Article
Management
Daniel Gartner, Joe Viana, Bahman Rostami Tabar, Dominik Pforringer, Gunther Edenharter
Summary: This article investigates a real problem in hospitals and proposes a mathematical model and decision support tool to optimize material resource planning, reducing costs and ensuring the safety of hospital services. The results show that using reusable devices can contain operational costs and provide prediction and decision support capabilities.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Agriculture, Multidisciplinary
Viet-Ngu Hoang, Trung Thanh Nguyen, Clevo Wilson, Thong Quoc Ho, Uttam Khanal
Summary: The Vietnamese agricultural sector has undergone a structural change with small-scale farmers diversifying their crops, leading to increased efficiency and productivity. Further expansion of vegetable and annual crop production in mountainous areas and rice cultivation in delta and coastal regions is recommended to optimize farm output.
JOURNAL OF INTEGRATIVE AGRICULTURE
(2021)
Article
Business, Finance
Jingfang Zhang, Emir Malikov
Summary: Propelled by financial product innovations, commercial banks are becoming more complex and expanding into nontraditional banking operations. Despite earlier studies failing to support scope economies, recent research provides strong evidence for significantly positive scope economies in US commercial banking.
JOURNAL OF BANKING & FINANCE
(2022)
Article
Health Care Sciences & Services
Asim Mehmood, Zafar Ahmed, Khalid Ghilan, Ahmed Damad, Fahad Khan Azeez
Summary: This study aimed to estimate the cost of healthcare services provided by King Fahd Central Hospital Jazan, and found that Diagnosis Related Group costing is more reliable and recommended for reimbursement purposes.
INQUIRY-THE JOURNAL OF HEALTH CARE ORGANIZATION PROVISION AND FINANCING
(2021)
Review
Multidisciplinary Sciences
Ana Carolina Rosa, Ahmed W. A. Hammad, Dieter Boer, Assed Haddad
Summary: Traditional methods for designing concrete mixtures may not guarantee the optimum composition, leading to a growing need for operational research techniques to proportion concrete materials that meet performance requirements. Authors have sought mathematical programming and machine learning solutions to predict and optimize concrete mix properties. This paper presents a comprehensive review and classification framework for operational research techniques in concrete mixture design and proportioning.
Article
Medical Laboratory Technology
Baptist Declerck, Mathijs Swaak, Manuella Martin, Katrien Kesteloot
Summary: This study aimed to investigate the cost of testing within a Clinical Chemistry laboratory, finding that high-volume and automated tests have lower unit costs. By using activity-based costing (ABC), it is possible to identify high average cost tests that can benefit from optimizations, such as focusing on automation or outsourcing low-volume tests that can benefit from economies of scale.
CLINICAL CHEMISTRY AND LABORATORY MEDICINE
(2021)
Article
Computer Science, Artificial Intelligence
Jian Wang, Rong Li, Guofu Ding, Shengfeng Qin, Ziyi Cai
Summary: This paper proposes a new PSS design method for evaluating and finding an optimal scheme for PSS-ECs design based on customer requirements and Bayesian network. The construction of a Bayesian network describing the uncertain relationships between PSS-ECs and LCC is the core of this research. The method is validated using an example of subway bogie and its maintenance service, and shows positive significance in consolidating engineering knowledge and improving design decisions.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Economics
Florin Maican, Matilda Orth
Summary: This paper investigates the determinants of economies of scope in retail and their impact on product margins, finding that high-productivity stores offer more product categories while high-demand shock stores specialize in fewer categories. Policy simulations show that investment subsidies and mentoring support can increase product categories and sales, especially benefiting rural markets.
INTERNATIONAL JOURNAL OF INDUSTRIAL ORGANIZATION
(2021)
Article
Green & Sustainable Science & Technology
K. K. Weththasinghe, A. Stephan, V. Francis, P. Tiwari
Summary: Shopping centres, as significant built assets, use significant amounts of energy and resources throughout their life cycle. However, there are very few studies conducting a life cycle assessment of shopping centres. This paper presents a parametric model that quantifies the life cycle embodied flow and material cost of Australian shopping centres, providing benchmark values and demonstrating the potential for reducing embodied flow and material costs. The results show the importance of specific assembly combinations and highlight the significant societal impacts of making the built environment more economically and environmentally sustainable.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Engineering, Manufacturing
Mehdi Tlija, Abdulsalam A. Al-Tamimi
Summary: This paper proposes a Decision Support System (DSS) for process selection based on manufacturing complexity and cost. By automatically extracting complexity parameters from CAD models and defining cost models for different manufacturing process types, the DSS can track product changes and consider cost factors, providing a new paradigm for selecting manufacturing processes.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Energy & Fuels
David Cook, Hafpor Aegir Sigurjonsson, Brynhildur Davidsdottir, Sigurdur G. Bogason
Summary: This paper summarizes the results of two ELCC studies on deep enhanced geothermal systems (EGS). The studies on the Reykjanes project in Iceland and the Vendenheim co-generation plant in France suggest that deep EGS projects may offer cost-savings compared to conventional geothermal power ventures.
Article
Business
Saridroje Chanpermpoonpol, Phumin Kirawanich
Summary: This article discusses the application of a switching algorithm to reduce costs in railway system construction. The use of activity-based costing analysis helps accurately reflect the total cost and number of tests, while the implementation of a switch unit further decreases operational expenses.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Engineering, Multidisciplinary
Xiaoxi Zhu, Raymond Chiong, Kai Liu, Minglun Ren
Summary: External factors and cost factors influence the decision of manufacturers to produce new green products, with the implementation of environmental taxes promoting the adoption of green products while reducing the Pareto area of profit and consumer surplus.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Computer Science, Interdisciplinary Applications
Ioannis Gkioulekas, Lazaros G. Papageorgiou
Summary: This work presents a tree regression algorithm that optimally splits nodes into subsets using an optimization model and assesses partition quality with a statistical test. It also explores splitting nodes using multivariate decision rules to improve performance and computational efficiency. Introducing a novel mathematical model that selects an optimal set of variables for splitting on each node enhances the computational performance of the algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Khalid Y. Aram, Sarah S. Lam, Mohammad T. Khasawneh
Summary: This research focuses on selecting relevant independent features for Support Vector Machine (SVM) classifiers in a cost-sensitive manner. The proposed linear cost-sensitive SVM embedded feature selection model demonstrated competitive performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
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)
