Javad Jassbi

ORCID: 0000-0002-3951-5891
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About
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Research Areas
  • Multi-Criteria Decision Making
  • Quality and Supply Management
  • Collaboration in agile enterprises
  • Fuzzy Logic and Control Systems
  • Supply Chain Resilience and Risk Management
  • Optimization and Mathematical Programming
  • Cognitive Science and Mapping
  • Fuzzy Systems and Optimization
  • Neural Networks and Applications
  • Accounting and Organizational Management
  • Digital Transformation in Industry
  • Advanced Data Processing Techniques
  • Quality and Management Systems
  • Resource-Constrained Project Scheduling
  • Complex Systems and Decision Making
  • Industrial Vision Systems and Defect Detection
  • Supply Chain and Inventory Management
  • Infrastructure Resilience and Vulnerability Analysis
  • Digital Marketing and Social Media
  • Cognitive Computing and Networks
  • Blockchain Technology Applications and Security
  • Stock Market Forecasting Methods
  • Advanced Statistical Process Monitoring
  • Transportation Planning and Optimization
  • Facility Location and Emergency Management

Universidade Nova de Lisboa
2014-2022

Islamic Azad University, Science and Research Branch
2007-2022

University of Lisbon
2015-2022

Uninova
2014-2022

Industrial Management Institute
2014

Islamic Azad University, Tehran
2006-2012

University of Tehran
2005

Dynamic multi-criteria decision making (DMCDM) is an emerging subject in the decision-making area and last decade challenge to consider time as important variable has become important. Some frameworks already exist this but when compared with other types of models, DMCDM needs more work be applicable real industrial problems. In we extend a dynamic spatial-temporal framework, designed deal historical data (feedback), address problem considering future information/knowledge (feed-forward)....

10.1080/12460125.2014.886850 article EN Journal of Decision System 2014-03-20

This research provides a comparison between the performances of TSK (Takagi, Sugeno, Kang)-type versus Mandani-type fuzzy inference systems. The main motivation behind this was to assess which approach best performance for gyroscope fault-detection application, developed in 2002 European Space Agency (ESA) satellite ENVISAT. Due importance online systems we compare with Mamdani model, formulation using three types tests: processing time both systems, robustness presence randomly generated...

10.1109/wac.2006.376033 article EN World Automation Congress 2006-07-01

Industry 4.0 (I4.0) represents the Fourth Industrial Revolution in manufacturing, expressing digital transformation of industrial companies employing emerging technologies. Factories future will enjoy hybrid solutions, while quality is heart all manufacturing systems regardless type production and products. Quality a branch I4.0 with aim boosting by smart solutions intelligent algorithms. There are many conceptual frameworks models, main challenge to have experience action at workshop level....

10.3390/pr8060634 article EN Processes 2020-05-26

In many decision support applications, it is important to guarantee the expressive power, easy formalization and interpretability of Mamdani-type fuzzy inference systems (FIS), while ensuring computational efficiency accuracy Sugeno-type FIS. Hence, in this paper we present an approach transform a FIS into We consider problem mapping Mamdani Sugeno as optimization by determining first order parameters, transformation achieved. To solve compare three methods: least squares, genetic algorithms...

10.1109/fuzzy.2007.4295331 article EN Proceedings of ... IEEE International Conference on Fuzzy Systems 2007-06-01

In this paper we have developed an approach based on Adaptive Neuro Fuzzy Inference System (ANFIS) for measurement of agility in Supply Chain. An Agile Chain (ASC) is frequently considered as a dominant competitive advantage. As complexity and vagueness global markets must be one the essential characteristics ASC system, efficiently applied ANFIS order to inject different complicated capabilities (that is, flexibility, competency, cost, responsiveness quickness) model ambiguous environment....

10.5897/ajbm.9000089 article EN AFRICAN JOURNAL OF BUSINESS MANAGEMENT 2010-01-31

Cloud manufacturing (CMfg) arises as a novel paradigm for enabling future companies to be responsive, (re)-configurable, adaptable, and flexible, in one word: agile. CMfg allows deploy manage all the information over network improving enterprises visibility/transparency while opening doors implementation of global enterprise. Thus, is radically changing role played by Information Communication Technologies (ICT) solutions both strategic operational level. In this scenario, agility...

10.1109/indin.2014.6945563 article EN 2014-07-01

Supply chain flexibility assessment (SCFA) has been considered as a major determinant of competitiveness in world class manufacturing. The environmental issues well speed, variety, and integration production line come along with customer relationship mass customization concept should to light today's research studies. To achieve competitive edge, companies must align suppliers customers streamline operation characteristics beyond individual companies. How ever, so far little effort made...

10.1109/ieem.2009.5373292 article EN IEEE International Conference on Industrial Engineering and Engineering Management 2009-12-01

Purpose – The purpose of this paper is to design a model outline the structure communities practice (CoPs) corresponding organizational context. Design/methodology/approach This research utilizes both descriptive and prescriptive approaches, as authors are looking for comprehensive relational deal with problem selecting suitable CoPs concerning Thus, study applies interviewing fuzzy Delphi methods explore model. Findings work provides new variables affecting structure. In model, three basic...

10.1108/vine-06-2014-0040 article EN VINE 2015-07-27

Supply Chain Agility Assessment has been considered as one of the most important issues in world class manufacturing research study. The environmental issue well speed, variety, flexibility and integration production line come along with customer relationship mass customization concept should to light today¿s To achieve competitive edge, companies must align suppliers customers streamline operations, agility characteristic beyond individual companies. Consequently agile supply chain (ASC) is...

10.1109/ieem.2008.4738043 article EN IEEE International Conference on Industrial Engineering and Engineering Management 2008-12-01

In a growingly competitive business environment, numerous organizations adopt the total quality management (TQM) approach, to struggle for excellence. To monitor progress towards excellence, thousands of across world use self-assessment on regular basis. There are few popular excellence models, that provide standard criteria against which an organization can measure its performances. European Foundation Quality Management (EFQM) is most ones. The EFQM Excellence Model was introduced at...

10.5897/ajbm11.190 article EN AFRICAN JOURNAL OF BUSINESS MANAGEMENT 2011-06-30

Strategic planning is especially important for organization¿s success and creation of competitive advantage in a complicated environment, on the other hand achievement implementation strategies can perform an role purpose organizations¿ success, balanced scorecard new tool designing operational strategies. One problems abs use priority strategic plans¿ performance. So, this article by using proposed model, consensus managers experts¿ opinions, measures four perspectives general objectives...

10.1109/ieem.2008.4737913 article EN IEEE International Conference on Industrial Engineering and Engineering Management 2008-12-01

Automotive industries try to develop their technologies improve quality and minimize scrapes wastes. In the paint shop vehicle, control generally relies on inspection. Industries via proactive control. This paper investigates predictability of thickness reduce defects, using ANFIS. A description automobile spray process is introduced inputs (as effective factors in process) are identified for each thin layer a plate. 50×80 sheet metal considered as sample. present two models ANFIS presented....

10.1109/icsmc.2010.5642189 article EN 2010-10-01
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