Logistics Optimization for Productivity Improvement (OPTION)

This project is concerned with developing and applying integrated models, concepts, and optimization approaches in order to help with finding good solutions to distribution and transportation of material in the shop floor while considering multiple objectives and addressing several decision problems simultaneously.

Logistics optimization has recently received increasing attention from researchers and industrial organizations. This is due to the fact that current production and distribution logistics strategies are not that efficient. Logistics process in manufacturing industry can be divided into three sub-processes, namely external, in-plant, and return logistics. This research study is mainly concerned with in-plant logistics which includes all the logistics activities from receiving of material, at the original equipment
manufacturer’s facility, up to arranging them in appropriate racks and bins at the lines. The main optimization areas concerning in-plant logistics are storage, distribution and transportation, and line-side presentation. Currently the second optimization area, distribution and transportation, is in the spotlight and has received considerable attention due to its complexity, economic and environmental impacts. Traditionally, optimization approaches in this area have been devised focusing only on the economic impact. Consideration of wider objectives and more operational constraints that are concerned with sustainable logistics issues and multiple decision problems pose new challenges that require new models and new application scenarios, which naturally lead to more complex optimization approaches. Therefore, this project is concerned with developing and applying integrated models, concepts, and optimization approaches in order to help with finding good solutions to distribution and transportation of material in the shop floor while considering multiple objectives and addressing several decision problems simultaneously. In this project we will rely on both exact and approximate methods to improve the efficiency of the logistics in industry.

KK-stiftelsen

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Project Leader

Masood Fathi
School of Engineering Science
Senior Lecture in Production Engineering

E-post: masood.fathi@his.se
Arbete: 0500-448575
Rum: PA220J

The project in brief

FULL NAME OF THE PROJECT
Logistics Optimization for Productivity Improvement (OPTION)

PROJECT DURATION
2018-06-01 – 2020-05-30 (24 months)

FINANCED BY
The Knowledge Foundation
Xylem Water Solutions
University of Skövde

RESEARCHERS RELATED TO THE CURRENT PROJECT
Anna Syberfeldt, Professor (University of Skövde)
Masood Fathi, Ph.D (University of Skövde)