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A Negotiation Scenario Using an Agent-Based Modelling Approach to Deal with Dynamic Scheduling

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Service Orientation in Holonic and Multi-Agent Manufacturing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 762))

Abstract

In order to ensure an overall efficient production performance, the industrial experiences and research activities have demonstrated the interest of hybrid control systems, which couple a predictive scheduling with a distributed reactive control. In this context, it is commonly accepted that using the multi-agent systems (MAS) paradigm enhances the reactivity to treat disturbances and improves the decision making process of a shop floor. Each agent can have different capabilities (evolution, learning etc.) and the whole system, based on the agent interaction, leads emerging behaviours to dynamically adapt the production schedule. This paper is aimed to develop and simulate a negotiation scenario to deal with disturbed manufacturing processes. The scenario was implemented on the basis of TRACILOGIS test-bed platform. The negotiation protocol consists in setting the best sequential priority based on some performance indicators. This protocol is compared with a purely reactive production mode.

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References

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Acknowledgements

The authors gratefully acknowledge the financial support of the CPER 2007–2013 Structuration du Pôle de Compétitivité Fibres Grand’Est (Competitiveness Fibre Cluster), through local (Conseil Général des Vosges), regional (Région Lorraine), national (DRRT and FNADT) and European (FEDER) funds used to implement the TRACILOGIS platform.

Author information

Authors and Affiliations

  1. Université de Lorraine, CRAN, UMR 7039, Campus Sciences, BP 70239, 54506, Vandœuvre-lès-Nancy cedex, France

    Tsegay Tesfay Mezgebe, Hind Bril El Haouzi, Guillaume Demesure, Rémi Pannequin & André Thomas

Authors
  1. Tsegay Tesfay Mezgebe
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  2. Hind Bril El Haouzi
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  3. Guillaume Demesure
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  4. Rémi Pannequin
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  5. André Thomas
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Corresponding author

Correspondence to Tsegay Tesfay Mezgebe .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, University of Valenciennes and Hainaut-Cambresis, Valenciennes, France

    Damien Trentesaux

  3. École Nationale Supérieure des Technologies et Industries du Bois, University of Lorraine, Épinal, France

    André Thomas

  4. Institut de Recherche en Communications et Cybernétique de Nantes, University of Nantes, Nantes, France

    Olivier Cardin

Appendix: Simulation Run on the Basis of TRACILOGIS Test-Bed Platform

Appendix: Simulation Run on the Basis of TRACILOGIS Test-Bed Platform

Negotiation production mode

Reactive production mode

Run no.

Resource utilization rate in %

Lateness [M unit time]

Makespan [M unit time]

Resource utilization rate [%]

Lateness [M unit time]

Makespan [M unit time]

M1

M2

M1

M2

1

57.638

9.041

18.034

4.213

52.8558

8.1424

25.378

4.936

2

58.292

8.919

20.563

4.153

52.7938

8.1256

25.413

4.932

3

54.409

7.872

25.137

4.453

53.2695

7.9293

26.183

4.972

4

56.482

8.8647

14.991

4.214

52.7212

8.0879

25.17

4.919

5

54.979

8.3198

18.767

4.453

52.1597

8.3806

23.965

4.858

6

57.179

8.6526

15.604

4.126

53.1261

8.1643

25.148

4.956

7

57.499

8.7195

15.984

4.765

52.0837

8.2883

24.216

4.857

8

55.149

8.3472

17.913

4.543

53.3881

8.1176

26.32

4.985

9

55.840

8.6255

21.859

4.654

53.0012

7.9846

25.174

4.948

10

54.207

8.028

22.995

4.358

53.0811

7.917

26.063

4.955

11

57.298

9.1398

19.411

4.398

52.9325

8.1433

25.068

4.944

12

57.456

8.9456

20.467

4.239

52.2755

8.5515

23.91

4.868

13

57.792

8.9819

15.446

4.543

52.195

7.9588

23.867

4.859

14

55.994

8.6523

21.682

4.675

52.7988

7.991

25.49

4.933

15

57.559

9.0872

20.071

4.267

52.9869

8.0779

25.383

4.953

16

55.845

8.9843

21.084

4.567

53.022

8.2144

25.165

4.947

17

57.466

9.1792

15.188

4.132

52.9281

7.8771

25.335

4.944

18

61.161

9.5158

16.537

4.657

52.3901

8.0342

24.304

4.879

19

60.747

9.0764

17.322

4.155

53.1266

7.8721

25.679

4.963

20

57.256

8.6505

15.533

4.458

52.6351

8.0341

24.901

4.912

21

56.655

9.0554

16.523

4.358

52.1935

8.4481

24.784

4.872

22

59.807

9.6894

17.085

4.307

53.3609

8.1554

26.494

4.987

23

56.425

8.557

19.225

4.752

54.1766

8.233

23.611

4.821

24

60.195

9.367

15.771

4.218

52.3789

8.5047

24.273

4.885

25

61.952

10.00

12.808

4.182

52.8363

8.107

25.109

4.931

26

60.385

9.142

12.654

4.219

53.4946

7.87

26.454

5.007

27

57.468

8.928

21.127

4.517

53.0372

7.8231

26.012

4.953

28

56.720

8.679

18.539

4.502

52.9587

8.0193

25.127

4.943

29

63.178

10.12

10.019

3.987

52.2012

8.3483

24.096

4.870

30

57.286

8.441

15.721

4.558

52.3998

8.08

24.379

4.889

31

56.055

8.149

18.875

4.762

53.0937

8.0205

25.896

4.959

32

60.848

9.435

15.101

4.204

53.6773

7.9681

26.478

5.022

33

56.047

9.095

21.409

4.571

52.9313

8.3785

25.48

4.944

34

58.812

9.111

16.331

4.368

52.9335

7.8164

25.638

4.941

35

55.530

8.400

21.212

4.559

53.3417

7.9585

26.564

4.984

36

56.186

8.387

23.44

4.69

52.991

7.9121

24.917

4.945

37

61.971

9.591

14.073

4.183

52.4133

8.1897

24.136

4.886

38

58.199

8.641

17.288

4.423

53.6607

7.8973

26.543

5.018

39

57.131

9.104

19.597

4.473

53.1413

7.6211

25.444

4.968

40

56.563

8.648

23.027

4.69

53.311

8.5276

25.603

4.979

41

58.364

8.944

18.927

4.398

53.0403

8.338

25.335

4.951

42

57.425

8.831

15.744

4.523

52.9237

8.0495

25.628

4.944

43

57.482

8.072

22.401

4.746

52.9941

7.888

25.488

4.943

44

64.297

9.900

11.281

4.073

53.1654

8.1327

25.78

4.965

45

54.768

8.299

22.378

4.74

53.1247

7.8174

25.989

4.964

46

57.778

8.828

20.311

4.482

52.6639

7.9374

25.199

4.914

47

62.478

9.6444

14.099

4.134

52.8076

8.0659

25.518

4.934

48

59.474

9.4307

18.039

4.47

52.8131

7.9705

25.3

4.928

49

55.102

8.466

18.669

4.717

52.0553

7.9994

24.664

4.853

50

60.780

9.306

14.527

4.331

52.2629

8.3151

24.559

4.873

Total

2895.6

445.8

900.789

221.16

2644.1543

404.2846

1262.63

246.593

Average

57.912

8.917

18.01578

4.4232

52.883086

8.085692

25.2526

4.93186

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Mezgebe, T.T., El Haouzi, H.B., Demesure, G., Pannequin, R., Thomas, A. (2018). A Negotiation Scenario Using an Agent-Based Modelling Approach to Deal with Dynamic Scheduling. In: Borangiu, T., Trentesaux, D., Thomas, A., Cardin, O. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-73751-5_29

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  • DOI: https://doi.org/10.1007/978-3-319-73751-5_29

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