Abstract
Abstract In this research, a new two-echelon model has been presented to control the inventory of perishable goods. The performance of the model lies in a supply chain and is based on real conditions and data. The main purpose of the model is to minimize the maintenance cost of the entire chain. However, if the good is perished before reaching the customer (the expiration date is over), the cost would be added to other costs such as transportation, production, and maintenance costs in the target function. As real conditions are required, some limitations such as production time, storage capacity, inventory level, transportation methods, and sustainability time are considered in the model. Also, due to the complexity of the model, the solution approach is based on genetic algorithm under MATLAB to solve and confirm the accuracy of the model’s performance. As can be noted, the manipulation of parametric figures can solve the problem of reaching the optimum point. Using real data from a food production facility, the model was utilized with the same approach and the obtained results confirm the accuracy of the model.
Highlights
Most manufacturing systems inevitably maintain some quantities of their products under their inventories in order to respond to customers’ needs appropriately and to prevent extra costs
Inventory control and maintenance is a common problem for most factories, especially for those organizations that are involved in a supply chain
This study intends to present a model for managing short-lived products requiring a two-echelon inventory control
Summary
Most manufacturing systems inevitably maintain some quantities of their products under their inventories in order to respond to customers’ needs appropriately and to prevent extra costs. To decide about finding directions and specifying the ordering quantity of warehouses to production centers, an object-oriented planning approach based on genetic algorithm had been taken so that the total logistic costs could be minimized In this case, all demands should be satisfied; there are some limitations on travel time, capacity, speed, type, and number of transportation means (Hwang 2002). Zhou and Min (2002) have designed a supply chain network which balanced the transportation cost and service level in the best manner in which the working load given to all distribution centers are identical This caused the decrease of shortage in warehouse inventories, the postponed orders, and the delay in responding to the customers’ needs; at the same time, the loading and usage rates of distribution centers are increased. Describing the relations The first relation is the objective function of the proposed model which includes the total transportation costs of goods from the original factory to the applicant factory, the production cost of goods in the original factory including fixed and variable costs of factory for each production unit, the maintenance costs of inventory in the original factory warehouse, the resulted costs from delayed delivery or earlier delivery of order to the applicant factories, and the resulted costs from perishing the goods in the original factory warehouse
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