Arrow Cost Accounting for Complex Production Variance Analysis
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Solution Overview
Problem
Conventional cost accounting methods, such as job costing and process costing, fail to provide accurate results in complex production situations involving material impairment, additional material introduction, and multiple material types, especially when production data is insufficient and lead time is a factor.
Innovation Solution
A product manufacturing cost accounting program that uses a computer to perform cost accounting by referencing cost accounting space data defined by a coordinate system with a processing progress axis, processing work introduction amount functions, and actual cost data, calculating material and processing work conversion amounts, and distributing costs along arrow paths in a cost accounting space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If job costing is used to measure resource amount for accurate cost accounting, then manufacturing precision of cost accounting is improved, but device complexity and data collection requirements increase significantly
Solution Approach 1:
The patent segments the continuous production process into discrete work orders and material lots, allowing cost tracking at a manageable granular level without requiring comprehensive data collection for every individual item. This segmentation enables accurate cost accounting by focusing on representative samples rather than exhaustive tracking.
Solution Approach 2:
The patent introduces an intermediary statistical model that bridges the gap between limited collected data and comprehensive cost accounting requirements. This intermediary layer uses sampling and statistical inference to derive accurate cost information without requiring direct measurement of all production elements.
2Ease of operation
If process costing with simpler data is used, then ease of operation is improved, but manufacturing precision of cost accounting deteriorates in complex production situations
Solution Approach 1:
The patent implements a dynamic cost accounting system that adapts its complexity based on production situation complexity. For simple productions, it uses straightforward process costing; for complex productions involving material impairment or multiple material types, it automatically applies more sophisticated job costing methodologies with appropriate data collection requirements.
Solution Approach 2:
The system changes key parameters such as the level of data collection granularity and the complexity of cost allocation methods based on the detected complexity of the production situation. This allows the system to maintain ease of operation for simple cases while achieving high precision for complex cases.
3Ease of operation
If conventional variance analysis is performed without considering lead time, then ease of operation is improved, but manufacturing precision of variance analysis deteriorates when material impairment over time is involved
Solution Approach 1:
The patent performs preliminary analysis of production characteristics to determine whether lead time considerations are necessary before conducting variance analysis. When material impairment over time is identified as a significant factor, the system proactively applies time-adjusted variance analysis methods, preventing inaccurate conclusions that would result from conventional approaches.
Data Source
AI summary
The “arrow cost accounting” proposed in this application is constructed so that an accounting system for job costing can be applied to more general production data. Based on collected production data and cost data, a cost accounting result precisely corresponding to a procedure of a processing work is obtained. A product manufacturing cost accounting program causes a computer to perform product manufacturing cost accounting. The computer is caused to: refer to: 1) cost accounting space data defined by a coordinate space comprising a degree of processing progress axis; 2) processing work introduction amount function data as an introduction condition for the processing work; 3) present term production data as a production situation within a cost accounting target period; and 4) present term actual cost data as a cost generation situation within the given cost accounting target period stored in a memory; read the cost accounting space data and the present term production data; perform a step of calculating an arrow that connects an input node and an output node based on an inputted matching and a material amount on an arrow path as a material amount on a path of the arrow; read the processing work introduction amount function data and material amount data on the arrow path to calculate a processing work conversion amount and a material introduction conversion amount if a solution matching is found in the step of calculating the material amount on the arrow path; and perform a step of reading the present term actual cost data, the processing work conversion amount, and the material introduction conversion amount, distributing costs to the arrows, and outputting the costs distributed to the arrows.