Profit maximization of a kanban-based supply chain

In this paper, we propose a stochastic method to model a multi-stage Kanban-based supply chain, constructed strictly under the JIT philosophy.This model decides the optimum number of Kanban with a trade-off between inventory cost and customer service level.After developing this model, we implement a Simulated Annealing (SA) technique to efficiently find the optimum allocation of this supply chain. Finally, we conduct sensitivity analysis, which not only proves the robustness of our model, but also provides us with a tool to make fact-based decisions in response to unexpected external changes. This enables us to partially recover the profit when the changes are negative, or take a better advantage of changes when they are positive.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Industrial and manufacturing systems engineering (MU)

Grantor dc:publisher

University of Missouri--Columbia

Year dc:date.issued

2015

Author dc:creator

• Chen, Peng

Advisor dc:contributor.advisor

• Noble, James S.

Language dc:language.iso

eng, English

Handle dc:identifier.uri

https://hdl.handle.net/10355/46996

OAI identifier oai:identifier

oai:mospace.umsystem.edu:10355/46996