Integrated Reconfigurable Manufacturing Systems and Smart Value Chain [electronic resource] : Sustainable Infrastructure for the Factory of the Future /
Abdi, M. Reza.author.
Labib, Ashraf W.author.
Delavari Edalat, Farideh.author.
Abdi, Alireza.author.
The book develops manufacturing concepts and applications beyond physical production and towards a wider manufacturing value chain incorporating external stakeholders that include suppliers of raw materials and parts, customers, collaborating manufacturing companies, manufacturing service providers, and environmental organisations. The focal point of the value chain remains as a manufacturing system and its operations whiles flows of parts/materials and information and services across the supply/value chain tiers are taken into account. The book emphasises on the two innovative paradigms of Reconfigurable Manufacturing Systems (RMS) and the 4th industrial revolution (Industry 4.0) along with their incorporated development. RMS, as a relatively new paradigm, has been introduced to meet the requirements of ‘the factories of the future’, which is aimed by Industry 4.0, though introducing greater responsiveness and customised flexibility into production systems, in which changes in product volumes and types occur regularly. Manufacturing responsiveness can be achieved by RMS through reconfiguring the production facilities according to changing demands of products and new market conditions. The book addresses challenges of mass-customisation and dynamic changes in the supply-chain environment by focusing on developing new techniques related to integrability, scalability and re-configurability at a system level and manufacturing readiness in terms of financial and technical feasibility of RMS. It demonstrate the expected impacts of an RMS design on operational performance and its supply/value chain in the current/future manufacturing environment facing dynamic changes in the internal/external circumstances. In order to establish a circular economy through the RMS value chain, an integrated data-based reconfiguration link is introduced to incorporate information sharing amongst the value chain stakeholders and facilitate grouping products into families with allocation of the product families to the corresponding system configurations with optimal product-process allocation. Decision support systems such as multi criteria decision making tools are developed and applied for the selection of product families and optimising product-process configuration. The proposed models are illustrated through real case studies in applicable manufacturing firms.
Includes bibliographical references and index.
Chapter1. Introduction -- Part1. Concept and Application of Adaptive Water Management -- Chapter2. Review of the main water management approaches over the last century -- Chapter3. Conceptual Framework of Adaptive Water Management -- Part2. Water management in Developing countries- an empirical study in the Middle East, Iran -- Chapter4. Water management in developing countries: a case study of Iran -- Part3. The Case Study- Background to Greater Tehran and Methods of Data Collection -- Chapter5. The case study- background to Greater Tehran -- Chapter6. The Case Study- Methods of Data Collection -- Part4. Data Analysis Methodology- Evaluation of AWM framework -- Chapter7. Data Analysis Methodology -- Chapter8. Evaluation of polycentric governance -- Chapter9. Evaluation of organisational flexibility -- Chapter10. Evaluation of public participation -- Part5. Conclusions and Recommendations -- Chapter11. Review of the objectives regarding AWM adaptation.
The book develops manufacturing concepts and applications beyond physical production and towards a wider manufacturing value chain incorporating external stakeholders that include suppliers of raw materials and parts, customers, collaborating manufacturing companies, manufacturing service providers, and environmental organisations. The focal point of the value chain remains as a manufacturing system and its operations whiles flows of parts/materials and information and services across the supply/value chain tiers are taken into account. The book emphasises on the two innovative paradigms of Reconfigurable Manufacturing Systems (RMS) and the 4th industrial revolution (Industry 4.0) along with their incorporated development. RMS, as a relatively new paradigm, has been introduced to meet the requirements of ‘the factories of the future’, which is aimed by Industry 4.0, though introducing greater responsiveness and customised flexibility into production systems, in which changes in product volumes and types occur regularly. Manufacturing responsiveness can be achieved by RMS through reconfiguring the production facilities according to changing demands of products and new market conditions. The book addresses challenges of mass-customisation and dynamic changes in the supply-chain environment by focusing on developing new techniques related to integrability, scalability and re-configurability at a system level and manufacturing readiness in terms of financial and technical feasibility of RMS. It demonstrate the expected impacts of an RMS design on operational performance and its supply/value chain in the current/future manufacturing environment facing dynamic changes in the internal/external circumstances. In order to establish a circular economy through the RMS value chain, an integrated data-based reconfiguration link is introduced to incorporate information sharing amongst the value chain stakeholders and facilitate grouping products into families with allocation of the product families to the corresponding system configurations with optimal product-process allocation. Decision support systems such as multi criteria decision making tools are developed and applied for the selection of product families and optimising product-process configuration. The proposed models are illustrated through real case studies in applicable manufacturing firms.
Production management.
Industrial engineering.
Production engineering.
Operations research.
Decision making.
Operations Management.
Industrial and Production Engineering.
Operations Research/Decision Theory.