Comparing methods for redesigning, measuring and analysing Production systems

This paper reviews 10 methods or models that are developed to redesign, measuring or analysing a production system. Furthermore, a comparison is done between the methods and models based on four focus areas with the aim of putting the developed DYNAMO++ and concept model into perspective due to the other methods and models. A literature study is used in order to review the methods and the focus areas. The result shows that the DYNAMO++ and the Concept model could be a golden way between the most sociocognitive models and the technical-physical models when measuring and analysing a production system. The model also takes into consideration both physical and cognitive Levels of Automation in a more delicate scale than the other methods and models which makes the task allocation more precise.

[1]  Kjeld Schmidt,et al.  Taxonomy for Cognitive Work Analysis , 1990 .

[2]  Kristina Säfsten,et al.  Vad är bra monteringssystem? : En studie av utvärdering och utformning på 15 industriföretag i Sverige , 2000 .

[3]  Amanda Spink,et al.  Information Behavior: A Socio-Cognitive Ability , 2007 .

[4]  Waldemar Karwowski,et al.  Design of work and development of personnel in advanced manufacturing , 1994 .

[5]  David D. Woods,et al.  Cognitive Technologies: The Design of Joint Human-Machine Cognitive Systems , 1986, AI Mag..

[6]  Edwin M. Bartee,et al.  Organizational Development: Theory, Practice, and Research , 1979 .

[7]  Mike Sharples,et al.  Socio-cognitive engineering: A methodology for the design of human-centred technology , 2002, European Journal of Operational Research.

[8]  Peter Nyhuis,et al.  Changeable Manufacturing - Classification, Design and Operation , 2007 .

[9]  Erik Hollnagel,et al.  Joint Cognitive Systems: Foundations of Cognitive Systems Engineering , 2005 .

[10]  F. Emery,et al.  The Next Thirty Years: Concepts, Methods and Anticipations , 1997 .

[11]  Mica Comstock.  Production systems for mass customization : bridging theory and practice , 2004 .

[12]  Johan Stahre,et al.  Levels of automation in manufacturing , 2008 .

[13]  Sidney W. A. Dekker,et al.  MABA-MABA or Abracadabra? Progress on Human–Automation Co-ordination , 2002, Cognition, Technology & Work.

[14]  Peter Almström,et al.  Productivity Potential Assessment of the Swedish Manufacturing Industry , 2007 .

[15]  Elliott Jaques,et al.  Measurement of Responsibility: A Study of Work, Payment and Individual Capacity. , 1957 .

[16]  Johan Stahre,et al.  Concept model towards optimising Levels of Automation (LoA) in assembly systems , 2010 .

[17]  Jens Rasmussen,et al.  Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[18]  Jan-Eric Ståhl,et al.  Implementation of an Economic Model to Simulate Manufacturing Costs , 2008 .

[19]  Erik Hollnagel.  HRA — The First Generation , 1998 .

[20]  Peter Almström,et al.  Productivity Potential Assessment of 30 Suppliers to the Automotive Industry , 2009 .

[21]  Jens Rasmussen,et al.  The role of hierarchical knowledge representation in decisionmaking and system management , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[22]  F. Emery.  The Next Thirty Years: Concepts, Methods and Anticipations , 1967 .

[23]  Erik Hollnagel,et al.  Cognitive Systems Engineering: New wine in new bottles , 1999, Int. J. Hum. Comput. Stud..

[24]  Johan Stahre,et al.  Does Levels of Automation need to be changed in an assembly system? - A case study , 2008 .

[25]  Kristina Säfsten,et al.  Produktionsutveckling - utveckling och drift av produktionssystem , 2005 .

[26]  Adam Abruzzi.  Problems of Inference in the Socio-Physical Sciences , 1954 .

[27]  Mica Comstock,et al.  Beyond 'Read a plant - fast' (for lean): read an enterprise for mass customization? , 2003, MCPC.

[28]  N. Jordan.  Allocation of functions between man and machines in automated systems. , 1963 .

[29]  Christopher D. Wickens,et al.  A model for types and levels of human interaction with automation , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[30]  Engelbert Westkämper,et al.  Digital Manufacturing In The Global Era , 2007 .

[31]  E. Trist,et al.  Some Social and Psychological Consequences of the Longwall Method of Coal-Getting , 1951 .

[32]  Erik Hollnagel,et al.  Reliability analysis and operator modelling , 1996 .

[33]  Michael Beetz,et al.  Cognitive Technical Systems - What Is the Role of Artificial Intelligence? , 2007, KI.

[34]  Gudela Grote,et al.  Uncertainty management at the core of system design , 2003, Annu. Rev. Control..

[35]  Mikko Koho,et al.  Production System Assessment and Improvement: A Tool for Make-to-Order and Assemble-to-Order Companies , 2010 .

[36]  E. Trist.  The Evolution of Socio-Technical Systems: A Conceptual Framework and an Action Research Program , 1981 .

[37]  Gudela Grote,et al.  Complementary interaction of humans and machines in highly automated production systems - KOMPASS and TEAM. , 1997 .

[38]  Johan Stahre,et al.  Evaluating human/machine interaction problems in advanced manufacturing , 1995 .

[39]  Johan Stahre,et al.  Measuring and analysing Levels of Automation in an assembly system , 2008 .

[40]  R. Eugene Goodson,et al.  Read a plant-fast , 2002 .

[41]  Jessica Bruch,et al.  Designing proactive assembly systems – Criteria and interaction between automation, information, and competence , 2009 .

[42]  Peter J. Robertson,et al.  Organizational development: Theory, practice, and research. , 1992 .