Article
Engineering, Multidisciplinary
Md. Sharif Uddin, Musa Miah, Md. Al-Amin Khan, Ali AlArjani
Summary: This paper proposes a fuzzy membership function tactic based on goal programming to solve multi-objective transportation problems in uncertain environments, allowing decision makers to choose confidence levels for different parameters and determine feasibility and satisfaction levels through compromise solutions.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Computer Science, Theory & Methods
Martin Gavalec, Zuzana Nemcova, Sergei Sergeev
Summary: By utilizing the concept of (K, L)-eigenvector, the study examines the structure of the max-min eigenspace associated with a specific eigenvalue in the max-min algebra, splitting it into various regions based on the order relations between the eigenvalue and the components of x. The resulting theory of (K, L)-eigenvectors, building upon the foundational work of Gondran and Minoux, offers a comprehensive and detailed description of the entire max-min eigenspace.
FUZZY SETS AND SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Wei Huang, Mingxi Sun, Liehuang Zhu, Sung-Kwun Oh, Witold Pedrycz
Summary: This study proposes a deep FMNN (DFMNN) based on initialization and optimization operation to overcome the limitations of FMNN, including input order and overlap region problems. DFMNN improves performance by simultaneously designing hyperboxes and implementing deep optimization, outperforming several models previously reported in literature on benchmark datasets.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Computer Science, Theory & Methods
Yan-Kuen Wu, Sy -Ming Guu
Summary: This paper proposes a simple active-set approach to finding a cost-saving optimal solution, i.e. a minimal-optimal solution to the min-max programming problem. By using a different sequence of decision variables, it may be able to find other minimal-optimal solutions, providing more choices for decision-making.
FUZZY SETS AND SYSTEMS
(2022)
Article
Computer Science, Theory & Methods
Bo Wen Fang
Summary: This paper presents a new approach for optimizing the solution to a model, utilizing the max-overlap function composition. The characterization of the optimal solution is proposed based on the properties of the solution set. Additionally, a simplified value matrix with rules is introduced to reduce the problem size. The effectiveness of the method is illustrated through a numerical example.
FUZZY SETS AND SYSTEMS
(2022)
Article
Computer Science, Theory & Methods
Yan-Kuen Wu, Ya-Ling Chiu, Sy -Ming Guu
Summary: This paper explores a new generalized min-max programming problem with constraints of addition-min fuzzy relational inequalities. The proposed model provides a unified setting that allows system managers to understand the congestion level or worst individual cost in a BitTorrent-like peer-to-peer file-sharing system. The paper presents theoretical results on obtaining the optimal value of the generalized min-max programming problem by solving a single-variable optimization model. Two approaches, an analytic method and an iterative approach, are provided to solve the single-variable optimization model.
FUZZY SETS AND SYSTEMS
(2022)
Article
Mathematics, Applied
Md. Musa Miah, Ali AlArjani, Abdur Rashid, Aminur Rahman Khan, Md. Sharif Uddin, El-Awad Attia
Summary: Considering the uncertainty in transporting goods, the paper proposes mathematical models using fuzzy non-linear membership functions to optimize multi-objective transportation problems. The models consider the DM's selection of confidence level and provide a compromise solution along with the satisfaction level. Based on experimental results, the hyperbolic membership function shows stability and 100% satisfaction in many instances compared to exponential and linear functions.
Article
Computer Science, Theory & Methods
Jozsef Dombi, Tamas Jonas
Summary: This paper presents an operator-dependent, analytic membership function family derived from two soft inequalities using the middle hedge operator. This new membership function family is highly flexible and can be easily used in constructing a membership function system for fuzzy control systems.
FUZZY SETS AND SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Xin Wang, Jiemin Zhao, Chun Cheng, Mingyao Qi
Summary: Emergency medical service (EMS) plays a crucial role in modern emergency and health systems, but traditional ground vehicles face challenges like traffic congestion and poor road conditions. Drones offer a promising alternative due to their faster speed and fewer restrictions. This paper develops a drone-based queuing-location model with stochastic demands and congestion for EMS, using fuzzy theory to handle uncertain drone endurance and demand arrival rate. The results show that this method improves the service level of high priority demands for EMS and helps decision-makers balance various objectives.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Yan-Kuen Wu, Ching-Feng Wen, Yuan-Teng Hsu, Ming-Xian Wang
Summary: This study proposes a minimal-maximal programming problem based on fuzzy relational inequalities to study the stability of peer-to-peer file sharing systems and network congestion. By adjusting constraint variables meticulously, the minimal optimal solution obtained can minimize the maximum transmission level and achieve balanced data download amounts.
FUZZY OPTIMIZATION AND DECISION MAKING
(2022)
Article
Computer Science, Artificial Intelligence
Jianjun Qiu, Xiaopeng Yang
Summary: This paper investigates a new type of fuzzy relation system for modeling P2P file sharing systems, explores the structure of the solution set, and proposes algorithms with polynomial computational complexity to find optimal solutions for network congestion and data transmission stability issues.
FUZZY OPTIMIZATION AND DECISION MAKING
(2022)
Article
Automation & Control Systems
Yan-Kuen Wu, Sy-Ming Guu, Fu-Hung Yang, Kuang-Ming Chang
Summary: In this paper, a min-max programming model is proposed to investigate network congestion and data transmission problems in a BitTorrent-like peer-to-peer file-sharing system. The objective function is extended and a new method for finding an optimal solution is provided. The effectiveness of this method is demonstrated through numerical examples.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
S. Angammal, G. Hannah Grace
Summary: The present study introduces a new Interactive Neutrosophic Programming Approach (INPA) based on Neutrosophic Set (NS) to improve agricultural production and profit. By using intuitionistic fuzzy numbers to determine parameters and considering constraints of land, labor, water, and food requirements, the proposed approach outperforms existing models.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Article
Computer Science, Information Systems
Ching-Feng Wen, Yan-Kuen Wu, Zhaowen Li
Summary: This article aims to solve the systems of inverse fuzzy relational equations with max-min composition, which is beneficial for fuzzy abductive/backward reasoning. Existing methods based on numerical algorithms cannot find globally optimal solutions or require significant computational cost. Consequently, these methods are not widely used in real-time expert systems. The proposed approach uses weighted L1 norm distances to define various best approximate solutions and provides straightforward algebraic formulas for finding them, offering computationally efficient solutions for real-time abductive reasoning.
INFORMATION SCIENCES
(2023)
Article
Operations Research & Management Science
Kuen-Suan Chen, Chun-Min Yu
Summary: This study proposes a fuzzy supplier selection model based on the confidence interval of the lifetime performance index to ensure that the lifespan of procured electronic components meets market needs. The model constructs a fuzzy membership function using the confidence intervals of various suppliers and incorporates historical data and expert experience to maintain evaluation accuracy.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Management
Marc Fuechtenhans, Christoph H. Glock, Eric H. Grosse, Simone Zanoni
Summary: This paper presents a simulation model for evaluating the cost benefits of using smart lighting systems in warehouses. The results of the model indicate that smart lighting systems have great potential for reducing energy consumption and improving environmental footprints compared to conventional lighting systems.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Management
Heiko Diefenbach, Nathalie Erlemann, Alexander Lunin, Eric H. Grosse, Kai-Oliver Schocke, Christoph H. Glock
Summary: This paper examines the issues and countermeasures in the air freight supply chain from both economic and ergonomic perspectives. It suggests digitalization of processes and improvement of ergonomic conditions for workers as means to address the problems.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Environmental Sciences
Yslam D. Mammedov, Ezutah Udoncy Olugu, Guleid A. Farah
Summary: Wind power has become a significant research area in renewable energy as a response to increasing demand for global energy supply chain. The study introduces a weather prediction method which includes two models for wind speed and atmospheric system forecasting. The physics-informed model was found to outperform other methods in accuracy and reliability, demonstrating potential for application in wind energy analysis.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Industrial
Azin Setayesh, Eric H. Grosse, Christoph H. Glock, W. Patrick Neumann
Summary: Through literature review and interviews, this study identified human factors leading to quality deficits and errors in order picking operations, including physical and mental fatigue, complexity, memory demand, among others. The interviews also revealed previously unrecognized communication and supervision failure modes.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Operations Research & Management Science
Heiko Diefenbach, Simon Emde, Christoph H. Glock, Eric H. Grosse
Summary: This paper presents new solution procedures for the order picker routing problem in U-shaped order picking zones with a movable depot. The study demonstrates that the exact approach is effective for solving small instances, while the heuristic dynamic programming approach is fast and exhibits a small optimality gap in all test instances. Additionally, the influence of storage assignment policies and movable depot compared to a fixed one are investigated.
Article
Green & Sustainable Science & Technology
Ezutah Udoncy Olugu, Kuan Yew Wong, Jonathan Yong Chung Ee, Yslam D. Mammedov
Summary: This research aims to integrate the concepts of maintenance and sustainability in the oil and gas industry and propose a framework for assessing performance. The framework consists of four dimensions of sustainability and a range of performance measures. The potential contribution of this study lies in its intention to enhance understanding of sustainable maintenance and encourage decision makers in practical implementation within the industry.
Article
Management
Sven Winkelhaus, Eric H. Grosse, Christoph H. Glock
Summary: The increasing trend towards digitalization in logistics has presented significant challenges for management, particularly in transforming traditional manual workplaces in intralogistics. While automation and smart technologies have been implemented in some intralogistics processes, humans remain essential in the future of intralogistics with changing work characteristics.
JOURNAL OF BUSINESS LOGISTICS
(2022)
Review
Computer Science, Interdisciplinary Applications
Frederic Jacob, Eric H. Grosse, Stefan Morana, Cornelius J. Koenig
Summary: The industrial application of collaborative robots in warehouses is driven by factors such as just-in-time delivery, shorter product life cycles, demographic changes, and the Covid-19 pandemic. These robots work alongside human workers, increasing productivity and relieving them of repetitive or strenuous tasks. However, acceptance of human-robot collaboration (HRC) in warehouses can be hindered by concerns such as job loss, stress, effort, and risk to physical integrity. This study analyzes HRC acceptance in warehouses using the Unified Theory of Acceptance and Use of Technology, identifying key factors and providing guidance for future research and managers regarding HRC applicability.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Ezutah Udoncy Olugu, Kuan Yew Wong, Jonathan Young Chung Ee, Ang Chun Kit, Yslam D. Mammedov
Summary: Maintenance of equipment in the Oil and Gas industry is crucial for economic, environmental, and social safety. This study proposes a modified failure mode and effect analysis model to address the shortcomings of traditional risk evaluation analysis. The model combines quantitative intelligent-based techniques and qualitative accuracy-oriented analyses. The proposed model was validated by a case study of a drawworks system on an offshore production and drilling platform, and the results demonstrate its accuracy and applicability in evaluating sustainable maintenance processes. The study concludes with directions for future research.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Engineering, Industrial
Minqi Zhang, Eric H. Grosse, Christoph H. Glock
Summary: Warehouses are crucial in supply chains, and order picking is a time- and cost-intensive task. New technologies, such as autonomous picking robots collaborating with human pickers, can reduce the workload of warehouse workers. However, attention should be given to controlling the weight handled by pickers to avoid increased ergonomic risks.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Industrial
Azin Setayesh, Eric H. Grosse, Michael A. Greig, Christoph H. Glock, W. Patrick Neumann
Summary: This paper evaluates the usability, functionality, and usefulness of the Warehouse Error Prevention (WEP) tool, which consists of seven modules. The WEP tool, designed in a simple yes/no form, aims to identify human factors associated with pick errors in warehouses. The tool was tested and evaluated by 33 participants from 27 organizations in three different countries. Survey results indicate that the participants found the WEP tool to be usable and functional. In interviews, participants reported the tool as accurate and effective, with the potential to improve order picking quality for engineers, ergonomists, and warehouse managers. Further quantitative field testing is required to assess the WEP tool's ability to identify costly warehouse errors.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Editorial Material
Engineering, Industrial
Eric H. Grosse, Fabio Sgarbossa, Cecilia Berlin, W. Patrick Neumann
Summary: Industry 4.0 focused on performance and profit, but failed to address the prosperity of all stakeholders, leading to the introduction of Industry 5.0. Industry 5.0 is a human-centric approach that emphasizes outcomes for humans and promotes the development of resilient and sustainable systems.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Proceedings Paper
Automation & Control Systems
Steffen Nixdorf, Minqi Zhang, Fazel Ansari, Eric H. Grosse
Summary: The integration of AI technologies and learnable systems in production and logistics transforms the concepts of work organization and task assignments. Intelligent machines and human workers can guide and train each other in the workplace to cope with emerging skill mismatches. The concept of Reciprocal Learning (RL) between humans and intelligent machines has emerged, but the literature on this topic is fragmented, especially in production and logistics. This paper aims to conduct a systematic literature review to develop a comprehensive knowledge base on RL and contribute to future research on human-machine symbiosis in production and logistics.
Proceedings Paper
Automation & Control Systems
Minqi Zhang, Eric H. Grosse, Christoph H. Glock
Summary: With the increasing market penetration of smart devices, mobile applications have become essential tools in daily life and industrial work. However, the limitations of smart devices require validation experiments to ensure the reliability of app usage, and more research is needed on the psychosocial aspects of human-technology interaction.
Proceedings Paper
Materials Science, Multidisciplinary
Ruey Shan Chen, Yao Hsing Chai, Ezutah Udoncy Olugu, Sahrim Ahmad
Summary: This paper investigates the influence of light fiber modification and fiber loadings on the properties of post-consumer high-density polyethylene/sugarcane bagasse biocomposites. The results show that the thermal stability of the biocomposites is not significantly affected by the fiber types and loading, but the residues left after decomposition are influenced. The addition of raw sugarcane bagasse fibers without a coupling agent decreases the tensile strength of the biocomposites, but the strength is recovered after alkali treatment. In addition, the stiffness of the biocomposites increases linearly with fiber loading. The alkali-treated biocomposite exhibits lower water absorption percentages compared to the raw SB fiber biocomposite.
MATERIALS TODAY-PROCEEDINGS
(2022)
