Article
Computer Science, Interdisciplinary Applications
Malte Luebben, Sven Pries, Celso Gustavo Stall Sikora
Summary: Mixed-model assembly lines are advanced technology in automotive production systems, which deal with the sequencing problem caused by a wide variety of customizable options. In this study, a buffer system is used for resequencing orders in the process of production. Different heuristics and a lookahead algorithm are applied to minimize utility work in an online problem.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Dragan Simic, Vasa Svircevic, Emilio Corchado, Jose L. Calvo-Rolle, Svetislav D. Simic, Svetlana Simic
Summary: Material flow management involves analyzing and optimizing the inventory-production system to ensure efficient and organized flow of materials in the production process. The use of Milk run and Kanban systems together is crucial in coordinating material transportation and identifying production needs.
Review
Materials Science, Multidisciplinary
Neta Varsano, Jenny Capua-Shenkar, Leslie Leiserowitz, Lia Addadi
Summary: Cholesterol is a crucial component of animal cell membranes and plays a role in influencing membrane fluidity. However, it is also closely associated with serious diseases such as atherosclerosis. The activity of cholesterol depends on its assembly states, either in cholesterol crystals or in crystalline domains with other lipids.
ANNUAL REVIEW OF MATERIALS RESEARCH
(2022)
Review
Biodiversity Conservation
Tianjie Deng, Yan Zhang, Chenling Fu
Summary: This study comprehensively analyzes the development history, application progress, and future directions of dynamic material flow analysis (dMFA) through a review of existing literature. The results show that dMFA exhibits a multi-perspective, multi-object, and multi-scale development trend, mainly including spatial-temporal simulation and evaluation. Spatial-temporal simulation studies, especially time evolution studies, are hot topics, while spatial identification studies are less common and mostly focused on the urban scale. Additionally, dMFA evaluation is also a research hotspot.
ECOLOGICAL INDICATORS
(2023)
Article
Computer Science, Artificial Intelligence
Binghai Zhou, Zhaoxu He
Summary: Green scheduling is increasingly important in manufacturing enterprises, balancing JIT and energy efficiency is a complex optimization problem. This study proposes a Memory-based Bi-objective Chaotic Gravitational Search Algorithm to solve a JIT material distribution scheduling problem for mixed-flow assembly lines, demonstrating its effectiveness and efficiency through computational experiments.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Daria Leiber, David Eickholt, Anh-Tu Vuong, Gunther Reinhart
Summary: This article introduces a novel approach using comprehensive models of production resources and genetic algorithms for automated 3D-layout planning of multi-station assembly lines, aiming to minimize line area and assembly costs while optimizing resource positioning and considering cycle time as a boundary condition. The method shows promise for industrial applications with its ability to integrate various resource types and customize the optimization function.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Engineering, Industrial
Wenbo Wu, Zhengdong Huang, Jiani Zeng, Kuan Fan
Summary: This paper proposes a deep reinforcement learning approach to solve the assembly sequence planning (ASP) problem, aiming to improve response speed by leveraging the reusability and expandability of past decision-making experiences. Through steps like instance generation algorithm, mask algorithm, and Monte Carlo sampling method, the assembly cost is minimized effectively under precedence constraints. It is demonstrated that the method accurately and efficiently solves the ASP problem in an environment with dynamic resource changes.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Biao Zheng, Yuquan W. Zhang, Yong Geng, Wendong Wei, Zewen Ge, Ziyan Gao
Summary: This study investigates the flows and stocks of lanthanum in China through a dynamic material flow analysis. The results show that China is a net importer of concentrates and a net exporter of primary products. The consumption of lanthanum steadily increases, with the top applications being FCC, rechargeable NiHM battery, and alloy. Policy suggestions include expanding the demand market, adjusting the quota production system, and increasing investment in and guidance for R&D.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Electrical & Electronic
Xiaohe Yan, Chenghong Gu, Hongcai Zhang, Furong Li, Yonghua Song
Summary: Traditional system investment decisions are costly and hard to reverse, especially with uncertainties from flexible load and renewables (FLR). This paper proposes a novel method to evaluate network investment horizon deferral based on the trade-off between waiting profit and waiting cost under FLR uncertainties. Paying waiting cost is found to be an economical way to reduce the impact of uncertainty and avoid hastily investments.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Shokraneh K. Moghaddam, Kazuhiro Saitou
Summary: In this paper, a new predictive-reactive rescheduling method based on the dynamic pegging concept is presented. It allows scheduling adjustments in a multi-level, mixed-model production system in response to un-planned events. The results indicate that implementing the predictive-reactive approach can significantly improve cost-efficiency in certain scenarios.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Operations Research & Management Science
Simon Emde, Shohre Zehtabian, Yann Disser
Summary: This article addresses the problem of scheduling direct deliveries between a depot and multiple customers using a heterogeneous truck fleet, with consideration of time windows and weights constraints, milk runs, and maximization of the weighted flow time. The authors adapt a mixed-integer programming model and prove the NP-completeness of feasibility decision-making at different levels. They also compare the performance of constraint programming solver, logic-based Benders decomposition, and commercial optimization software, and explore the robustness of the objective function and the impact of milk runs.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Environmental Studies
Cuixia Gao, Yufei Xu, Yong Geng, Shijiang Xiao
Summary: This study investigates the metabolism of terbium along its life cycle in China and identifies its sources, paths, and sinks using dynamic material flow analysis. The results reveal a significant shortage of terbium supply in China, with over 60% of the total terbium mineral production coming from illegal mining. However, there is great recycling potential for terbium in end-of-life products.
Review
Engineering, Manufacturing
Maximilian Johannes Schlueter, Frederik Ferid Ostermeier
Summary: Dynamic line balancing is a promising approach to achieve both equal loads for operators and high throughput for manufacturers. Tasks can be shared between adjacent stations in addition to the fixed allocated tasks.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2022)
Article
Environmental Studies
Tianjiao Guo, Yong Geng, Xiaoqian Song, Xue Rui, Zewen Ge
Summary: This study investigates magnesium metabolism in China from 2002 to 2021 using a retrospective, dynamic material flow analysis method. The results show that China's magnesium supply has doubled to meet the tripled demand, with over 69% used for refractory materials and less than 5% for pure magnesium applications. The total net magnesium export in 2021 reached 1.8 megatons (Mt), while only 9.8% of the total primary magnesium production was recycled during the study period. Policy recommendations are proposed to improve resource efficiency, incubate efficient production technologies, increase added values of magnesium-containing products, and optimize trading.
Article
Green & Sustainable Science & Technology
Nan Xiang, Shengnan Li, Chang Shu, Feng Xu
Summary: China is expected to become the world's largest producer of ethylene, but the environmental impact of the traditional ethylene production process in the petrochemical industry is a growing concern. This study proposes a feasible and optimal pathway for ethylene production expansion to balance environmental and economic considerations. By adopting alternative production processes and optimizing efficiency, environmental pressures can be alleviated and a weak decoupling of the low-carbon economy can be achieved. However, CO2 emissions will increase with the doubling of ethylene production. This research provides methodological support for sustainable industrial development domestically and globally.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Automation & Control Systems
Mohammed Alnahhal, Bernd Noche
ASSEMBLY AUTOMATION
(2015)
Article
Operations Research & Management Science
Mohammed Alnahhal, Mosab I. Tabash, Diane Ahrens
Summary: This paper explores the selection of logistics providers based on the best prices offered by third-party providers. A mathematical programming model is developed to find the best 3PL, considering different pricing methods. The study highlights how future demand trends can impact the optimal solution and emphasizes selecting the pricing method with the lowest cost variability over time.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Engineering, Chemical
Mohammed Alnahhal, Diane Ahrens, Bashir Salah
Summary: This research investigates the temporal consolidation process in a central consolidation center in a make-to-order supply chain, finding that temporal consolidation is more effective when there is larger variability in order preparation time, and waiting time is more useful when there is at least one order every four days. A formula approximating the percent of reduced shipments is proposed as well.
Article
Management
N. Al Safarini, A. Hasan, A. Sakhrieh, M. Alnahhal, M. Al Hazza
Summary: Communication in the construction sector, especially during the design phase, is crucial for productivity. Research emphasizes the importance of communication among different disciplines within the design team, with best practices such as hiring a coordinator and holding meetings to enhance communication and reduce conflicts.
POLISH JOURNAL OF MANAGEMENT STUDIES
(2021)
Article
Chemistry, Multidisciplinary
Mohammed Alnahhal, Diane Ahrens, Bashir Salah
Summary: This paper investigates dynamic forecasting of lead-time in optimizing temporal shipment consolidation. The forecasting is done using machine-learning methods, with the final step checking if orders will arrive in the next delivery week or not.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Mohammed Alnahhal, Diane Ahrens, Bashir Salah
Summary: This study investigates replenishment planning for seasonal demand with discrete delivery times using mixed-integer programming model and dynamic programming model to reduce inventory holding costs and improve service level, achieving a higher service level through dynamic planning and opening the door for further investigations in other industries in future.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Chemical
Bashir Salah, Mohammed Alnahhal, Rafiq Ahmad
Summary: Automated storage and retrieval systems (AS/RS) are essential for improving the efficiency of manufacturing systems, warehouses, and distribution centers. This paper introduces an algorithm that minimizes the travel distance/time between input/output stations by reallocating storage compartments and tote bins. The algorithm's effectiveness is demonstrated through a simulation model.
Article
Green & Sustainable Science & Technology
Mohammed Alnahhal, Bashir Salah, Rafiq Ahmad
Summary: Automated warehousing systems are gaining popularity but are reaching maximum capacity due to layout design limitations, requiring breakthrough solutions for performance enhancement. Research suggests that changing the location of I/O points and reallocating storage can significantly increase throughput.
Article
Green & Sustainable Science & Technology
Mohammed Alnahhal, Bashir Salah, Mohammed Ruzayqat
Summary: This paper investigates an efficient approach to reduce the total costs of automated distribution centers by exploring optimal lot sizing rules for different product classes and considering the impact of double handling on the design. The results show that the proposed model can save up to 19.5% of costs based on assumed data.
Article
Energy & Fuels
Saad Balhasan, Mohammed Alnahhal, Shahrul Shawan, Bashir Salah, Waqas Saleem, Mosab I. I. Tabash
Summary: Cooperation between supply chain partners is crucial in the oil industry, especially during fluctuations in oil prices. This study explores the use of game theory to establish optimal agreements between national and international oil companies, aiming to enhance cooperation and minimize conflicts. The application of Nash and Maxi-min solutions in exploration and production sharing agreements (EPSA) in Libya reveals improvements in the net present value (NPV) and internal rate of return (IRR) of the international oil company.
Article
Green & Sustainable Science & Technology
Mohammed Alnahhal, Nikola Gjeldum, Bashir Salah
Summary: Due to climate change, some areas experienced heavy rain that exceeded the capacity of the wastewater system, leading to the use of water tankers for dewatering. A new variant of parallel machine scheduling with job splitting was proposed, and two genetic algorithms were used to solve the problem efficiently. The results showed optimal and good solutions for small and large-scale problems, respectively.
Article
Energy & Fuels
Saad Balhasan, Mohammed Alnahhal, Brian Towler, Bashir Salah, Mohammed Ruzayqat, Mosab Tabash
Summary: This paper investigates the impact of price fluctuations on economic indicators and uses the Taguchi method to find the best-agreement parameters in petroleum contractual agreements. Through a case study of oil field development in Libya, the key control factors affecting the company's net cash flow and the second party's production share were determined.
Proceedings Paper
Operations Research & Management Science
Mohammed Alnahhal, Muawia Ramadan, Bernd Noche
DYNAMICS IN LOGISTICS, LDIC, 2014
(2016)
Proceedings Paper
Operations Research & Management Science
Muawia Ramadan, Mohammed Alnahhal, Bernd Noche
DYNAMICS IN LOGISTICS, LDIC, 2014
(2016)
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
