A multiple-logistic-objective-optimized manufacturing planning and control system

Abstract

A multiple-logistic-objective-optimized (MLOO) manufacturing planning and control approach is developed in an attempt to optimize the logistics objectives of a short throughput time, a low work in process, and high schedule reliability. The proposed approach also needs to effectively cope with disturbances including internal disturbances (equipment failure, rework, etc.) and external disturbances (variations in demand patterns, unsatisfied raw material delivery, etc.). This paper focuses on make-to-order manufacturing systems with routing flexibility. Simulation experiments are conducted using industrial data in order to compare the MLOO approach with several existing methods. The simulation results indicate that MLOO is able to optimize the target logistics objectives and effectively cope with disturbances.

Keywords

logistics objectives disturbances optimization manufacturing planning and control make to order simulation

References

Nyhuis

Wiendahl

H.-P

. Practical applications of logistic operating curves. Ann. CIRP, 2007, 56((1)), 483–486.

Chung

C. H

Chen

I. J

. A systematic assessment of the value of flexibility for an FMS. In Proceedings of the Third ORSA/TIMS Conference on Flexible manufacturing systems. 14–16 August 1989, Cambridge, Massachusetts(Elsevier (Amsterdam, The Netherlands, 27–34.

Gutenberg

. Die produktion, grundlagen der betriebswirtschaftslehre: band 1, 1973 (Springer-Verlag (Heidelberg, Germany).

Nyhuis

Vogel

. Adaptation of logistic operating curves to one-piece flow processes. J. Prod. Perform., 2006, 55((3/4)), 284–299.

Bechte

. Theory and practice of load oriented manufacturing control. Int. J. Prod. Res., 1988, 26. 375–395.

Bechte

. Load oriented manufacturing control just in time production for job shops. Prod. Plan. Control, 1994, 5. 292–307.

Spearman

M. L

Hopp

J. W

Woodruff

D. L

. A hierarchical control architecture for constant work-in-process production systems. J. Mfg Oper. Mgmt, 1989, 2. 147–171.

Spearman

M. L

Woodruff

D. L

Hopp

W. J

. CONWIP: a pull alternative to kanban. J. Prod. Res., 1990, 28. 879–894.

Bechte

. Steuerung der durchlaufzeit durch belastungsorientierte auftragsfreigabe bei werkstattfertigung, 1984, Fortschritt-Berichte VDI-Z, 2/70, VDI Verlag (Dusseldorf).

10.

Wiendahl

H.-P

. Load-oriented manufacturing control, 1995 (Springer (Berlin).

11.

Schneider

. cLogistische fertigungsbereichskennlinien, 2004, Fortschritt-Berichte VDI, 47, VDI Verlag (Dusseldorf).

12.

Nyhuis

Wiendahl

H.-P

. Fundamentals of production logistics – theory, tools and applications, 2008 (Springer (Berlin, Germany, 105–110.

13.

Lödding

. Dezentrale bestandsorientierte fertigungsregelung, 2001, Fortschritt-Berichte VDI 2/587, VDI Verlag (Dusseldorf).

14.

Duffie

N. A

Prabhu

V. V

Kaltjob

P. O

. Closed-loop real-time cooperative decision-making dynamics in heterarchical manufacturing systems. J. Mfg Syst., 2002, 21((5)), 409–418.

15.

Chryssolouris

Wright

Pierce

Cobb

. Manufacturing systems operation: dispatch rules versus intelligent control. Robot. Comput.-Integr. Mfg, 1988, 4((3/4)), 531–544.

16.

Boulet

Chhabra

Harhalakis

Minis

Proth

J. M

. Cell controllers: analysis and comparison of three major projects. Comput. Ind., 1991, 16. 239–254.

17.

Cho

Wysk

R. A

. Intelligent workstation controller for computer-integrated manufacturing: problems and models. J. Mfg Syst., 1995, 14((3)), 252–263.

18.

Dilts

D. M

Boyd

N. P

Whorms

H. H

. The evolution of control architectures for automated manufacturing systems. J. Mfg Syst., 1991, 10((1)), 79–93.

19.

Brussel

H. V

Wyns

Valckenaers

Bongaerts

. Reference architecture for holonic manufacturing systems: PROSA. Comput. Ind., 1998, 37. 255–274.

20.

Maturana

Shen

Norrie

D. H

. An adaptive agent-based architecture for intelligent manufacturing. J. Prod. Res., 1999, 37. 2159–2173.

21.

Ottaway

T. A

. An adaptive production control system utilizing agent technology. J. Prod. Res., 2000, 38. 721–737.

22.

Duffie

N. A

Prabhu

V. V

. Real-time distributed scheduling of heterarchical manufacturing systems. J. Mfg Syst., 1994, 13((2)), 94–107.

23.

Ramaswamy

S. E

Joshi

. Distributed control of automated manufacturing systems. In Proceedings of the 27th CIRP Seminar on Manufacturing systems. 21–23 May 1995, Ann Arbor, Michigan, 411–420.

24.

Bongaerts

Brussel

H. V

. Scheduling execution using perturbation analysis. In Proceedings of the IEEE International Conference on Robotics and automation. 16–20 May 1998, Leuven, Belgium(IEEE Press (Piscataway, New Jersey, 2747–2752.

25.

Duffie

N. A

Prabhu

V. V

. Heterarchical control of highly distributed manufacturing systems. Comput. Ind., 1996, 9. 270–281.

26.

Lödding

. Verfahren der fertigungssteuerung, 2008 (Springer-Verlag (Berlin, Germany, 328–338.

27.

Nyhuis

Wiendahl

H.-P

. Logistische kennlinien: grundlagen, werkzeuge und anwendungen, 2003 (Springer-Verlag (Berlin, Germany).

28.

Scholz-Reiter

Freitag

de Beer

Jagalski

. Modelling and analysis of autonomous shop floor control. The 38th CIRP International Seminar on Manufacturing systems. Florianopolis, Brazil, 2005.

29.

Scholz-Reiter

Görges

Philipp

. Autonomously controlled production systems – influence of autonomous control level on logistic performance. CIRP Ann. – Mfg Technol., 2009, 58((1)), 395–398.