model and develops corresponding models that have not been proposed in previous studies. In addition, because the [...] Read more.
This study explores a supply chain product-inventory problem with advance sales under the omni-channel strategies (physical and online sales channels) based on the brand owner’s business model and develops corresponding models that have not been proposed in previous studies. In addition, because the brand owner is a member of the supply chain, and has different handling methods for defective products or products returned by customers in various retail channels, defective products or returned products are included in the supply chain models to comply with actual operating conditions and fill the research gap in the handling of defective/returned products. Regarding the mathematical model’s development, we first clarify the definition of model parameters and relevant data collection, and then establish the production-inventory models with omni-channel strategies and advance sales. The primary objective is to determine the optimal production, delivery, and replenishment decisions of the manufacturer, physical agent, and online e-commerce company in order to maximize the joint total profits of the entire supply chain system. Further, this study takes the supply chain system of mobile game steering wheel products as an example, uses data consistent with the actual situation to demonstrate the optimal solutions of the models, and conducts sensitivity analysis for the proposed model. The findings reveal that increased demand shortens the replenishment cycle and raises order quantity and shipment frequency in the physical channel, similar to the online channel during normal sales. However, during the online pre-order period, higher demand reduces order quantity and cycle length but still increases shipment frequency. Rising ordering or fixed shipping costs lead to higher order quantity and cycle length in both channels, but variable shipping costs in the online channel reduce them. Market price increases boost order quantity and frequency in the online channel, while customer return rates significantly impact inventory decisions. Full article
(This article belongs to the Special Issue Advances in Modern Supply Chain Management and Information Technology)
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