Development and Application of Kanban and MilkRun in Production Process of a Metalworking Company Demand variability and high competitiveness in the manufacturing sector have influenced companies to adopt different tools to optimize their inventory control. The Kanban tool offers a reduction of minimum inventory levels and increased production flexibility. This study covers the design, application, and validation of a Kanban control system and a milkrun distribution system in a kitchen manufacturer company in Peru. The main problem faced by the company is the high index of work in progress (WIP) generated by the bottleneck of the productive flow. This is caused mainly by the absence of a flow system that allows control of the production. This problem amounts to a monthly cost of approximately 53,272. In this study, a pilot is implemented in the production line to evaluate the results obtained and, in parallel, a simulation system is designed to evaluate the longterm results. From the results obtained, it can be concluded that the application of the proposed tools will reduce the WIP of each component produced, avoiding overproduction and optimizing costs.

KanbanCONWIP Hybrid Model for Improving Productivity of an Electrostatic Coating Process The company in this study provides metallic coating services in Peru and posted increasing losses due a spike in nonconformances. This problem is recurrent in the metalmechanic sector in the country, because of the absence of controls to mitigate problems in production lines. The application of engineering tools including 5S, systematic layout planning (SLP), and WLC to establish a background supporting the proper application of a modified Hybrid KanbanCONWIP system centered on tools like a line signaling process capable of optimally controlling and managing each activity until perfect finish of a product is proposed as an improvement to solve the problems. The proposed improvement reduces the operating cost by 9% and increased the companyu0027s profit by 1015.4 %, around 5 344.11.