Economic models for vendor evaluation with quality cost analysis
Management Science
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Optimal Commonality in Component Design
Operations Research
The Cost Effects of Component Commonality: A Literature Review Through a Management-Accounting Lens
Manufacturing & Service Operations Management
An integrated model for supplier selection decisions in configuration changes
Expert Systems with Applications: An International Journal
Vendor selection in outsourcing
Computers and Operations Research
A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Parameter control in evolutionary algorithms
IEEE Transactions on Evolutionary Computation
The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A hybrid approach for supplier cluster analysis
Computers & Mathematics with Applications
Selection of a dynamic supply portfolio in make-to-order environment withrisks
Computers and Operations Research
International Journal of Bio-Inspired Computation
A two-phase algorithm for product part change utilizing AHP and PSO
Expert Systems with Applications: An International Journal
A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting
Expert Systems with Applications: An International Journal
Clustering and selecting suppliers based on simulated annealing algorithms
Computers & Mathematics with Applications
Supplier selection in make-to-order environment with risks
Mathematical and Computer Modelling: An International Journal
Journal of Intelligent Manufacturing
Optimal apparel supplier selection with forecast updates under carbon emission taxation scheme
Computers and Operations Research
Computers and Industrial Engineering
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With limited capacity of suppliers, how to reduce the total operating cost of the enterprise by determining the most suitable production capacity allocation has become the major issue faced by various enterprises in producing multiple types of products. In addition, when manufacturing multiple types of products, due to the high demand of common and non-common parts, which is applicable to various products, enterprises will place special emphasis on the procurement of common and non-common parts, to select most suitable suppliers of parts with the highest quality and minimum time and costs, in order to cut down on operating costs of enterprises. This research first lists parts of various products through bill of material (BOM), and constructs an optimal mathematical model suitable for multi-phase products' parts, in order to assess the assembling relationship of various parts; it makes use of the linkage among those to select the supplier of common and non-common parts when assessing multiple products. Then considering the limited production capacity of suppliers, it selects the best combination of suppliers of special common and non-common parts. To solve the optimal mathematical model, a genetic algorithm (GA) is proposed to find the acceptable results of the supply selection and quantity allocation problem. It then provides a benchmark for enterprise in current diversified market to purchase and assess common and non-common parts, and makes such benchmark a normal standard for selection of suppliers in the future.