Industrial Management Studies

Abstract Trend    impact   analysis   (TIA)   gives   a   pattern   to use   the chronological,     quantitative    data   and   qualitative    techniques, simultaneously.     Although    both   quantitative    and    qualitative techniques  of  forecasting  have  disadvantages,   TIA  gives  a way to optimize  the  results  of quantitative   methods  by applying  the qualitative  methods  on them. This technique could be applied in all files of forecasting with complex to forecast variables such as Demand, Supply,   Price   and   so on.  Energy   field   meets   the requirements   of applying this technique, because there is a long term history of behavior of variables in it that could be used in quantitative forecasting techniques like Trend lines or   time series, and also due to its importance in today economy, there are so many analysts   and experts   who are trying to forecast   and foresight    in   oil   field.   So   TIA   as   a   proper   technique    for forecasting   the oil price is described and applied   here.  The results  of this forecasting  which  was included  oil price  in period of  2007  up  to  2008,  has  been  registered   before   in 2006  as  a scientific    paper,   and   now   after   about    18  months,   we   are comparing    the   results   of   the   forecasting    and   actual    data. Validation  of the technique  is the aim, which  we got to it in this paper.

Abstract Agile manufacturing as the most modern production system has covered significant portion of literature in operations management. But there is a great vague. whether agile manufacturing  is the same as  prior  concepts  but    in a  new  form  or  it's  a  completely  new concept accompanied  with necessary techniques? Lean production and  Agile  production  are  two  dominant  production  systems  that were studied through   literature survey and their dimensions  were defined. Then dimensions similarities and differences among these two   approaches    were   investigated. Finally considering the importance of different dimensions, weighted difference between them is demonstrated.  Results show that although there are some common features between these two concepts, their emphasis on different aspects has formed a new approach. The proper attention of agile system to nowadays business requirements and continuous change, has distinguished   it from other production systems such as lean production system.

Abstract The policy of changing direct subsidiary to indirect subsidiary was one of the main government policies and the government according to forth development program should organize  the  subsidiary   system  in  cultural  parts  with  the approach of  changing  subsidiary  payments  for production  to consumption. During recent years the subsidiary of paper distribution for newspapers (as the most important output of cultural and political production) always have been indirectly and via subsidiary for press and this has caused numerous problems for paper industry. This survey is the analysis of economic and commercial policies of government in industry of paper for newspapers. Effective elements in the domestic industry of papers for newspapers have been sorted by using questionnaire and interview and by PESTI model. In this article supportive policies of government is recognized as the main effect on paper industry and discussed completely and finally, some proper solutions are offered.

Abstract This   research   paper   presents   a   methodology   to   assist enterprise decision-makers CDMs) to select from a numbers of processes during the Business Process Reengineering (BPR) according to organizational objectives. For  this  purpose,  the proposed methodology utilizes fuzzy QFD technique to convert the qualitative data (DMs' opinion) to quantitative ones and then calculates  the  effects  of  each  process  on  the  organization objectives and criteria. Then, by using the result of fuzzy QFD, the amount of satisfaction of each process according to each criterion    is  calculated.    By  combining    this   data   with   other effective  variables  in BPR  projects  such  as "cost"  and "time",  a multi-objective   goal programming  (MOOP)  model  is formulated and solved  to identify  the most appropriate  business  processes. Finally,    an   example    is   presented    to   illustrate    how   the methodology   works.  The  proposed  model  was also applied  to  a public-service  organization  by considering  three main objectives: project   quality,  project   cost,  and  project   time.  The   achieved results were quite satisfactory and promising.

Abstract In this research, canonical correlation  analysis  has  been done between    agility,    competitive     advantage    and    organizational performance   at  manufacturing   organizations.   For reduction  of variables,  factor analysis  was used. For achieving  this purpose, at first.  latent  variables  include  agility,  competitive   advantage,  and organizational  performance  was tested with using factor analysis. In  our   research   model.   agility   latent   variables   are   included enriching  customer,  mastering  change  and uncertainty.  cooperate to enhance  competitiveness,   and leveraging  impact of people and information.  Competitive   advantage  is included  time  to market. price/cost.     quality,    product    innovation,     and    reliability    of delivery.   Organizational    performance   also   is  included   market performance   and  financial   performance.   Each  of  them  (latent variables)   are  measuring   with  own  indicators.   Then  canonical correlation  analysis  was used to relationship  between  agility with competitive   advantage  and  organizational   performance.   Results reveals  a  statistically   significant   relationships   between   agility variables     with     strategic     performance      of     manufacturing organizations.  SAS   version   9.1  and  Lisrel   version   8.54  are  used for computation.