A framework for ICT-enabled real-time production planning and control

doi:10.1007/s40436-014-0070-5

摘要/Abstract

摘要： This paper aims to develop a conceptual framework for real-time production planning and control (PPC).Firstly, we discuss the most prominently applied contemporary information and communication technologies for PPC. Enterprise resource planning (ERP) systems that integrate the value chain in an enterprise, manufacturing execution systems that manage and control the production on shopfloor, and advanced planning and scheduling (APS) systems that develop solutions for complex planning problems are the planning and control systems that have been analyzed. We emphasize the application of radio frequency identification as the most advanced and promising emerging real-time data capture technology that is currently available to manufacturers. Having analyzed the features and shortcomings of the individual systems perse, and by considering the advantages that may be realized through effective integration
of these otherwise discrete systems, we propose a framework for real-time PPC.

关键词: Enterprise resource planning (ERP) , Manufacturing execution systems (MES) , Advanced planning and scheduling (APS) , , Radio frequency identification (RFID) , Production planning and control
(PPC)

Abstract: This paper aims to develop a conceptual framework for real-time production planning and control (PPC).Firstly, we discuss the most prominently applied contemporary information and communication technologies for PPC. Enterprise resource planning (ERP) systems that integrate the value chain in an enterprise, manufacturing execution systems that manage and control the production on shopfloor, and advanced planning and scheduling (APS) systems that develop solutions for complex planning problems are the planning and control systems that have been analyzed. We emphasize the application of radio frequency identification as the most advanced and promising emerging real-time data capture technology that is currently available to manufacturers. Having analyzed the features and shortcomings of the individual systems perse, and by considering the advantages that may be realized through effective integration
of these otherwise discrete systems, we propose a framework for real-time PPC.

Key words: Enterprise resource planning (ERP) , Manufacturing execution systems (MES) , Advanced planning and scheduling (APS) , Radio frequency identification (RFID) , Production planning and control

Emrah Arica ? Daryl J. Powell. A framework for ICT-enabled real-time production planning and control[J]. Advances in Manufacturing, 2014, 2(2): 158-164.

参考文献

1. Stevenson M, Hendry L, Kingsman B (2005) A review of production planning and control: the applicability of key concepts to the make-to-order industry. Int J Prod Res 43:869–898

2. Møller C (2005) ERP II: a conceptual framework for next-generation enterprise systems? J Enterp Inf Manag 18:483–497

3. Nah FFH (2002) Enterprise resource planning solutions and management. IGI Global

4. Chen K, Ji P (2007) A mixed integer programming model for advanced planning and scheduling (APS). Eur J Oper Res 181:515–522

5. Jacobs FR, Berry WL, Whybark DC et al (2011) Manufacturing planning and control for supply chain management. APICS/CPM Certification Edition, USA

6. Kreipl S, Pinedo M (2004) Planning and scheduling in supply chains: an overview of issues in practice. Prod Op Manag 13(1):77–92

7. Steger-Jensen K, Hvolby HH, Nielsen P et al (2011) Advanced planning and scheduling technology. Prod Plan Control 22:800–808

8. Kjellsdotter L, Jonsson P (2008) Prerequisites for using APS in S&OP and MPS processes. In: Proceedings of the EurOMA conference 2008

9. Kletti J (2007) Manufacturing execution systems (MES).Springer, Berlin

10. Kilpatrick J (1999) Advanced planning systems spark the supply chain. Apics Perform Adv 9:24–29

11. Jonsson P, Kjellsdotter L (2007) Applying advanced planning systems for supply chain planning: three case studies. Int J Phys Distrib Logist Manag 37:816–834

12. Fleischmann B, Meyr H (2003) Planning hierarchy, modeling and advanced planning systems. Handb Op Res Manag Sci 11:455–523

13. Stadtler H, Kilger C (2008) Supply chain management and advanced planning: concepts, models, software, and case studies. Springer, Berlin

14. Turbide D (1998) Advanced planning and scheduling (APS) systems. Midrange ERP Mag 1

15. Jonsson P, Mattsson S-A (2008) Inventory management practices and their implications on perceived planning performance. Int J Prod Res 46:1787–1812

16. Ivert LK (2012) Use of advanced planning and scheduling (APS) systems to support manufacturing planning and control processes. Dissertation, Chalmers University of Technology

17. De Ugarte BS, Artiba A, Pellerin R (2009) Manufacturing execution system—a literature review. Prod Plan Control 20:525–539

18. MESA (1997) MRP to MES data flow possibilities. MESA Interna

19. Xu H, Nord JH, Brown N, Nord GD (2002) Data quality issues in implementing an ERP. Ind Manag Data Syst 102:47–58

20. Mabert VA, Soni A, Venkataramanan M (2003) Enterprise resource planning: managing the implementation process. Eur J Oper Res 146:302–314

21. Jonsson P, Mattsson S-A (2006) A longitudinal study of material planning applications in manufacturing companies. Int J Op Prod Manag 26:971–995

22. Campos JG, Miguez LR (2011) Standard process monitoring and traceability programming in collaborative CAD/CAM/CNC manufacturing scenarios. Comput Ind 62:311–322

23. Cachon GP, Fisher M (2000) Supply chain inventory management and the value of shared information. Manag Sci 46:1032–1048

24. Heinrich CE (2005) RFID and beyond. Wiley, Indianapolis

25. Xiao Y, Yu S, Wu K, Ni Q, Janecek C, Nordstad J (2007) Radio frequency identification: technologies, applications, and research issues. Wirel Commun Mob Comput 7:457–472

26. Veronneau S, Roy J (2009) RFID benefits, costs, and possibilities:the economical analysis of RFID deployment in a cruise corporation global service supply chain. Int J Prod Econ

122:692–702

27. Lee YM, Cheng F, Leung YT (2009) A quantitative view on how RFID can improve inventory management in a supply chain. Int J Logist 12:23–43

28. Gunasekaran A, Patel C, McGaughey RE (2004) A framework for supply chain performance measurement. Int J Prod Econ 87:333–347

29. Slack N, Chambers S, Johnston R (2007) Operations management, 5th edn. FT Prentice Hall, Harlow

30. Huang G, Wright P, Newman ST (2009) Wireless manufacturing:a literature review, recent developments, and case studies. Int J Comput Integr Manuf 22:579–594

31. Huang GQ, Zhang Y, Chen X, Newman ST (2008) RFID-enabled real-time wireless manufacturing for adaptive assembly planning and control. J Intell Manuf 19:701–713

32. Meyer GG, Fra¨mling K, Holmstro¨m J (2009) Intelligent products:a survey. Comput Ind 60:137–148

33. Brusey J, McFarlane DC (2009) Effective RFID-based object tracking for manufacturing. Int J Comput Integr Manuf 22:638–647

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