search query: @keyword decision support / total: 13
results-list
reference: 2 / 13
« previous | next »
Author:Heikkilä, Mikko
Title:Improved decision support for order allocation in a multisite production environment
Förbättrat stöd för beslutsfattande för produktionsallokering i en flerfabriksomgivning
Publication type:Master's thesis
Publication year:2010
Pages:99      Language:   eng
Department/School:Insinööritieteiden ja arkkitehtuurin tiedekunta
Main subject:Teollisuustalous   (TU-22)
Supervisor:Lillrank, Paul
Instructor:Sirviö, Toni
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions
close

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

You can read theses on the Learning Centre customer computers, which are available on all floors.

Logging on to the customer computers

  • Aalto University staff members log on to the customer computer using the Aalto username and password.
  • Other customers log on using a shared username and password.

Opening a thesis

  • On the desktop of the customer computers, you will find an icon titled:

    Aalto Thesis Database

  • Click on the icon to search for and open the thesis you are looking for from Aaltodoc database. You can find the thesis file by clicking the link on the OEV or OEVS field.

Reading the thesis

  • You can either print the thesis or read it on the customer computer screen.
  • You cannot save the thesis file on a flash drive or email it.
  • You cannot copy text or images from the file.
  • You cannot edit the file.

Printing the thesis

  • You can print the thesis for your personal study or research use.
  • Aalto University students and staff members may print black-and-white prints on the PrintingPoint devices when using the computer with personal Aalto username and password. Color printing is possible using the printer u90203-psc3, which is located near the customer service. Color printing is subject to a charge to Aalto University students and staff members.
  • Other customers can use the printer u90203-psc3. All printing is subject to a charge to non-University members.
Location:P1 Ark Aalto  6311   | Archive
Keywords:multisite planning
capacity planning
order allocation
decision support
flerfabriksplanering
kapacitetsplanering
produktionsallokering
stöd för beslutsfattande
Abstract (eng): Global market presence and complex supply networks require increased focus on demand-supply coordination.
In this study multisite production allocation logic is developed with the objective to support factory specific capacity planning while at the same time increasing the delivery punctuality of the supply units.
The demand-supply network analyzed in the case study includes three supply units and one order coordinating unit responsible for order allocation decision-making.

The theoretical input for the developed allocation model includes theories on operations research and management, decision support systems, supply chain management and process improvement.
The case study of this thesis is based on the theoretical review with additional information sources including internal company documentation, guidelines, data analysis from factory ERP databases and interviews.

The multisite allocation logic is developed by implementation of operations research methods.
First, a model of the research problem is created.
The correct input for the model is identified through iteration and includes factory and order specific inputs.
The model is then solved using three allocation strategies: reduction of movement, production costs and production quality.
These allocation strategies are derived from theories covered in the theoretical review and the underlying objectives to improve delivery punctuality while facilitating factory capacity planning for short- and mid-term planning horizons.
Historical sales data is used to calculate the factory specific capacity requirements with the developed allocation logic.
The robustness of the model solution and its applicability for the real problem is tested using a sensitivity analysis based on aggregate demand fluctuation.
This analysis concludes that the allocation logic is robust and can be implemented for the real problem.
Abstract (swe): Global marknadsnärvaro och komplexa leveransnätverk kräver tilltagande fokus för effektiv koordinering av tillgång och efterfrågan.
Denna studie utvecklar en allokeringslogik i en flerfabriksomgivning.
Syftet är att stöda kapacitetsplaneringen i enskilda fabriker samt förbättra leveranssäkerheten av alla produktionsenheter.
Leveransnätverket som analyseras i fallstudien består av tre fabriker samt en enhet som ansvarar för allokering av efterfrågan.

Teoretiska ramarna för fallstudien består av en litteraturöversikt inom operationsstudier, stöd för beslutsfattande, leveranskedjor och process utveckling.
Därtill används företagsspecifik dokumentation, interna instruktioner, analys av produktionsdata och intervjuer som tilläggskällor för fallstudien.

En allokeringslogik utvecklas med hjälp av operationsstudiemetoder.
Först bildas en modell av forskningsproblemet.
Denna modell är sedan löst med hjälp av tre allokeringsstrategier: minimering av rörelse, produktionskostnader och produktionskvalitet.
Dessa tre allokeringsstrategier baserar sig på teoretiska analysen i litteraturöversikten samt på syftet att förbättra leveranssäkerhet och att underlätta kapacitetsplanering för kort- och medeltids horisonter.
Realiserad försäljningsdata används för kalkylering av kapacitetsbehov med den utvecklade allokeringslogiken.
Modellösningens robusthet och tillämpningsförmåga i verkliga problemet analyseras med hjälp av en sensitivitetsanalys som baserar sig på fluktuering av aggregat efterfråga.
Denna analys visar att allokeringslogiken är robust och därmed kan allokeringslogiken appliceras.
ED:2010-11-09
INSSI record number: 41296
+ add basket
« previous | next »
INSSI