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Soft computing in inventory management / / Nita H. Shah, Mandeep Mittal, editors



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Titolo: Soft computing in inventory management / / Nita H. Shah, Mandeep Mittal, editors Visualizza cluster
Pubblicazione: Singapore : , : Springer, , [2021]
©2021
Descrizione fisica: 1 online resource (228 pages)
Disciplina: 658.787
Soggetto topico: Inventory control - Mathematical models
Soft computing
Persona (resp. second.): ShahNita H.
MittalMandeep <1978->
Nota di contenuto: Intro -- Contents -- Editors and Contributors -- Retailer's Optimal Ordering Policy Under Supplier Credits When Demand is Fuzzy and Cloud Fuzzy -- 1 Introduction -- 2 Notations and Assumptions -- 2.1 Notations -- 2.2 Assumptions -- 3 Preliminary Concepts -- 3.1 Triangular Fuzzy Number (TFN) -- 3.2 2α- Cut of TFN -- 3.3 Cloud Triangular Fuzzy Number (CTFN) -- 3.4 Left and Right 2α- cut of CTFN -- 3.5 Yager's Ranking Index Method (1981) -- 3.6 Yager's Ranking Index Method for CTFN -- 4 Mathematical Modelling -- 4.1 Formulation of Fuzzy Mathematical Model -- 4.2 Formulation of Cloud Fuzzy Mathematical Model -- 5 Numerical Analysis and Proof of Convexity -- 6 Sensitivity Analysis -- 7 Conclusion and Future Scope -- References -- An Application of PSO to Study Joint Policies of an Inventory Model with Demand Sensitive to Trade Credit and Selling Price While Deterioration of Item Being Controlled Using Preventive Technique -- 1 Introduction -- 2 Notation and Assumptions -- 2.1 Notation -- 2.2 Assumptions -- 3 Mathematical Model -- 3.1 Retailer's Total Profit Per Unit Time -- 3.2 Manufacturer Total Profit Per Unit Time -- 3.3 Joint Profit of Supply Chain -- 4 Solution Procedure -- 5 Numerical Examples -- 6 Sensitivity Analysis -- 7 Conclusion -- References -- Optimization of the Berth Allocation Problem to the Vessels Using Priority Queuing Systems -- 1 Introduction -- 2 Problem Description -- 3 Mathematical Model -- 3.1 Assumptions -- 4 Experimental Results and Discussion -- 5 Conclusions -- References -- Fuzzy Inventory Model for Deteriorating Items in a Supply Chain System with Time Dependent Demand Rate -- 1 Introduction -- 2 Assumptions and Notations -- 3 Mathematical Model -- 4 Numerical Example -- 5 Sensitivity Analysis -- 6 Conclusion -- References -- Credit Financing in a Two-Warehouse Inventory Model with Fuzzy Deterioration and Weibull Demand.
1 Introduction -- 2 Literature Study -- 3 Prelimineries -- 4 Assumptions and Notation -- 4.1 Assumptions -- 4.2 Notation -- 5 Mathematical Model -- 5.1 Crisp Model -- 6 Fuzzy Model -- 6.1 Case 1: M leqtw leqT -- 6.2 Case 2: tw < -- M leqT -- 6.3 Case 3: M > -- T -- 7 Numerical Examples -- 7.1 Crisp Model Versus Fuzzy Model -- 8 Sensitivity Analysis -- 9 Conclusion -- 10 Managerial Insights -- References -- Two-Warehouse Inventory of Sugar Industry Model for Deteriorating Items with Inflation Using Differential Evolution -- 1 Introduction -- 2 Related Works -- 3 Assumptions and Notations -- 4 Formulation and Solution of the Model -- 5 Evolutionary Algorithms -- 6 Numerical Illustration -- 7 Sensitivity Analysis -- 8 Conclusion -- References -- A Stackelberg Game Approach in Supply Chain for Imperfect Quality Items with Learning Effect in Fuzzy Environment -- 1 Introduction -- 2 Notations -- 2.1 Assumptions -- 2.2 Some Definitions -- 3 Mathematical Crisp Models -- 3.1 Buyer's Model -- 3.2 Seller's Model -- 3.3 The Non-cooperative Stackelberg Game Theory Approach -- 4 Mathematical Fuzzy Model -- 4.1 Buyer's Fuzzy Model -- 4.2 Seller's Fuzzy Model -- 4.3 Seller's Stackelberg Fuzzy Model -- 4.4 The Buyer's Stackelberg Fuzzy Model -- 5 Numerical Examples -- 6 Sensitivity Analysis -- 6.1 Effect of Learning on the Player's Profit -- 6.2 Fuzzy Seller-Stackelberg -- 7 Observations -- 8 Conclusions -- References -- An Analytic and Genetic Algorithm Approach to Optimize Integrated Production-Inventory Model Under Time-Varying Demand -- 1 Introduction -- 2 Notations and Assumptions -- 2.1 Notations -- 2.2 Assumptions -- 3 Model Formulation -- 3.1 Manufacturer's Total Cost -- 3.2 Retailer's Total Cost -- 3.3 Joint Total Cost -- 4 Computational Algorithm -- 4.1 Analytical Approach -- 4.2 Genetic Algorithm Approach.
5 Numerical Example and Sensitivity Analysis -- 5.1 Numerical Example -- 6 Conclusion -- References -- Sustainable Inventory Model with Carbon Emission Dependent Demand Under Different Carbon Emission Policies -- 1 Introduction -- 2 Assumptions and Notations -- 3 Mathematical Model -- 4 Solution Procedure -- 5 Numerical Examples -- 6 Sensitivity Analysis -- 7 Conclusion -- References -- Impact of Two Different Trade Credits Options on a Supply Chain with Joint and Independent Decision Under Trapezoidal Demand -- 1 Introduction -- 1.1 Notation -- 1.2 Assumptions -- 2 Mathematical Model -- 2.1 Supplier's Model -- 2.2 Retailer's Model -- 3 Joint and Independent Decision -- 3.1 Joint Decision -- 3.2 Independent Decision -- 4 Numerical Examples -- 5 Sensitivity Analysis -- 6 Conclusions -- References -- A Coordinated Single-Vendor Single-Buyer Inventory System with Deterioration and Freight Discounts -- 1 Introduction -- 2 Notations and Assumptions -- 2.1 Notations -- 2.2 Assumptions -- 3 Mathematical Model Formulation -- 4 Numerical Example and Sensitivity Analysis -- 4.1 Numerical Analysis -- 5 Sensitivity Analysis and Conclusion -- References.
Titolo autorizzato: Soft Computing in Inventory Management  Visualizza cluster
ISBN: 981-16-2156-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910495216803321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Inventory optimization.