The fit of planning methods for the part manufacturing industry, a case study

Springer Science and Business Media LLC - Tập 2 - Trang 165-172 - 2014
Philipp Spenhoff1, Marco Semini2, Erlend Alfnes1, Jan Ola Strandhagen1
1Department of Production and Quality Engineering, Norwegian University of Science and Technology, Trondheim, Norway
2Department of Industrial Management, SINTEF Technology and Society, Trondheim, Norway

Tóm tắt

This paper investigates the specific planning environment of an automotive part manufacturer and characterizes this environment based on variables regarding the product, its demand and the manufacturing process. The fit of different planning methods, namely material requirements planning, reorder point, cyclic planning, kanban, and heijunka to this specific planning environment is analyzed and evaluated by exploratory research. The results show that different product characteristics make it hard to apply a single planning method. None of the investigated methods show the ability to cover the complex requirements of a combined planning environment of two partly divergent product types with a deep value chain.

Tài liệu tham khảo

Newman WR, Sridharan V (1995) Linking manufacturing planning and control to the manufacturing environment. Integr Manuf Syst 6:36–42 Krajewski LJ, King BE, Ritzman LP et al (1987) Kanban, MRP, and shaping the manufacturing environment. Manag Sci 33:39–57 Jonsson P, Mattsson SA (2003) The implications of fit between planning environments and manufacturing planning and control methods. Int J Oper Prod Manag 23:872–900 Berry WL, Hill T (1992) Linking systems to strategy. Int J Oper Prod Manag 12:3–15 Olhager J, Rudberg M (2002) Linking manufacturing strategy decisions on process choice with manufacturing planning and control systems. Int J Prod Res 40:2335–2351 Olhager J, Wikner J (2000) Production planning and control tools. Prod Plan Control 11:210–222 Jonsson P, Mattsson SA (2002) The selection and application of material planning methods. Prod Plan Control 13:438–450 Wiendahl HP, Glaessner J, Petermann D (1992) Application of load-oriented manufacturing control in industry. Prod Plan Control 3:118–129 Wiendahl HP (1987) Load oriented production control. Hanser, Munich Riezebos J (1997) On the determination of the period length in a period batch control system. Proc Int Matador Conf, MacMillan Press Ltd. 1997:131–136 Raymond L (2005) Integrating kanban with MRPII. Productivity, Portland Porter K, Little D, Peck M, Rollins R (1999) Manufacturing classifications: relationships with production control systems. Integr Manuf Syst 10:189–199 Schonsleben P (2000) Varying concepts of planning and control in enterprise logistics. Prod Plan Control 11(1):2–6 Yin RK (2009) Case study research: design and methods. SAGE, London Eisenhardt KM (1989) Building theories from case study research. Acad Manag Rev 14(4):532–550 Giauque WC, Sawaya WJ (1992) Strategies for production control. Prod Invent Manag J 33(3):36–41 Jonsson P (2008) Logistics and supply chain management. McGraw-Hill, Maidenhead Hopp WJ, Spearman ML (2008) Factory physics, 3rd edn. Waveland, Chicago Slack N, Chambers S, Johnston R (2010) Operations management, 6th edn. Pearson Education, Harlow Groenevelt H, Johansen J, Lederer PJ (1996) Cyclic planning. University of Rochester, New York Fauske H, Alfnes E, Semini M (2008) Lean supply chain control in hydro automotive structures. In: APMS 2008 conference proceedings Bicheno J, Holweg M (2009) The lean toolbox: the essential guide to lean transformation. PICSIE, Buckingham Cohen MA, Agrawal N, Agrawal V (2006) Winning in the aftermarket. Harv Bus Rev 84(5):129–138 Vollmann TE, Berry WL, Whybark DC et al (2011) Manufacturing planning and control for supply chain management, 6th edn. McGrawHill/Irwin, New York Olhager J (2013) Evolution of operations planning and control: from production to supply chains. Int J Prod Res 51(23–24):6836–6843 Greasley A (2007) Operations management. SAGE Publications Limited, London Felberbauer T, Altendorfer K, Hubl A (2012) Using a scalable simulation model to evaluate the performance of production system segmentation in a combined MRP and kanban system. In: IEEE simulation conference (WSC), Proceedings of the 2012 Winter, pp 1–12 Benton W, Shin H (1998) Manufacturing planning and control: the evolution of MRP and JIT integration. Eur J Oper Res 110:411–440 Taal M, Wortmann JC (1997) Integrating MRP and finite capacity planning. Prod Plan Control 8:245–254 Tempelmeier H (2013) A multi-level inventory system with a make-to-order supplier. Int J Prod Res 51(23–24):6880–6890 Wang CH (2010) Some remarks on an optimal order quantity and reorder point when supply and demand are uncertain. Comput Ind Eng 58:809–813 Stevenson WJ (2008) Operations management, 10th edn. McGraw-Hill/Irwin, London Levner E, Kats V, Alcaide López de Pablo D et al (2010) Complexity of cyclic scheduling problems: a state-of-the-art survey. Comput Ind Eng 59:352–361 Powell D, Alfnes E, Semini M (2010) The application of lean production control methods within a process-type industry: the case of hydro automotive structures. Advances in production management systems, new challenges, new approaches. Springer, Berlin, Heidelberg, pp 243–250 Karmarkar US, Schrage L (1985) The deterministic dynamic product cycling problem. Oper Res 33:326–345 Spenhoff P, Alfnes E, Powell D et al (2012) The application of lean production control methods within a process-type industry: the case of Benteler aluminium systems Norway. In: the 14th international conference on modern information technology in the innovation processes of the industrial enterprises Chee SL, Chong MY, Chin JF (2012) Milk-run kanban system for raw printed circuit board withdrawal to surface-mounted equipment. J Ind Eng Manag 5:382–405 Bohnen F, Buhl M, Deuse J (2013) Systematic procedure for leveling of low volume and high mix production. CIRP J Manuf Sci Technol 6(1):53–58 Pool A, Wijngaard J, van der Zee DJ (2011) Lean planning in the semi-process industry, a case study. Int J Prod Econ 131:194–203 Coleman BJ, Vaghefi MR (1994) Heijunka: a key to the Toyota production system. Prod Invent Manag J 35:31–35 Alfnes E, Strandhagen JO (2000) Enterprise design for mass customisation: the control model methodology. Int J Logist 3(2):111–125