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Förpackningshantering i det dolda

En studie om hur den interna hanteringen kan synliggöras och förbättras.


Handling materials and packaging, which is the focus of this study, requires efficient logistics, both internally and between companies. To achieve an efficient material flow, good information systems, whose role is to collect, store, process and distribute information, are required. The assumption that packagings are handled in an efficient manner is currently not a matter of course, when many companies do not prioritize the internal management of the package.The purpose of this report was to investigate how medium-sized businesses working with distribution and handling of spare parts packaging can improve their internal management of packaging. In order to answer the purpose, we have used an abductive process and a qualitative data collection. The study had Logistic Center Ljungby (LCL) at Electrolux Laundry Systems (ELS) as a case company and two other respondents, Nibe in Markaryd and Enertech in Ljungby. With these respondents, we conducted two interviews per respondent.In this study we described the concepts that are linked to the internal management of packaging according to three main areas. These three main areas are inventory planning, information systems to support and Enterprise Resource Planning. The empirical report is divided into three chapters which each respondent is treated separately. These three chapters are structured in the same manner, but with a greater emphasis on the case company. The areas of these chapters are company facts about the company, inventory planning today and the view of information systems.Through effective inventory planning with information to support, we believe that the internal management of packaging could be better. The result of this study shows that following factors should be considered, Article number, Classification, Reorder point, Reduce separated inventory, Call-of and BOM-terms.

Författare

Andreas Nilsson Jonas Karlsson

Lärosäte och institution

Linnéuniversitetet/Institutionen för datavetenskap, fysik och matematik, DFM

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