Manufacturing and Robotics

(1)

Theodor

Borangiu

•

Damien Trentesaux

Andre Thomas

Editors

Service

Orientation

in

Holonic

and

Multi-Agent

Manufacturing

and Robotics

(2)

Contents

Part I: Distributed

Intelligence

for Sustainable

Manufacturing

Are

Intelligent Manufacturing Systems

Sustainable? 3 Andre

Thomas,

Damien Trentesaux

1 Introduction 3

2 Towardsa

Ubiquitous

Worldand

Intelligent Manufacturing

4

3 Sustainable

Development

and Related

Concepts

5 4

Challenges

forIMSinaSustainable World 8

5 HowCan IMS

Help

Improve

Sustainability

in

Manufacturing?

11 6 Effective,

Energy-Aware

Control ofaFMS 12

7

Energy Optimization

in

Complex Building

12

8 Conclusion 13

Acknowledgments

13

References 13

DistributedFeedback Control for

Production,

Inventory,

and

C02

Emissionsin anAssemble-To-Order

System

15

Seokgi

Lee, Vittaldas Prabhu

1 Introduction 15

2 ProblemDefinition 16

3

Dynamic

Models 17

3.1 Production Controller 18 3.2 Machine

Capacity

Control 19

3.3

Inventory

Control 20

3.4

Capacity

of

Component

Productionand

Assembly

Systems

21

4

Computational Experiments

22

5 Conclusion 28

(3)

XIV Contents Holonic Condition

Monitoring

and

Fault-Recovery System

for Sustainable

Manufacturing

Enterprises

31 Sobhi

Mejjaouli,

Radu F. Babiceanu

1 Introduction 31 2 Literature Review 32 3 Holonic

System

Model without Condition

Monitoring

34 4 Embedded Condition

Monitoring

Holonic

System

Model 37

4.1 ArchitectureoftheCondition

Monitoring

Holonic

System

37

4.2 Detailed

Functionality

of the Condition

Monitoring

Holon 38

4.3 FMEA Holonic Module 39 5 Simulation

Study

42 6 Conclusionsand Future Research Directions 44

References 45

Resource,

Service and Product: Real-Time

Monitoring

Solution for

Service Oriented Holonic

Manufacturing Systems

47 Octavian Morariu, Cristina Morariu, Theodor

Borangiu

1 Introduction 47 2

Monitoring

Solution for Holonic

Manufacturing

Systems

50 2.1 Data Collection

Agents Design

50 2.2 Data

Storage Strategy

54 3

Agent

Interaction and

Scalability

55 4

Implementation

Detailsand

Experimental

Results 57

5 Conclusions 61

References 62

The Role ofDistributed

Intelligence

inWarehouse

Management Systems

63

Wenrong

Lu,

Vaggelis

Giannikas,Duncan

McFarlane,

James

Hyde

1 Introduction 63 2 CurrentIssuesin Warehouse

Management

64

2.1 Business Trends and Associated

Requirements

for

Warehouse

Management

64 2.2 Limitation and

Challenges

of Current Warehouse

Management Systems

64

3 Distributed

Intelligence

for

Manufacturing

Control: A Review 66 4 ADistributed

Intelligence Approach

to

Warehousing

67

4.1 Overview 67

(4)

Contents XV

5 A Vision for DI in Warehouse

Management: Example

of Order

Picking

Scheduling

70

5.1 Problem

Description

70 5.2 Conventional VS DI Enabled

Rescheduling Approach

72

6 Conclusion 74

References 76

PartII: Holonic and

Multi-Agent Technologies

for

Manufacturing

Planning

and Control

An Extended ContractNet Protocol with Direct

Negotiation

of

Managers

81

DoruPanescu, Carlos Pascal

1 Introduction 81

2 The Extended CNP with Direct

Negotiation

of

Managers

82 3 The Model Used for theCoordination Protocol

Analysis

87 4 TheCoordinationProtocol

Analysis

88 5 On the

Proposed

CoordinationProtocol

Optimality

90

6 Conclusions 93

References 94

Towardsan

Ontology

for Distributed

Manufacturing

Control 97

SilviuRaileanu,Theodor

Borangiu,

Stefan

Radulescu

1 Introduction 97 2 The

Manufacturing

Control Framework 98 3 Information

Analysis

for the Processes Associatedtothe

ControlFramework 101

3.1 Resource

Scheduling

Process 101 3.2

Operation

ExecutionProcess 102

3.3

Operation Monitoring

Process 102

4

Ontology

Definition 103

5 Conclusions 106

References 108

On the Team-Based Goal-Oriented

Development

for Holonic

Ill Gabriela Varvara

1 Introduction Ill

2 Belief-Desire-Intention(BDI)

Reasoning

Mechanism-

Principled

(5)

XVI Contents 3 AHolonic

Perspective

forTeamOriented

Programming

113 4 GORITETeams andHMS

Design

114 4.1 GORITE and Goal-Oriented

Design

115 4.2 The Situated Team 116 5 An

Experimental

HMS

Implementation Using

GORITE Situated

Team 118

5.1 The

Manufacturing Setup

and Scenario 118 5.2 The GoalOriented

Design

120 5.3 Situated Team-Based

Implementation

121

6 Conclusions 125

References 125

Extraction of

Priority

Rules for Boolean Induction in Distributed

Manufacturing

Control 127

NassimaAissani,

Baghdad

Atmani,DamienTrentesaux,

Beldjilali

Bouziane 1 Introduction 127 2 Distributed

Dynamic

Control and

Knowledge

Extraction:

Stateofthe Art 128

2.1

Dynamic Scheduling, Heterarchy

and

Multi-Agents

128 2.2 Rule Extraction

Using Data-Mining

129 3 Definition ofthe

Approach

and the Architecture 130 4

Multi-Agent

Framework for

Manufacturing

Control 131 4.1

Agent's

Generic Structure 131

4.2

Multi-Agent

System Organization

132

5 Boolean

Modelling

of the

Priority

RuleInduction 132

5.1 Data

Acquisition

135

5.2 Data

Mining Using

CellularInduction 137 5.3

Analysis

and

Interpretation

of

Results,

Boolean

Codification and Validation 138

6 Conclusion 141

References 141

Supply

Chain

Management Using Multi-Agent Systems

in the

Agri-Food Industry

145 Ait SiLarbiEl

Yasmine,

Bekrar Abdel

Ghani,

DamienTrentesaux,

Beldjilali

Bouziane

1 Introduction 145 2 Literature Review 146 2.1

Agri-Industry

and

Agri-Food

Supply

Chains 146 2.2

Inventory

and

Deteriorating

Product

Management

in

Agri-Food

SC 147

(6)

Contents XVII

3 A GenericModelofan

Agri-Food

Industry

SC 149

3.1 Case

Study

149

3.2 ASC Model with AUML 150

3.3

Implementation

151

3.4

Experimentation

152

4 Conclusion and

Perspectives

153

References 154

PartIII: Service Orientation in

Manufacturing Management

and Control A Generic Service

System Activity

Model with Event-Driven

Operation

Reconfiguring

Capability

159

Theodor

Borangiu,

Monica

Dragoicea, Virginia

EcaterinaOltean,lulia Iacob

1 Introduction 159

2

Development

ofaGeneric

SSyst Activity

Model 161 3 Service

Operations Management

and the

SSyst Activity

Model 165 4

Extending

Productswith ServicesinProduct-Service

Systems

(PSS) 171

5 Conclusions 173

References 174

Product

Specification

for Flexible Workflow Orchestrations in ServiceOrientedHolonic

Francisco Gamboa

Quintanilla,

Olivier

Cardin,

Pierre

Castagna

1 Introduction 177

2

Description

of

System

of

Application

178

3 Product

Specification

180 3.1 ProductFamilies 180 3.2 Product Model 181 3.3

Manufacturing-Services

182 3.4

Sequence Modelling through

Petri-Nets 184 4

Integration

into SoHMS 187 4.1 Holons'Roles 188 4.2 Holonic Interaction 189 5 Conclusion and

Perspectives

192

References 193

A

Multi-Agent

Architecture for

Compensating

Unforeseen Failures

onField ControlLevel 195

Christoph Legal,

Birgit Vogel-Heuser

(7)

XVIII Contents

2 Related Work 196 3

Multi-Agent System

for

Compensating

Unforeseen Failures 197 3.1 Control Service

Dispatcher

(CSD)

198 3.2

Operation

Strategy

Dispatcher

(OSD) 198 3.3 Control Service Observer(CSO) 199 3.4 Stabilization

Dispatcher (SD)

199

3.5

(Re-)Scheduler

199

3.6

Recovery Dispatcher

(RD) 200 4 Realization 200

5

Comparative Study

on

Throughput

Effects 202

5.1

Throughput

Effects of Immediate Maintenance

Stops

203 5.2

Throughput

Effects of

Dynamic Reconfiguration

204 5.3 Conclusion: ImmediateMaintenance

Stop

vs.

Dynamic

Reconfiguration

205

6

Summary

and Outlook 206

References 207

Integrating Agents

and Services forControland

Monitoring: Managing

Emergencies

in Smart

Buildings

209 Monica

Patra$cu,

Monica

Dragoicea

1 Introduction 209

2 Smart

Buildings,

Servicesand

Agents

-A Solution

Development

Framework 210

2.1 The Service Side 212

2.2 The

Agent

Side 214

3 Servicesand

Agents

in

Intelligent Building

Control and

Monitoring

215

4 Case Studies 218

4.1 Fire Event Evacuation Scenario 218 4.2 Chemical

Spill

in

Laboratory

Scenario 221

5 Conclusions 223

References 224

Stateof the Artand Future

Perspectives

for Smart

Support

Services for Public

Transport

225 Joao FalcaoeCunha,TeresaGalvao

1 Introduction 225

2 The MOVE-ME Service and Architecture 226 3

On-Going

ResearchonSmart Mobile TravellerInformation

Services 228

3.1

Measuring

and

Sharing

Users Emotional State 229 3.2

Sharing

Users InformationOn

Operational

Situation 230

(8)

Contents XIX 3.3

Managing Payment

andTravel Authorization 230 4

Perspectives

of Evolution-The MOVE-US Service Scenario 231

5 Conclusions 233

Acknowledgments

234

References 234

Part IV:

Intelligent

Products and Product-Driven Automation

QLM

Messaging

Standards: Introduction and

Comparison

with

Existing

Messaging

Protocols 237

Sylvain

Kubler,

Manik

Madhikermi,

AndreaBuda,

Kary Framling

1 Introduction 237

2 Data

Exchange Interoperability

239

2.1 Two-Level

Challenge

239 2.2 Candidate

Messaging

Protocols 240

3

Messaging Comparison

Framework 242

3.1

Message Delivery

Model 242 3.2

Message

Processing

Model 243

3.3

Message

Failure Model 243

3.4

Comparison Study

244

4

QLM Messaging

Standards 246

4.1

QLM

Messaging

Interface 246

4.2

QLM Messaging

Format 247 5

Application Scope

of the

QLM Messaging

Protocol 248 5.1 Production Line of Carchassis 249 5.2 SmartHouse

Application

252

6 Conclusion 254

References 255

Proposition

ofan

Analysis

Framework to Describe the"Activeness"

ofaProduct

during

Its Life

cycle.

Part I: Motivations and

Modelling

... 257

Yves Sallez

1 Introduction 257

2 The State of theArtof

"Intelligent"

Product

Typologies

258 2.1 Mono-criterion

Typologies

258 2.2 Multi-criteria

Typologies

for an

"Intelligent"

Product 259 2.3

Typologies

foraCollective of

"Intelligent"

Products 262

2.4

Summary

of the Different

Typologies

263 3 The

Concept

of "Active"Product and the Associated

Analysis

(9)

XX Contents 3.1 The

Concept

of "Active" Product in Brief 264 3.2

Proposed Analysis

Framework 265

4 Conclusion 269

References 269

Proposition

ofan

Analysis

Framework to Describe the "Activeness"

ofa Product

during

ItsLife

Cycle.

PartII:Method and

Applications

... 271

Yves Sallez

1 Introduction 271

2 Guidelines forthe

Application

ofthe

Analysis

Framework 272

3

Application

of the

Analysis

Framework ina

Manufacturing

Context 274

3.1 Context and Functionsunder

Study

274

3.2

Application

of the Guidelines 274

3.3 Overview of the Framework 276 4

Application

of the

Analysis

Framework in aCondition-Based

Maintenance Context 276

4.1 Context and Function under

Study

277

4.2

Application

of the Guidelines 278

4.3 Overview ofthe

Analysis

Framework 281 5 Conclusion and

Prospects

281

References 282

An

Evolutionary

Simulation-Optimization

Approach

to

Product-Driven

Manufacturing

Control 283 MehdiGaham,Brahim Bouzouia, Nouara Achour

1 Introduction 283 2 Presentationof the

Multi-Agent

Product-Driven Control

System

286

3

Scheduling

Rules-Based Genetic

Algorithm

Simulation-Optimization

286 4

Prototype

Development

and

Approach

Validation 290 4.1

Computational

Results 292 5 Conclusions and Future Works 293

References 293

Farm

Management

Information

System

as

Ontological

Level in

a

Digital

Business

Ecosystem

295

Luiza-Elena_{Cojocaru, George Burlacu,}Dan_Popescu,Aurelian Mihai Stanescu

1 Introduction 295

(10)

Contents XXI 3 A

Methodology

to

Develop

a

Management

Information

System

forFuture Internet Based Farm 298 4

Integrating

the Farm

Management

Information

System

within

a

Digital

Business

Ecosystem

at

Ontological

Level 306

5 Conclusion 308

References 309

PartV: Robots for

Manufacturing

and Services

Vision-Guided Robot

Manipulation

Predictive Control

for

Automating Manufacturing

313

Corneliu Lazar, AdrianBurlacu,Alexandru

Archip

1 Introduction 313 2 Visual Features

Recognition

and

Tracking

315 2.1

Key

Point Extraction and

Description

315 2.2 VisualFeatures

Tracking

317

3

Image-Based

Predictive Controller 317

3.1 Reference

Trajectory

Generation 319 3.2 Local Model Based Prediction 320

3.3

Image-Based

Predictive Control Law 322

4 SOA Based Visual

Servoing

Implementation

and

Experimental

Results 323

4.1 SOA Based

Manufacturing System

323 4.2 Visual

Servoing

Implementation

324

4.3 Case

Study

326

5 Conclusions 326

References 327

Integration

of Visual

Quality

Control Servicesin

Manufacturing

Lines 329

Florin D.Anton,Silvia Anton,Theodor_Borangiu

1 Introduction 329

2 Holonic

Manufacturing

Control with SOA

Knowledge

Base 330 3 Product Data 332 4 Automated Visual

Quality

Control 338 5 The

Manufacturing

Line 339

6

Experimental

Results 340

7 Conclusion 341

(11)

XXII Contents

Optimized

Location

Discovery Algorithm

for

Cooperative

Activities

ofa Robot Team 343

RaduDobrescu,MateiDobrescu, GheorgheFlorea.VictorPurcarea

1 Introduction 343

2 RelatedWork 344

3 Material and Methods 345 3.1 HardwareStructure Details 345 3.2 Detailson Data

Acquisition

346

3.3 DetailsonCommunicationCharacteristics 347

4 A Method for MMRLocalisation Basedon

Cooperative

Work 347

4.1 Node Location

through

Multi-lateration 347 4.2 The

Algorithm

for Location

Discovery

350 5 Simulation Results 351 6 Conclusions 352

References 353

A

Study

of

Feasibility

ofaHuman

Finger

Exoskeleton 355

DanieleCafolla, GiuseppeCarbone

1 Introduction 355 2 The Attached Problem 356

3 The

Proposed

Exoskeleton 357

4 Numerical Simulations 358 5 Conclusions 363

References 363