Skip to main content

Process Engineering and Optimization

  • Chapter
  • First Online:
Operations, Logistics and Supply Chain Management

Part of the book series: Lecture Notes in Logistics ((LNLO))

  • 9214 Accesses

Abstract

Process planning plays a fundamental role within modern industrial facilities in that it is devoted to select the manufacturing processes and parameters and the sequences that are needed to convert a part from the initial to the final form. Evaluating the quality of a process plan from both a technological and an economic perspective becomes vital. Indeed, a valid process plan not only ensures the required quality of manufactured parts, but also reduces the production cost. The present chapter is aimed at presenting the essential concepts and the historical evolution of the process planning approaches, starting from a general point of view and then introducing the most important and recent real-world applications. In addition, it introduces the fundamental aspect regarding the interactions between process planning and production scheduling, pinpointing the strengths and weaknesses of the available proposed solutions. Doing so, it addresses students, researchers as well as practitioners.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Aanen E, Gaalman GJ, Nawijn WM (1989) Planning and scheduling in an FMS. Eng Costs Prod Econ 17(1–4):89–97

    Article  Google Scholar 

  • Adams J, Balas E, Zawack D (1988) The shifting bottleneck procedure for job shop scheduling. Manage Sci 34:391–401

    Article  MathSciNet  Google Scholar 

  • Babic B, Nesic N, Miljkovic Z (2008) A review of automated feature recognition with rule-based pattern recognition. Comput Ind 59(4):321–337

    Article  Google Scholar 

  • Baykasoğlu A, Özbakır L (2009) A grammatical optimization approach for integrated process planning and scheduling. J Intell Manuf 20(2):211–221

    Article  Google Scholar 

  • Blazewicz J, Domschke W, Pesch E (1996) The job shop scheduling problem: conventional and new solution techniques. Eur J Oper Res 93:1–33

    Article  Google Scholar 

  • Boer CR, Petitti M, Lombardi F, Simon JP (1990) A CAPP/CAM expert system for a high productivity, high flexibility CNC turning center. CIRP Ann Manuf Technol 39(1):481–487

    Article  Google Scholar 

  • Brucker P, Jurisch B, Sievers B (1994) A branch and bound algorithm for job-shop scheduling problem. Discret Appl Math 49:105–127

    Article  MathSciNet  Google Scholar 

  • Cai N, Wang L, Feng HY (2009) GA-based adaptive setup planning toward process planning and scheduling integration. Int J Prod Res 47(10):2745–2766

    Article  Google Scholar 

  • Chan F, Chung S, Chan L (2005) An adaptive genetic algorithm with dominated genes for distributed scheduling problems. Expert Syst Appl 29:364–371

    Article  Google Scholar 

  • Chang TC, Wysk RA (1985) An introduction to automated process planning systems. Prentice Hall, Englewood Cliffs, New Jersey

    Google Scholar 

  • Chryssolouris G (1992) Manufacturing systems: theory and practice. Springer, Heidelberg

    Book  Google Scholar 

  • Convay R, Maxwell W, Miller L (1967) Theory of scheduling. Addison-Wesley Publishing Company, Reading, Massachusetts, USA

    Google Scholar 

  • Fletcher CA, Ritchie J, Lim T, Sung R (2013) The development of an integrated haptic VR machining environment for the automatic generation of process plans. Comput Ind 64:1045–1060

    Article  Google Scholar 

  • Fountas NA, Stergiou CI, Vaxevanidis NM (2014) Programmable support functions to assist process planning for aeronautical parts manufacturing. In: Proceedings of the ASME 2014 12th biennial conference on engineering systems design and analysis ESDA2014, June 25–27, 2014, Copenhagen, Denmark

    Google Scholar 

  • Framinan JM, Ruiz R (2010) Architecture of manufacturing scheduling systems: literature review and an integrated proposal. Eur J Oper Res 205:237–246

    Article  MathSciNet  Google Scholar 

  • French S (1982) Sequencing and scheduling. Ellis Horwood Ltd, Chichester, UK

    MATH  Google Scholar 

  • Gaalman GJC, Slomp J, Suresh NC (1999) Towards an integration of process planning and production planning and control for flexible manufacturing systems. Int J Flex Manuf Syst 11:5–17

    Article  Google Scholar 

  • Garey E, Johnson D, Sethi R (1976) The complexity of flow shop and job shop scheduling. Math Oper Res 1:117–129

    Article  MathSciNet  Google Scholar 

  • Gindy N, Saad S, Yue Y (1999) Manufacturing responsiveness through integrated process planning and scheduling. Int J Prod Res 37(11):2399–2418

    Article  Google Scholar 

  • Haddadzade M, Razfar MR, Zarandi MHF (2016) Multipart setup planning through integration of process planning and scheduling. Proc Inst Mech Eng Part B J Eng Manuf 230(6):1097–1113

    Article  Google Scholar 

  • Huang SS, Zhang HC, Smith ML (1995) A progressive approach for the integration of process planning and scheduling. IIE Trans 27:456–464

    Article  Google Scholar 

  • Iwata K, Fukuda Y (1989) A new proposal of dynamic process planning in machine shop. In: Proceedings of CIRP international workshop on computer aided process planning, Hannover University, Germany, 21–22 September

    Google Scholar 

  • Jin L, Zhang C, Shao X, Tian G (2016) Mathematical modeling and a memetic algorithm for the integration of process planning and scheduling considering uncertain processing times. Proc Inst Mech Eng Part B J Eng Manuf 230:1272–1273

    Article  Google Scholar 

  • Jong W-R, Lai P-J, Chen Y-W, Ting Y-H (2015) Automatic process planning of mold components with integration of feature recognition and group technology. Int J Adv Manuf Technol 78:807–824

    Article  Google Scholar 

  • Koenig DT (1990) Computer-integrated manufacturing: theory and practice. Taylor and Francis, Boca Raton

    Google Scholar 

  • Larsen NE, Alting L (1990) Simulations engineering within process and production planning. In: Pacific conference on manufacturing, Australia, 17–21 December

    Google Scholar 

  • Li X, Gao L, Zhang C, Shao X (2010) A review on integrated process planning and scheduling. Int J Manuf Res 5(2):161–180

    Article  Google Scholar 

  • MacCarthy BL, Liu J (1993) Addressing the gap in scheduling research: a review of optimization and heuristic methods in production scheduling. Int J Prod Res 31(1):59–79

    Article  Google Scholar 

  • Manupati VK, Putnik GD, Tiwari MK, Ávila P, Cruz-Cunha MM (2016) Integration of process planning and scheduling using mobile-agent based approach in a networked manufacturing environment. Comput Ind Eng 94:63–73

    Article  Google Scholar 

  • Moon C, Kim J, Hur S (2002) Integrated process planning and scheduling with minimizing total tardiness in multi-plants supply chain. Comput Ind Eng 43:331–349

    Article  Google Scholar 

  • Mourtzis D, Vlachou E, Xanthopoulos N, Givehchi M, Wang L (2016) Cloud-based adaptive process planning considering availability and capabilities of machine tools. J Manuf Syst 39:1–8

    Article  Google Scholar 

  • Newman ST, Zhu Z, Dhokia V, Shokrani A (2015) Process planning for additive and subtractive manufacturing technologies. CIRP Ann Manuf Technol 64:467–470

    Article  Google Scholar 

  • Phanden RK, Jain A, Verma R (2011) Integration of process planning and scheduling: a state-of-the-art review. Int J Comput Integr Manuf 24(6):517–534

    Article  Google Scholar 

  • Rajkumar M, Asokan P, Page T, Arunachalam S (2010) A GRASP algorithm for the integration of process planning and scheduling in a flexible job-shop. Int J Manuf Res 5(2):230–251

    Article  Google Scholar 

  • Schutten JMJ (1998) Practical Job Shop Scheduling. Ann Oper Res 83:161–177

    Article  MathSciNet  Google Scholar 

  • Shah J, Sreevalsan P, Mathew A (1991) Survey of CAD/feature-based process planning and NC programming techniques. Comput Aided Eng J 8(1):25–33

    Article  Google Scholar 

  • Sugimura N, Shrestha R, Inoue J (2003) Integrated process planning and scheduling in holonic manufacturing systems—optimization based on shop time and machining cost. In: Proceedings of the 5th IEEE international symposium on assembly and task planning, 10–11 July, Besanqon, France, pp 36–41

    Google Scholar 

  • Tulkoff J (1987) Process planning: a historical review and future prospects. In: Proceedings of 19th CIRP international seminar on manufacturing systems, major theme: computer aided process planning, Pennsylvania State, USA

    Google Scholar 

  • Ueda K, Fuji N, Inoue R (2007) An emergent synthesis approach to simultaneous process planning and scheduling. Ann CIRP 56(1):463–466

    Article  Google Scholar 

  • Varela MLR, Araýjo AF, Putnik GD, Manupati VK, Anirudh KV (2016) Web-based decision system for effective process planning in network manufacturing environment. In: 11th Iberian conference on information systems and technologies (CISTI), 15–18 June 2016

    Google Scholar 

  • Wang L, Cai N, Feng HY, Ma J (2010) ASP: an adaptive setup planning approach for dynamic machine assignments. IEEE Trans Autom Sci Eng 7(1):2–14

    Article  Google Scholar 

  • Welband M (1983) A review of knowledge acquisition techniques for expert systems. British Telecommunications Research Laboratories Technical Report, Ipswich

    Google Scholar 

  • Wong TN, Leung CW, Mak KL, Fung RYK (2006) An agent-based negotiation approach to integrate process planning and scheduling. Int J Prod Res 44(7):1331–1351

    Article  Google Scholar 

  • Xu X, Wang L, Newman ST (2011) Computer-aided process planning—a critical review of recent development and future trends. Int J Comput Integr Manuf 24(1):1–31

    Article  Google Scholar 

  • Yu M, Zhang Y, Chen K, Zhang D (2015) Integration of process planning and scheduling using a hybrid GA/PSO algorithm. Int J Adv Manuf Technol 78:583–592

    Article  Google Scholar 

  • Yuen CF, Wong SY, Venuvinod PK (2003) Development of a generic computer-aided process planning support system. J Mater Process Technol 139(1–3 SPEC):394–401

    Google Scholar 

  • Yusof Y, Latif K (2014) Survey on computer-aided process planning. The Int J Adv Manuf Technol 75(1):77–89

    Article  Google Scholar 

  • Zhang C, Li P, Guan Z, Rao Y (2007) A tabu search algorithm with a new neighborhood structure for the job shop scheduling problem. Comput Oper Res 34:3229–3242

    Article  MathSciNet  Google Scholar 

  • Zhang HC, Merchant ME (1993) IPPM—a prototype to integrate process planning and job shop scheduling functions. CIRP Ann Manuf Technol 42(1):513–518

    Article  Google Scholar 

  • Zhang Z, Peng RTT, Tao L, Jia S (2016) A method for minimizing the energy consumption of machining system integration of process planning and scheduling. J Clean Prod 137:1647–1662

    Article  Google Scholar 

  • Zhao F, Zhu A, Ren Z, Yang Y (2006) Integration of process planning and production scheduling based on a hybrid PSO and SA algorithm. In: Proceedings of IEEE international conference on mechatronics and automation, 25–28 June, Luoyang, China

    Google Scholar 

  • Zijm WHM (1995) The integration of process planning and shop floor scheduling in small batch part manufacturing. Ann CIRP 44(1):429–432

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marcello Braglia .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Braglia, M., Frosolini, M., Gabbrielli, R., Marrazzini, L. (2019). Process Engineering and Optimization. In: Zijm, H., Klumpp, M., Regattieri, A., Heragu, S. (eds) Operations, Logistics and Supply Chain Management. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-92447-2_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-92447-2_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92446-5

  • Online ISBN: 978-3-319-92447-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics