Abstract: Method and apparatus are disclosed for a system for keyless entry. An example vehicle includes a valet dongle, a dock configured to connect to the valet dongle; and a valet manager. The valet manager enables the valet dongle to authorize keyless entry and keyless ignition when (a) the valet dongle is removed from the dock while an ignition of the vehicle is on and (b) an authorized passcode is provided via an infotainment head unit.

Abstract: An explanation device operates to generate explanatory information for a user regarding the cause of any demands that could not be satisfied by an automated supply chain optimizer. The explanation device identifies the cause for any unsatisfied demands by successfully relaxing various supply chain constraints while controlling the supply chain optimizer to re-optimize the supply chain subject to the relaxed constraints. If a previously unsatisfied demand is satisfied during re-optimization by relaxing a given constraint, then that constraint is deemed to have been a factor in the original, unsatisfied demand. If so, explanatory information is output to the user regarding the constraint. The amount by which the constraint was originally violated during the initial optimization may also be determined and provided to the user as further explanatory information.

Abstract: Methods, systems and computer-implemented architectures are provided for performing supply chain planning. In one implementation, a system is provided that comprises a database configured to store master data descriptive of supply chain items, a model generator coupled to the database and configured to derive a master data-based core model representative of a supply chain planning problem, and a solver configured to translate the core model into a mathematical model and determine a solution to the mathematical model. In addition, the system may comprise a preprocessor configured to preprocess the core model by subjecting the core model to a set of rules to derive a preprocessed core model, wherein the solver establishes the mathematical model from the preprocessed core model.

Abstract: An automatic cost generation apparatus is provided for automatically converting user supplied definitions/requirements into cost parameters for use by a cost-based supply chain optimizer. In one example, this is achieved by generating a linear programming model that incorporates the requirements/definitions as a set of linear constraints. The linear programming model is automatically solved so as to yield a cost model, from which costs are extracted for use by the cost-based optimizer. By first formulating requirements/definitions as linear constraints within a linear programming model, the solution to the model therefore yields a cost model that satisfies the constraints, i.e. a cost model that satisfies the requirements. Hence, requirements/definitions initially provided by the user are thereby automatically converted into a cost model that incorporates costs that can be used during supply chain optimization.

Abstract: An explanation device operates to generate explanatory information for a user regarding the cause of any demands that could not be satisfied by an automated supply chain optimizer. The explanation device identifies the cause for any unsatisfied demands by successfully relaxing various supply chain constraints while controlling the supply chain optimizer to re-optimize the supply chain subject to the relaxed constraints. If a previously unsatisfied demand is satisfied during re-optimization by relaxing a given constraint, then that constraint is deemed to have been a factor in the original, unsatisfied demand. If so, explanatory information is output to the user regarding the constraint. The amount by which the constraint was originally violated during the initial optimization may also be determined and provided to the user as further explanatory information.

Abstract: Methods, systems and computer-implemented architectures are provided for performing supply chain planning. In one implementation, a system is provided that comprises a database configured to store master data descriptive of supply chain items, a model generator coupled to the database and configured to derive a master data-based core model representative of a supply chain planning problem, and a solver configured to translate the core model into a mathematical model and determine a solution to the mathematical model. In addition, the system may comprise a preprocessor configured to preprocess the core model by subjecting the core model to a set of rules to derive a preprocessed core model, wherein the solver establishes the mathematical model from the preprocessed core model.