Abstract: A binary tree structure for detecting inventory problems. A first embodiment detects on-hand inventory problems. A second embodiment detects inventory requirements problems. Both embodiments use a binary tree whose nodes store time values and delta values. The delta values represent inventory consumers or producers. The time values of trees used for inventory requirements problems are shifted in accordance with build-ahead times.

Abstract: A binary tree structure for detecting inventory problems. A first embodiment detects on-hand inventory problems. A second embodiment detects inventory requirements problems. Both embodiments use a binary tree whose nodes store time values and delta values. The delta values represent inventory consumers or producers. The time values of trees used for inventory requirements problems are shifted in accordance with build-ahead times.

Abstract: A binary tree structure for detecting inventory problems. A first embodiment detects on-hand inventory problems. A second embodiment detects inventory requirements problems. Both embodiments use a binary tree whose nodes store time values and delta values. The delta values represent inventory consumers or producers. The time values of trees used for inventory requirements problems are shifted in accordance with build-ahead times.

Abstract: A binary tree structure for detecting inventory problems. A first embodiment detects on-hand inventory problems. A second embodiment detects inventory requirements problems. Both embodiments use a binary tree whose nodes store time values and delta values. (FIG. 2). The delta values represent inventory consumers or producers. (FIG. 6). The time values of trees used for inventory requirements problems are shifted in accordance with build-ahead times. (FIG. 6).

Abstract: A binary tree structure for detecting inventory problems. A first embodiment detects on-hand inventory problems. A second embodiment detects inventory requirements problems. Both embodiments use a binary tree whose nodes store time values and delta values. The delta values represent inventory consumers or producers. The time values of trees used for inventory requirements problems are shifted in accordance with build-ahead times.

Abstract: A binary tree structure for detecting inventory problems. A first embodiment detects on-hand inventory problems. A second embodiment detects inventory requirements problems. Both embodiments use a binary tree whose nodes store time values and delta values. The delta values represent inventory consumers or producers. The time values of trees used for inventory requirements problems are shifted in accordance with build-ahead times.

Abstract: A tool for installing a wire nut connector onto at least two wires includes an injection molded device having an orifice arranged on a distal face of the device for accepting a wire nut. This wire nut orifice includes a through opening and a plurality of curved regions arranged therein for contacting ridges on an exterior of the wire nuts during installation and removal. Pairs of stepped shoulders are arranged within the wire nut orifice for accepting wings on an exterior of the wire nuts. In a first embodiment, the tool includes a rotating handle. In a second embodiment the device includes a square opening on the proximal face for accepting an end of a ratcheting drive.

Abstract: A binary tree structure for detecting inventory problems. A first embodiment detects on-hand inventory problems. A second embodiment detects inventory requirements problems. Both embodiments use a binary tree whose nodes store time values and delta values. The delta values represent inventory consumers or producers. The time values of trees used for inventory requirements problems are shifted in accordance with build-ahead times.

Abstract: A binary tree structure for detecting inventory problems. A first embodiment detects on-hand inventory problems. A second embodiment detects inventory requirements problems. Both embodiments use a binary tree whose nodes store time values and delta values. (FIG. 2). The delta values represent inventory consumers or producers. (FIG. 6). The time values of trees used for inventory requirements problems are shifted in accordance with build-ahead times. (FIG. 6).

Abstract: A binary tree structure for detecting inventory problems. A first embodiment detects on-hand inventory problems. A second embodiment detects inventory requirements problems. Both embodiments use a binary tree whose nodes store time values and delta values. (FIG. 2). The delta values represent inventory consumers or producers. (FIG. 6). The time values of trees used for inventory requirements problems are shifted in accordance with build-ahead times. (FIG. 6).

Abstract: A method of using a binary tree data structure to represent a time-varying variable, and to solve queries about the variable. The tree is especially useful for solving “find” type queries, such as “What is the earliest/latest time when a minimum of y units are on hand?” The binary tree is comprised of delta nodes that store delta values, that is, changes in the value of the variable. A delta value may be an “override” value, which represents a predetermined change in value of the function, such as a capacity value of a resource that is periodically replenished.