From Plant and Logistics Control to Multi-Enterprise Collaboration

Nof, Shimon Y.; Morel, Guillaume; Monostori, László; Molina, Arturo; Filip, Florin Gheorghe

doi:10.3182/20050703-6-cz-1902.01461

Cited by 11 publications

(11 citation statements)

References 26 publications

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“…The new era of web-ERP has enhanced the working efficiency as well as effectiveness of Aircraft manufacturing industry. The supply chain management (SCM) is considered a vital critical success factor [19] for Canadian aviation cluster [20] thus ensuring optimum supply of bills of materials during MRP production run [21]. These SCM activities for business to business (B2B) and B2C are managed through various modules of ERP system for instance APO (advanced planning optimization) and Production planning [22].…”

Section: Cim and E-commerce For Aircraft Industry Clustermentioning

confidence: 99%

Predicting, Prioritizing & Planning Enterprise System's CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach

Rashid¹,

Riaz²,

Shami³

2012

IJCA

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Section: Cim and E-commerce For Aircraft Industry Clustermentioning

confidence: 99%

Predicting, Prioritizing & Planning Enterprise System's CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach

Rashid¹,

Riaz²,

Shami³

2012

IJCA

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“…Enterprise Integration is the breaking down organisational barriers to improve synergy within enterprise so that business goals can be achi way [1]. Globalisation brings new economic trends and is forcing companies to change their strategic vision.…”

Section: Enterprise Integrationmentioning

confidence: 99%

Information Modeling and Knowledge Management Approach to Reconfiguring Manufacturing Enterprises

Raza¹,

Harrison²

2011

IJAIT

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This research aims to gain a detailed understanding of data producers, data consumers and format/flow of the data within automotive industry for defining and using Bill of Process (BoP) for engine assembly lines. The focus remained on the real industrial challenge of rapid constraint evaluation for designing and/or reconfiguration of Powertrain assembly lines to cater for a new/changed product. A methodology is developed to facilitate Ford Company to quickly model and re-configure new/changed assembly line for building new/changed engine. This is made possible with the help of modular approach and developing relationships among products, processes and resources. The data and information of the PPRis made available to all the stake holders of the organisation independent of the platform or specific application being used at the department/facility.

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“…Accordingly, next generation systems are expected to comprise higher levels of flexibility in responding to the dynamic needs of subsystems and network elements in a timely manner (Nof et al, 2006). There is a growing demand for the design and control of complex super-systems or systems of systems, which have emerging applications in space exploration, healthcare, computer networks, software integration, air and auto transportation systems, energy management, etc.…”

Section: Complexity Handlingmentioning

confidence: 99%

Emerging Trends and Research Challenges

Nof

Ceroni

Jeong

et al. 2015

Revolutionizing Collaboration Through E-Work, E-Business, and E-Service

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Abstract.The methods by which distributed agents, from micro-and nanosensors to computers, machines, humans, and enterprises, interact and collaborate are being rapidly transformed. The concepts, theoretical foundations, and applications of collaborative e-Work discussed in this book are both enablers and direct results of automation of collaborative processes, activities, and interactions among the distributed entities. The future of production and service systems depends highly on the effective design and engineering of collaborative e-Work, and their integration into their design, i.e., automated and collaborative systems. The principles, models, and techniques of CCT, the Collaborative Control Theory (Nof, 2007), as explained in the previous chapters, provide insights for design, and supports execution and control through optimized e-Activities. The future challenges are also concerned with the evaluation and assessment of new e-Criteria, such as integrity, viability, collaboration-ability, survivability, and so on. This chapter summarizes and briefly discusses the emerging trends and challenges of next generation e-Work, e-Business, and e-Service systems (simply e-Systems) from a variety of perspectives. The objective is to bring up new open questions and research challenges, and provide organized insights for future research and development. Computer and Communication SecurityEmerging e-Systems call for higher levels of dependability and security, enabled by structured backup and recovery mechanisms for information, computer, and communication systems. The focus should be on preventing and eliminating any conceivable errors, failures, and conflicts, and sustaining critical continuity of operations. The critical dimensions of risk are mainly concerned with privacy invasion, electronic surveillance, accuracy and integrity, intellectual and physical property protection, accessibility issues, and confidentiality. Following the trends towards highly distributed and networked computer and information systems, security is being enabled by autonomous agents. Examples include 1) self-and

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From Plant and Logistics Control to Multi-Enterprise Collaboration

Cited by 11 publications

References 26 publications

Predicting, Prioritizing & Planning Enterprise System's CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach

Predicting, Prioritizing & Planning Enterprise System's CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach

Information Modeling and Knowledge Management Approach to Reconfiguring Manufacturing Enterprises

Emerging Trends and Research Challenges

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From Plant and Logistics Control to Multi-Enterprise Collaboration

Cited by 11 publications

References 26 publications

Predicting, Prioritizing & Planning Enterprise System&apos;s CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach

Predicting, Prioritizing & Planning Enterprise System&apos;s CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach

Information Modeling and Knowledge Management Approach to Reconfiguring Manufacturing Enterprises

Emerging Trends and Research Challenges

Contact Info

Product

Resources

About

Predicting, Prioritizing & Planning Enterprise System's CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach

Predicting, Prioritizing & Planning Enterprise System's CSFs for Smart Factory: a Balanced Scorecard FPG-Data-Mining Scenario Approach