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Internal supply chain performance evaluation in make-to-order manufacturing environment

Vähäkuopus, Laura (2021)

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Pro gradu -tutkielma

Vähäkuopus, Laura
2021

School of Business and Management, Kauppatieteet

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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2021062139260

Tiivistelmä

Complete supply chain is a necessity for a product to reach it customers, and the more
efficient the supply chain is and the less disruptions it has, the better the customer
satisfaction, productivity, and business success are. Supply chain disruptions
accumulate, so when something unexpected happens, for example, in the external
supply chain, regular disruptions in internal supply chain only make the situation
worse. It is challenging or almost impossible to prepare for disruptions caused by
unexpected issues, but the development of company’s own internal activities is not
impossible and does not always require major measures, as this study will show. The
study examines the internal supply chain performance in MTO product at case factory.
The aim of the study is to describe the internal supply chain and its timing by using
qualitative and quantitative research methods, to find areas for development in the
operations and the flow in between them in order to achieve better internal supply
chain performance and meet customer promises. Quantitative method was used to
measure possible cause-and-effect relationships of the timing of internal operations
and the low production punctuality. The study found that the delayed timing of
production has a negative effect on the punctuality of production. Qualitative methods
were used to find out the level of communication and transparency between operations
which are found to be low, claimed to be influenced by management, and has effect
on internal supply chain performance. Value stream maps were used to describe the
process in order to describe the value and waste creating activities, and areas for
development. This study has limitations, such as purchasing, sales, external supply
chain and risk management, nor can research results be generalized without careful
consideration of all the factors.
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