Best practices in lean manufacturing : a relational analysis / / José Roberto Díaz-Reza, Jorge Luis García Alcaraz, and Adrián Salvador Morales García

• Autore: Díaz-Reza José Roberto
• Pubblicazione: Cham, Switzerland : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (128 pages)
• Disciplina: 658.5
• Soggetto topico: Lean manufacturing; Production management
• Persona (resp. second.): García-AlcarazJorge Luis; Morales GarcíaAdrián Salvador
• Nota di contenuto: 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.
• Titolo autorizzato: Best practices in lean manufacturing
• ISBN: 3-030-97752-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910553073403321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Applied Sciences and Technology