Article
Management
Fei Fang, Tri-Dung Nguyen, Christine S. M. Currie
Summary: This paper develops a model for dynamic pricing and inventory decisions for multiple substitutable and perishable products under a multiple-period lifetime. By maximizing the total expected profit over the lifetime, optimal order quantities and prices are obtained. Analytical properties of the optimal policy are provided, and experimental results show the benefits of considering pricing and inventory decisions simultaneously for substitutable products.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
Boqian Song, Michael Z. F. Li, Weifen Zhuang
Summary: This study examines the impact of dynamic channel control and pricing on the distribution of a single perishable product through multiple channels, using stylized linear functions and two types of commissions to analyze dependent demand flows from different channels. It is found that the magnitude of the opportunity cost of capacity uniquely determines the optimal channel control strategy and pricing decisions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
Jianxiong Zhang, Jing Lu, Guowei Zhu
Summary: This study presents a multi-location inventory model for a firm operating multiple stores selling perishable items. The optimal dynamic pricing and shipment consolidation policies are explored, and it is found that both strategies can increase the firm's profitability, with substitutable effects.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Management
Wenchang Zhu, Huseyin Topaloglu
Summary: This study focuses on network revenue management problems with flexible products, aiming to find a policy to maximize the total expected revenue and ensure feasible route assignments for customers with purchased products. The developed policy is the first with a performance guarantee under flexible products.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Review
Engineering, Industrial
Alessandra Cantini, Mirco Peron, Filippo De Carlo, Fabio Sgarbossa
Summary: Configuring supply chains is crucial for the success of spare parts retailers. This paper introduces a new methodology called SP-LACE, which reviews the configuration of spare parts supply chains and evaluates their economic benefits. The results indicate that SP-LACE provides economic benefits and ensures high service levels, overcoming the limitations of existing literature methodology.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Mathematics
Xueyi Guan, Jin Qin, Chenghui Mao, Wenliang Zhou
Summary: In recent years, railway passenger transport enterprises have been exploring various operation and management strategies to improve service quality and market competitiveness. However, there are still shortcomings in the current research on determining the pricing mechanism and formulating a reasonable price. This paper systematically reviews the literature related to railway pricing and proposes innovative directions to solve existing problems.
Article
Operations Research & Management Science
Ben Li, Xiaolong Guo, Liang Liang
Summary: To mitigate the cost of overbooking penalties, airlines are adopting an intelligence-based opaque selling strategy to coordinate capacities among flights. This strategy involves setting opaque seats on several flights based on consumer attributes estimated from big data. The effectiveness of this strategy is explored using a newsvendor problem model, and the results show that adjusting capacities and prices according to demand variance and consumer preference variation can lead to a 40% profit increment compared to conventional strategies.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Mahmood Vahdani, Zeinab Sazvar
Summary: During the COVID-19 period, retailers increasingly turn to online selling platforms and social technologies for marketing, affecting potential customers' purchasing decisions and product demand through word-of-mouth communication. Therefore, it is crucial to study the coordinated dynamic pricing and inventory control problem under social learning.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Kebing Chen, Tiaojun Xiao, Shengbin Wang, Dong Lei
Summary: Our study develops an inventory model for perishable products with a two-period shelf-life and compares the performance of expedited orders and returns in managing inventory risk. We find that expedited orders are better at controlling wastage risk but result in higher shortage risk, while a combination of both plans can optimize inventory management to the fullest extent.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Elaheh Mehrzadegan, Mahsa Ghandehari, Saeedeh Ketabi
Summary: This article integrates dynamic slot allocation and inventory management to improve liner shipping decisions. Multi-leg revenue management concepts are used to model the transportation of full and empty containers, considering market distinctions, service diversity, and no-shows. The results show a significant increase in profit compared to the traditional first come first serve (FCFS) method.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Yang Yang, Wan -Ling Chu, Cheng-Hung Wu
Summary: This research proposes a revenue management framework for perishable products, which can quickly learn customer preferences before the selling season begins and generate optimal pricing decisions. The numerical study shows that the revenue difference caused by unknown preferences is small compared to the known preferences.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Management
Jingxian Chen, Liang Liang, Samar Mukhopadhyay, Dong-qing Yao
Summary: This paper investigates three pricing strategies for selling digital music albums, developing mathematical models and iteration algorithms for optimality. Through a database of numerical results, a decision tree model is established to determine the appropriate strategy for various conditions.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Management
Moutaz Khoujaa, Yuefeng Li, Jing Zhou
Summary: Many retailers use nonlinear pricing, such as Buy one, get one for 50% off (BOGO), to increase sales and counter strategic consumer behavior. This study analyzes the application of BOGO in the newsvendor model and determines its optimal discount and impact on the retailer's profit. The results show that BOGO reduces strategic consumers' chances of obtaining a discount and their incentive to wait, leading the retailer to order a larger quantity compared to a price reduction strategy. The study also highlights the optimal timing of offering BOGO and the robustness of the findings to different factors.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Economics
Sara Babaee, Mojtaba Araghi, Borzou Rostami
Summary: This paper studies the joint pricing and transportation problem in a perishable product supply chain, proposing sequential and integrated systems models to solve the problem. Through numerical experiments, it is found that the integrated optimization model performs better than the sequential model in terms of profit and product waste. Moreover, the quality sensitivity of customers and their tolerance for imperfect products affect the waste to sales ratio.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Operations Research & Management Science
MirMohammad Musavi, Ata Allah Taleizadeh, Ali Bozorgi-Amiri, Mohammad Sadegh Moshtagh
Summary: This study examines the pricing decision problem for organic and conventional agricultural products in a food supply chain, focusing on different selling channel structures. The results show that the coordinated dual-channel structure leads to higher profits for the retailer, the online store, and the total supply chain.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Ki Hong Kim, Young Jae Han, Sugil Lee, Sung Won Cho, Chulung Lee
Article
Medicine, General & Internal
Kap Su Han, Won Young Kim, Su Jin Kim, Jinwoo Jeong, Hyunggoo Kang, Chulung Lee, Sung Woo Lee
JOURNAL OF THE KOREAN MEDICAL ASSOCIATION
(2020)
Article
Green & Sustainable Science & Technology
Jumi Hwang, Kyung Hee Kim, Jong Gyu Hwang, Sungchan Jun, Jiwon Yu, Chulung Lee
Article
Green & Sustainable Science & Technology
Jun Hong Park, Hyunseog Chung, Ki Hong Kim, Jin Ju Kim, Chulung Lee
Summary: This paper analyzes the relationship between technological capability and financial performance of technology-intensive firms in the semiconductor industry through regression analysis. The study reveals different effects of technological intensity and technological diversity on financial performance for firms divided into high and low groups based on technological asset and technological efficiency.
Article
Chemistry, Multidisciplinary
Sungchan Jun, Seong Ho Han, Jiwon Yu, Jumi Hwang, Sangbaek Kim, Chulung Lee
Summary: This study identified promising but currently vacant technologies for a Truck on Flatcar or Truck on Freight Train (TFTFT) system by analyzing patent information and established technology development strategies using network analysis from macro- and microperspectives. The research extracted relevant keywords, preprocessed patent data, developed patent maps, and confirmed promising patent vacuums. Two promising patent vacuums were identified in the technical fields of rail vehicles suitable for TFTFT systems and equipment and systems for freight transfer to rail vehicles. The proposed procedure and analysis method provide valuable insights for R&D and technology development strategies for a TFTFT system.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Hyeonu Im, Jiwon Yu, Chulung Lee
Summary: Despite high ship utilization and peak activity at import container terminals, truck congestion has led to the development of a Truck Appointment System (TAS). Numerical experiments show that a cooperative model between transport companies and terminal operators is more efficient than individual decision-making in reducing truck congestion.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Yunkoo Cho, Young Jae Han, Jumi Hwang, Jiwon Yu, Sangbaek Kim, Chulung Lee, Sugil Lee, Kyung Pyo Yi
Summary: Based on patent data related to electric motors applied to railway vehicles, this research aims to forecast vacant technologies from the perspective of technology convergence for establishing R&D directions for new technologies. Through analyzing patent data, vacant technologies in the field of convergence technology for electric motors of railway vehicles are identified.
Article
Green & Sustainable Science & Technology
Hyewon Yang, Young Jae Han, Jiwon Yu, Sumi Kim, Sugil Lee, Gildong Kim, Chulung Lee
Summary: The aim of this research was to identify the core technologies for the future transport of hydrogen fuel cells, providing support for research and development policy, investment direction, and informing researchers about future technology trends.
Article
Green & Sustainable Science & Technology
Eunsuk Chun, Sungchan Jun, Chulung Lee
Summary: This study suggests methodologies for identifying promising and vacant technologies on smart farms using patent information analysis. It also proposes a technology roadmap for smart farms through network analysis. By analyzing patent data, important technology topics were identified, and vacant technologies were pinpointed within smart farm technology groups. This procedure and analysis method provide valuable insights for developing research and development strategies in the field of smart farm technology.
Article
Green & Sustainable Science & Technology
Yong-Jae Lee, Young Jae Han, Sang-Soo Kim, Chulung Lee
Summary: This study predicts vacant technologies in the field of railway main transformers through patent analysis, and identifies blowerless technology, oil-free technology, and solid-state technology as three promising vacant technology areas.
Article
Emergency Medicine
Sijin Lee, Hyun Ji Park, Jumi Hwang, Sung Woo Lee, Kap Su Han, Won Young Kim, Jinwoo Jeong, Hyunggoo Kang, Armi Kim, Chulung Lee, Su Jin Kim
Summary: The overcrowding of the emergency department has negatively impacted critically ill patients and healthcare systems. This study aims to develop predictive models for identifying critical illness in different stages using data from the Korean National Emergency Department Information System.
EMERGENCY MEDICINE INTERNATIONAL
(2023)
Article
Green & Sustainable Science & Technology
Koopo Kwon, Sungchan Jun, Yong-Jae Lee, Sanghei Choi, Chulung Lee
Summary: The rapid advancement of digital technologies has fundamentally changed the competitive dynamics of the logistics industry. A technology strategy is essential for digitization, and identifying opportunities and threats of technology development through technology trend exploration is important for technology strategy. This study aims to identify opportunities and areas for technology development through patent data in establishing technology strategies. The proposed framework utilizing the Word2Vec algorithm and LDA clustering is expected to predict technological change and derive promising technologies for establishing technology roadmaps in logistics companies.
Article
Computer Science, Information Systems
Woong Kim, Sungchan Jun, Sumin Kang, Chulung Lee
Article
Green & Sustainable Science & Technology
Jiwon Yu, Jong-Gyu Hwang, Jumi Hwang, Sung Chan Jun, Sumin Kang, Chulung Lee, Hyundong Kim
Article
Business
Jaesik Lee, Chulung Lee, Jaejin Kim, Seiho Kim, Hyeonu Im
JOURNAL OF ELECTRONIC COMMERCE IN ORGANIZATIONS
(2019)
Article
Engineering, Industrial
Hiroshi Matsuhisa, Nobuo Matsubayashi
Summary: This study investigates the formation of an alliance between competing manufacturers and a monopolistic platform retailer, and analyzes the impact of the degree of differentiation among manufacturers on the formation of the alliance and the profitability of the retailer.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Lingxuan Kong, Ge Zheng, Alexandra Brintrup
Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu
Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yu Du, Jun-qing Li
Summary: This study investigates the group scheduling of a distributed flexible job shop problem using the concrete precast process. The proposed solution utilizes three coordinated double deep Q-networks (DQN) as a learn-to-improve reinforcement learning approach. The algorithm shows superiority in minimizing costs and energy consumption.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Xiaoyu Yan, Weihua Liu, Ou Tang, Jiahe Hou
Summary: This study analyzes the market amplification effect and the impact of entrant's overconfidence on a two-sided platform. The results show that overconfident entrants can lead to price increases and benefit both the existing firms and themselves to a certain extent.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Illya Kaynov, Marijn van Knippenberg, Vlado Menkovski, Albert van Breemen, Willem van Jaarsveld
Summary: The One-Warehouse Multi-Retailer (OWMR) system is a typical distribution and inventory system. Previous research has focused on heuristic reordering and allocation strategies, which are time-consuming and problem-specific. This paper proposes a Deep Reinforcement Learning (DRL) algorithm for OWMR problems, which infers a multi-discrete action distribution and improves performance with a random rationing policy.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yimeng Sun, Ruozhen Qiu, Minghe Sun
Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Anas Neumann, Adnene Hajji, Monia Rekik, Robert Pellerin
Summary: This paper presents a new mathematical formulation for planning and scheduling activities of Engineer-To-Order (ETO) projects, along with a new ETO strategy to reduce the impacts of design uncertainty. The study proposes a hybrid Layered Genetic Algorithm combined with an adaptive Lamarckian learning process (LLGA) and compares it with the branch-and-cut procedure of CPLEX. The results show good performance of the proposed mathematical model for small and medium-sized instances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Thilini Ranasinghe, Chanaka D. Senanayake, Eric H. Grosse
Summary: Production systems are undergoing transformative changes, necessitating adaptability from human workers. This study developed an analytical model to account for stochastic processing times and learning heterogeneity, revealing insights into system performance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha
Summary: Black Swan events such as the COVID-19 pandemic and the Suez Canal blockage have a significant impact on firms' technology adoption decisions, especially in terms of disruptions and digitalization in the supply chains. This study investigates the influence of institutional forces and environmental contingencies on supply chain digitalization from an institutional and contingency theory perspective. The findings emphasize the importance of organizational readiness and people readiness, including top management involvement and employee training, in facilitating digitalization.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Fabio Neves-Moreira, Pedro Amorim
Summary: Omnichannel retailers are using stores as distribution centers to provide faster online order fulfillment services. However, in-store picking operations can impact the offline customer experience. To address this, we propose a Dynamic In-store Picker Routing Problem (diPRP) that minimizes customer encounters while fulfilling online orders. Our solution approach combines mathematical programming and reinforcement learning to find efficient picking policies that reduce customer encounters.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Richard Kraude, Ram Narasimhan
Summary: In this study, the relationship between Vertical Integration (VI) and Environmental Performance (EP) is examined, revealing that highly integrated firms produce less waste but engage in fewer environmental initiatives. These findings are crucial for understanding the impact of stakeholder exposure on organizational behavior.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Review
Engineering, Industrial
Korina Katsaliaki, Sameer Kumar, Vasilis Loulos
Summary: This research conducts a systematic literature review (SLR) and content analysis on Supply Chain Coopetition (SCC) through the PRISMA framework. It examines the theory of coopetition and organizational relationships in intra-firm and inter-firm supply chains, focusing on collaboration between rival manufacturers. The study identifies structures and mechanisms of coopetition, such as buyer-supplier coopetition, supply networks coopetition, and production and distribution/logistics coopetition. It provides a holistic approach to SCC management practices and serves as a guide for future research.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
