Strategic planning models for reverse and closed-loop supply chains:
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| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton [u.a.]
CRC Press
2009
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturangaben |
| Physical Description: | XVII, 285 S. graph. Darst. |
| ISBN: | 9781420054781 |
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MARC
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| 020 | |a 9781420054781 |c hardback : alk. paper |9 978-1-4200-5478-1 | ||
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| 100 | 1 | |a Pochampally, Kishore K. |e Verfasser |0 (DE-588)1206001550 |4 aut | |
| 245 | 1 | 0 | |a Strategic planning models for reverse and closed-loop supply chains |c Kishore K. Pochampally ; Satish Nukala ; Surendra M. Gupta |
| 264 | 1 | |a Boca Raton [u.a.] |b CRC Press |c 2009 | |
| 300 | |a XVII, 285 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Literaturangaben | ||
| 650 | 4 | |a Umwelt | |
| 650 | 4 | |a Manufacturing processes |x Environmental aspects | |
| 650 | 4 | |a Business logistics |x Environmental aspects | |
| 650 | 4 | |a Remanufacturing | |
| 650 | 4 | |a Waste minimization | |
| 650 | 4 | |a Salvage (Waste, etc.) | |
| 650 | 4 | |a Recycling (Waste, etc.) | |
| 650 | 0 | 7 | |a Supply Chain Management |0 (DE-588)4684051-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Stoffstrommanagement |0 (DE-588)4451877-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Recycling |0 (DE-588)4076573-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Strategische Planung |0 (DE-588)4309237-8 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Supply Chain Management |0 (DE-588)4684051-5 |D s |
| 689 | 0 | 1 | |a Strategische Planung |0 (DE-588)4309237-8 |D s |
| 689 | 0 | 2 | |a Recycling |0 (DE-588)4076573-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Stoffstrommanagement |0 (DE-588)4451877-8 |D s |
| 689 | 1 | |5 DE-604 | |
| 700 | 1 | |a Nukala, Satish |e Verfasser |0 (DE-588)1206001887 |4 aut | |
| 700 | 1 | |a Gupta, Surendra M. |e Verfasser |0 (DE-588)120600200X |4 aut | |
| 856 | 4 | 2 | |m Digitalisierung UB Bayreuth |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016725162&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-016725162 | ||
Record in the Search Index
| _version_ | 1804137998939324416 |
|---|---|
| adam_text | Contents
Preface
.......................................................................................................xiii
Acknowledgments
......................................................................................xv
About the Authors
...................................................................................xvii
1
Introduction
.........................................................................................1
1.1
Motivation
............................................................................................1
1.2
Overview of the Book
.........................................................................5
1.3
Outline of the Book
.............................................................................7
1.4
Conclusions
..........................................................................................9
References
.......................................................................................................9
2
Strategic Planning of Reverse and Closed-Loop Supply
Chains
................................................................................................11
2.1
Introduction
.......................................................................................11
2.2
Selection of Used Products
..............................................................12
2.3
Evaluation of Collection Centers
....................................................12
2.4
Evaluation of Recovery Facilities
....................................................13
2.5
Optimization of Transportation of Goods
....................................13
2.6
Evaluation of Marketing Strategies
................................................14
2.7
Evaluation of Production Facilities
.................................................14
2.8
Evaluation of Futurity of Used Products
.......................................15
2.9
Selection of New Products
...............................................................15
2.10
Selection of Secondhand Markets
..................................................16
2.11
Synchronization of Supply Chain Processes
................................16
2.12
Supply Chain Performance Measurement
....................................16
2.13
Conclusions
........................................................................................17
References
.....................................................................................................17
3
Literature Review
.............................................................................19
3.1
Introduction
.......................................................................................19
3.2
Operational Planning of Reverse and Closed-Loop Supply
Chains
.................................................................................................19
3.3
Strategic and Tactical Planning of Reverse and Closed-
Loop Supply Chains
.........................................................................24
3.4
Conclusions
........................................................................................31
References
.....................................................................................................31
4
Quantitative Modeling Techniques
...............................................37
4.1
Introduction
.......................................................................................37
4.2
Analytic Hierarchy Process and
Eigen
Vector Method
...............37
4.3
Analytic Network Process
...............................................................39
vii
viii Contents
4.4
Fuzzy
Logic
........................................................................................40
4.5
Extent Analysis Method
...................................................................43
4.6
Fuzzy Multicriteria Analysis Method
............................................44
4.7
Quality Function Deployment
........................................................48
4.8
Method of Total Preferences
............................................................49
4.9
Linear Physical Programming
........................................................49
4.10
Goal Programming
...........................................................................52
4.11
Technique for Order Preference by Similarity to Ideal
Solution (TOPSIS)
..............................................................................55
4.12
Borda s Choice Rule
..........................................................................58
4.13
Expertsystems
..................................................................................58
4.14
Bayesian Updating
............................................................................59
4.15
Taguchi Loss Function
.....................................................................61
4.16
Six Sigma
............................................................................................63
4.16.1
Process Capability Ratio (Cp)
..............................................64
4.16.2
Process Capability Index (C^
............................................64
4.16.2.1
Three Sigma Process
...........................................65
4.16.2.2 4.5
Sigma Process
................................................66
4.16.2.3
Six Sigma Process
................................................66
4.17
Neural Networks
...............................................................................67
4.18
Geographical Information Systems
................................................68
4.19
Linear Integer Programming
..........................................................69
4.20
Conclusions
........................................................................................69
References
.....................................................................................................69
5
Selection of Used Products
..............................................................73
5.1
The Issue
.............................................................................................73
5.2
First Model (Linear Integer Programming)
..................................73
5.2.1
Nomenclature
........................................................................74
5.2.2
Model Formulation
...............................................................74
5.2.2.1
Modified Cost-Benefit Function
..........................75
5.2.2.2
Linear Integer Programming Model
.................76
5.2.3
Numerical Example
..............................................................77
5.3
Second Model (Linear Physical Programming)
...........................78
5.3.1
Model Formulation
................................................................78
5.3.1.1
Class IS Criteria (Smaller Is Better)
....................78
5.3.1.2
Class 2S Criteria (Larger Is Better)
......................79
5.3.2
Numerical Example
..............................................................80
5.4
Conclusions
........................................................................................80
References
.....................................................................................................85
6
Evaluation of Collection Centers
....................................................87
6.1
The Issue
.............................................................................................87
6.2
First Model
(Eigen
Vector Method and Taguchi Loss Function)
.....88
6.2.1
Evaluation Criteria
................................................................88
6.2.2
Model
......................................................................................89
Contents ix
6.2.2.1
«Value
....................................................................90
6.2.2.2
Distance from Residential Area (DH)
...............91
6.2.2.3
Distance from Roads
(DR)
..................................91
6.2.2.4
Utilization of Incentives from Local
Government (III)
.................................................91
6.2.2.5
Per Capita Income of People in Residential
Area (Pi)
...............................................................91
6.2.2.6
Space Cost (SC)
......................................................92
6.2.2.7
Labor Cost (LC)
.....................................................92
6.2.2.8
Incentives from Local Government
(IG)............92
6.3
Evaluation Criteria for Second and Third Models
.......................93
6.3.1
Criteria of Consumers
...........................................................93
6.3.2
Criteria of Local Government Officials
..............................94
6.3.3
Criteria of Supply Chain Company Executives
................94
6.4
Second Model
(Eigen
Vector Method, TOPSIS, and Borda s
Choice Rule)
.......................................................................................95
6.4.1
Phase I (Individual Decision Making)
...............................95
6.4.2
Phase II (Group Decision Making)
...................................101
6.5
Third Model (Neural Networks, Fuzzy Logic, TOPSIS,
Borda s Rule)
....................................................................................103
6.5.1
Phase I (Derivation of Impacts)
.........................................103
6.5.2
Phase II (Individual Decision Making)
............................106
6.5.3
Phase III (Group Decision Making)
..................................109
6.6
Fourth Model
(ANP
and Goal Programming)
...........................110
6.6.1
Application of
ANP
.............................................................110
6.6.2
Application of Goal Programming
...................................116
6.6.2.1
Nomenclature for Problem Formulation
.........116
6.6.2.2
Problem Formulation
.........................................116
6.7
Fifth Model
(Eigen
Vector Method, Taguchi Loss Function,
and Goal Programming)
................................................................118
6.7.1
Application of
Eigen
Vector Method and Taguchi
Loss Function
.......................................................................118
6.7.2
Application of Goal Programming
...................................121
6.7.2.1
Nomenclature Used in the Methodology
.........122
6.7.2.2
Problem Formulation
..........................................122
6.8
Conclusions
......................................................................................124
References
...................................................................................................124
7
Evaluation of Recovery Facilities
.................................................125
7.1
The Issue
...........................................................................................125
7.2
First Model (Analytic Hierarchy Process)
...................................126
7.2.1
Three-Level Hierarchy
........................................................126
7.2.2
Numerical Example
.............................................................128
7.3
Second Model (Linear Physical Programming)
.........................130
7.3.1
Nomenclature for LPP Model
............................................130
Contents
7.3.2
Criteria
for Identification of Efficient Recovery
Facilities
.................................................................................131
7.3.2.1
Class IS Criteria (Smaller is Better)
..................131
7.3.2.2
Class 2S Criteria (Larger Is Better)
....................131
7.3.3
Numerical Example
.............................................................132
7.4
Evaluation Criteria for Third and Fourth Models
......................132
7.4.1
Criteria of Consumers
.........................................................134
7.4.2
Criteria of Local Government Officials
............................134
7.4.3
Criteria of Supply Chain Company Executives
...............135
7.5
Third Model
(Eigen
Vector Method, TOPSIS, and Borda s
Choice Rule)
.....................................................................................135
7.5.1
Phase I (Individual Decision Making)
..............................135
7.5.2
Phase
Π
(Group Decision Making)
....................................140
7.6
Fourth Model (Neural Networks, Fuzzy Logic, TOPSIS,
Borda s Choice Rule)
.......................................................................140
7.6.1
Phase I (Derivation of Impacts)
..........................................141
7.6.2
Phase
Π
(Individual Decision Making)
............................145
7.6.3
Phase III (Group Decision Making)
..................................147
7.7
Fifth Model (Two-Dimensional Chart)
........................................148
7.8
Conclusions
......................................................................................151
References
...................................................................................................151
Optimization of Transportation of Products
..............................153
8.1
The Issue
...........................................................................................153
8.2
First Model (Linear Integer Programming)
................................154
8.2.1
Nomenclature
......................................................................154
8.2.2
Model Formulation
.............................................................155
8.2.3
Numerical Example
............................................................157
8.3
Second Model (Linear Physical Programming)
.........................158
8.3.1
Model Formulation
..............................................................158
8.3.2
Numerical Example
............................................................160
8.4
Third Model (Goal Programming)
...............................................161
8.4.1
Nomenclature
.......................................................................161
8.4.2
Model Formulation
.............................................................162
8.4.3
Numerical Example
............................................................166
8.5
Fourth Model (Linear Physical Programming)
..........................168
8.5.1
Model Formulation
..............................................................168
8.5.2
Numerical Example
............................................................171
8.6
Fifth Model (Fuzzy Goal Programming)
....................................173
8.6.1
Model Formulation
..............................................................173
8.6.2
Numerical Example
............................................................178
8.7
Conclusions
......................................................................................179
References
...................................................................................................179
Evaluation of Marketing Strategies
.............................................181
9.1
The Issue
...........................................................................................181
Contents xi
9.2 First Model
(Fuzzy
Logic and TOPSIS)........................................182
9.2.1
Drivers of
Public
Participation...........................................
182
9.2.2
Methodology
........................................................................183
9.3
Second Model (Fuzzy Logic, Quality Function
Deployment, and Method of Total Preferences)
.........................188
9.3.1
Performance Aspects and Enablers
..................................188
9.3.2
Numerical Example
.............................................................190
9.4
Third Model (Fuzzy Logic, Extent Analysis Method, and
Analytic Network Process)
............................................................192
9.4.1
Main Criteria and Subcriteria
............................................193
9.4.2
Numerical Example
.............................................................193
9.5
Conclusions
......................................................................................198
References
...................................................................................................199
10
Evaluation of Production Facilities
..............................................201
10.1
The Issue
...........................................................................................201
10.2
First Model (Fuzzy Logic and TOPSIS)
.......................................202
10.2.1
Evaluation Criteria
.............................................................203
10.2.1.1
Environmentally Conscious Design (ECO)
... 203
10.2.1.2
Environmentally Conscious
Manufacturing (ECM)
......................................203
10.2.1.3
Attitude of Management
(AMT).....................204
10.2.1.4
Potentiality (POT)
..............................................204
10.2.1.5
Cost (COS)
..........................................................204
10.2.1.6
Customer Service
(CSE)
....................................204
10.2.2
Numerical Example
...........................................................205
10.3
Second Model (Fuzzy Logic, Extent Analysis Method, and
Analytic Network Process)
............................................................212
10.4
Third Model (Fuzzy Multicriteria Analysis Method)
...............215
10.5
Conclusions
......................................................................................226
References
...................................................................................................226
11
Evaluation of Futurity of Used Products
.....................................227
11.1
The Issue
...........................................................................................227
11.2
Usage of Fuzzy Logic
.....................................................................229
11.3
Rules Used in Bayesian Updating
................................................230
11.4
Bayesian Updating
..........................................................................231
11.5
FLEX-Based Expert System
...........................................................232
11.6
Conclusions
......................................................................................232
References
...................................................................................................233
12
Selection of New Products
............................................................235
12.1
The Issue
..........................................................................................235
12.2
Assumptions
...................................................................................236
12.3
Nomenclature
..................................................................................236
12.4
Formulation of Fuzzy Cost-Benefit Function
..............................238
xii Contents
12.4.1 Total New
Product
Sale Revenue
per
Period
(SR)
.........238
12.4.2
Total
Reuse Revenue per Period
(UR)
............................238
12.4.3
Total Recycle Revenue per Period (GR)
..........................239
12.4.4
Total New Product Production Cost per Period (MQ
. 239
12.4.5
Total Collection Cost per Period (CC)
............................239
12.4.6
Total Reprocessing Cost per Period (RQ
.......................239
12.4.7
Total Disposal Cost per Period (DC)
...............................240
12.4.8
Loss-of-Sale Cost per Period (LQ
...................................240
12.4.9
Investment Cost
(1С)..........................................................240
12.5
Model
................................................................................................241
12.6
Numerical Example
........................................................................241
12.7
Conclusions
.............................................................................:.......243-
References
...................................................................................................244
13
Selection of Secondhand Markets
................................................245
13.1
The Issue
...........................................................................................245
13.2
Performance Aspects and Enablers for Application of QFD....
245
13.3
Selection of Potential Secondhand Markets
...............................246
13.4
Conclusions
......................................................................................250
14
Design of a Synchronized Reverse Supply Chain
.....................251
14.1
The Issue
...........................................................................................251
14.2
Model (Two Design Experiments)
................................................251
14.2.1
First Experiment (Determination of Nominal Pool)
.....251
14.2.2
Second Experiment (Determination of Variance Pool)
... 253
14.3
Conclusions
......................................................................................254
References
...................................................................................................255
15
Performance Measurement
............................................................257
15.1
The Issue
...........................................................................................257
15.2
Application of LPP to QFD Optimization
...................................258
15.2.1
First Step
.............................................................................258
15.2.2
Second Step
........................................................................260
15.3
Reverse/Closed-Loop Supply Chain Performance
Measurement
...................................................................................261
15.3.1
Performance Aspects and Enablers
................................261
15.3.2
Numerical Example
...........................................................263
15.4
Conclusions
......................................................................................269
References
...................................................................................................269
16
Conclusions
.....................................................................................271
Author index
............................................................................................275
Subject Index
...........................................................................................279
|
| adam_txt |
Contents
Preface
.xiii
Acknowledgments
.xv
About the Authors
.xvii
1
Introduction
.1
1.1
Motivation
.1
1.2
Overview of the Book
.5
1.3
Outline of the Book
.7
1.4
Conclusions
.9
References
.9
2
Strategic Planning of Reverse and Closed-Loop Supply
Chains
.11
2.1
Introduction
.11
2.2
Selection of Used Products
.12
2.3
Evaluation of Collection Centers
.12
2.4
Evaluation of Recovery Facilities
.13
2.5
Optimization of Transportation of Goods
.13
2.6
Evaluation of Marketing Strategies
.14
2.7
Evaluation of Production Facilities
.14
2.8
Evaluation of Futurity of Used Products
.15
2.9
Selection of New Products
.15
2.10
Selection of Secondhand Markets
.16
2.11
Synchronization of Supply Chain Processes
.16
2.12
Supply Chain Performance Measurement
.16
2.13
Conclusions
.17
References
.17
3
Literature Review
.19
3.1
Introduction
.19
3.2
Operational Planning of Reverse and Closed-Loop Supply
Chains
.19
3.3
Strategic and Tactical Planning of Reverse and Closed-
Loop Supply Chains
.24
3.4
Conclusions
.31
References
.31
4
Quantitative Modeling Techniques
.37
4.1
Introduction
.37
4.2
Analytic Hierarchy Process and
Eigen
Vector Method
.37
4.3
Analytic Network Process
.39
vii
viii Contents
4.4
Fuzzy
Logic
.40
4.5
Extent Analysis Method
.43
4.6
Fuzzy Multicriteria Analysis Method
.44
4.7
Quality Function Deployment
.48
4.8
Method of Total Preferences
.49
4.9
Linear Physical Programming
.49
4.10
Goal Programming
.52
4.11
Technique for Order Preference by Similarity to Ideal
Solution (TOPSIS)
.55
4.12
Borda's Choice Rule
.58
4.13
Expertsystems
.58
4.14
Bayesian Updating
.59
4.15
Taguchi Loss Function
.61
4.16
Six Sigma
.63
4.16.1
Process Capability Ratio (Cp)
.64
4.16.2
Process Capability Index (C^
.64
4.16.2.1
Three Sigma Process
.65
4.16.2.2 4.5
Sigma Process
.66
4.16.2.3
Six Sigma Process
.66
4.17
Neural Networks
.67
4.18
Geographical Information Systems
.68
4.19
Linear Integer Programming
.69
4.20
Conclusions
.69
References
.69
5
Selection of Used Products
.73
5.1
The Issue
.73
5.2
First Model (Linear Integer Programming)
.73
5.2.1
Nomenclature
.74
5.2.2
Model Formulation
.74
5.2.2.1
Modified Cost-Benefit Function
.75
5.2.2.2
Linear Integer Programming Model
.76
5.2.3
Numerical Example
.77
5.3
Second Model (Linear Physical Programming)
.78
5.3.1
Model Formulation
.78
5.3.1.1
Class IS Criteria (Smaller Is Better)
.78
5.3.1.2
Class 2S Criteria (Larger Is Better)
.79
5.3.2
Numerical Example
.80
5.4
Conclusions
.80
References
.85
6
Evaluation of Collection Centers
.87
6.1
The Issue
.87
6.2
First Model
(Eigen
Vector Method and Taguchi Loss Function)
.88
6.2.1
Evaluation Criteria
.88
6.2.2
Model
.89
Contents ix
6.2.2.1
«Value
.90
6.2.2.2
Distance from Residential Area (DH)
.91
6.2.2.3
Distance from Roads
(DR)
.91
6.2.2.4
Utilization of Incentives from Local
Government (III)
.91
6.2.2.5
Per Capita Income of People in Residential
Area (Pi)
.91
6.2.2.6
Space Cost (SC)
.92
6.2.2.7
Labor Cost (LC)
.92
6.2.2.8
Incentives from Local Government
(IG).92
6.3
Evaluation Criteria for Second and Third Models
.93
6.3.1
Criteria of Consumers
.93
6.3.2
Criteria of Local Government Officials
.94
6.3.3
Criteria of Supply Chain Company Executives
.94
6.4
Second Model
(Eigen
Vector Method, TOPSIS, and Borda's
Choice Rule)
.95
6.4.1
Phase I (Individual Decision Making)
.95
6.4.2
Phase II (Group Decision Making)
.101
6.5
Third Model (Neural Networks, Fuzzy Logic, TOPSIS,
Borda's Rule)
.103
6.5.1
Phase I (Derivation of Impacts)
.103
6.5.2
Phase II (Individual Decision Making)
.106
6.5.3
Phase III (Group Decision Making)
.109
6.6
Fourth Model
(ANP
and Goal Programming)
.110
6.6.1
Application of
ANP
.110
6.6.2
Application of Goal Programming
.116
6.6.2.1
Nomenclature for Problem Formulation
.116
6.6.2.2
Problem Formulation
.116
6.7
Fifth Model
(Eigen
Vector Method, Taguchi Loss Function,
and Goal Programming)
.118
6.7.1
Application of
Eigen
Vector Method and Taguchi
Loss Function
.118
6.7.2
Application of Goal Programming
.121
6.7.2.1
Nomenclature Used in the Methodology
.122
6.7.2.2
Problem Formulation
.122
6.8
Conclusions
.124
References
.124
7
Evaluation of Recovery Facilities
.125
7.1
The Issue
.125
7.2
First Model (Analytic Hierarchy Process)
.126
7.2.1
Three-Level Hierarchy
.126
7.2.2
Numerical Example
.128
7.3
Second Model (Linear Physical Programming)
.130
7.3.1
Nomenclature for LPP Model
.130
Contents
7.3.2
Criteria
for Identification of Efficient Recovery
Facilities
.131
7.3.2.1
Class IS Criteria (Smaller is Better)
.131
7.3.2.2
Class 2S Criteria (Larger Is Better)
.131
7.3.3
Numerical Example
.132
7.4
Evaluation Criteria for Third and Fourth Models
.132
7.4.1
Criteria of Consumers
.134
7.4.2
Criteria of Local Government Officials
.134
7.4.3
Criteria of Supply Chain Company Executives
.135
7.5
Third Model
(Eigen
Vector Method, TOPSIS, and Borda's
Choice Rule)
.135
7.5.1
Phase I (Individual Decision Making)
.135
7.5.2
Phase
Π
(Group Decision Making)
.140
7.6
Fourth Model (Neural Networks, Fuzzy Logic, TOPSIS,
Borda's Choice Rule)
.140
7.6.1
Phase I (Derivation of Impacts)
.141
7.6.2
Phase
Π
(Individual Decision Making)
.145
7.6.3
Phase III (Group Decision Making)
.147
7.7
Fifth Model (Two-Dimensional Chart)
.148
7.8
Conclusions
.151
References
.151
Optimization of Transportation of Products
.153
8.1
The Issue
.153
8.2
First Model (Linear Integer Programming)
.154
8.2.1
Nomenclature
.154
8.2.2
Model Formulation
.155
8.2.3
Numerical Example
.157
8.3
Second Model (Linear Physical Programming)
.158
8.3.1
Model Formulation
.158
8.3.2
Numerical Example
.160
8.4
Third Model (Goal Programming)
.161
8.4.1
Nomenclature
.161
8.4.2
Model Formulation
.162
8.4.3
Numerical Example
.166
8.5
Fourth Model (Linear Physical Programming)
.168
8.5.1
Model Formulation
.168
8.5.2
Numerical Example
.171
8.6
Fifth Model (Fuzzy Goal Programming)
.173
8.6.1
Model Formulation
.173
8.6.2
Numerical Example
.178
8.7
Conclusions
.179
References
.179
Evaluation of Marketing Strategies
.181
9.1
The Issue
.181
Contents xi
9.2 First Model
(Fuzzy
Logic and TOPSIS).182
9.2.1
Drivers of
Public
Participation.
182
9.2.2
Methodology
.183
9.3
Second Model (Fuzzy Logic, Quality Function
Deployment, and Method of Total Preferences)
.188
9.3.1
Performance Aspects and Enablers
.188
9.3.2
Numerical Example
.190
9.4
Third Model (Fuzzy Logic, Extent Analysis Method, and
Analytic Network Process)
.192
9.4.1
Main Criteria and Subcriteria
.193
9.4.2
Numerical Example
.193
9.5
Conclusions
.198
References
.199
10
Evaluation of Production Facilities
.201
10.1
The Issue
.201
10.2
First Model (Fuzzy Logic and TOPSIS)
.202
10.2.1
Evaluation Criteria
.203
10.2.1.1
Environmentally Conscious Design (ECO)
. 203
10.2.1.2
Environmentally Conscious
Manufacturing (ECM)
.203
10.2.1.3
Attitude of Management
(AMT).204
10.2.1.4
Potentiality (POT)
.204
10.2.1.5
Cost (COS)
.204
10.2.1.6
Customer Service
(CSE)
.204
10.2.2
Numerical Example
.205
10.3
Second Model (Fuzzy Logic, Extent Analysis Method, and
Analytic Network Process)
.212
10.4
Third Model (Fuzzy Multicriteria Analysis Method)
.215
10.5
Conclusions
.226
References
.226
11
Evaluation of Futurity of Used Products
.227
11.1
The Issue
.227
11.2
Usage of Fuzzy Logic
.229
11.3
Rules Used in Bayesian Updating
.230
11.4
Bayesian Updating
.231
11.5
FLEX-Based Expert System
.232
11.6
Conclusions
.232
References
.233
12
Selection of New Products
.235
12.1
The Issue
.235
12.2
Assumptions
.236
12.3
Nomenclature
.236
12.4
Formulation of Fuzzy Cost-Benefit Function
.238
xii Contents
12.4.1 Total New
Product
Sale Revenue
per
Period
(SR)
.238
12.4.2
Total
Reuse Revenue per Period
(UR)
.238
12.4.3
Total Recycle Revenue per Period (GR)
.239
12.4.4
Total New Product Production Cost per Period (MQ
. 239
12.4.5
Total Collection Cost per Period (CC)
.239
12.4.6
Total Reprocessing Cost per Period (RQ
.239
12.4.7
Total Disposal Cost per Period (DC)
.240
12.4.8
Loss-of-Sale Cost per Period (LQ
.240
12.4.9
Investment Cost
(1С).240
12.5
Model
.241
12.6
Numerical Example
.241
12.7
Conclusions
.:.243-
References
.244
13
Selection of Secondhand Markets
.245
13.1
The Issue
.245
13.2
Performance Aspects and Enablers for Application of QFD.
245
13.3
Selection of Potential Secondhand Markets
.246
13.4
Conclusions
.250
14
Design of a Synchronized Reverse Supply Chain
.251
14.1
The Issue
.251
14.2
Model (Two Design Experiments)
.251
14.2.1
First Experiment (Determination of Nominal Pool)
.251
14.2.2
Second Experiment (Determination of Variance Pool)
. 253
14.3
Conclusions
.254
References
.255
15
Performance Measurement
.257
15.1
The Issue
.257
15.2
Application of LPP to QFD Optimization
.258
15.2.1
First Step
.258
15.2.2
Second Step
.260
15.3
Reverse/Closed-Loop Supply Chain Performance
Measurement
.261
15.3.1
Performance Aspects and Enablers
.261
15.3.2
Numerical Example
.263
15.4
Conclusions
.269
References
.269
16
Conclusions
.271
Author index
.275
Subject Index
.279 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Pochampally, Kishore K. Nukala, Satish Gupta, Surendra M. |
| author_GND | (DE-588)1206001550 (DE-588)1206001887 (DE-588)120600200X |
| author_facet | Pochampally, Kishore K. Nukala, Satish Gupta, Surendra M. |
| author_role | aut aut aut |
| author_sort | Pochampally, Kishore K. |
| author_variant | k k p kk kkp s n sn s m g sm smg |
| building | Verbundindex |
| bvnumber | BV035056580 |
| callnumber-first | T - Technology |
| callnumber-label | TS155 |
| callnumber-raw | TS155.7 |
| callnumber-search | TS155.7 |
| callnumber-sort | TS 3155.7 |
| callnumber-subject | TS - Manufactures |
| classification_rvk | QP 240 QP 530 |
| ctrlnum | (OCoLC)226036992 (DE-599)BVBBV035056580 |
| dewey-full | 658.5/67 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5/67 |
| dewey-search | 658.5/67 |
| dewey-sort | 3658.5 267 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV035056580 |
| illustrated | Illustrated |
| index_date | 2024-07-02T21:58:46Z |
| indexdate | 2024-07-09T21:21:12Z |
| institution | BVB |
| isbn | 9781420054781 |
| language | English |
| lccn | 2008014566 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016725162 |
| oclc_num | 226036992 |
| open_access_boolean | |
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| owner_facet | DE-703 DE-355 DE-BY-UBR DE-M347 DE-945 |
| physical | XVII, 285 S. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Pochampally, Kishore K. Verfasser (DE-588)1206001550 aut Strategic planning models for reverse and closed-loop supply chains Kishore K. Pochampally ; Satish Nukala ; Surendra M. Gupta Boca Raton [u.a.] CRC Press 2009 XVII, 285 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturangaben Umwelt Manufacturing processes Environmental aspects Business logistics Environmental aspects Remanufacturing Waste minimization Salvage (Waste, etc.) Recycling (Waste, etc.) Supply Chain Management (DE-588)4684051-5 gnd rswk-swf Stoffstrommanagement (DE-588)4451877-8 gnd rswk-swf Recycling (DE-588)4076573-8 gnd rswk-swf Strategische Planung (DE-588)4309237-8 gnd rswk-swf Supply Chain Management (DE-588)4684051-5 s Strategische Planung (DE-588)4309237-8 s Recycling (DE-588)4076573-8 s DE-604 Stoffstrommanagement (DE-588)4451877-8 s Nukala, Satish Verfasser (DE-588)1206001887 aut Gupta, Surendra M. Verfasser (DE-588)120600200X aut Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016725162&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Pochampally, Kishore K. Nukala, Satish Gupta, Surendra M. Strategic planning models for reverse and closed-loop supply chains Umwelt Manufacturing processes Environmental aspects Business logistics Environmental aspects Remanufacturing Waste minimization Salvage (Waste, etc.) Recycling (Waste, etc.) Supply Chain Management (DE-588)4684051-5 gnd Stoffstrommanagement (DE-588)4451877-8 gnd Recycling (DE-588)4076573-8 gnd Strategische Planung (DE-588)4309237-8 gnd |
| subject_GND | (DE-588)4684051-5 (DE-588)4451877-8 (DE-588)4076573-8 (DE-588)4309237-8 |
| title | Strategic planning models for reverse and closed-loop supply chains |
| title_auth | Strategic planning models for reverse and closed-loop supply chains |
| title_exact_search | Strategic planning models for reverse and closed-loop supply chains |
| title_exact_search_txtP | Strategic planning models for reverse and closed-loop supply chains |
| title_full | Strategic planning models for reverse and closed-loop supply chains Kishore K. Pochampally ; Satish Nukala ; Surendra M. Gupta |
| title_fullStr | Strategic planning models for reverse and closed-loop supply chains Kishore K. Pochampally ; Satish Nukala ; Surendra M. Gupta |
| title_full_unstemmed | Strategic planning models for reverse and closed-loop supply chains Kishore K. Pochampally ; Satish Nukala ; Surendra M. Gupta |
| title_short | Strategic planning models for reverse and closed-loop supply chains |
| title_sort | strategic planning models for reverse and closed loop supply chains |
| topic | Umwelt Manufacturing processes Environmental aspects Business logistics Environmental aspects Remanufacturing Waste minimization Salvage (Waste, etc.) Recycling (Waste, etc.) Supply Chain Management (DE-588)4684051-5 gnd Stoffstrommanagement (DE-588)4451877-8 gnd Recycling (DE-588)4076573-8 gnd Strategische Planung (DE-588)4309237-8 gnd |
| topic_facet | Umwelt Manufacturing processes Environmental aspects Business logistics Environmental aspects Remanufacturing Waste minimization Salvage (Waste, etc.) Recycling (Waste, etc.) Supply Chain Management Stoffstrommanagement Recycling Strategische Planung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016725162&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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