Abstract: Inventory is managed to minimize the footprint of storage spaces affected by variable production volumes and high inventory turnover. A warehouse includes a plurality of storage spaces for storage of items in the inventory. In response to receiving a request to store or retrieve a particular item, a recommended storage space in the warehouse can be determined for the particular item. The determination can be at least partially based on one or more user-defined facts, one or more user-defined rules, and a current state of the warehouse at the time the item location request is received. The user-defined facts can relate to an item, the inventory, the plurality of storage spaces, and/or the warehouse. The user-defined rules can be configured to dynamically assign storage spaces to the warehouse based at least partially on user-defined indications of how items will be consumed during a workflow performed within the warehouse.

Abstract: Inventory is managed to minimize the footprint of storage spaces affected by variable production volumes and high inventory turnover. A warehouse includes a plurality of storage spaces for storage of items in the inventory. In response to receiving a request to store or retrieve a particular item, a recommended storage space in the warehouse can be determined for the particular item. The determination can be at least partially based on one or more user-defined facts, one or more user-defined rules, and a current state of the warehouse at the time the item location request is received. The user-defined facts can relate to an item, the inventory, the plurality of storage spaces, and/or the warehouse. The user-defined rules can be configured to dynamically assign storage spaces to the warehouse based at least partially on user-defined indications of how items will be consumed during a workflow performed within the warehouse.

Abstract: A method and system for optimizing the manufacturing workforce and reducing workforce boredom in an assembly plant is provided. A master database contains all the plant workers along with all of the assembly tasks required to be performed at the assembly plant for a predetermined period, a repetitive threshold value for each worker, and a burden value for each assembly task. Each worker is assigned to a particular assembly task based upon the attributes of the worker and the assembly task requirements. A first schedule is generated by matching assembly tasks to a worker. The first schedule is then used to generate a second schedule such that workers do not exceed a repetitive value threshold or a burden value threshold. Thus the method and system generates schedules such that workers are given a variety of assembly tasks and therefore are not bored by performing the same task repetitively.

Abstract: A method and system for optimizing the manufacturing workforce and reducing workforce boredom in an assembly plant is provided. A master database contains all the plant workers along with all of the assembly tasks required to be performed at the assembly plant for a predetermined period, a repetitive threshold value for each worker, and a burden value for each assembly task. Each worker is assigned to a particular assembly task based upon the attributes of the worker and the assembly task requirements. A first schedule is generated by matching assembly tasks to a worker. The first schedule is then used to generate a second schedule such that workers do not exceed a repetitive value threshold or a burden value threshold. Thus the method and system generates schedules such that workers are given a variety of assembly tasks and therefore are not bored by performing the same task repetitively.