Providing a mathematical model of production planning with the approach of agility: study in Iran Khodro Company
Subject Areas :mohsen khodabakhsh 1 , Ali Rajabzadeh Ghatary 2
1 - Tarbiat Modares University
2 - مدیریت فناوری اطلاعات، دانشكده مدیریت و اقتصاد، دانشگاه تربیت مدرس، تهران
Keywords: flexibility responsiveness agility competence speed,
Abstract :
Dynamic changes in today’s business environment organizations to adopt the new model have forced the agile manufacturing. Agile manufacturing contrast traditional model of mass production and focused on the production of highly customized products takes place when customers need them. Agility in manufacturing, especially in the automotive industry that is highly dynamic and changes as the need arises. On the one hand, agility is a comprehensive and multi-dimensional concept and on the other hand there is no mathematical model to measure it. So In this paper, an innovative approach was attempted according to four main functions of agility responsiveness, competence, flexibility and speed,, a mathematical model is ideal for the production of agile planning and comparing the results of the model is presented with the actual situation of Iran Khodro Company .This innovative approach to agility has become the ideal model and this study will help to the organization according to their facilities and use of mathematical models in order to achieve maximum agility in product production.
Asif Qumer Gill (2015) “Agile enterprise architecture modelling: Evaluating the applicability and integration of six modelling standards Information and Software Technology” Information and Software Technology, (67), 196-206#
Azar, A, Hamed A., (2011) developed a mathematical model of flexible manufacturing systems, industrial management perspective 75-65 ,4#(in persian)
Cannata, M. Gerosa, M. Taisch, Socrades:)2008( “a framework for developing in- telligent systems in manufacturing, in: IEEE International Conference on In- dustrial Engineering and Engineering Management,. IEEM IEEE
D. Noble, Forces of Production (2008) “A Social History of Industrial Automation, Transaction Publishers, New Brunswick, NJ”
D.E. Ighravwe, S.A. Ok(2014) “A non-zero integer non-linear programming model for maintenance workforce sizin “ Int. J. Production Economics (150) 204–214#
Ernesto D.R. Santibanez -Gonzaleza, Ali Diabatb(2015) “Modeling logistics service providers in a non-cooperative supply chain” Applied Mathematical Modelling, (40), 13–14, 6340-6358#
Giovanni Di Orio n , Gonçalo Cândido, José Barata(2015) “The Adapter module: A building block for Self-Learning Production Systems Robotics and Computer-Integrated Manufacturing (36,) , Pages 25-35#
Hallgren, M., & Olhager J. (2009). Flexibility configurations: Empirical analysis of volume and product mix flexibility, Omega, 37, 746-756#
Hillegersberg, J ; and et.al (2005) : Business agility requirements in financial services , Journal of Rotterdam school , F Management , Erasmus University Rotterdam
Jafarnejad, A. shahaei B. (1386), Introduction to organizational agility and agile manufacturing, the Institute book,Mehraban Nashr (in persian)
Lijun Wanga,Samuel A.Agyemangb, Hossein Aminib, Abolghasem Shahbazia(2015)”Mathematical modeling of production and biorefinery of energy crops” Renewable and Sustainable Energy Reviews, (43), 530-544#
Macaulay , J(1996): Management in the agile organization,APQC quality press, Milwaukee,W
Mashayekhi , Rajabzadeh , Razavia (2009) Applying path analysis method in defining effective factors inorganisation agility, International Journal of Production Research(46)6, 1765-1786#
Masoud, Soleymani, Shishvan; Javad , Sattarvand;(2015) “Long term production planning of open pit mines by ant colony optimization” European Journal of Operational Research, (240), 3, 1 825-836#
McGaughey, R (1999): Internet Technology: Contributing to Agility in the Twenty-first Century , international journal of agile manufacturing systems, PP 7-13#
Philippe De Bruecker ; , Jorne Van den Berghb; Jeroen Beliënb; Erik Demeulemeester; (2015) Workforce planning incorporating skills: State of the art European Journal of Operational Research, (243), 1, 16 1-16#
Sharifi H , Zhang Z (2000): Agility in practice : application of a methodology , special issue on “ next generation manufacturing “ Intl.Jour. of operation & H
Sharifi,H and zhang ,Z (2001) : Agile manufacturing in practice : Application of a methodology , International Journal of Operation & production management, Vol.21,No.5/6,pp.772-794#
Sherehiy,B.,Karwowski , W. and Layer, J.K. (2007) ,”A review of enterprise agility:Concepts, frameworks, and attributes”, International Journal of Industrial Ergonomics, Vol.37,pp.445-460#
Tadashi Yamadaa, , , Zukhruf Febri (2015) “Freight transport network design using particle swarm optimisation in supply chain–transport super work equilibrium” Transportation Research, Volume (75), 164-187#
Wolfgang ,Garn; , Jamesm, Aitken; (2015) “ Agile factorial production for a single manufacturing line with multiple products” European Journal of Operational Research, (245), 3, 16 754-766#
Yavuz Acar a,n , Sukran Nilvana Atadeniz (2015) “Comparison of integrated and local planning approaches for the supply network of a globally-dispersed enterprise” international Journal of Production Economics, 167, 204-219#
Yokabed, Beikkhakhian; Mohammad, Javanmardi Mahdi Karbasian, Bijan, Khayambashi (2015); “The application of ISM model in evaluating agile suppliers selection criteria and ranking suppliers using fuzzy TOPSIS-AHP” Expert Systems with Applications, (42), 15–16, 6224-6236#