A3 Workstation Performance Evaluation and Design Improvement

By Christian Vig
and Ivan Sjoberg

2020

Theme

The demand for products in the category of high-variety low-volume (HVLV) has increased. This requires flexible systems to produce the right products, making the manual work of operators a crucial element to be able to achieve the required productivity and to guarantee a constant flow according to the Lean principle of the Just-in-Time. This can lead to extra strain on the workers if their facilities are not ergonomically correct. The thesis is covering how to measure the performance of workstations, how anthropometric measurements affect the performance and, based on these, how to design the workstation.

Lean 4.0 A3 Smart Assistance in HVLV Manual Assembly

By Lorenzo Andreoli

december 2019


Theme

Although automation has increased in High-Variety, Low-Volume (HV,LV) manufacturing companies recently, manual labor is still indispensable in a variety of complex tasks, especially in assembly operations.

This pilot tests a prototype of a smart workstation equipped with an assistance system for manual assembly.

Lean 4.0 A3 Order Picking Operations

By Christian Schan

december 2019


Theme

As of today, the majority of warehouses uses manual workforce to perform order picking. Order picking is considered as the most labor-intensive, time-consuming and costly activity in warehouses.

The pick-by-vision system assists the operator in the four phases of picking: getting information, searching, picking and confirming.

Master Thesis: Intelligent Augmented Reality Assembly Training

By Niklas Heidler

december 2019


Theme

Through conducting a multiple case study in two companies followed by a three-round Delphi investigation with experts in the relevant fields, the current practice of assembly training has been assessed and analysed. Ranking lists have been established of the most important factors of both systems. Furthermore, the Delphi experts came up with a blueprint for an assembly training system using AR.

Master Thesis: Exposing the Potential of Augmented Reality in assembly

By Keimpe Frans Oenema

january 2019


Theme

This thesisstrives to develop an approach with which it is possible to assess Augmented Reality Potential (ARP) for manual assembly activities carried out at a workplace. The framework guides users of it in the process of AR assembly system (ARAS) implementation and leads to better informed decisionmaking.