Manufacturing flexibility: a strategic perspective
Management Science
A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
International Journal of Systems Science
Expert Systems with Applications: An International Journal
A combined fuzzy AHP-goal programming approach to assembly-line selection
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A hybrid approach to concept selection through fuzzy analytic network process
Computers and Industrial Engineering
Product mix problems considering several probabilistic conditions and flexibility of constraints
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Evaluation and management of new service concepts: An ANP-based portfolio approach
Computers and Industrial Engineering
Designing a model of FANP in brand image decision-making
Applied Soft Computing
Personnel selection using analytic network process and fuzzy data envelopment analysis approaches
Computers and Industrial Engineering
Hi-index | 0.00 |
Flexibility has been widely recognized as a key competitive factor for manufacturing firms coping with the increasingly turbulent manufacturing environment today. Establishing a flexible surface mount assembly (SMA) system is critical for organizations to achieve a cost-effective assembly and gain competitive advantages in the printed circuit board (PCB) assembly industry. To find a practicable operating strategy, a multi-criteria decision-making framework that combines the analytic network process (ANP) with the consistent fuzzy preference relations (CFPR) is proposed to explore the interrelationships among the six dimensions and twenty-one criteria of manufacturing flexibility and resolve the uncertainty and divergence between decision-makers with the least amount of pairwise comparisons. Based on the results of prior analysis, an optimum configuration of a flexible SMA system is suggested for the capacity investment intended by a Taiwan electronics manufacturing service (EMS) provider to quickly respond to dynamic production requirements.