Article
Computer Science, Interdisciplinary Applications
Rasool Motahari, Zeinolabedin Alavifar, Abdullah Zareh Andaryan, Maxwell Chipulu, Morteza Saberi
Summary: Different industries compete with each other in attracting customers using different methods. In the field of production, group technology (GT) is applied to reconfigure the factory and job shop design by grouping similar parts based on their design and production similarities. Cellular manufacturing (CM) is an application of GT where independent machines with different functions are grouped to form a manufacturing cell. Designing a cellular manufacturing system involves three major decisions: cell formation, group layout, and group scheduling. This paper proposes a multi-objective linear programming model to optimize completion time, transportation cost, and machine idle time, and solves the model using the epsilon-constraint method and a nondominated sorting genetic algorithm II (NSGA-II).
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Marta Perez-Perez, Ana-Maria Serrano-Bedia, Maria-Concepcion Lopez-Fernandez
Summary: The study found that manufacturing flexibility is a dual-dimensional concept composed of internal and external manufacturing flexibility capabilities, which are complementary and hierarchical in its development. Contrary to previous assumptions, internal flexibility does not always express its final competitive effect through external flexibility, which only partially mediates the relationship between internal flexibility and competitive advantage.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Juan Feller, Alejandro F. Mac Cawley, Jorge A. Ramos-Grez, Ivan La Fe-Perdomo
Summary: This study presents a robust model that optimizes equipment investing decisions and finds the optimal production plan, taking into account historical demand information and physical parameters of laser cutting equipment. The model is transformed into a robust optimization model to consider demand uncertainty. A case study validates the effectiveness of the proposed model and proves the robustness of the solution, showing that the optimal robust solution can increase expected profits by 6.4% for the company in the specific application.
Article
Computer Science, Interdisciplinary Applications
Hamidreza Ebrahimi, Kamran Kianfar, Mehdi Bijari
Summary: The study focuses on scheduling Cellular Manufacturing System (CMS) to maximize total profits by considering components such as time-dependent energy prices, demand price elasticity, and machine speed-based power consumption. Two linearization approaches are used to determine order quantities, with developed mathematical models and a hybrid algorithm for optimization. The results show significant energy cost reductions when considering time-dependent energy prices in scheduling.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Environmental Studies
Yongguang Zhu, Deyi Xu, Saleem H. Ali, Jinhua Cheng
Summary: The hybrid model proposed can comprehensively evaluate the availability of mineral resources, assessed by two indicators in a coordinate system. After evaluating 13 strategic minerals in China, it was found that gold, tin, and lead have significant potential in the future availability, while iron, aluminum, and copper have relatively lower potential. Zirconium, chromium, lithium, cobalt, tungsten, and nickel are technology-based strategic minerals, while molybdenum is market-oriented.
Article
Mathematics
Francisco Yuraszeck, Gonzalo Mejia, Jordi Pereira, Mariona Vila
Summary: This study addresses a specific case of the group shop scheduling problem and proposes a novel heuristic procedure to improve the solution. Experimental results demonstrate that the proposed algorithm performs significantly better on large-size instances.
Article
Computer Science, Interdisciplinary Applications
Giulia Caselli, Maxence Delorme, Manuel Iori, Carlo Alberto Magni
Summary: This study addresses a real-world scheduling problem and proposes four exact methods to solve it. The methods are evaluated through computational experiments on different types of instances and show competitive advantages on specific subsets. The study also demonstrates the generalizability of the algorithms to related scheduling problems with contiguity constraints.
COMPUTERS & OPERATIONS RESEARCH
(2024)
Article
Computer Science, Artificial Intelligence
Christian Bessiere, Clement Carbonnel, Anton Dries, Emmanuel Hebrard, George Katsirelos, Nina Narodytska, Claude-Guy Quimper, Kostas Stergiou, Dimosthenis C. Tsouros, Toby Walsh
Summary: In this paper, we propose a method to learn constraint networks by asking users partial queries. We present an algorithm called QuAcQ2, which can elucidate a constraint of the target network with a logarithmically proportional number of queries to the negative example. Our experiments show that QuAcQ2 requires significantly fewer queries compared to its predecessor, QuAcQ1, for network learning. This research has important implications for improving the efficiency of learning constraint networks.
ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Chemical
Angela Luft, Sebastian Bremen, Nils Luft
Summary: There is a growing demand for flexibility in manufacturing to adapt to market volatility and provide customization for customers. Additive manufacturing (AM) is being considered as a solution to make production more flexible. This paper develops a conceptual model and application guideline to quantify the impact of AM on volume and mix flexibility in production systems. A case study is presented to demonstrate the potential impact of additive technologies on manufacturing flexibility. This work allows factory planners to assess the effects of AM on flexibility and design their production systems accordingly.
Article
Computer Science, Interdisciplinary Applications
Adil Baykasoglu, Nurhan Dudakli, Mumin Emre Senol, Feyzi Komurcu
Summary: This paper aims to optimize the efficiency of spar cap production in wind turbine blade production by introducing a new optimization problem and developing two mathematical programming models. Solving the roll allocation problem optimally can significantly reduce workers' walking time/distance, improve manufacturing practices, indirectly reduce total operation time, and increase productivity in wind turbine blade production.
ENGINEERING WITH COMPUTERS
(2021)
Article
Business
Hamid Jafari, Hadi Ghaderi, Mohammad H. Eslami, Mohsin Malik
Summary: The study examines the relationship between supply integration and firm performance. It finds that manufacturing flexibility and mass customization mediate this relationship, while innovation orientation has contrasting contingent effects. The study contributes to the literature on integrative activities and highlights the importance of specific capability configurations for firm performance.
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohammed Ali Suleiman, Baofeng Huo, Yuxiao Ye
Summary: This study reveals the negative impact of supplier JIT on flexibility performance, but the adoption of AMT and EMP reconciles the conflict between supplier JIT and flexibility performance. The results indicate the positive effects of AMT and EMP on flexibility performance.
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
(2021)
Article
Engineering, Industrial
Behdin Vahedi-Nouri, Reza Tavakkoli-Moghaddam, Zdenek Hanzalek, Alexandre Dolgui
Summary: This paper explores an integrated production scheduling and workforce planning problem in a Reconfigurable Manufacturing System (RMS) using reconfigurable machines and human-robot collaboration. A new Mixed-Integer Linear Programming (MILP) model and an efficient Constraint Programming (CP) model are developed to solve the problem. Computational experiments show the superiority of the CP model over the MILP model in smaller instances and its ability to find high-quality solutions for larger instances within a reasonable computation time. It provides recommendations for managers dealing with this complex problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Mechanics
Weibai Li, Xiaodong Huang
Summary: This paper develops a topology optimization algorithm for lightweight design of structures using multiple cellular materials. The algorithm incorporates the microstructures and homogenized mechanical properties of cellular materials into topology optimization. Numerical examples demonstrate the successful implementation of the algorithm by optimizing the distribution and selection of multiple cellular materials.
INTERNATIONAL JOURNAL OF APPLIED MECHANICS
(2022)
Article
Computer Science, Artificial Intelligence
Yuting Wang, Yuyan Han, Quan-ke Pan, Huan Li, Yuhang Wang
Summary: In this study, 48 available MILP models and an efficient CP model are constructed by categorizing the constraints. The experimental results show that models 24 and 48 exhibit superior performance, highlighting the effectiveness of the hybrid modeling approach.
SWARM AND EVOLUTIONARY COMPUTATION
(2023)
Article
Engineering, Industrial
Pinar Yunusoglu, Seyda Topaloglu Yildiz
Summary: This study developed an exact solution approach based on constraint programming for the multi-resource-constrained unrelated parallel machine scheduling problem. By enriching the CP model with lower bound restrictions and redundant constraints, and implementing two branching strategies, the computation time was effectively reduced. The computational results showed that the proposed CP model outperformed the best solutions with an average gap of 15.52%.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Operations Research & Management Science
Adil Baykasoglu, Nurhan Dudakli, Kemal Subulan, A. Serdar Tasan
Summary: This paper explores the importance of fleet planning in intermodal transportation and proposes a holistic approach to address the complexity of fleet planning in comparison with unimodal systems. Through a comprehensive mixed-integer linear programming model, the optimization of fleet planning is achieved.
OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Mehmet Doymus, Gul Denktas Sakar, Seyda Topaloglu Yildiz, Abdullah Acik
Summary: LNG provides a viable option for emission control in the maritime industry. This study proposes a model to optimize the ship-to-ship LNG bunkering supply chain and offers a tactical and strategic decision-making tool.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Gizem Cakir, Kemal Subulan, Seyda Topaloglu Yildiz, Alper Hamzadayi, Ceren Asilkefeli
Summary: This study focuses on software engineering projects in knowledge-intensive industries, proposing a new problem model (MRC-DTCTP) that aims to minimize total direct/indirect costs of resources under a pre-specified project deadline. By using an implicit non-linear programming model, a constraint programming model, and a genetic algorithm, the study is able to achieve superior results in shorter run times. Furthermore, through the analysis of a real-life application in an international ERP software company, insights are provided to project managers in terms of time-cost trade-off.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Mustafa Kucuk, Seyda Topaloglu Yildiz
Summary: This study presents constraint programming-based solution approaches for the 3l-CVRP in distribution logistics. The developed decomposed models outperformed the previous mixed-integer programming models for small-size problems. The results of computational study show improvement in 36 out of 93 benchmark problems.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Cybernetics
Adil Baykasoglu, Burcu Felekoglu, Ceylin Unal
Summary: The usage of learning management systems (LMSs) has become widespread due to the disruption caused by the COVID-19 pandemic. Selecting a suitable LMS is a complex decision-making problem that involves considering multiple criteria and inputs from different parties. Usability evaluation of LMS is a critical step in the decision-making process. This study proposes an axiomatic design procedure (ADP) based approach for the perceived usability evaluation of SAKAI-LMS. The ADP method allows easy data fusion and setting performance targets. A questionnaire is developed to collect data on usability criteria and their importance from system users. The proposed approach provides an easy and practical evaluation of perceived usability of LMSs for decision makers. It has been verified through a real-life case study at an academic department.
Article
Materials Science, Textiles
Seyda Topaloglu Yildiz, Gulseren Karabay
Summary: This study focuses on the single-model assembly line balancing problem in the sewing department of an apparel company. An integer programming model is developed to optimize the balance of the shirt production line. The results show that the IP model outperforms the Ranked Positional Weight Method in improving production efficiency and reducing the number of workstations.
TEKSTIL VE KONFEKSIYON
(2022)
Article
Computer Science, Artificial Intelligence
Kemal Subulan, Bilge Varol, Adil Baykasoglu
Summary: This paper introduces a new unequal-area capability-based facility layout design problem and proposes a MINLP model and a heuristic decomposition-based iterative solution approach to solve it. Computational results demonstrate the effectiveness and applicability of the proposed approach through illustrative examples and a real-life application.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Manufacturing
Cengiz Baykasoglu, Adil Baykasoglu, Erhan Cetin
Summary: The objective of this study is to find the optimum design configurations for functionally graded lattice structure filled aluminum tubes under multiple impact loading conditions. The optimal design is sought for maximizing specific energy absorption and minimizing peak crush force by considering base strut diameter, draft angle, and aspect ratio as filler material design parameters. Finite element simulations, regression meta-models, and an attraction-repulsion algorithm were employed to establish the design space, estimate objective function values, create design alternatives, and seek their optimum combinations. The results showed that the crashworthiness performance of hybrid structures can be effectively enhanced by selecting appropriate lattice filler parameters, with a potential improvement of up to 76% in specific energy absorption for square tubes. This study provides a guideline for the optimum design of functionally graded lattice structure filled thin-walled structures under multiple impact loading conditions.
INTERNATIONAL JOURNAL OF CRASHWORTHINESS
(2023)
Article
Engineering, Industrial
Pinar Yunusoglu, Seyda Topaloglu Yildiz
Summary: This article proposes a solution for the Flexible Job Shop Scheduling and Lot Streaming Problem (FJSSP-LS) considering setup and transport resource constraints. A novel Constraint Programming (CP) model and a CP-based Large Neighborhood Search (CP-based LNS) method are presented. The models are tested on FJSSP and shown to provide the best solutions. For FJSSP-LS, CP-based LNS improves the objective function value by an average of 4.68% compared to the CP model for the generated test problems.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2023)
Article
Computer Science, Artificial Intelligence
Eyuep Ensar Isik, Seyda Topaloglu Yildiz
Summary: This paper investigates the distribution problem of the COVID-19 vaccine in Turkey at the provincial level, taking into account the cold chain requirements and perishable nature of the vaccines. A multi-period multi-objective mixed-integer linear programming model is presented to solve the deterministic distribution problem. The model includes newly structured constraints for COVID-19 vaccines administered in two doses at specified intervals. The results show that the demand can be satisfied in the specified planning horizon, and a robust model is created to manage uncertainties related to supply and demand quantities, storage capacity, and deterioration rate.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Eyup Ensar Isik, Seyda Topaloglu Yildiz, Ozge Satir Akpunar
Summary: Proper scheduling of jobs is essential for modern production systems to work effectively. The study addresses the hybrid flow shop scheduling problem (HFSP) and develops constraint programming (CP) models for it, outperforming mixed-integer linear programming models in finding high-quality solutions.
Article
Automation & Control Systems
Pinar Yunusoglu, Seyda Topaloglu Yildiz
Summary: This article addresses the Flexible Job Shop Scheduling and Lot Streaming Problem (FJSSP-LS) under setup and transport resource constraints. A novel Constraint Programming (CP) model is proposed, which is enriched by an efficient variable and value ordering strategy specifically designed for the FJSSP-LS with resource constraints. A CP-based Large Neighbourhood Search (CP-based LNS) is also presented to explore large neighbourhoods through the CP model. The models improve the objective function value and provide the best solutions for benchmark instances.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Adil Baykasoglu, Mumin Emre Senol
Summary: This study demonstrates the improvement of metaheuristic algorithms performance through the application of Levy flight to the WSAR algorithm. The experimental results show that the Levy flight WSAR algorithm performs better than other algorithms in constrained design optimization problems.
PROCEEDINGS OF 7TH INTERNATIONAL CONFERENCE ON HARMONY SEARCH, SOFT COMPUTING AND APPLICATIONS (ICHSA 2022)
(2022)
Article
Sociology
Nurhan Dudakli, Burcu Felekoglu, Adil Baykasoglu
Summary: This paper explores the reverse innovation process of multinational enterprises in emerging markets and identifies the key factors for successful reverse innovation, including the quality of innovation ideas, collaboration between MNEs and local enterprises, and unique diffusion strategies.
INNOVATION-THE EUROPEAN JOURNAL OF SOCIAL SCIENCE RESEARCH
(2022)
