Nowadays, enterprises create and develope several strategies for reaching maximum logistic quality level desired. One of this strategies is consolidation cargo. According to Çetinkaya (2003), there are two approaches: pure policies and integral policies. Pure consolidation politics satisfies customer needs without considering implications from other organization areas. Integral consolidation politics coordinate company’s decisions between all areas involved (procurement, production, sales, distribution, etc.) Boyaci and Gallego (Int J Prod Econ 77:95–111, 2002). This study presented a Facility Location Problem for a study case of a Mexican factory that imports raw material from European vendors in LCL (Less than a Container Load) shipments scheme. The premise states that a LCL is more expensive than a FCL (Full Container Load). Also, total lead time is higher. For minimizing the total transportation costs it is suggested to implement consolidation centers to gather the load from all suppliers into FCL shipments for the factory. Transit time port-to-port and cost for maintaining inventory play an important role in the decision. The problem is formulated as a mixed integer programming (MIP) model and the proposed scenarios for solving this study case are analyzed in order to propose final recommendations.

如今，企业创建并开发了几种策略来达到所需的最大物流质量水平。此策略之一是合并货物。根据Çetinkaya（2003），有两种方法：纯政策和整体政策。纯合并策略可以满足客户需求，而无需考虑其他组织领域的影响。整合整合政治协调公司在涉及的所有领域（采购，生产，销售，分销等）之间的决策（Boyaci和Gallego）（Int J Prod Econ 77：95-111，2002）。这项研究提出了一个墨西哥工厂的研究案例的设施选址问题，该工厂从欧洲供应商那里以拼箱形式（少于集装箱装载）的运输计划进口原材料。前提条件是，LCL比FCL（集装箱满载）贵。也，总交货时间较长。为了最大程度地降低总运输成本，建议建立整合中心以将所有供应商的负载收集到工厂的整箱货物中。港口到港口的运输时间和维持库存的成本在决定中起着重要作用。该问题被公式化为混合整数规划（MIP）模型，并分析了解决该研究案例的建议方案，以提出最终建议。