Approximate analysis of open networks of queues with blocking: Tandem configurations
IEEE Transactions on Software Engineering
Push and pull production systems: issues and comparisons
Operations Research
Structural properties and a heuristic for kanban-controlled serial lines
Management Science
Design of bi-criteria Kanban system using simulated annealing technique
Computers and Industrial Engineering
Evaluation of knowledge management tools using AHP
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Risk evaluation of boiler tube using FMEA
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Journal of Intelligent Manufacturing
Token-based pull production control systems: an introductory overview
Journal of Intelligent Manufacturing
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A multistage serial production system is considered in the present paper. A generalized model has been developed with the use of probabilistic demand situations for the end product. The demand situations considered are binomial, exponential, lognormal and Poisson. These demand patterns are used as input parameter for various production control policies. The output values for performance parameters are obtained by simulation. The production policies analyzed are Kanban, CONWIP and Hybrid as alternatives for controlling the engineering manufacture. In the presence of several performance measures, it often becomes difficult for the management to select the most appropriate policy. Analytic hierarchy process (AHP) has been implemented for the purpose of selection. Computational results have been reported along with the sensitivity analysis after designing and conducting various experiments.