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                 may find him or herself and to the responsibilities vested in the person. Depending  on the kind of event
                 that  occurs -  expected  (prediction),  anticipated  (contingency),  or unexpected  (threats to the  capital  as-
                 sets,  adaptiveness)  -  the  person  will  perform  prescribed  operations  or  engage  in  reflective  activities
                 with  the  purpose  to bring  the  operations  or  situation  in  line  with  objectives.  In the  most  general  case,
                 the  input  can  be  of any  kind,  ranging  from  a routine-production  order,  over  a new  guideline  on  toxic
                 materials, to the occurrence of a disaster or attack.
                 ADVANCE FACTORY GOVERNANC
                          D
                                                 E
                 Figure  1 shows  how  the  sub-hierarchies  of  objectives,  decision  variables  and  performance  indicators
                 (for  ROI, Part A) are linked to the  EGAM  for  factory  operations (Part B). A similar action must be per-
                 formed  for  all relevant  hierarchies  of decision  objects.  As also the  factory  itself  will  have  a  structure,
                 for each organizational  element  some of the decision objects (its scope, a projection  of the overall hier-
                 archy) will matter, and all reflective  activities must be assumed. The new demands on factories will re-
                 quire us  to do additional  objective  breakdown  for  non-financial  (i.e., natural,  artifactual,  social  capital
                 assets).  As  eco-system  objectives  may be  subject  to  change, the  question  is how  to  ensure  continuous
                 alignment.

                 For  each kind  of capital asset, the  question is how the reflective  activities are best  allocated. The more
                 mobile a capital asset is, e.g. financial  capital, or the larger share in the time or impact on assets the op-
                 erations have,  e.g. manufacturing  activities  in JIT production  facilities,  the more need  there  is for  con-
                 trol  of the operations themselves.  In the case of emergencies  on the  other hand, there  is need  for  auton-
                 omy and  immediate and effective  reflection  and response.


                 CONCLUSIONS
                 Advanced  factory  governance  systems require a mix  of controls and autonomy to continuously  achieve
                 objectives  for  all  allocated  assets. Basic  ideas  from  Socio-Technical  Systems  Design -  predominantly
                 autonomy  and self-regulation  -  might be combined with characteristics of capital  assets,  in order to ar-
                 rive at a better balance between the amount  of control that  is executed by the factory  system, and the a-
                 mount  of  self-control  that  is  left  to the teams  of human  agents. A (cell)  situation-specific  mix  of gov-
                 ernance, management  and operational powers with respect to all relevant kinds of assets is expressed in
                 a profile.  In relation to natural, human,  and  social  capitals more autonomy  is likely.  For instance, the  a-
                 mount  of  environmental  protection  could  be  left  to the  discretion  of the human  stakeholders.  But  also
                 aspects of safety  and security are open to certain human autonomy over the system. Factory governance
                 systems  should leave maximum degrees of freedom  for the way (order, pace and method) humans exe-
                 cute their work. What is actually  left  to the discretion  of the human beings will  influence  positively the
                 motivations  and  subsequent  responsible  performances  of  these  agents  in  an  intelligent  manufacturing
                 system.  In a total  asset  context, where  operations  are challenged by  frequent  adjustment  of  objectives,
                 or by the occurrence  of rare unwanted  events, Socio-Technical  System Design  offers  instruments to de-
                 termine  and maintain a proper balance between  self-regulation  by human agents and  automatic  control
                 by the factory-governance  system.


                 REFERENCES
                 Bovenkamp  M. van de, Jongkind  R.,  Rhijn  G. van, Eijnatten  F. van,  Grote  G., Lehtela  J., Leskinen  T.,
                   Little  S., Vink P., and Wafler  T. (2002). The E/ S tool: IT Support for Ergonomic  and Sociotechnical
                   System  Design.  In:  Yamada  S.  (Ed.), Humacs  Project:  Organizational Aspects  of  Human-Machine
                   Co-existing Systems (pp. 67-81). Tokyo, Japan: IMS/HUMACS  Consortium, CD-Rom, March.
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