Purpose - The purpose of this study is to investigate and understand which significantparameters affect OTD within an ATO company, and furthermore develop a model which wouldenhance proactive work in order to achieve a higher OTD.Design/methodology/approach - The data is primarily of qualitative nature, employing semistructuredinterviews and workshop, with backup from quantitative production data. Anabductive approach was applied by iterating and aligning findings with relevant literature andtheory. These mixed methodologies created a triangulation of data, which through our analysishelp with the validation of our conclusions.Findings - Through our findings we can conclude that significant parameters which lowers OTDfor an ATO company can be found all through the supply chain. For this thesis and its model,parameters were chosen based on their ability to be quantified. For ABB GA Products, we found36 significant parameters as well as a systematic approach for an ATO company to iteratively gothrough them to investigate which orders are affected by which flags. Through this approach anATO company should be able to work more proactively towards higher OTD.Research limitations/implications - This thesis is conducted through a case study at ABB GAProducts only, which should be considered when using the results for further research.Practical implications - Specifies a logical scheme to classify risk of delayed orders.Originality/value - Advances theory in production and operations management regardingperformance measurement, towards a more proactive approach of measuring reactive KPI’s
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-214823 |
Date | January 2017 |
Creators | STRÖMQVIST, DANIEL, DANIELSSON, FILIP DANIELSSON |
Publisher | KTH, Industriell Management |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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