A5078156022- Supply Chain and Inventory Management
- Supply Chain Resilience and Risk Management
- Multi-Criteria Decision Making
- Quality and Supply Management
- Facility Location and Emergency Management
- Sustainable Supply Chain Management
- Infrastructure Maintenance and Monitoring
- Scheduling and Optimization Algorithms
- Non-Destructive Testing Techniques
- Optimization and Mathematical Programming
- Urban and Freight Transport Logistics
- Blockchain Technology Applications and Security
- Industrial Vision Systems and Defect Detection
- Customer Service Quality and Loyalty
- Outsourcing and Supply Chain Management
- Solar Radiation and Photovoltaics
- Auction Theory and Applications
- Vehicle Routing Optimization Methods
- Smart Grid Energy Management
- Traffic Prediction and Management Techniques
- Machine Fault Diagnosis Techniques
- Recycled Aggregate Concrete Performance
- Energy Load and Power Forecasting
- Municipal Solid Waste Management
- Soil and Land Suitability Analysis
École Polytechnique Fédérale de Lausanne
2011-2023
Iran University of Science and Technology
2007-2008
Laboratoire de Génie Informatique, de Production et de Maintenance
2008
ParisTech
2008
Purpose The construction industry is a key driver of economic growth. However, the adverse impacts and demolition waste (CDW) resulted from active projects on economy, environment, public health social life necessitates an appropriate control management this stream. Developing promoting (CDWM) hierarchy program at strategic level essential. Design/methodology/approach This study aims to propose hybrid decision model that hybridizes Integrated Determination Objective Criteria Weights...
This paper considers two pertinent research inquiries: 'Can an AI-based predictive framework be utilised for the optimisation of solar energy management?' and 'What are ways in which can integrated within Smart Grid infrastructure to improve grid reliability efficiency?' The study deploys a Deep Learning model based on Long Short-Term Memory techniques, leading refined accuracy electricity generation forecasts. Such AI-supported methodology aids power operators comprehensive planning,...
Fault diagnosis plays an essential role in reducing the maintenance costs of rotating machinery manufacturing systems. In many real applications fault detection and diagnosis, data tend to be imbalanced, meaning that number samples for some classes is much less than normal samples. At same time, industrial condition, accelerometers encounter high levels disruptive signals collected turn out heavily noisy. As a consequence, traditional Detection Diagnosis (FDD) frameworks get poor...
This paper presents a multi-criteria decision making (MCDM) methodology for the location problem. In fact, new mathematical model is proposed with aid of fuzzy analytic hierarchy process (FAHP) to make plant decision. makes possible select optimal that most preferable both investors and managers. To illustrate application our model, numerical example provided solved. Finally, associated results are compared reported in literature informational efficacy also discussed. The approach this study...
A current trend in industries such as semiconductors and foundry is to shift their visual inspection processes Automatic Visual Inspection (AVI) systems, reduce costs, mistakes, dependency on human experts. This paper proposes a two-staged fault diagnosis framework for AVI systems. In the first stage, generation model designed synthesize new samples based real samples. The proposed augmentation algorithm extracts objects from blends them randomly, generate enhance performance of image...
Trust is a significant role-playing factor in supplier-customer relationship and known as fundamental ingredient supply chain. In this research, multi-round trust measurement through questionnaires administrated the context of laboratory experiment. We distinguish between supplier customer measure them serial multi-echelon inventory system. The validity reliability proposed are analyzed its applicability demonstrated. Results show that does develop decentralized chains, even absence...
Trust has been identified as a significant role-playing factor guarding supply chains against over-ordering and hoarding behavior, high inventory levels, transaction costs, poor customer satisfactions. Previous research addressed trust in chain mostly with the aid of surveys, interviews field data analysis. Using an extended, computerized version Beer distribution Game, this paper examines relationship between replenishment customer-supplier relationship. To measure trust, multi-round...
Inventory managers mostly do not follow normative optimization models. At best they introduce a level of bounded rationality instead full in their inventory replenishment decisions. In this paper, we examine the behavior continuous review system within decentralized supply chain. We implement an experimental approach with unknown market demand and local information availability. The analysis reveals that only magnitude variability order quantity tend to be larger, but also time intervals is...
Keywords: Trust ; Supply chain relationships Inventory replenishment decision Continuous review Laboratory experiment Behavioral operations These Ecole polytechnique federale de Lausanne EPFL, n° 5927 (2013)Programme doctoral Systemes production et RobotiqueFaculte des sciences techniques l'ingenieurInstitut genie mecaniqueLaboratoire gestion procedes productionJury: M.-O. Hongler (president), K. Donohue, P. Goncalves, C. Tucci Public defense: 2013-11-22 Reference...
This paper propose the use of Fuzzy Analytical Hierarchy process (FAHP) and Goal Programming (GP) as an aid in making location-allocation decision suggest a systematic method for site selection product allocation problem. The can be seen support framework, which links various objectives, subjective critical factors problem to make optimal fits best both operations managers investors. Important advantages applying framework are (1) ability decompose complex smaller problems, (2) possibility...
Inventory managers do not predominantly follow normative optimisation models. At best, they introduce a level of bounded rationality in their inventory replenishment decisions. This paper examines the behaviour decision-makers under continuous review decentralised supply chain, using an experimental approach with unknown market demand and local information availability. The analysis reveals that only magnitude variability order quantity tend to be larger, but also order-time intervals is...
Inventory managers do not predominantly follow normative optimisation models. At best, they introduce a level of bounded rationality in their inventory replenishment decisions. This paper examines the behaviour decision-makers under continuous review decentralised supply chain, using an experimental approach with unknown market demand and local information availability. The analysis reveals that only magnitude variability order quantity tend to be larger, but also order-time intervals is...