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Model-based improve-ment of in-night distribu-tion logistics system: a case study in logistics
Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In the present world, managing supply chain management is complicated by a single organization. So, the industry is ready to adjust its work module to win over the com-petition. The performance of the supply chain operation has different aspects such as location, on-time delivery, quality, dependability, and cost. Logistics is one of the high demands labor industry. The main role of logistics as a supply chain factor is to sort the incoming goods without any error within a minimum amount of time. Each distribution center has different techniques for incoming goods. The technique is varied from each distribution center according to the volume of the package delivered every day.The single case study takes place in a warehouse located in Jonkoping. The warehouse deals with the in-night distribution method, which means delivery the package as soon as possible before 7 AM on the next day. The purpose of the paper is to find the diffi-culties during sorting and find the possible ways to reduce the error. This paper focuses on a single case study to target the volume of handled parcels in the sorting zone.To access the warehouse strategies, a meeting was conducted with the warehouse su-pervisor and required data was collected for deeper analysis. The data were collected by interviews with the workers and observed the employees' work and found related literature for future improvement. This study says, the problem faced in the in-night material flow in one terminal and provides a suitable method or technique were sug-gested for a better outcome.

Place, publisher, year, edition, pages
2019. , p. 54
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-46993ISRN: JU-JTH-PRS-2-20190064OAI: oai:DiVA.org:hj-46993DiVA, id: diva2:1376119
Subject / course
JTH, Production Systems
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Examiners
Available from: 2019-12-10 Created: 2019-12-08 Last updated: 2019-12-10Bibliographically approved

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CiteExportLink to record
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