University of Twente Student Theses

Login

Improving production planning by flow shop scheduling algorithms : A case study at ForFarmers

Teunissen, J. (2018) Improving production planning by flow shop scheduling algorithms : A case study at ForFarmers.

[img] PDF
2MB
Abstract:This thesis proposes an algorithm for machine scheduling in animal feed mills. Feed mills fit the characteristics of a hybrid flow shop. Production consists of two types of lines: the grind and mix line, and the press line. First, the ingredients are grinded and mixed. Next, it is pressed into a pellet (pelletizing). Pelletizing is a continuous process. Therefore, jobs of the same product are combined in (large) batches. Furthermore, removal times, setup times, unrelated parallel machines, and limited or no buffer space are taken into account. Our algorithm is based on a divide-and-conquer strategy that first optimizes the press lines by use of Adaptive Search. Next, given the press schedule, the sequence at the grind and mix line is optimized by Simulated Annealing, such that the best value for the overall objective is found. This means that the grind and mix line must not delay production at the press lines, or only as little as possible.
Item Type:Essay (Master)
Clients:
ForFarmers Nederland B.V., Lochem, Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:31 mathematics, 48 agricultural science, 58 process technology
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:http://purl.utwente.nl/essays/75834
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page