In English

Variation Risk Management and Decision Making

P-VMEA: A New Developed Application Area of Variation Mode and Effect Analysis for Robust Process Design

Isabelle Andréasson ; Gabriele Catalano
Göteborg : Chalmers tekniska högskola, 2014. 95 s. Diploma work - Department of Materials and Manufacturing Technology, Chalmers University of Technology, 2014.
[Examensarbete på avancerad nivå]

Variations are always present in processes and depending on how organisations manage these variations, targets risk not to be reached. The performance of a modern company strictly depends on the ability of combining interfaces between different processes, increasing the value added to the customer and optimizing utilization of the assets and resources; reducing the variation affecting the process. Variation Mode and Effect Analysis (VMEA) is a commonly known tool within product development for robust product design. The purpose of this study is to investigate if VMEA is applicable to processes in order to manage process variation and to build robust processes. The goal is to fulfil the purpose and to make generalizable conclusions. This work rises after a successful Six Sigma project, where the authors applied the VMEA methodology to a process in an improvement project. With the intention to achieve the purpose, a qualitative research strategy was selected. Qualitative data were collected through semi-structured interviews and a Kano survey. The main research was done at Volvo Group Trucks Technology (Volvo GTT). Furthermore, for increasing the validity of the study, a benchmark was performed at Volvo Group Trucks Operations, Ericsson AB and Tetra Pak. In addition, VMEA researchers and experiences Six Sigma black belts supervised this thesis work. A case study was performed at Powertrain Engineering within Volvo GTT for analysing the In-Service Conformity test process. The results of this thesis show that VMEA is applicable to processes. A new developed Process-VMEA (P-VMEA) framework is provided for identifying, assessing, mitigating and managing variations in a process. The deliveries of the framework are mainly directed towards decision makers and aim to strengthen fact based decisions. The reader is guided step by step in the P-VMEA methodology by using artificial organisation examples and real application cases. The P-VMEA framework is divided in four phases with review gates in the end of each phase to ensure that the goals are achieved.

Nyckelord: Process, Variation, Variation Risk Management, Variation Mode and Effect Analysis, Decision Making, Quality, Six Sigma, Key Process Characteristics, Improvement Project, Kano, Business Processes, Process Mapping Tool



Publikationen registrerades 2016-07-07. Den ändrades senast 2016-07-07

CPL ID: 239127

Detta är en tjänst från Chalmers bibliotek