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Abstract-Warehouse put-away and storage operation is one of the typical internal operations in a warehouse or a distribution center, alongside receiving, picking, packing and shipping. Under today's e-commerce business environment, logistics practitioners are required to efficiently handle e-commerce shipments in warehouses. However, owing to the fundamental differences in the order nature and handling requirements between traditional orders and e-commerce orders, logistics service providers are struggled to handle e-commerce shipments competently. In this paper, a knowledge-based wave put-away decision support system is proposed, which incorporates cloud database for realtime data update and retrieval, and case-based reasoning technique for generating put-away solutions for e-commerce orders based on historical put-away knowledge. The proposed system is validated through a pilot study in a case company. The efficiency of order put-away operation is enhanced by grouping fragmented e-commerce orders at the inbound for performing put-away operations in a wave pattern, which enables logistics practitioners to yield cost-saving and operating efficiency in ecommerce order handling.

Extended Enterprise (E2) and its benefits have been widely discussed while the discussion on extending implications of E2 for technological exploitation is limited. To bring the concept of E2 into the design and development of Inter-organizational System (IOS), information technologies do take an indispensable role in pursuing seamless information exchange, business processes automation, resilient job dispatching and fulfillment amongst enterprises. This paper articulates the conceptual design of Autonomous Agent Enhanced Workspace (AAEW) as one of the technology enablers to support inter-organization collaborations in an E2 context.