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Interscience Management Review

Aims & Scope

Readership: Professionals, academics, researchers, and managers in medium and large sized enterprises, policy makers, and non-profit organisations.

Contents: The IMR publishes original and review papers, technical reports, case studies, conference reports, management reports, book reviews, and notes, commentaries, and news. Contribution may be by submission or invitation, and suggestions for special issues. Case studies and practical applications are also published to illustrate recent management and enterprise development.

Subject Coverage:
The journal covers the following areas but not limited to:
Future enterprise
Lean enterprise
Factory of the future
New types of manufacturing organisations
Globalisation and Change management
Changes in manufacturing organisational structure
Business of process systems engineering
The fractal company
Agile manufacturing
Biological manufacturing systems (BMS)
Autonomous and distributed manufacturing systems (ADMS)
Engineering process and the virtual enterprise
Manufacturing innovation
Manufacturing strategy, policy and economics
Product development and production management
Design for manufacture and assembly
Integration in manufacturing systems
Decentralisation and ''de-verticalisation'' in production management
Micro-electronic manufacturing systems and embedded software
High-precision manufacturing for mmm-wave components
Outsourcing
The supply chain; supplier partnership in manufacture
Production planning, scheduling and control
Ecology-driven manufacturing and services
Productivity, performance evaluation and benchmarking
Logistics and virtual benchmarking in logistics
Manufacturing science
Advanced manufacturing systems
Computer-based manufacturing technologies; CAD, CAM, CIM, CNC, DNC, FMS, etc.
Time-based manufacturing technologies: JIT, GT, DFM, TQM, etc.
Holonic manufacturing
Human resources and professional development in the manufacturing industry
Sensors and control technologies
Measurement data processing
Robotics and automation
Web-based technologies
Artificial intelligence in manufacturing
Condition based maintenance