Skip to main content

Advanced Production Planning and Scheduling Systems

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

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

  • 9303 Accesses

Abstract

In this chapter, we present algorithms for a number of functions of the production planning framework presented in Chap. 5. We focus on models for integrated Capacity and Master Production Planning, Job Planning and Resource Group Loading, and Shop Floor Scheduling and Control. At the Master Production Planning level, we exploit a simple Linear Programming formulation to set appropriate capacity levels and in particular to decide whether a temporary expansion of capacity is needed (e.g., through overtime work). With the same formulation, we decide what end-items are to be produced in which period. By applying the lead time offset procedure that is the heart of Materials Requirements Planning, and using the Bill of Materials information, the same is done on the level of part manufacturing (basic level). Essential in the above procedure are two parameters, the effective overall capacity of each manufacturing shop and the final assembly department, often indicated as the maximum throughput, and the lead times needed to complete a part or product in each department. A significant portion of these lead times may in fact be waiting times in front of individual workstations that are busy. To minimize these waiting times, workload control norms are often used which in turn may influence the effective capacity. An essential question then is what these workloads should be in order to match a desired throughput and production lead time. That question is answered by exploiting a Closed Queueing Network approach that explicitly determines the relation between a preset work-in-process level, throughput and the resulting lead times (advanced level). Finally, we exploit a detailed shop floor scheduling procedure, called the Shifting Bottleneck approach, that basically serves to ascertain that internal due-dates, following from the above defined internal manufacturing lead times are indeed met (state-of-the-art).

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

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

    Article  MathSciNet  Google Scholar 

  • Bitran GR, Haas EA, Hax AC (1982) Hierarchical production planning: a two stage system. Oper Res 30:232–251

    Article  Google Scholar 

  • Brucker P, Jurisch B, Sievers B (1994) A branch and bound algorithm for the job-shop scheduling problem. Discrete Appl Math 49:107–127

    Article  MathSciNet  Google Scholar 

  • Buitenhek R, van Houtum GJ, Zijm WHM (2000) AMVA based solution procedures for open queueing networks with a population constraint. Ann Oper Res 93:15–40

    Article  MathSciNet  Google Scholar 

  • Buzacott JA, Shanthikumar JG (1993) Stochastic models of manufacturing systems. Prentice-Hall, Englewood Cliffs, NJ

    Google Scholar 

  • Carlier J (1982) The one-machine sequencing problem. Eur J Oper Res 11:42–47

    Article  MathSciNet  Google Scholar 

  • Chen H, Yao DD (2001) Fundamentals of queueing networks—performance, asymptotics and optimization. Springer, New York

    Book  Google Scholar 

  • Dallery Y (1990) Approximate analysis of general open queueing networks with restricted capacity. Perform Eval 11:209–222

    Article  Google Scholar 

  • Di Mascolo M, Frein Y, Dallery Y (1996) An analytical method for performance evaluation of Kanban-controlled production systems. Oper Res 44(1):50–64

    Article  Google Scholar 

  • Hax AC, Candea D (1984) Production and inventory management. Prentice-Hall, Englewood Cliffs, NJ

    Google Scholar 

  • Hax AC, Meal HC (1975) Hierarchical integration of production planning and scheduling. In: Geisler MA (ed) Logistics. Studies in the management sciences, vol 1. Elsevier, North-Holland

    Google Scholar 

  • Hopp WJ, Spearman ML (2008) Factory physics: foundations of manufacturing management. Richard D. Irwin, Homewood, IL

    Google Scholar 

  • Ivens P, Lambrecht M (1996) Extending the shifting bottleneck procedure to real-life applications. Eur J Oper Res 90:252–268

    Article  Google Scholar 

  • Pinedo M, Chao X (1996) Operations scheduling with applications to manufacturing and services. Irwin/McGraw-Hill, Boston

    MATH  Google Scholar 

  • Reiser M, Lavenberg SS (1980) Mean-value analysis of closed multichain queueing networks. J Assoc Comput Mach 27:313—322

    Google Scholar 

  • Silver EA, Pyke DF, Thomas DJ (2017) Inventory and production management in supply chains. CRC Press (Taylor and Francis), Boca Raton

    Google Scholar 

  • Schutten JMJ (1998) Practical job shop scheduling. Ann Oper Res 83:161–177

    Article  MathSciNet  Google Scholar 

  • Schutten JMJ, Leussink RAM (1996) Parallel machine scheduling with release dates, due dates and family setup times. Int J Prod Econ 46–47:119–125

    Article  Google Scholar 

  • Schutten JMJ, van de Velde SL, Zijm WHM (1996) Single-machine scheduling with release dates, due dates and family setup times. Manag Sci 42(8):1165–1174

    Article  Google Scholar 

  • Slomp J (1993) Production control for flexible manufacturing system—an application-oriented approach. PhD thesis, University of Twente

    Google Scholar 

  • Zijm WHM, Buitenhek R (1996) Capacity planning and lead time management. Int J Prod Econ 46–47:165–179

    Article  Google Scholar 

  • Zijm WHM (2000) Towards intelligent manufacturing planning and control systems. OR Spectr 22:313–345

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Henk Zijm .

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

Zijm, H., Schutten, M. (2019). Advanced Production Planning and Scheduling Systems. 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_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-92447-2_19

  • 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