The Evaluation of Module Division Programme Based on Information Entropy

Abstract

Firstly, analysis product’s customer demand correlation, function correlation, geometric correlation, structure the corresponding correlation matrix, distribute the respective weighting factor, and then establish an integrated correlation matrix. Application of fuzzy clustering, the establishment of cluster map, the program has been divided into different modules. Based on information entropy theory, select product’s design and manufacturing complexity, cost, maintenance as the optimization objective, establish mathematical evaluation model of module division. Evaluating a number of options get from the fuzzy clustering method, which gain the most reasonable module division program. Finally, taking the seat frame of the Remote Control Weapon Station(RCWS) for example, verify the validity and reasonableness of the evaluation method.

Development of a paper-bag-folding machine using open architecture for adaptability

“…37 The module division can be evaluated based on the information entropy. 38 The product cost can be evaluated for different module sizes and levels. 39 An optionpricing method has been used to plan the modules to add, reject, and merge to form different configurations at each stage of the module introduction processes.…”