The bullwhip effect is defined as the distortion of demand information as one moves upstream in the supply chain, causing severe inefficiencies in the whole supply chain. Although extensive research has been conducted to study the causes of the bullwhip effect and seek mitigation solutions with respect to several demand processes, less attention has been devoted to the ...

The level of a service and its cost have a trade-off relation in the supply chain, but most companies aim to achieve both quality service and low cost at the same time by means of effective supply chain management. In an effort to achieve this goal, many researches have been made to minimize the uncertainties related to the supply chain through its effective design and operation. It is notewort...

Vendor managed inventory (VMI) is an integrated approach for buyer–vendor coordination, according to which the vendor (supplier or manufacturer) decides on the appropriate buyer’s (retailer’s) inventory levels. The time value of money has not traditionally been considered in evaluating VMI supply chain’s total inventory cost in any studies up to now. Therefore, in the present study a new model ...

The multi-objective optimization for a multi-product multi-period four-echelon supply chain network consisting of manufacturing plants, distribution centers (DCs) and retailers each with uncertain services and uncertain customer nodes are aimed in this paper. The two objectives are minimization of the total supply chain cost and maximization of the average number of products dispatched to custo...

In this paper, a new multi-objective integer non-linear programming model is developed for designing citrus three-echelon supply chain network. Short harvest period, product specifications, high perished rate, and special storing and distributing conditions make the modeling of citrus supply chain more complicated than other ones. The proposed model aims to minimize network costs includin...

In this paper, a multi-objective multi-period multi-product supply chain network design problem is introduced. This problem is modeled using a multi-objective mixed integer mathematical programming. The objectives are maximizing the total profit of logistics, maximizing service level, and minimizing inconsistency of operations. Several sets of constraints are considered to handle the real situa...

Although supply chain (SC) has gained increasing attention in the last two decades and numerous SC problems have been identified and solved, there is a lack of systematic approach to solve SC problems in an uncertain environment. Since past data are not always available or reliable due to market durbulance, the sources of uncertainty (e.g. lead time, demand rate, inventory costs and backorder c...

Manufacturing managers face increasing pressure to reduce inventories across the supply chain. However, in complex supply chains, it is not always obviouswhere to hold safety stock to minimize inventory costs and provide a high level of service to the final customer. In this paper we develop a framework for modeling strategic safety stock in a supply chain that is subject to demand or forecast ...