In process chart every day between any two operations are to be recorded. Each delays has to be analyzed by industrial engineers to eliminate it. The solutions will be changes to production planning procedures. It is modified product plans that eliminate delays. As we know, the main tasks in production quantity planning and control are aggregate planning, ordering , loading, scheduling and dispatching.
News - Information for Industrial Engineering Analysis of Delays in Processes
We think Schedlyzer is the AI for Standard Work!
https://www.linkedin.com/feed/update/urn:li:activity:6971932103970099200
Optisol offers job shops the most versatile, powerful and flexible software tool, Schedlyzer for production scheduling in high-mix, low-volume environment. Its major strengths include intelligent decision support for managers. It is affordable to most job shops.
Google Books
Production Planning in Automated Manufacturing
Yves Crama, Alwin G. Oerlemans, Frits C.R. Spieksma
Springer Science & Business Media, 06-Dec-2012 - Business & Economics - 239 pages
In this book quantitative approaches are proposed for production planning problems in automated manufacturing. In particular, techniques from operations research provide ways to tackle these problems. Special attention is given to the efficient use of tools in automated manufacturing systems. The book presents models and tests solution strategies for different kinds of production decision problems. A case study in the manufacturing of printed circuit boards highlights the methodology. The book will help to understand the nature of production planning problems in automated manufacturing and show how techniques from operations research may contribute to their solution.
https://books.google.co.in/books?id=9UL1CAAAQBAJ
Scheduling in Industry 4.0 and Cloud Manufacturing
Boris Sokolov, Dmitry Ivanov, Alexandre Dolgui
Springer Nature, 08-Jun-2020 - Business & Economics - 273 pages
This book has resulted from the activities of IFAC TC 5.2 “Manufacturing Modelling for Management and Control”. The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0.
The purpose of this book is to present recent developments in scheduling in cloud manufacturing and Industry 4.0 and to systemize these developments in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and practitioners to uncover the challenges and opportunities of scheduling techniques’ applications to cloud manufacturing and Industry 4.0. For the first time, it comprehensively conceptualizes scheduling in cloud manufacturing and Industry 4.0 systems as a new research domain. The chapters of the book are written by the leading international experts and utilize methods of operations research, industrial engineering and computer science. Such a multi-disciplinary combination is unique and comprehensively deciphers major problem taxonomies, methodologies, and applications to scheduling in cloud manufacturing and Industry 4.0.
https://books.google.co.in/books?id=EUTqDwAAQBAJ
Advances in Production Management Systems. Towards Smart Production Management Systems: IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part II
Farhad Ameri, Kathryn E. Stecke, Gregor von Cieminski, Dimitris Kiritsis
Springer Nature, 23-Aug-2019 - Computers - 645 pages
The two-volume set IFIP AICT 566 and 567 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2019, held in Austin, TX, USA.
The 161 revised full papers presented were carefully reviewed and selected from 184 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: lean production; production management in food supply chains; sustainability and reconfigurability of manufacturing systems; product and asset life cycle management in smart factories of industry 4.0; variety and complexity management in the era of industry 4.0; participatory methods for supporting the career choices in industrial engineering and management education; blockchain in supply chain management; designing and delivering smart services in the digital age; operations management in engineer-to-order manufacturing; the operator 4.0 and the Internet of Things, services and people; intelligent diagnostics and maintenance solutions for smart manufacturing; smart supply networks; production management theory and methodology; data-driven production management; industry 4.0 implementations; smart factory and IIOT; cyber-physical systems; knowledge management in design and manufacturing; collaborative product development; ICT for collaborative manufacturing; collaborative technoloy; applications of machine learning in production management; and collaborative technology.
https://books.google.co.in/books?id=Du2qDwAAQBAJ
Ud. 14.9.2022
Pub 5.5.2022
No comments:
Post a Comment