A continuous improvement project (CIP) is a structured project using a team of people during a relative short period of time to improve a work area or process metric. An international wire and cable company had 51% orders delayed, which affected the fulfillment level of on-time orders, placing it on monthly average of 88%. The purpose of this project is to improve the fulfillment level indicator. In order to achieve this paper's goal, the research team used a Plan-Do-Check-Act (PDCA) problem solving methodology to address the main and action research methodology to document the results of this paper. Although this CIP is ongoing, after one week of implementing a pilot test in information transparency, the fulfillment level increased 3.5%. The content of this paper is relevant for professionals in the field because it shows the process of applying a continuous improvement methodology in the analysis, design and implementation of a solution to a very common issue for many companies. The benchmarking that the team made showed that other companies solved the problem by centralizing information, which was the option selected as "core" of the project. Despite the company's willingness to cooperate with the CIP, a key limitation was present: the lack of unified information.
|Title of host publication||7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017|
|Number of pages||13|
|Publication status||Published - Apr 2017|
|Event||Proceedings of the International Conference on Industrial Engineering and Operations Management - |
Duration: 1 Jan 2017 → …
|Name||Proceedings of the International Conference on Industrial Engineering and Operations Management|
|Conference||Proceedings of the International Conference on Industrial Engineering and Operations Management|
|Period||1/1/17 → …|
Bibliographical notePublisher Copyright:
© IEOM Society International.
Copyright 2017 Elsevier B.V., All rights reserved.
All Science Journal Classification (ASJC) codes
- Strategy and Management
- Management Science and Operations Research
- Control and Systems Engineering
- Industrial and Manufacturing Engineering