Yazar "Weber, Gerhard-Wilhelm" seçeneğine göre listele
Listeleniyor 1 - 12 / 12
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Circular Economy Practices in the Context of Emerging Economies(Mdpi, 2024) Ali, Sadia Samar; Weber, Gerhard-Wilhelm; Tirkolaee, Erfan Babaee; Goli, Alireza[Abstract Not Available]Öğe Foundations of semialgebraic gebe-environment networks(AMER INST MATHEMATICAL SCIENCES-AIMS, 2020) Kropat, Erik; Weber, Gerhard-Wilhelm; Tirkolaee, Erfan BabaeeGene-environment network studies rely on data originating from different disciplines such as chemistry, biology, psychology or social sciences. Sophisticated regulatory models are required for a deeper investigation of the unknown and hidden functional relationships between genetic and environmental factors. At the same time, various kinds of uncertainty can arise and interfere with the system's evolution. The aim of this study is to go beyond traditional stochastic approaches and to propose a novel framework of semialgebraic gene-environment networks. Foundation is laid for future research, methodology and application. This approach is a natural extension of interconnected systems based on stochastic, polyhedral, ellipsoidal or fuzzy (linguistic) uncertainty. It allows for a reconstruction of the underlying network from uncertain (semialgebraic) data sets and for a prediction of the uncertain futures states of the system. In addition, aspects of network pruning for large regulatory systems in genome-wide studies are discussed leading to mixed-integer programming (MIP) and continuous programming.Öğe An integrated decision-making approach for green supplier selection in an agri-food supply chain: threshold of robustness worthiness(MDPI, 2021) Tirkolaee, Erfan Babaee; Dashtian, Zahra; Weber, Gerhard-Wilhelm; Tomaskova, Hana; Soltani, Mehdi; Mousavi, Nasim SadatAlong with the increased competition in production and service areas, many organizations attempt to provide their products at a lower price and higher quality. On the other hand, consideration of environmental criteria in the conventional supplier selection methodologies is required for companies trying to promote green supply chain management (GSCM). In this regard, a multi-criteria decision-making (MCDM) technique based on analytic hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) is used to evaluate and rate the suppliers. Then, considering the resource constraint, weight of criteria and a rank of suppliers are taken into account in a multi-objective mixed-integer linear programming (MOMILP) to determine the optimum order quantity of each supplier under uncertain conditions. To deal with the uncertain multi-objectiveness of the proposed model, a robust goal programming (RGP) approach based on Shannon entropy is applied. The offered methodology is applied to a real case study from a green service food manufacturing company in Iran in order to verify its applicability with a sensitivity analysis performed on different uncertainty levels. Furthermore, the threshold of robustness worthiness (TRW) is studied by applying different budgets of uncertainty for the green service food manufacturing company. Finally, a discussion and conclusion on the applicability of the methodology is provided, and an outlook to future research projects is given.Öğe Logistics and Operations Modelling and Optimization for Sustainable Supply Chain(Mdpi, 2023) Weber, Gerhard-Wilhelm; Goli, Alireza; Tirkolaee, Erfan Babaee[Abstract Not Available]Öğe A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms(SPRINGER, 2022) Tirkolaee, Erfan Babaee; Goli, Alireza; Gutmen, Selma; Weber, Gerhard-Wilhelm; Szwedzka, KatarzynaMunicipal solid waste (MSW) management is known as one of the most crucial activities in municipalities that requires large amounts of fixed/variable and investment costs. The operational processes of collection, transportation and disposal include the major part of these costs. On the other hand, greenhouse gas (GHG) emission as environmental aspect and citizenship satisfaction as social aspect are also of particular importance, which are inevitable requirements for MSW management. This study tries to develop a novel mixed-integer linear programming (MILP) model to formulate the sustainable periodic capacitated arc routing problem (PCARP) for MSW management. The objectives are to simultaneously minimize the total cost, total environmental emission, maximize citizenship satisfaction and minimize the workload deviation. To treat the problem efficiently, a hybrid multi-objective optimization algorithm, namely, MOSA-MOIWOA is designed based on multi-objective simulated annealing algorithm (MOSA) and multi-objective invasive weed optimization algorithm (MOIWOA). To increase the algorithm performance, the Taguchi design technique is employed to set the parameters optimally. The validation of the proposed methodology is evaluated using several problem instances in the literature. Finally, the obtained results reveal the high efficiency of the suggested model and algorithm to solve the problem.Öğe A parallel heuristic for hybrid job shop scheduling problem considering conflict-free AGV routing(Elsevier, 2023) Amirteimoori, Arash; Tirkolaee, Erfan Babaee; Simic, Vladimir; Weber, Gerhard-WilhelmIn this study, a novel and computationally efficacious Parallel Two-Step Decomposition-Based Heuristic (PTSDBH) and a Mixed Integer Linear Programming (MILP) are developed to tackle the concurrent scheduling of jobs and Automated Guided Vehicles (AGVs) or transporters in a hybrid job shop system. Finite multiple AGVs, AGV eligibility, job's alternative process routes, job re-entry, and conflict-free AGV routing are considered. As far as the authors know, the importance of conflict-free routing for AGVs has not been featured in any of the past studies. Conflict-free AGV routing is an indispensable technicality, specifically where AGVs are the main mean of transportation as AGVs may collide on routes and the whole system ends up in breakdown. To avoid this issue, a conflict-free routing strategy is considered. Utilizing the parallel computing approach, PTSDBH is capable of tackling large-sized problems in remarkably shorter runtimes. To support this, PTSDBH is compared against three literarily well-known metaheuristics; i.e., Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Ant Colony Optimization (ACO) along with TSDBH (i.e., the single-core variant of PTSDBH) on three different-sized sets of benchmark instances. The results reveal that PTSDBH and TSDBH produce the same objective values and outperform the metaheuristics in terms of the quality of objective value. However, the runtimes of TSDBH are considerably higher than those of PTSDBH as it only uses one core to process. Finally, employing Nemenyi's post-hoc procedure for Friedman's test and the convergence plot, it is supported that the objective values generated by PTSDBH and TSDBH are significantly more desirable than those generated by the metaheuristics.Öğe Preface to the special issue on computational performance analysis based on novel Intelligent methods: exploration and future directions in production and logistics(SCIENDO, 2022) Goli, Alireza; Tirkolaee, Erfan Babaee; Weber, Gerhard-WilhelmThis special issue of the Foundations of Computing and Decision Sciences, titled "Computational Performance Analysis based on Novel Intelligent Methods: Exploration and Future Directions in Production and Logistics", is devoted to the application of Computational Performance Analysis (CPA) for real-life phenomena. The special issue and its editorial present novel intelligent methods as they meet with various research topics in production and logistics, especially in terms of challenges, limitations and future trends. This special issue aims to bring together current progress on the CPA, organization management, and novel models and solution techniques that can contribute to a better understanding of the CPA systems and delineate useful practical strategies. Methodologically interesting and well-documented case studies are highly recommended. Additionally, the special issue covers innovative cutting-edge research methodologies and applications in the related research field.Öğe Preface: advances of machine learning and optimization in healthcare systems and medicine(Springer, 2023) Weber, Gerhard-Wilhelm; Arabnia, Hamid; Aydin, Nadi Serhan; Tirkolaee, Erfan Babaee[Abstract Not Available]Öğe Recent advances in viable and sustainable supply chain management(Springer Heidelberg, 2023) Lotfi, Reza; Weber, Gerhard-Wilhelm; Tirkolaee, Erfan Babaee[Abstract Not Available]Öğe A robust optimization model to design an IoT-based sustainable supply chain network with flexibility(Springer, 2023) Goli, Alireza; Tirkolaee, Erfan Babaee; Golmohammadi, Amir-Mohammad; Atan, Zumbul; Weber, Gerhard-Wilhelm; Ali, Sadia SamarSupply chain network design is one of the most important issues in today's competitive environment. Moreover, the ratio of transportation costs to the income of manufacturing companies has increased significantly. In this regard, strategic decisions, as well as tactical decisions making, are of concern for supply chain network design. In this research, a flexible, sustainable, multi-product, multi-period, and Internet-of-Things (IoT)-based supply chain network with an integrated forward/reverse logistics system is configured where the actors are suppliers, producers, distribution centers, first- and second-stage customers, repair/disassembly centers, recycling centers, and disposal centers. In order to create flexibility in this supply chain, it is possible to dispatch directly to customers from distribution centers or manufacturing plants. For direct shipping, the application IoT system is taken into account in the transportation system to make them able to manage direct and indirect delivery at the same time. The options and considerations are then incorporated into a Multi-Objective Mixed-Integer Linear Programming model to formulate the problem which is then converted into a single-objective model using Goal Programming (GP) method. Moreover, in order to deal with uncertainty in the demand parameter, robust optimization approach is applied. The obtained results from a numerical example reveal that the proposed model is able to optimally design the supply chain network whose robustness is highly dependent on the budgets of uncertainty whereas up to 213.528% increase in the GP objective function is observed.Öğe A robust time-cost-quality-energy-environment trade-off with resource-constrained in project management: a case study for a bridge construction project(AMER INST MATHEMATICAL SCIENCES-AIMS, 2020) Lotfi, Reza; Yadegari, Zahra; Hosseini, Seyed Hossein; Khameneh, Amir Hossein; Tirkolaee, Erfan Babaee; Weber, Gerhard-WilhelmSustainable development requires scheduling and implementation of projects by considering cost, environment, energy, and quality factors. Using a robust approach, this study investigates the time-cost-quality-energy environment problem in executing projects and practically indicates its implementation capability in the form of a case study of a bridge construction project in Tehran, Iran. This study aims to take into account the sustain ability pillars in scheduling projects and uncertainties in modeling them. To model the study problem, robust nonlinear programming (NLP) involving the objectives of cost, quality, energy, and pollution level is applied with resource constrained. According to the results, as time diminished, the cost, energy, and pollution initially decreased and then increased, witha reduction in quality. To make the model close to the real world by considering uncertainties, the cost and quality tangibly improved, and pollution and energy consumption declined. We applied the augmented epsilon-constraint method to solve the proposed model. According to the result of the research,with regard to the time-cost, time-quality, time-energy, and time-pollution charts, as uncertainty increases, the cost and quality will improve, and pollution and energy will decrease. The proposed model can be employed for all industrial projects, including roads, construction, and manufacturing.Öğe Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak(2021) Tirkolaee, Erfan Babaee; Abbasian, Parvin; Weber, Gerhard-WilhelmThe performance of waste management system has been recently interrupted and encountered a very serious situation due to the epidemic outbreak of the novel Coronavirus (COVID-19). To this end, the handling of infectious medical waste has been particularly more vital than ever. Therefore, in this study, a novel mixed-integer linear programming (MILP) model is developed to formulate the sustainable multi-trip location-routing problem with time windows (MTLRP-TW) for medical waste management in the COVID-19 pandemic. The objectives are to concurrently minimize the total traveling time, total violation from time windows/service priorities and total infection/environmental risk imposed on the population around disposal sites. Here, the time windows play a key role to define the priority of services for hospitals with a different range of risks. To deal with the uncertainty, a fuzzy chance-constrained programming approach is applied to the proposed model. A real case study is investigated in Sari city of Iran to test the performance and applicability of the proposed model. Accordingly, the optimal planning of vehicles is determined to be implemented by the municipality, which takes 19.733 h to complete the processes of collection, transportation and disposal. Finally, several sensitivity analyses are performed to examine the behavior of the objective functions against the changes of controllable parameters and evaluate optimal policies and suggest useful managerial insights under different conditions.
