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Publisher: Emerald   (Total: 335 journals)

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Showing 1 - 200 of 335 Journals sorted alphabetically
A Life in the Day     Hybrid Journal   (Followers: 9)
Academia Revista Latinoamericana de Administración     Open Access   (Followers: 2, SJR: 0.144, h-index: 4)
Accounting Auditing & Accountability J.     Hybrid Journal   (Followers: 30)
Accounting Research J.     Hybrid Journal   (Followers: 24, SJR: 0.26, h-index: 7)
Accounting, Auditing and Accountability J.     Hybrid Journal   (Followers: 18, SJR: 0.88, h-index: 40)
Advances in Accounting Education     Hybrid Journal   (Followers: 14, SJR: 0.514, h-index: 5)
Advances in Appreciative Inquiry     Hybrid Journal   (SJR: 0.124, h-index: 5)
Advances in Autism     Hybrid Journal   (Followers: 8)
Advances in Dual Diagnosis     Hybrid Journal   (Followers: 48, SJR: 0.228, h-index: 2)
Advances in Gender Research     Full-text available via subscription   (Followers: 3, SJR: 0.229, h-index: 7)
Advances in Intl. Marketing     Full-text available via subscription   (Followers: 5, SJR: 0.123, h-index: 11)
Advances in Mental Health and Intellectual Disabilities     Hybrid Journal   (Followers: 60, SJR: 0.29, h-index: 5)
Advances in Mental Health and Learning Disabilities     Hybrid Journal   (Followers: 30)
African J. of Economic and Management Studies     Hybrid Journal   (Followers: 11, SJR: 0.125, h-index: 2)
Agricultural Finance Review     Hybrid Journal  
Aircraft Engineering and Aerospace Technology     Hybrid Journal   (Followers: 182, SJR: 0.391, h-index: 18)
American J. of Business     Hybrid Journal   (Followers: 16)
Annals in Social Responsibility     Full-text available via subscription  
Anti-Corrosion Methods and Materials     Hybrid Journal   (Followers: 10, SJR: 0.215, h-index: 25)
Arts and the Market     Hybrid Journal   (Followers: 9)
Asia Pacific J. of Marketing and Logistics     Hybrid Journal   (Followers: 8, SJR: 0.244, h-index: 15)
Asia-Pacific J. of Business Administration     Hybrid Journal   (Followers: 3, SJR: 0.182, h-index: 7)
Asian Association of Open Universities J.     Open Access  
Asian Education and Development Studies     Hybrid Journal   (Followers: 5)
Asian J. on Quality     Hybrid Journal   (Followers: 2)
Asian Review of Accounting     Hybrid Journal   (Followers: 2, SJR: 0.29, h-index: 7)
Aslib J. of Information Management     Hybrid Journal   (Followers: 24, SJR: 0.65, h-index: 29)
Aslib Proceedings     Hybrid Journal   (Followers: 262)
Assembly Automation     Hybrid Journal   (Followers: 2, SJR: 0.657, h-index: 26)
Baltic J. of Management     Hybrid Journal   (Followers: 3, SJR: 0.354, h-index: 14)
Benchmarking : An Intl. J.     Hybrid Journal   (Followers: 10, SJR: 0.556, h-index: 38)
British Food J.     Hybrid Journal   (Followers: 16, SJR: 0.329, h-index: 35)
Built Environment Project and Asset Management     Hybrid Journal   (Followers: 15, SJR: 0.232, h-index: 4)
Business Process Re-engineering & Management J.     Hybrid Journal   (Followers: 8, SJR: 0.614, h-index: 42)
Business Strategy Series     Hybrid Journal   (Followers: 6, SJR: 0.201, h-index: 6)
Career Development Intl.     Hybrid Journal   (Followers: 16, SJR: 0.686, h-index: 32)
China Agricultural Economic Review     Hybrid Journal   (Followers: 2, SJR: 0.238, h-index: 10)
China Finance Review Intl.     Hybrid Journal   (Followers: 5)
Chinese Management Studies     Hybrid Journal   (Followers: 4, SJR: 0.216, h-index: 12)
Circuit World     Hybrid Journal   (Followers: 15, SJR: 0.346, h-index: 17)
Collection Building     Hybrid Journal   (Followers: 11, SJR: 0.829, h-index: 10)
COMPEL: The Intl. J. for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 3, SJR: 0.269, h-index: 22)
Competitiveness Review : An Intl. Business J. incorporating J. of Global Competitiveness     Hybrid Journal   (Followers: 6)
Construction Innovation: Information, Process, Management     Hybrid Journal   (Followers: 14, SJR: 0.508, h-index: 8)
Corporate Communications An Intl. J.     Hybrid Journal   (Followers: 7, SJR: 0.703, h-index: 26)
Corporate Governance Intl. J. of Business in Society     Hybrid Journal   (Followers: 7, SJR: 0.309, h-index: 29)
Critical Perspectives on Intl. Business     Hybrid Journal   (SJR: 0.32, h-index: 15)
Cross Cultural & Strategic Management     Hybrid Journal   (Followers: 8, SJR: 0.356, h-index: 13)
Development and Learning in Organizations     Hybrid Journal   (Followers: 7, SJR: 0.138, h-index: 8)
Digital Library Perspectives     Hybrid Journal   (Followers: 18)
Direct Marketing An Intl. J.     Hybrid Journal   (Followers: 6)
Disaster Prevention and Management     Hybrid Journal   (Followers: 22, SJR: 0.533, h-index: 32)
Drugs and Alcohol Today     Hybrid Journal   (Followers: 134, SJR: 0.241, h-index: 4)
Education + Training     Hybrid Journal   (Followers: 21, SJR: 0.532, h-index: 30)
Education, Business and Society : Contemporary Middle Eastern Issues     Hybrid Journal   (SJR: 0.141, h-index: 10)
Emerald Emerging Markets Case Studies     Hybrid Journal   (Followers: 1)
Employee Relations     Hybrid Journal   (Followers: 6, SJR: 0.435, h-index: 22)
Engineering Computations     Hybrid Journal   (Followers: 4, SJR: 0.387, h-index: 39)
Engineering, Construction and Architectural Management     Hybrid Journal   (Followers: 14, SJR: 0.541, h-index: 28)
Equal Opportunities Intl.     Hybrid Journal   (Followers: 3)
Equality, Diversity and Inclusion : An Intl. J.     Hybrid Journal   (Followers: 14, SJR: 0.239, h-index: 9)
EuroMed J. of Business     Hybrid Journal   (Followers: 1, SJR: 0.145, h-index: 9)
European Business Review     Hybrid Journal   (Followers: 7, SJR: 0.481, h-index: 21)
European J. of Innovation Management     Hybrid Journal   (Followers: 23, SJR: 0.596, h-index: 30)
European J. of Marketing     Hybrid Journal   (Followers: 20, SJR: 0.933, h-index: 55)
European J. of Training and Development     Hybrid Journal   (Followers: 10, SJR: 0.489, h-index: 23)
Evidence-based HRM     Hybrid Journal   (Followers: 6)
Facilities     Hybrid Journal   (Followers: 2, SJR: 0.371, h-index: 18)
Foresight     Hybrid Journal   (Followers: 7, SJR: 0.486, h-index: 20)
Gender in Management : An Intl. J.     Hybrid Journal   (Followers: 17, SJR: 0.359, h-index: 22)
Grey Systems : Theory and Application     Hybrid Journal   (Followers: 1)
Health Education     Hybrid Journal   (Followers: 3, SJR: 0.383, h-index: 17)
Higher Education, Skills and Work-based Learning     Hybrid Journal   (Followers: 45, SJR: 0.172, h-index: 4)
History of Education Review     Hybrid Journal   (Followers: 13, SJR: 0.141, h-index: 2)
Housing, Care and Support     Hybrid Journal   (Followers: 9, SJR: 0.174, h-index: 4)
Human Resource Management Intl. Digest     Hybrid Journal   (Followers: 17, SJR: 0.121, h-index: 6)
Humanomics     Hybrid Journal   (Followers: 2, SJR: 0.14, h-index: 4)
IMP J.     Hybrid Journal  
Indian Growth and Development Review     Hybrid Journal   (SJR: 0.163, h-index: 4)
Industrial and Commercial Training     Hybrid Journal   (Followers: 5, SJR: 0.217, h-index: 14)
Industrial Lubrication and Tribology     Hybrid Journal   (Followers: 6, SJR: 0.322, h-index: 19)
Industrial Management & Data Systems     Hybrid Journal   (Followers: 6, SJR: 0.63, h-index: 69)
Industrial Robot An Intl. J.     Hybrid Journal   (Followers: 3, SJR: 0.375, h-index: 32)
Info     Hybrid Journal   (Followers: 1, SJR: 0.25, h-index: 21)
Information and Computer Security     Hybrid Journal   (Followers: 22)
Information Technology & People     Hybrid Journal   (Followers: 45, SJR: 0.576, h-index: 28)
Interactive Technology and Smart Education     Hybrid Journal   (Followers: 14, SJR: 0.112, h-index: 1)
Interlending & Document Supply     Hybrid Journal   (Followers: 61, SJR: 0.48, h-index: 13)
Internet Research     Hybrid Journal   (Followers: 42, SJR: 1.746, h-index: 57)
Intl. J. for Lesson and Learning Studies     Hybrid Journal   (Followers: 4)
Intl. J. for Researcher Development     Hybrid Journal   (Followers: 9)
Intl. J. of Accounting and Information Management     Hybrid Journal   (Followers: 8, SJR: 0.304, h-index: 7)
Intl. J. of Bank Marketing     Hybrid Journal   (Followers: 8, SJR: 0.515, h-index: 38)
Intl. J. of Climate Change Strategies and Management     Hybrid Journal   (Followers: 14, SJR: 0.416, h-index: 7)
Intl. J. of Clothing Science and Technology     Hybrid Journal   (Followers: 5, SJR: 0.279, h-index: 25)
Intl. J. of Commerce and Management     Hybrid Journal   (Followers: 1)
Intl. J. of Conflict Management     Hybrid Journal   (Followers: 15, SJR: 0.763, h-index: 38)
Intl. J. of Contemporary Hospitality Management     Hybrid Journal   (Followers: 12, SJR: 1.329, h-index: 35)
Intl. J. of Culture Tourism and Hospitality Research     Hybrid Journal   (Followers: 17, SJR: 0.399, h-index: 5)
Intl. J. of Development Issues     Hybrid Journal   (Followers: 10)
Intl. J. of Disaster Resilience in the Built Environment     Hybrid Journal   (Followers: 8, SJR: 0.225, h-index: 7)
Intl. J. of Educational Management     Hybrid Journal   (Followers: 5, SJR: 0.424, h-index: 32)
Intl. J. of Emergency Services     Hybrid Journal   (Followers: 5, SJR: 0.179, h-index: 1)
Intl. J. of Emerging Markets     Hybrid Journal   (Followers: 4, SJR: 0.199, h-index: 5)
Intl. J. of Energy Sector Management     Hybrid Journal   (Followers: 3, SJR: 0.25, h-index: 12)
Intl. J. of Entrepreneurial Behaviour & Research     Hybrid Journal   (Followers: 5, SJR: 0.694, h-index: 28)
Intl. J. of Event and Festival Management     Hybrid Journal   (Followers: 6, SJR: 0.32, h-index: 8)
Intl. J. of Gender and Entrepreneurship     Hybrid Journal   (Followers: 5, SJR: 0.638, h-index: 6)
Intl. J. of Health Care Quality Assurance     Hybrid Journal   (Followers: 10, SJR: 0.352, h-index: 32)
Intl. J. of Health Governance     Hybrid Journal   (Followers: 26, SJR: 0.277, h-index: 15)
Intl. J. of Housing Markets and Analysis     Hybrid Journal   (Followers: 9, SJR: 0.201, h-index: 5)
Intl. J. of Human Rights in Healthcare     Hybrid Journal   (Followers: 9, SJR: 0.13, h-index: 2)
Intl. J. of Information and Learning Technology     Hybrid Journal   (Followers: 7)
Intl. J. of Innovation Science     Hybrid Journal   (Followers: 9, SJR: 0.173, h-index: 5)
Intl. J. of Intelligent Computing and Cybernetics     Hybrid Journal   (Followers: 3, SJR: 0.258, h-index: 10)
Intl. J. of Intelligent Unmanned Systems     Hybrid Journal   (Followers: 4, SJR: 0.145, h-index: 2)
Intl. J. of Islamic and Middle Eastern Finance and Management     Hybrid Journal   (Followers: 8)
Intl. J. of Law and Management     Hybrid Journal   (Followers: 2, SJR: 0.107, h-index: 2)
Intl. J. of Law in the Built Environment     Hybrid Journal   (Followers: 4, SJR: 0.111, h-index: 2)
Intl. J. of Leadership in Public Services     Hybrid Journal   (Followers: 16)
Intl. J. of Lean Six Sigma     Hybrid Journal   (Followers: 7, SJR: 0.562, h-index: 15)
Intl. J. of Logistics Management     Hybrid Journal   (Followers: 12, SJR: 0.998, h-index: 15)
Intl. J. of Managerial Finance     Hybrid Journal   (Followers: 6, SJR: 0.212, h-index: 11)
Intl. J. of Managing Projects in Business     Hybrid Journal   (Followers: 2)
Intl. J. of Manpower     Hybrid Journal   (Followers: 2, SJR: 0.354, h-index: 37)
Intl. J. of Mentoring and Coaching in Education     Hybrid Journal   (Followers: 25)
Intl. J. of Migration, Health and Social Care     Hybrid Journal   (Followers: 10, SJR: 0.261, h-index: 5)
Intl. J. of Numerical Methods for Heat & Fluid Flow     Hybrid Journal   (Followers: 11, SJR: 0.594, h-index: 32)
Intl. J. of Operations & Production Management     Hybrid Journal   (Followers: 19, SJR: 2.198, h-index: 94)
Intl. J. of Organizational Analysis     Hybrid Journal   (Followers: 3, SJR: 0.222, h-index: 11)
Intl. J. of Pervasive Computing and Communications     Hybrid Journal   (Followers: 4, SJR: 0.165, h-index: 9)
Intl. J. of Pharmaceutical and Healthcare Marketing     Hybrid Journal   (Followers: 4, SJR: 0.304, h-index: 12)
Intl. J. of Physical Distribution & Logistics Management     Hybrid Journal   (Followers: 11, SJR: 1.694, h-index: 66)
Intl. J. of Prisoner Health     Hybrid Journal   (Followers: 10, SJR: 0.254, h-index: 10)
Intl. J. of Productivity and Performance Management     Hybrid Journal   (Followers: 6, SJR: 0.785, h-index: 31)
Intl. J. of Public Sector Management     Hybrid Journal   (Followers: 24, SJR: 0.272, h-index: 37)
Intl. J. of Quality & Reliability Management     Hybrid Journal   (Followers: 8, SJR: 0.544, h-index: 63)
Intl. J. of Quality and Service Sciences     Hybrid Journal   (Followers: 2, SJR: 0.133, h-index: 1)
Intl. J. of Retail & Distribution Management     Hybrid Journal   (Followers: 6, SJR: 0.543, h-index: 36)
Intl. J. of Service Industry Management     Hybrid Journal   (Followers: 2)
Intl. J. of Social Economics     Hybrid Journal   (Followers: 8, SJR: 0.227, h-index: 25)
Intl. J. of Sociology and Social Policy     Hybrid Journal   (Followers: 48, SJR: 0.361, h-index: 5)
Intl. J. of Sports Marketing and Sponsorship     Hybrid Journal   (Followers: 1)
Intl. J. of Structural Integrity     Hybrid Journal   (Followers: 2, SJR: 0.325, h-index: 8)
Intl. J. of Sustainability in Higher Education     Hybrid Journal   (Followers: 12, SJR: 0.616, h-index: 29)
Intl. J. of Tourism Cities     Hybrid Journal   (Followers: 2)
Intl. J. of Web Information Systems     Hybrid Journal   (Followers: 6, SJR: 0.208, h-index: 13)
Intl. J. of Wine Business Research     Hybrid Journal   (Followers: 6, SJR: 0.196, h-index: 12)
Intl. J. of Workplace Health Management     Hybrid Journal   (Followers: 11, SJR: 0.358, h-index: 8)
Intl. Marketing Review     Hybrid Journal   (Followers: 16, SJR: 1.076, h-index: 57)
J. for Multicultural Education     Hybrid Journal   (Followers: 3, SJR: 0.124, h-index: 11)
J. of Accounting & Organizational Change     Hybrid Journal   (Followers: 5, SJR: 0.346, h-index: 7)
J. of Accounting in Emerging Economies     Hybrid Journal   (Followers: 7)
J. of Adult Protection, The     Hybrid Journal   (Followers: 15, SJR: 0.291, h-index: 7)
J. of Advances in Management Research     Hybrid Journal   (Followers: 3)
J. of Aggression, Conflict and Peace Research     Hybrid Journal   (Followers: 49, SJR: 0.177, h-index: 9)
J. of Agribusiness in Developing and Emerging Economies     Hybrid Journal   (Followers: 1)
J. of Applied Accounting Research     Hybrid Journal   (Followers: 16, SJR: 0.22, h-index: 5)
J. of Applied Research in Higher Education     Hybrid Journal   (Followers: 51)
J. of Asia Business Studies     Hybrid Journal   (Followers: 2, SJR: 0.115, h-index: 1)
J. of Assistive Technologies     Hybrid Journal   (Followers: 19, SJR: 0.215, h-index: 6)
J. of Business & Industrial Marketing     Hybrid Journal   (Followers: 8, SJR: 0.664, h-index: 48)
J. of Business Strategy     Hybrid Journal   (Followers: 12, SJR: 0.381, h-index: 17)
J. of Centrum Cathedra     Open Access  
J. of Children's Services     Hybrid Journal   (Followers: 5, SJR: 0.167, h-index: 9)
J. of Chinese Economic and Foreign Trade Studies     Hybrid Journal   (Followers: 1, SJR: 0.188, h-index: 4)
J. of Chinese Entrepreneurship     Hybrid Journal   (Followers: 3)
J. of Chinese Human Resource Management     Hybrid Journal   (Followers: 7, SJR: 0.112, h-index: 3)
J. of Communication Management     Hybrid Journal   (Followers: 7, SJR: 0.735, h-index: 6)
J. of Consumer Marketing     Hybrid Journal   (Followers: 18, SJR: 0.613, h-index: 62)
J. of Corporate Real Estate     Hybrid Journal   (Followers: 3, SJR: 0.633, h-index: 5)
J. of Criminal Psychology     Hybrid Journal   (Followers: 127, SJR: 0.13, h-index: 1)
J. of Criminological Research, Policy and Practice     Hybrid Journal   (Followers: 54)
J. of Cultural Heritage Management and Sustainable Development     Hybrid Journal   (Followers: 11, SJR: 0.109, h-index: 5)
J. of Documentation     Hybrid Journal   (Followers: 189, SJR: 0.936, h-index: 50)
J. of Economic and Administrative Sciences     Hybrid Journal   (Followers: 3)
J. of Economic Studies     Hybrid Journal   (Followers: 10, SJR: 0.498, h-index: 26)
J. of Educational Administration     Hybrid Journal   (Followers: 7, SJR: 0.848, h-index: 36)
J. of Engineering, Design and Technology     Hybrid Journal   (Followers: 17, SJR: 0.173, h-index: 10)
J. of Enterprise Information Management     Hybrid Journal   (Followers: 5, SJR: 0.433, h-index: 38)
J. of Enterprising Communities People and Places in the Global Economy     Hybrid Journal   (Followers: 1, SJR: 0.212, h-index: 8)
J. of Entrepreneurship and Public Policy     Hybrid Journal   (Followers: 9)
J. of European Industrial Training     Hybrid Journal   (Followers: 2)
J. of European Real Estate Research     Hybrid Journal   (Followers: 3, SJR: 0.52, h-index: 7)
J. of Facilities Management     Hybrid Journal   (Followers: 3)
J. of Family Business Management     Hybrid Journal   (Followers: 6)
J. of Fashion Marketing and Management     Hybrid Journal   (Followers: 13, SJR: 0.529, h-index: 30)
J. of Financial Crime     Hybrid Journal   (Followers: 345, SJR: 0.158, h-index: 5)
J. of Financial Economic Policy     Hybrid Journal   (Followers: 1)
J. of Financial Management of Property and Construction     Hybrid Journal   (Followers: 8, SJR: 0.234, h-index: 1)
J. of Financial Regulation and Compliance     Hybrid Journal   (Followers: 9)
J. of Financial Reporting and Accounting     Hybrid Journal   (Followers: 11)
J. of Forensic Practice     Hybrid Journal   (Followers: 50, SJR: 0.225, h-index: 8)
J. of Global Mobility     Hybrid Journal   (Followers: 1)
J. of Global Responsibility     Hybrid Journal   (Followers: 4)
J. of Health Organisation and Management     Hybrid Journal   (Followers: 23, SJR: 0.67, h-index: 27)
J. of Historical Research in Marketing     Hybrid Journal   (Followers: 3, SJR: 0.376, h-index: 8)
J. of Hospitality and Tourism Technology     Hybrid Journal   (Followers: 4, SJR: 0.672, h-index: 10)
J. of Human Resource Costing & Accounting     Hybrid Journal   (Followers: 5)
J. of Humanitarian Logistics and Supply Chain Management     Hybrid Journal   (Followers: 13)

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Journal Cover Assembly Automation
  [SJR: 0.657]   [H-I: 26]   [2 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0144-5154
   Published by Emerald Homepage  [335 journals]
  • A modification of DMVs based state space model of variation propagation
           for multistage machining processes
    • Pages: 381 - 390
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 381-390, September 2017.
      Purpose Complicated workpiece, such as an engine block, has special rough locating datum features (i.e. six independent datum features) due to its complex structure. This locating datum error cannot be handled by current variation propagation model based on differential motion vectors. To extend variation prediction fields, this paper aims to solve the unaddressed variation sources to modify current model for multistage machining processes. Design/methodology/approach To overcome the limitation of current variation propagation model based on differential motion vectors caused by the unaddressed variation sources, this paper will extend the current model by handling the unaddressed datum-induced variation and its corresponding fixture variation. Findings The measurement results of the rear face with respect to the rough datum W and the pan face with respect to the hole Q by coordinate measuring machine (CMM) are −0.006 mm and 0.031 mm. The variation results for rear face and pan face predicted by the modified model are −0.009 mm and 0.025 mm, respectively. The discrepancy of model prediction and measurement is very small. Originality/value This paper modifies the variation propagation model based on differential motion vectors by solving the unaddressed variation sources, which can extend the variation prediction fields for some complicated workpiece and is useful in the future work for many fields, such as process monitoring, fault diagnosis, quality-assured setup planning and process-oriented tolerancing.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:11:47Z
      DOI: 10.1108/AA-06-2016-052
  • Improving decision making in product flow-based tiling automation for
           custom mosaic design
    • Pages: 391 - 399
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 391-399, September 2017.
      Purpose The purpose of this paper is to present a new tile dispensing decision-making to improve a row formation of a product flow-based tiling automation that has been being developed to support tile placement for custom mosaic design. Design/methodology/approach A new tile dispensing decision-making combines maximum tile loading and simple cycle strategies to minimize time for forming rows of tiles. The maximum tile loading strategy is for minimizing the number of loading rounds, while the simple cycle strategy is for minimizing the movement during the row formation. Findings This proposed decision-making has been developed; implemented in LabVIEW software; linked with other LabVIEW-based programs to control the system; and tested. The results showed the tile dispensing with the proposed decision-making performed better than the previous one. Research limitations/implications The tiling automation is being developed and is currently on a prototyping stage. Originality/value Tile dispensing is critical for this row by row automated assembly, but the existing shortest distance strategy does not guarantee the best performance for a row formation. Therefore, the combination of the maximum tile loading and simple cycle strategies has been developed to improve the performance of the product flow-based tiling automation to better support assembly of custom mosaic design that requires individual tesserae to be assembled to particular positions to illustrate an image properly.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:11:57Z
      DOI: 10.1108/AA-07-2016-085
  • Implementation and evaluation of a model processing pipeline for assembly
    • Pages: 400 - 410
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 400-410, September 2017.
      Purpose The paper aims to present the processing pipeline of an assembly immersive simulation application which can manage the interaction between the virtual scene and user using stereoscopic display and haptic devices. A new set of elements are integrated in a Collaborative Virtual Environment (CVE) and validated using an approach based on subjective and objective users’ performance criteria. The developed application is intended for Assembly/Disassembly (A/D) analysis, planning and training. Design/methodology/approach A mobility module based on contact information is used to handle the assembly components’ movements through real-time management of collision detection and kinematically constraint guidance. Information on CVE architecture, modules and application configuration process are presented. Impact of device type (3 degrees of freedom (DoFs) vs 6 DoFs) over user’s experience is evaluated. Parameters (number of assembled components and components assembly time) are measured for each user and each haptic device, and results are compared and discussed. Findings Test results proved the efficiency of using a mobility module based on predefined kinematic constraints for reducing the complexity of collision detection algorithms in real-time assembly haptic simulations. Also, experiments showed that, generally, users performed better with 3 DoFs haptic device compared to 6 DoFs haptic equipment. Originality/value The proposed immersive application automates the kinematical joints inference from 3D computer-aided design (CAD) assembly models and integrates it within a haptic-based virtual environment, for increasing the efficiency of A/D process simulations.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:12:07Z
      DOI: 10.1108/AA-11-2015-104
  • Agility in assembly systems: a comparison model
    • Pages: 411 - 421
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 411-421, September 2017.
      Purpose This paper aims at analyzing different possible assembly systems, including innovative potential configurations such as the fully flexible assembly systems (FAS), by defining a novel analytical model that focuses on the concept of agility and its impact on the whole system performance, also evaluating the economic convenience in terms of the unit direct production cost. Design/methodology/approach The authors propose a comparison model derived by Newton’s second law, introducing a quantitative definition of agility (acceleration), resistance of an assembly system to any change of its operative state (inertia) and unit direct production cost (force). Different types of assembly systems (manual, flexible and fully FAS) are analyzed and compared using the proposed model, investigating agility, system inertia and their impact on the unit direct production cost. Findings The proposed agility definition and the proposed comparison model have been applied considering different sets of parameters as independent variables, such as the number of components to assemble (product model complexity) and the target throughput of the system. The main findings are a series of convenience areas which either, for a given target unit direct production cost (force), defines the most agile system to adopt or, for a given target agility (acceleration), defines the most economical system to adopt, as function of the independent variables. Originality/value The novelty of this work is, first, the analytical definition of agility applied to assembly systems and contextualized by means of the definition of the new comparison model. The comparison between different assembly systems on the basis of agility, and by using different sets of independent variables, is a further element of interest. Finally, the resulting convenience areas represent a desirable tool that could be used to optimally choose the most suitable assembly system according to one or more system parameters.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:11:49Z
      DOI: 10.1108/AA-10-2016-128
  • An assembly gap control method based on posture alignment of wing panels
           in aircraft assembly
    • Pages: 422 - 433
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 422-433, September 2017.
      Purpose The purpose of this paper is to present an optimal posture evaluation model to control the assembly gaps in aircraft wing assembly. The gaps between two mating surfaces should be strictly controlled in precision manufacturing. Oversizing of gaps will decrease the dimensional accuracy and may reduce the fatigue life of a mechanical product. To reduce the gaps and keep them within tolerance, the relative posture (orientation and position) of two components should be optimized in the assembly process. Design/methodology/approach Based on the step alignment strategy, i.e. preliminary alignment and refined alignment, the concept of a small posture transformation (SPT) is introduced. In the preliminary alignment, an initial posture is estimated by a set of auxiliary locating points, with which the components can be quickly aligned near each other. In the refined alignment, the assembly gaps are calculated and the formulation of the gaps with component posture is derived by the SPT. A comprehensive weighted minimization model with gap tolerance constraints is established for redistributing the gaps in multi-regions. Powell-Hestenes-Rockafellar optimization, Singular Value Decomposition and K-Dimensional tree searching are introduced for the solution of the optimal posture for localization. Findings Using the SPT, the trigonometric posture transformation is linearized, which benefits the iterative solution process. Through the constrained model, overall gaps are minimized and excess gaps are controlled within tolerance. Practical implications This method has been tested with simulated model data and real product data, the results of which have shown efficient coordination of mating components. Originality/value This paper proposed an optimal posture evaluation method for minimizing the gaps between mating surfaces through component adjustments. This will promote the assembly automation and variation control in aircraft wing assembly.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:12:04Z
      DOI: 10.1108/AA-04-2016-031
  • Optical scanner assisted robotic assembly
    • Pages: 434 - 441
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 434-441, September 2017.
      Purpose This paper aims to propose the method of automatic robotic assembly of two or more parts placed without fixing instrumentation and positioning on the pallet. Design/methodology/approach Assembly tasks performed by industrial robots are usually based on a constant program, extensive tooling, fixing objects in a given place and a relatively limited sensory system. In this study, a different approach is presented. The industrial robot program is adjusted to the location of parts for assembly in the work space. This leads to a transition from a clearly defined assembly sequence realized by the industrial robot to the one in which the order of execution of the assembly operations can be determined by the mutual position of parts to be assembled. Findings The method presented in this study combines many already known algorithms. The contribution of the authors is to test and select the appropriate combination of methods capable of supporting robotic assembly process based on data from optical 3D scanners. The sequence of operations from scanning to place the parts in the installation position by an industrial robot is developed. A set of parameters for selected methods is presented. The result is a universal procedure that determines the position of the preset models in partial measurements performed at a fixed relative position of the sensor, the measurement object. Originality/value The developed procedure for determining the position of the parts is essential to develop a flexible robotic assembly system. It will be able to perform the task of assembly on the basis of appropriate search algorithms taking into account the selected and implemented sequence of assembly position and orientation of parts, particularly the base unit freely placed on an assembly pallete. It is also the basis of a system for testing different algorithms to optimize the flexible robotic assembly.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:11:55Z
      DOI: 10.1108/AA-07-2016-068
  • A hybrid technology for assembly sequence planning of reflector panels
    • Pages: 442 - 451
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 442-451, September 2017.
      Purpose The purpose of this study is to guarantee assembly quality and reduce the number of manufacturing cycles required for an reflector of the large reflector antenna. An optimal approach combining a finite element method (FEM) with a genetic algorithm (GA) is developed to simulate and optimize reflector assembly before the assembly stage. Design/methodology/approach The chromosomes of GA are encoded with the consideration of the factors that affect the assembly of reflector. The fitness function of the GA consists of the assembly accuracy obtained from simulation, with evaluation of the assembly time consumption and labor cost. The algorithm will terminate when the GA is finished or the simulation results meet the permissible accuracy. Taking the assembly process of the reflector into account, an FEM based on a “life – death element” technique is introduced to quickly and precisely simulate reflector assembly. Findings A case study is presented, to which the proposed approach is applied. The results of finite element simulation demonstrate that the proposed FEM can simulate the reflector assembly process with oversimplified modeling and accurate simulation results. The optimal approach provides an accurate and efficient method for reflector assembly sequence planning indicated by the comparison of the measurements and calculation results. Originality/value The results also demonstrate that the proposed approach has practical significance for guiding reflector assembly in engineering practice.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:11:59Z
      DOI: 10.1108/AA-12-2016-171
  • A novel discrete particle swarm algorithm for assembly line balancing
    • Pages: 452 - 463
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 452-463, September 2017.
      Purpose The purpose of this paper is to develop a feasible sequence-oriented new discrete particle swarm optimization (NDPSO) algorithm with novel particles’ updating mechanism for solving simple assembly line balancing problems (SALBPs). Design/methodology/approach In the NDPSO, a task-oriented representation is adopted to solve type I and type II SALBPs, and a particle directly represents a feasible task sequence (FTS) as a permutation. Then, the particle (permutation) is updated as a whole using the geometric crossover based on the edit distance with swaps for two permutations. Furthermore, the fragment mutation with adaptive mutation probability is incorporated into the NDPSO to improve exploration ability. Findings Case study illustrates the effectiveness of the NDPSO. Comparative results between the NDPSO and existing real-encoded PSO (CPSO) and direct discrete PSO (DDPSO) against benchmark instances of type I SALBP and type II SALBP show promising higher performance of the proposed NDPSO. Originality/value A novel particles’ updating mechanism for FTS-encoded particle is proposed to solve the SALBPs. The comparative results indicate that updating of FTS as a whole seems superior to existing updating of FTS by fragment with respect to exploration ability for solving SALBPs. The novel particles’ updating mechanism is also applicable to generalized assembly line balancing problems.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:12:00Z
      DOI: 10.1108/AA-08-2016-104
  • Vibration prediction of pellet mills power transmission by artificial
           neural network
    • Pages: 464 - 470
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 464-470, September 2017.
      Purpose The purpose of this study is to establish a vibration prediction of pellet mills power transmission by artificial neural network. Vibration monitoring is an important task for any system to ensure safe operations. Improvement of control strategies is crucial for the vibration monitoring. Design/methodology/approach As predictive control is one of the options for the vibration monitoring in this paper, the predictive model for vibration monitoring was created. Findings Although the achieved prediction results were acceptable, there is need for more work to apply and test these results in real environment. Originality/value Artificial neural network (ANN) was implemented as the predictive model while extreme learning machine (ELM) and back propagation (BP) learning schemes were used as training algorithms for the ANN. BP learning algorithm minimizes the error function by using the gradient descent method. ELM training algorithm is based on selecting of the input weights randomly of the ANN network and the output weight of the network are determined analytically.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:11:44Z
      DOI: 10.1108/AA-06-2016-060
  • Shimming design and optimal selection for non-uniform gaps in wing
    • Pages: 471 - 482
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 471-482, September 2017.
      Purpose This paper aims to provide a shimming method based on scanned data and finite element analysis (FEA) for a wing box assembly involving non-uniform gaps. The effort of the present work is to deal with gap compensation problem using hybrid shims composed of solid and liquid forms. Design/methodology/approach First, the assembly gaps of the mating components are calculated based on the scanned surfaces. The local gap region is extracted by the seed point and region growth algorithm from the scattered point cloud. Second, with the constraints of hole margin, gap space and shim specification, the optional shimming schemes are designed by the exhaustive searching method. Finally, the three-dimensional model of the real component is reconstructed based on the reverse engineering techniques, such as section lines and sweeping. Using FEA software ABAQUS, the stress distribution and damage status of the joints under tensile load are obtained for optimal scheme selection. Findings With the scanned mating surfaces, the non-uniform gaps are digitally evaluated with accurate measurement and good visualization. By filling the hybrid shims in the assembly gaps, the joint structures possess similar load capacity but stronger initial stiffness compared to the custom-shimmed structures. Practical implications This method has been tested with the interface data of a wing tip, and the results have shown good efficiency and automation of the shimming process. Originality/value The proposed method can decrease the manufacturing cost of shims, shorten the shimming process cycle and improve the assembly efficiency.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:11:45Z
      DOI: 10.1108/AA-02-2017-021
  • Investigation of ball screw’s alignment error based on dynamic modeling
           and magnitude analysis of worktable sensed vibration signals
    • Pages: 483 - 489
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 483-489, September 2017.
      Purpose The alignment precision of existing methods is limited by the precision of detecting element and worker’s experience, which the parallelism between ball screw and guide way is not guaranteed effectively. Thus, this paper aims to propose a method of detecting ball screw’s alignment error (BSAE) via monitoring the average vibration magnitude induced by rotational frequency of ball screw (VMRFBS). Design/methodology/approach In this study, the ball screw is simplified as a freely supported beam. A mathematical model of the effect of BSAE on the contact angle of the ball and screw is established. The change of contact angle has effect on the deformation and contact stiffness according to the Hertz contact theory. To improve the accuracy of the experimental results, the VMRFBS are analyzed by using average method, and the average values of the VMRFBS at different BSAEs are calculated by using the least squares method. Findings The experimental results show that the average VMRFBS increases with the increasing of BSAE under the BSAE from 0 to 0.2 mm, while the other conditions are unchanged. Originality/value This method provides an approach to monitor the BSAE and improve the alignment accuracy of machine tools and automation equipment, which has a certain guide for improving the alignment accuracy of ball screw.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:12:05Z
      DOI: 10.1108/AA-08-2016-088
  • A novel LLSDPso method for nonlinear dynamic parameter identification
    • Pages: 490 - 498
      Abstract: Assembly Automation, Volume 37, Issue 4, Page 490-498, September 2017.
      Purpose This paper aims to propose a novel method to identify the parameters of robotic manipulators using the torque exerted by the robot joint motors (measured by current sensors). Design/methodology/approach Previous studies used additional sensors like force sensor and inertia measurement unit, or additional payload mounted on the end-effector to perform parameter identification. The settings of these previous works were complicated. They could only identify part of the parameters. This paper uses the torque exerted by each joint while performing Fourier periodic excited trajectories. It divides the parameters into a linear part and a non-linear part, and uses linear least square (LLS) parameter estimation and dual-swarm-based particle swarm optimization (DPso) to compute the linear and non-linear parts, respectively. Findings The settings are simpler and can identify the dynamic parameters, the viscous friction coefficients and the Coulomb friction coefficients of two joints at the same time. A SIASUN 7-Axis Flexible Robot is used to experimentally validate the proposal. Comparison between the predicted torque values and ground-truth values of the joints confirms the effectiveness of the method. Originality/value The proposed method identifies two joints at the same time with satisfying precision and high efficiency. The identification errors of joints do not accumulate.
      Citation: Assembly Automation
      PubDate: 2017-09-18T11:12:02Z
      DOI: 10.1108/AA-08-2016-106
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