Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

126 results about "Relevant cost" patented technology

A relevant cost (also called avoidable cost or differential cost) is a cost that differs between alternatives being considered. It is often important for businesses to distinguish between relevant and irrelevant costs when analyzing alternatives because erroneously considering irrelevant costs can lead to unsound business decisions. Also, ignoring irrelevant data in analysis can save time and effort.

Method and apparatus for efficient handling of product return transactions

A method and apparatus for efficient handling of product returns to reduce associated costs. A computer system at a regional product return center scans a returned product for identifying information, accesses a manufacturer return approval computer system through the internet or the like, and then submits the identifying information to the manufacturer for return approval. The manufacturer computer system utilizes the identifying information to access an electronic registration database to determine whether the returned product satisfies applicable return criteria. If so, the product is approved for return to the manufacturer. The regional product return center preferably scans a plurality of returned products in a single session. In response to the product identifying information submitted by the regional product return center, the manufacturer provides a list of approved returns and unapproved returns, along with a return authorization number for the batch of approved returns. The regional product return center then assembles the approved product returns into a box, shipping pallet, or the like, applies a label indicating the return authorization label, and ships the batch to the manufacturer. Shipping costs can be saved by omitting rejected product returns from the shipment. The manufacturer can handle the approved product returns from the regional return center as a batch, thereby reducing costs.
Owner:E2INTERACTIVE INC D B A E2INTERACTIVE

Method and apparatus for efficient handling of product return transactions

A method and apparatus for efficient handling of product returns to reduce associated costs. A computer system at a regional product return center scans a returned product for identifying information, accesses a manufacturer return approval computer system through the internet or the like, and then submits the identifying information to the manufacturer for return approval. The manufacturer computer system utilizes the identifying information to access an electronic registration database to determine whether the returned product satisfies applicable return criteria. If so, the product is approved for return to the manufacturer. The regional product return center preferably scans a plurality of returned products in a single session. In response to the product identifying information submitted by the regional product return center, the manufacturer provides a list of approved returns and unapproved returns, along with a return authorization number for the batch of approved returns. The regional product return center then assembles the approved product returns into a box, shipping pallet, or the like, applies a label indicating the return authorization label, and ships the batch to the manufacturer. Shipping costs can be saved by omitting rejected product returns from the shipment. The manufacturer can handle the approved product returns from the regional return center as a batch, thereby reducing costs.
Owner:E2INTERACTIVE INC D B A E2INTERACTIVE

Method, system and computer program product for optimization of data compression

A sequence of n coefficients is compressed by determining a cost-determined sequence of n coefficient indices represented by a cost-determined sequence of (run, index derivative) pairs under a given quantization table and run-index derivative coding distribution, wherein each sequence of (run, index derivative) pairs defines a corresponding sequence of coefficient indices such that (i) each index in the corresponding sequence of coefficient indices is a digital number, (ii) the corresponding sequence of coefficient indices includes a plurality of values including a special value, and (iii) each (run, index derivative) pair defines a run value representing a number of consecutive indices of the special value, and an index-based value derived from a value of the index following the number of consecutive indices of the special value. This involves (a) using the given quantization table and run-index derivative coding distribution to formulate a cost function for a plurality of possible sequences of (run, index derivative) pairs; (b) applying the cost function to each possible sequence in the plurality of possible sequences of (run, index derivative) pairs to determine an associated cost; and, (c) selecting the cost-determined sequence of (run, index derivative) pairs from the plurality of possible sequences of (run, index derivative) pairs based on the associated cost of each of the plurality of possible sequences of (run, index derivative) pairs; and encoding the corresponding selected cost-determined sequence of (run, index derivative) pairs using entropy coding based on a run-index derivative coding distribution.
Owner:MALIKIE INNOVATIONS LTD

Method and apparatus for designing and manufacturing electronic circuits subject to process variations

Methods and apparatus are described in which, at design-time a thorough analysis and exploration is performed to represent a multi-objective “optimal” trade-off point or points, e.g. on Pareto curves, for the relevant cost (C) and constraint criteria. More formally, the trade-off points may e.g. be positions on a hyper-surface in an N-dimensional Pareto search space. The axes represent the relevant cost (C), quality cost (Q) and restriction (R) criteria. Each of these working points is determined by positions for the system operation (determined during the design-time mapping) for a selected set of decision knobs (e.g. the way data are organized in a memory hierarchy). The C-Q-R values are determined based on design-time models that then have to be “average-case” values in order to avoid a too worst-case characterisation. At processing time, first a run-time BIST manager performs a functional correctness test, i.e. checks all the modules based on stored self-test sequences and “equivalence checker” hardware. All units that fail are deactivated (so that they cannot consume any power any more) and with a flag the run-time trade-off controllers, e.g. Pareto controllers, are informed that these units are not available any more for the calibration or the mapping. At processing time, also a set of representative working points are “triggered” by an on-chip trade-off calibration manager, e.g. a Pareto calibration manager, that controls a set of monitors which measure the actual C-Q-R values and that calibrates the working points to their actual values. Especially timing monitors require a careful design because correctly calibrated absolute time scales have to be monitored.
Owner:INTERUNIVERSITAIR MICRO ELECTRONICS CENT (IMEC VZW)

Computer system and method for generating healthcare risk indices using medication compliance information

A healthcare risk index is generated using a patient or individual's pharmacy claims. The index may be used to explain and predict variation in pharmacy-related costs and variation in total healthcare costs or utilization. In particular, the index is generated by first examining the individual's pharmacy claims to identify any chronic conditions possessed by the individual. Similarly, the individual's pharmacy claims are examined to identify any compliance medications prescribed to the individual. The chronic condition information is used to generate a chronic condition score by summing regression coefficients for each chronic condition possessed by the individual. Likewise, the compliance medication information is used to generate a compliance medication score by summing products of regression coefficients for each compliance medication prescribed to the individual with associated medication supply weights. From there, a modified chronic condition score is generated by multiplying the chronic condition score by an overall chronic condition regression coefficient. The modified chronic condition score may then be further modified by subtracting a no-claims weight from the chronic condition score in cases where the individual has no pharmacy claims. Finally, the risk index may be determined by summing the modified chronic condition score and the compliance medication score.
Owner:EXPRESS SCRIPTS STRATEGIC DEV INC

Computer system and method for generating healthcare risk indices using medication compliance information

A healthcare risk index is generated using a patient or individual's pharmacy claims. The index may be used to explain and predict variation in pharmacy-related costs and variation in total healthcare costs or utilization. In particular, the index is generated by first examining the individual's pharmacy claims to identify any chronic conditions possessed by the individual. Similarly, the individual's pharmacy claims are examined to identify any compliance medications prescribed to the individual. The chronic condition information is used to generate a chronic condition score by summing regression coefficients for each chronic condition possessed by the individual. Likewise, the compliance medication information is used to generate a compliance medication score by summing products of regression coefficients for each compliance medication prescribed to the individual with associated medication supply weights. From there, a modified chronic condition score is generated by multiplying the chronic condition score by an overall chronic condition regression coefficient. The modified chronic condition score may then be further modified by subtracting a no-claims weight from the chronic condition score in cases where the individual has no pharmacy claims. Finally, the risk index may be determined by summing the modified chronic condition score and the compliance medication score.
Owner:EXPRESS SCRIPTS STRATEGIC DEV INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products