Best Practices in Lean Manufacturing: A Relational Analysis
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing AG
2022
|
| Schriftenreihe: | SpringerBriefs in Applied Sciences and Technology Series
|
| Schlagworte: | |
| Online-Zugang: | HWR01 |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (128 Seiten) |
| ISBN: | 9783030977528 |
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| 505 | 8 | |a Intro -- Preface -- Contents -- List of Figures -- List of Tables -- 1 Lean Manufacturing Origins and Concepts -- 1.1 What is Lean Manufacturing? -- 1.1.1 The LM House -- 1.2 Lean Manufacturing Origins -- 1.3 Enablers in LM Implementation -- 1.4 Barriers in LM Implementation -- 1.5 Lean Manufacturing: Some Applications -- 1.6 Lean Manufacturing Benefits -- 1.6.1 Operational Benefits -- 1.6.2 Social Benefits -- 1.6.3 Environmental Benefits -- 1.6.4 Economic Benefits -- 1.7 Problem Research and Objective -- References -- 2 Some Lean Manufacturing Tools -- 2.1 General Description of Lean Manufacturing -- 2.2 Cellular Layouts (CEL) -- 2.3 Pull System (PUS) -- 2.4 Small-Lot Production (SLP) -- 2.5 Quick Setups (SMED) -- 2.6 Uniform Production Level (UPL) -- 2.7 Quality Control (QC) -- 2.8 Total Productive Maintenance (TPM) -- 2.9 Supplier Networks (SUN) -- 2.10 Flexible Resources (FLR) -- 2.11 Inventory Minimization (INMI) -- References -- 3 Methodology -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Proposed Questionnaire -- 3.4 Final and Validated Questionnaire -- 3.5 Questionnaire Application to Industry -- 3.6 Data Capture and Debugging -- 3.7 Statistical Data Validation -- 3.8 Descriptive Analysis of Items -- 3.9 Structural Equation Model -- 3.9.1 Direct Effects -- 3.9.2 Sum of Indirect Effects and Total Effects -- 3.10 Sensitivity Analysis -- 3.11 Statistical Model Interpretation -- References -- 4 Model 1. Distribution and Maintenance -- 4.1 Model Variables and Validation -- 4.2 Descriptive Analysis -- 4.3 Hypotheses in the Model -- 4.4 Evaluation of the Structural Equation Model -- 4.4.1 Direct Effect and Effect Size -- 4.4.2 Sum of Indirect Effects -- 4.4.3 Total Effects -- 4.4.4 Sensitivity Analysis -- 4.5 Conclusions and Industrial Implications -- 4.5.1 From the Structural Equation Model -- 4.5.2 Conclusions of the Sensitivity Analysis | |
| 505 | 8 | |a Annex: Additional Data for Support Validation -- References -- 5 Model 2. Pull System and Quality Control -- 5.1 Model Variables and Their Validation -- 5.2 Descriptive Analysis of Items -- 5.3 Hypotheses in the Model -- 5.4 Structural Equation Model Evaluation -- 5.4.1 Direct Effects and Effect Sizes -- 5.4.2 Sum of Indirect Effects -- 5.4.3 Total Effects -- 5.4.4 Sensitivity Analysis -- 5.5 Conclusions and Industrial Implications -- 5.5.1 Conclusions from the Structural Equation Model -- 5.5.2 Conclusions from the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References -- 6 Model 3. Supplier Network and Inventory Minimization -- 6.1 Model Variables and Their Validation -- 6.2 Descriptive Analysis of the Items -- 6.3 Hypotheses in the Model -- 6.4 Evaluation of the Structural Equation Model -- 6.4.1 Direct Effects and Effect Sizes -- 6.4.2 Sum of Indirect Effects -- 6.4.3 Total Effects -- 6.4.4 Sensitivity Analysis -- 6.5 Conclusions and Industrial Implications -- 6.5.1 Conclusions of the Model -- 6.5.2 Conclusions of the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References -- 7 Model 4. Integrative Model -- 7.1 Model Variables and Their Validation -- 7.2 Hypotheses in the Model -- 7.3 Structural Equation Model Evaluation -- 7.3.1 Direct Effects and Effect Size -- 7.3.2 Sum of Indirect Effects -- 7.3.3 Total Effects -- 7.3.4 Sensitivity Analysis -- 7.4 Conclusions and Industrial Implications -- 7.4.1 Conclusions from the Structural Equation Model -- 7.4.2 Conclusions from the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References | |
| 650 | 4 | |a Lean manufacturing | |
| 650 | 4 | |a Production management | |
| 700 | 1 | |a García Alcaraz, Jorge Luis |e Sonstige |4 oth | |
| 700 | 1 | |a Morales García, Adrián Salvador |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Díaz-Reza, José Roberto |t Best Practices in Lean Manufacturing |d Cham : Springer International Publishing AG,c2022 |z 9783030977511 |
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| author_facet | Díaz-Reza, José Roberto |
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| author_sort | Díaz-Reza, José Roberto |
| author_variant | j r d r jrd jrdr |
| building | Verbundindex |
| bvnumber | BV048921015 |
| collection | ZDB-30-PQE |
| contents | Intro -- Preface -- Contents -- List of Figures -- List of Tables -- 1 Lean Manufacturing Origins and Concepts -- 1.1 What is Lean Manufacturing? -- 1.1.1 The LM House -- 1.2 Lean Manufacturing Origins -- 1.3 Enablers in LM Implementation -- 1.4 Barriers in LM Implementation -- 1.5 Lean Manufacturing: Some Applications -- 1.6 Lean Manufacturing Benefits -- 1.6.1 Operational Benefits -- 1.6.2 Social Benefits -- 1.6.3 Environmental Benefits -- 1.6.4 Economic Benefits -- 1.7 Problem Research and Objective -- References -- 2 Some Lean Manufacturing Tools -- 2.1 General Description of Lean Manufacturing -- 2.2 Cellular Layouts (CEL) -- 2.3 Pull System (PUS) -- 2.4 Small-Lot Production (SLP) -- 2.5 Quick Setups (SMED) -- 2.6 Uniform Production Level (UPL) -- 2.7 Quality Control (QC) -- 2.8 Total Productive Maintenance (TPM) -- 2.9 Supplier Networks (SUN) -- 2.10 Flexible Resources (FLR) -- 2.11 Inventory Minimization (INMI) -- References -- 3 Methodology -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Proposed Questionnaire -- 3.4 Final and Validated Questionnaire -- 3.5 Questionnaire Application to Industry -- 3.6 Data Capture and Debugging -- 3.7 Statistical Data Validation -- 3.8 Descriptive Analysis of Items -- 3.9 Structural Equation Model -- 3.9.1 Direct Effects -- 3.9.2 Sum of Indirect Effects and Total Effects -- 3.10 Sensitivity Analysis -- 3.11 Statistical Model Interpretation -- References -- 4 Model 1. Distribution and Maintenance -- 4.1 Model Variables and Validation -- 4.2 Descriptive Analysis -- 4.3 Hypotheses in the Model -- 4.4 Evaluation of the Structural Equation Model -- 4.4.1 Direct Effect and Effect Size -- 4.4.2 Sum of Indirect Effects -- 4.4.3 Total Effects -- 4.4.4 Sensitivity Analysis -- 4.5 Conclusions and Industrial Implications -- 4.5.1 From the Structural Equation Model -- 4.5.2 Conclusions of the Sensitivity Analysis Annex: Additional Data for Support Validation -- References -- 5 Model 2. Pull System and Quality Control -- 5.1 Model Variables and Their Validation -- 5.2 Descriptive Analysis of Items -- 5.3 Hypotheses in the Model -- 5.4 Structural Equation Model Evaluation -- 5.4.1 Direct Effects and Effect Sizes -- 5.4.2 Sum of Indirect Effects -- 5.4.3 Total Effects -- 5.4.4 Sensitivity Analysis -- 5.5 Conclusions and Industrial Implications -- 5.5.1 Conclusions from the Structural Equation Model -- 5.5.2 Conclusions from the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References -- 6 Model 3. Supplier Network and Inventory Minimization -- 6.1 Model Variables and Their Validation -- 6.2 Descriptive Analysis of the Items -- 6.3 Hypotheses in the Model -- 6.4 Evaluation of the Structural Equation Model -- 6.4.1 Direct Effects and Effect Sizes -- 6.4.2 Sum of Indirect Effects -- 6.4.3 Total Effects -- 6.4.4 Sensitivity Analysis -- 6.5 Conclusions and Industrial Implications -- 6.5.1 Conclusions of the Model -- 6.5.2 Conclusions of the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References -- 7 Model 4. Integrative Model -- 7.1 Model Variables and Their Validation -- 7.2 Hypotheses in the Model -- 7.3 Structural Equation Model Evaluation -- 7.3.1 Direct Effects and Effect Size -- 7.3.2 Sum of Indirect Effects -- 7.3.3 Total Effects -- 7.3.4 Sensitivity Analysis -- 7.4 Conclusions and Industrial Implications -- 7.4.1 Conclusions from the Structural Equation Model -- 7.4.2 Conclusions from the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References |
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| dewey-full | 658.5 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5 |
| dewey-search | 658.5 |
| dewey-sort | 3658.5 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV048921015 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:55:16Z |
| indexdate | 2024-07-10T09:49:54Z |
| institution | BVB |
| isbn | 9783030977528 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034185106 |
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| physical | 1 Online-Ressource (128 Seiten) |
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| publishDate | 2022 |
| publishDateSearch | 2022 |
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| publisher | Springer International Publishing AG |
| record_format | marc |
| series2 | SpringerBriefs in Applied Sciences and Technology Series |
| spelling | Díaz-Reza, José Roberto Verfasser aut Best Practices in Lean Manufacturing A Relational Analysis Cham Springer International Publishing AG 2022 ©2022 1 Online-Ressource (128 Seiten) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Applied Sciences and Technology Series Description based on publisher supplied metadata and other sources Intro -- Preface -- Contents -- List of Figures -- List of Tables -- 1 Lean Manufacturing Origins and Concepts -- 1.1 What is Lean Manufacturing? -- 1.1.1 The LM House -- 1.2 Lean Manufacturing Origins -- 1.3 Enablers in LM Implementation -- 1.4 Barriers in LM Implementation -- 1.5 Lean Manufacturing: Some Applications -- 1.6 Lean Manufacturing Benefits -- 1.6.1 Operational Benefits -- 1.6.2 Social Benefits -- 1.6.3 Environmental Benefits -- 1.6.4 Economic Benefits -- 1.7 Problem Research and Objective -- References -- 2 Some Lean Manufacturing Tools -- 2.1 General Description of Lean Manufacturing -- 2.2 Cellular Layouts (CEL) -- 2.3 Pull System (PUS) -- 2.4 Small-Lot Production (SLP) -- 2.5 Quick Setups (SMED) -- 2.6 Uniform Production Level (UPL) -- 2.7 Quality Control (QC) -- 2.8 Total Productive Maintenance (TPM) -- 2.9 Supplier Networks (SUN) -- 2.10 Flexible Resources (FLR) -- 2.11 Inventory Minimization (INMI) -- References -- 3 Methodology -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Proposed Questionnaire -- 3.4 Final and Validated Questionnaire -- 3.5 Questionnaire Application to Industry -- 3.6 Data Capture and Debugging -- 3.7 Statistical Data Validation -- 3.8 Descriptive Analysis of Items -- 3.9 Structural Equation Model -- 3.9.1 Direct Effects -- 3.9.2 Sum of Indirect Effects and Total Effects -- 3.10 Sensitivity Analysis -- 3.11 Statistical Model Interpretation -- References -- 4 Model 1. Distribution and Maintenance -- 4.1 Model Variables and Validation -- 4.2 Descriptive Analysis -- 4.3 Hypotheses in the Model -- 4.4 Evaluation of the Structural Equation Model -- 4.4.1 Direct Effect and Effect Size -- 4.4.2 Sum of Indirect Effects -- 4.4.3 Total Effects -- 4.4.4 Sensitivity Analysis -- 4.5 Conclusions and Industrial Implications -- 4.5.1 From the Structural Equation Model -- 4.5.2 Conclusions of the Sensitivity Analysis Annex: Additional Data for Support Validation -- References -- 5 Model 2. Pull System and Quality Control -- 5.1 Model Variables and Their Validation -- 5.2 Descriptive Analysis of Items -- 5.3 Hypotheses in the Model -- 5.4 Structural Equation Model Evaluation -- 5.4.1 Direct Effects and Effect Sizes -- 5.4.2 Sum of Indirect Effects -- 5.4.3 Total Effects -- 5.4.4 Sensitivity Analysis -- 5.5 Conclusions and Industrial Implications -- 5.5.1 Conclusions from the Structural Equation Model -- 5.5.2 Conclusions from the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References -- 6 Model 3. Supplier Network and Inventory Minimization -- 6.1 Model Variables and Their Validation -- 6.2 Descriptive Analysis of the Items -- 6.3 Hypotheses in the Model -- 6.4 Evaluation of the Structural Equation Model -- 6.4.1 Direct Effects and Effect Sizes -- 6.4.2 Sum of Indirect Effects -- 6.4.3 Total Effects -- 6.4.4 Sensitivity Analysis -- 6.5 Conclusions and Industrial Implications -- 6.5.1 Conclusions of the Model -- 6.5.2 Conclusions of the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References -- 7 Model 4. Integrative Model -- 7.1 Model Variables and Their Validation -- 7.2 Hypotheses in the Model -- 7.3 Structural Equation Model Evaluation -- 7.3.1 Direct Effects and Effect Size -- 7.3.2 Sum of Indirect Effects -- 7.3.3 Total Effects -- 7.3.4 Sensitivity Analysis -- 7.4 Conclusions and Industrial Implications -- 7.4.1 Conclusions from the Structural Equation Model -- 7.4.2 Conclusions from the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References Lean manufacturing Production management García Alcaraz, Jorge Luis Sonstige oth Morales García, Adrián Salvador Sonstige oth Erscheint auch als Druck-Ausgabe Díaz-Reza, José Roberto Best Practices in Lean Manufacturing Cham : Springer International Publishing AG,c2022 9783030977511 |
| spellingShingle | Díaz-Reza, José Roberto Best Practices in Lean Manufacturing A Relational Analysis Intro -- Preface -- Contents -- List of Figures -- List of Tables -- 1 Lean Manufacturing Origins and Concepts -- 1.1 What is Lean Manufacturing? -- 1.1.1 The LM House -- 1.2 Lean Manufacturing Origins -- 1.3 Enablers in LM Implementation -- 1.4 Barriers in LM Implementation -- 1.5 Lean Manufacturing: Some Applications -- 1.6 Lean Manufacturing Benefits -- 1.6.1 Operational Benefits -- 1.6.2 Social Benefits -- 1.6.3 Environmental Benefits -- 1.6.4 Economic Benefits -- 1.7 Problem Research and Objective -- References -- 2 Some Lean Manufacturing Tools -- 2.1 General Description of Lean Manufacturing -- 2.2 Cellular Layouts (CEL) -- 2.3 Pull System (PUS) -- 2.4 Small-Lot Production (SLP) -- 2.5 Quick Setups (SMED) -- 2.6 Uniform Production Level (UPL) -- 2.7 Quality Control (QC) -- 2.8 Total Productive Maintenance (TPM) -- 2.9 Supplier Networks (SUN) -- 2.10 Flexible Resources (FLR) -- 2.11 Inventory Minimization (INMI) -- References -- 3 Methodology -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Proposed Questionnaire -- 3.4 Final and Validated Questionnaire -- 3.5 Questionnaire Application to Industry -- 3.6 Data Capture and Debugging -- 3.7 Statistical Data Validation -- 3.8 Descriptive Analysis of Items -- 3.9 Structural Equation Model -- 3.9.1 Direct Effects -- 3.9.2 Sum of Indirect Effects and Total Effects -- 3.10 Sensitivity Analysis -- 3.11 Statistical Model Interpretation -- References -- 4 Model 1. Distribution and Maintenance -- 4.1 Model Variables and Validation -- 4.2 Descriptive Analysis -- 4.3 Hypotheses in the Model -- 4.4 Evaluation of the Structural Equation Model -- 4.4.1 Direct Effect and Effect Size -- 4.4.2 Sum of Indirect Effects -- 4.4.3 Total Effects -- 4.4.4 Sensitivity Analysis -- 4.5 Conclusions and Industrial Implications -- 4.5.1 From the Structural Equation Model -- 4.5.2 Conclusions of the Sensitivity Analysis Annex: Additional Data for Support Validation -- References -- 5 Model 2. Pull System and Quality Control -- 5.1 Model Variables and Their Validation -- 5.2 Descriptive Analysis of Items -- 5.3 Hypotheses in the Model -- 5.4 Structural Equation Model Evaluation -- 5.4.1 Direct Effects and Effect Sizes -- 5.4.2 Sum of Indirect Effects -- 5.4.3 Total Effects -- 5.4.4 Sensitivity Analysis -- 5.5 Conclusions and Industrial Implications -- 5.5.1 Conclusions from the Structural Equation Model -- 5.5.2 Conclusions from the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References -- 6 Model 3. Supplier Network and Inventory Minimization -- 6.1 Model Variables and Their Validation -- 6.2 Descriptive Analysis of the Items -- 6.3 Hypotheses in the Model -- 6.4 Evaluation of the Structural Equation Model -- 6.4.1 Direct Effects and Effect Sizes -- 6.4.2 Sum of Indirect Effects -- 6.4.3 Total Effects -- 6.4.4 Sensitivity Analysis -- 6.5 Conclusions and Industrial Implications -- 6.5.1 Conclusions of the Model -- 6.5.2 Conclusions of the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References -- 7 Model 4. Integrative Model -- 7.1 Model Variables and Their Validation -- 7.2 Hypotheses in the Model -- 7.3 Structural Equation Model Evaluation -- 7.3.1 Direct Effects and Effect Size -- 7.3.2 Sum of Indirect Effects -- 7.3.3 Total Effects -- 7.3.4 Sensitivity Analysis -- 7.4 Conclusions and Industrial Implications -- 7.4.1 Conclusions from the Structural Equation Model -- 7.4.2 Conclusions from the Sensitivity Analysis -- Annex: Additional Data for Support Validation -- References Lean manufacturing Production management |
| title | Best Practices in Lean Manufacturing A Relational Analysis |
| title_auth | Best Practices in Lean Manufacturing A Relational Analysis |
| title_exact_search | Best Practices in Lean Manufacturing A Relational Analysis |
| title_exact_search_txtP | Best Practices in Lean Manufacturing A Relational Analysis |
| title_full | Best Practices in Lean Manufacturing A Relational Analysis |
| title_fullStr | Best Practices in Lean Manufacturing A Relational Analysis |
| title_full_unstemmed | Best Practices in Lean Manufacturing A Relational Analysis |
| title_short | Best Practices in Lean Manufacturing |
| title_sort | best practices in lean manufacturing a relational analysis |
| title_sub | A Relational Analysis |
| topic | Lean manufacturing Production management |
| topic_facet | Lean manufacturing Production management |
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