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Hybrid simulation of internal logistics based on outbound logistics to improve service level: a case study at Stiho DC Utrecht

Steggink, Roel (2023) Hybrid simulation of internal logistics based on outbound logistics to improve service level: a case study at Stiho DC Utrecht. Design Project, Industrial Engineering and Management.

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Abstract

De Stiho Groep (hereafter: DSG) is a large family owned distributor of all kinds of construction materials. From their distribution center in Utrecht, trucks deliver customer orders to several construction sites or customer warehouses. The main problem is too much customer complaints caused by an insufficient service level. This had three main underlying causes: • The planned orders are not available in the expedition hall at the moment of loading the truck. • The planned orders do not fit in the truck's trailer as maximum weight or volume is exceeded. • The truck arrives too late at a customer. With a hybrid model combining an Anylogic discrete event simulation of the internal logistics with a capacitated vehicle routing problem optimization of the outbound logistics modeled in Python, a solution is presented to improve the service level and overcome the underlying causes. Most orders that are not delivered on the agreed date to the customer are in the routes of the trucks that depart early. In the hybrid simulation, tardy orders were rescheduled to a later truck without the need of deploying an additional truck. This improved the service level from 97.7% to 99.8%. Other options on improving only the internal logistics were also considered, namely: decreasing batch size, using more employees, earlier order intake and batch picking. However, these options could not reach the desired service level. By considering all customers instead of making a pre selection by the pla

Item Type: Thesis (Design Project)
Supervisor name: Hubl, A. and Cherukuri, A.K.
Degree programme: Industrial Engineering and Management
Thesis type: Design Project
Language: English
Date Deposited: 07 Feb 2023 11:59
Last Modified: 07 Feb 2023 11:59
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/29208

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