The 5th International Conference on Modern Management based on Big Data (MMBD2024)

Abstract: Big Data is defined as exceptionally large data sets, potentially numbering into billions of rows and parameters. In manufacturing, big data can include data collected at every stage of production, including data from machines, devices, and operators. With big data analytics in manufacturing, manufacturers can discover new information and identify patterns that enable them to improve processes, increase supply chain efficiency and identify variables that affect production.
Big Data Analytics in manufacturing is about using a common data model to combine structured business system data like inventory transactions and financial transactions with structured operational system data like alarms, process parameters, and quality events, with unstructured internal and external data. Improving efficiency across the business helps a manufacturing company control costs, increase productivity, and boost margins. Automated production lines are already standard practice for many, but manufacturing big data can exponentially improve line speed and quality.
Big data combined a set of data usually referred as large and complex datasets; enables the company to review real-time data flows. Digitized supply chains have the potential to dramatically lower costs, reduce lead time and increase product availability. Digitization makes the supply chain more effective, agile and responsive by sharing knowledge and collaborating complex supplier networks. As a result, this research contributes the practitioners to identify the current situation of their business and it will help them to take timely, fast and better decision.
Keywords: Big Data, Supply Chain, Manufacturing Industry

Biography: Prof. Dr. Md. Mamun Habib is a Professor at School of Business & Entrepreneurship (SBE), Independent University, Bangladesh (IUB). In addition, Dr. Habib is the Visiting Scientist of University of Texas – Arlington, USA. Prior to that, he was Associate Professor at BRAC Business School, BRAC University, Bangladesh; Asia Graduate School of Business (AGSB) at UNITAR International University, Malaysia; Dept. of Operations Research/Decision Sciences, Universiti Utara Malaysia (UUM), Malaysia and Dept. of Operations Management, American International University-Bangladesh (AIUB). He is the Editor-in-Chief in International Journal of Supply Chain Management (IJSCM), London, UK (SCOPUS Indexed). He accomplished his Ph.D. and M.S. with outstanding performance in Computer & Engineering Management (CEM) under the Graduate School of Business (GSB) from Assumption University, Thailand. His Ph.D. research was in the field of Supply Chain Management.
He has more than 18 years’ experience in the field of teaching as well as in training, workshops, consultancy and research. At present, he is supervising some Ph.D. students at locally and internationally. Furthermore, he has several Ph.D. involvements with UUM, UNIRAZAK, AIMST, UNITAR, Asia e University (AeU), Malaysia; Assumption University of Thailand; Institute for Technology and Management (ITM) – University and Birla Institute of Technology (BIT)–Deemed University, India, National Institute of Technology (NIT), India, SOA University, India; University of the Assumption, Philippines. He also involved with online learning programme at University of Roehampton (UoR), London, UK. He is actively involved with national and international research grant projects.
As a researcher, Prof. Habib published about 150+ research papers, including Conference Proceedings, Journal articles, and book chapters/books. He serves as the Editor-in-Chief/Lead Guest Editor/Editor/Editorial Board Member/Reviewer of more than 20 journals, particularly Elsevier (Scopus) and Thomson Reuters (Web of Science) Indexed Journals. Also, he delivers lecture as Keynote Speaker at 50+ international conferences, at various countries, particularly Taiwan, USA, China, Indonesia, Malaysia, Thailand, Singapore, Turkey, Korea, India, UK, Greece, Bulgaria, Australia, Italy, etc. He also serves as General Chair, Program Chair, Technical Chair, Organizing Committee Member, Technical Committee Member, Track Chair, Session Chair as well as Reviewer of numerous international conferences. He received Best Track Chair Award at IEOM’2012 Conference.
His core research areas are supply chain management, production & operations management, operations research, research methodology, engineering management, technology management, and educational management. Finally, Prof. Habib is an active member of different professional organizations, including IEEE (Senior Member), IEOM (President, SCM Technical Division), IETI (Senior Member and Board of Director), IRED (Fellow), GRDS (Vice-President), IEB, AIMS, INFOMS, just to name a few. He is involved with QS World University Ranking and Times Higher Education Ranking as an academician.