holding cost
A two-storage model for deteriorating items with holding cost under inflation and Genetic Algorithms
8
TWO-WAREHOUSE INVENTORY MODEL WITH TIME DEPENDENT DEMAND AND VARIABLE HOLDING COST
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EPQ Policies Considering the Holding Cost of Raw Materials under Conditions of Two Level Trade Credit and Limited Storage Capacity
23
An Inventory Model for Solving Two Stage Supply Chain using Fuzzy Costs with Shortage
9
Electronic Components Inventory Model for Deterioration Items with Distribution Centre using Genetic Algorithm
11
Optimal inventory model with single item under various demand conditions
12
Design of Worker Assignment in a Dynamic Cellular Manufacturing System by Meta-heuristic Algorithms
8
Fuzzy Optimization Technique in EOQ Model Using Nearest Interval Approximation Method
8
An EOQ Model for Weibull Deteriorating Items with Linear Demand and Partial Backlogging in Fuzzy Environment
13
A Novel Continuous KNN Prediction Algorithm to Improve Manufacturing Policies in a VMI Supply Chain
10
A fuzzy mixture two warehouse inventory model with Linear Demand
7
Critical Analysis of Implementation of Just-In-Time in an Industry
14
COORDINATING SUPPLY CHAIN INVENTORIES IN MULTI-ECHELON NETWORKS
15
An artificial neural network model for optimization of finished goods inventory Pages 431-438 Download PDF
8
EOQ Model with Partial Backordering for Imperfect Items under the Effect of Inflation and Learning with Selling Price Dependent Demand
7
Retail-Chain Multi-Item Optimization: A Mixed Integer Non-Linear (MINL) Heuristic ApproachAuthor(s): Monalisha Pattnaik and Padmabati Gahan
17
Determination of Optimal Supply When Demand Is a Sum of Components
7
Fuzzy EOQ Model for Time-Deteriorating Items Using Penalty Cost
8
Integrated batch production and maintenance scheduling for multiple items processed on a deteriorating machine to minimize total production and maintenance costs with due date constraint Pages 229-244 Download PDF
16
Integrated supply chain model in deteriorating inventory items and waste reduction contemplations through jit with fuzzy approach
13