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Abstrak :
Automation in warehouse development addresses both types of automation from the innovative perspective of applied science. In particular, it describes the outcomes of the Falcon project, a joint endeavour by a consortium of industrial and academic partners. The results include a model-based approach to automate warehouse control design, analysis models for warehouse design, concepts for robotic item handling and computer vision, and autonomous transport in warehouses. Automation in Warehouse Development is targeted at both academic researchers and industrial practitioners. It provides state-of-the art research on warehouse automation and model-based warehouse design. These topics have been addressed from a systems engineering perspective by researchers from different disciplines including software, control, and mechanical engineering, with a clear focus on the industrial applications of their research.

Abstrak :
With increased globalization and offshore sourcing, global supply chain management is becoming an important issue for many businesses as it involves a company's worldwide interests and suppliers rather than simply a local or national orientation. The storage systems significantly affect the level of quality of products, the customer's service level, and the global logistic cost. The mission of warehousing systems design, control and optimization is to effectively ship products in the right place, at the right time, and in the right quantity (i.e. in any configuration) without any damages or alterations, and minimizing costs.

Abstrak :
Universitas Terbuka (UT) was implementing the centralized distribution of learning material, it is not considered effisient. Therefore, the decentralized distribution system which required warehouses at certain regional offices will be proposed. The aims of this research are (1) investigating the decentralized learning material distribution model, (2) choosing the optimal location of warehouses to minimize the cost of learning material distribution, (3) choosing the rgional offices which will be served optimally by each warehouse, (4) comparing efficiency of the centralized and decentralized learning material distribution system. The distribution problem is modeled as a linear mixed integer programming problem. The model will be solved using Branch and Bound method. This study considers centralized learning material distribution system and two alternative of decentralized learning material distribution system, which are alternative 1 and alternative 2. It is found that in 2008 the cost of the alternative 2 is lower than the centralized learning distribution system. Besides, if the demand of learning material is increasing, the alternative 2 is still less costly than the other systems.