Modelling the decision of paper shredder selection using analytic hierarchy process and graph theory and matrix approach

Zheng Yun Zhuang, I. Jen Chiang, Chia Rong Su, Chih Yung Chen

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

There are so many paper shredder products available in the market, and the decision to select a ‘right shredder’ usually involves a number of criteria. For organizations, complexity arises when the procurement function is to purchase a massive amount of shredders of the same type. This study initiated the idea to use the analytic hierarchy process with graph theory and matrix approach for solving the problem. The proposed model determines the best shredder from a pool of alternatives, given the buyer-side decision-maker’s preference settings. With the expert questionnaire polled and the heterogeneous real data collected, the model is applied to a reduced data set. The size of the decision problem is defined as 8 alternatives are filtered among 26, while the 7 justification attributes considered are fully kept for not losing the experimental meaning. The result shows the effectiveness and applicability of the approach to manage the encountered decision scientifically. As this also implies that not only buyers but also the manufacturers can use this model to analyse ‘something’, it is confident to conduct more future studies. The R script which implements the dynamic programming concept to calculate the assessed index scores for graph theory and matrix approach is perhaps another contribution of this study.

Original languageEnglish
JournalAdvances in Mechanical Engineering
Volume9
Issue number12
DOIs
Publication statusPublished - Dec 1 2017

Fingerprint

Analytic hierarchy process
Graph theory
Paper products
Dynamic programming

Keywords

  • analytic hierarchy process
  • data-driven decision-making
  • dynamic programming
  • graph theory and matrix approach
  • Multi-attribute decision-making
  • paper shredder
  • selection problem

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

Modelling the decision of paper shredder selection using analytic hierarchy process and graph theory and matrix approach. / Zhuang, Zheng Yun; Chiang, I. Jen; Su, Chia Rong; Chen, Chih Yung.

In: Advances in Mechanical Engineering, Vol. 9, No. 12, 01.12.2017.

Research output: Contribution to journalArticle

@article{739c290d9e9a454595a2d59e03869963,
title = "Modelling the decision of paper shredder selection using analytic hierarchy process and graph theory and matrix approach",
abstract = "There are so many paper shredder products available in the market, and the decision to select a ‘right shredder’ usually involves a number of criteria. For organizations, complexity arises when the procurement function is to purchase a massive amount of shredders of the same type. This study initiated the idea to use the analytic hierarchy process with graph theory and matrix approach for solving the problem. The proposed model determines the best shredder from a pool of alternatives, given the buyer-side decision-maker’s preference settings. With the expert questionnaire polled and the heterogeneous real data collected, the model is applied to a reduced data set. The size of the decision problem is defined as 8 alternatives are filtered among 26, while the 7 justification attributes considered are fully kept for not losing the experimental meaning. The result shows the effectiveness and applicability of the approach to manage the encountered decision scientifically. As this also implies that not only buyers but also the manufacturers can use this model to analyse ‘something’, it is confident to conduct more future studies. The R script which implements the dynamic programming concept to calculate the assessed index scores for graph theory and matrix approach is perhaps another contribution of this study.",
keywords = "analytic hierarchy process, data-driven decision-making, dynamic programming, graph theory and matrix approach, Multi-attribute decision-making, paper shredder, selection problem",
author = "Zhuang, {Zheng Yun} and Chiang, {I. Jen} and Su, {Chia Rong} and Chen, {Chih Yung}",
year = "2017",
month = "12",
day = "1",
doi = "10.1177/1687814017737668",
language = "English",
volume = "9",
journal = "Advances in Mechanical Engineering",
issn = "1687-8132",
publisher = "Sage Publications",
number = "12",

}

TY - JOUR

T1 - Modelling the decision of paper shredder selection using analytic hierarchy process and graph theory and matrix approach

AU - Zhuang, Zheng Yun

AU - Chiang, I. Jen

AU - Su, Chia Rong

AU - Chen, Chih Yung

PY - 2017/12/1

Y1 - 2017/12/1

N2 - There are so many paper shredder products available in the market, and the decision to select a ‘right shredder’ usually involves a number of criteria. For organizations, complexity arises when the procurement function is to purchase a massive amount of shredders of the same type. This study initiated the idea to use the analytic hierarchy process with graph theory and matrix approach for solving the problem. The proposed model determines the best shredder from a pool of alternatives, given the buyer-side decision-maker’s preference settings. With the expert questionnaire polled and the heterogeneous real data collected, the model is applied to a reduced data set. The size of the decision problem is defined as 8 alternatives are filtered among 26, while the 7 justification attributes considered are fully kept for not losing the experimental meaning. The result shows the effectiveness and applicability of the approach to manage the encountered decision scientifically. As this also implies that not only buyers but also the manufacturers can use this model to analyse ‘something’, it is confident to conduct more future studies. The R script which implements the dynamic programming concept to calculate the assessed index scores for graph theory and matrix approach is perhaps another contribution of this study.

AB - There are so many paper shredder products available in the market, and the decision to select a ‘right shredder’ usually involves a number of criteria. For organizations, complexity arises when the procurement function is to purchase a massive amount of shredders of the same type. This study initiated the idea to use the analytic hierarchy process with graph theory and matrix approach for solving the problem. The proposed model determines the best shredder from a pool of alternatives, given the buyer-side decision-maker’s preference settings. With the expert questionnaire polled and the heterogeneous real data collected, the model is applied to a reduced data set. The size of the decision problem is defined as 8 alternatives are filtered among 26, while the 7 justification attributes considered are fully kept for not losing the experimental meaning. The result shows the effectiveness and applicability of the approach to manage the encountered decision scientifically. As this also implies that not only buyers but also the manufacturers can use this model to analyse ‘something’, it is confident to conduct more future studies. The R script which implements the dynamic programming concept to calculate the assessed index scores for graph theory and matrix approach is perhaps another contribution of this study.

KW - analytic hierarchy process

KW - data-driven decision-making

KW - dynamic programming

KW - graph theory and matrix approach

KW - Multi-attribute decision-making

KW - paper shredder

KW - selection problem

UR - http://www.scopus.com/inward/record.url?scp=85039916518&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85039916518&partnerID=8YFLogxK

U2 - 10.1177/1687814017737668

DO - 10.1177/1687814017737668

M3 - Article

AN - SCOPUS:85039916518

VL - 9

JO - Advances in Mechanical Engineering

JF - Advances in Mechanical Engineering

SN - 1687-8132

IS - 12

ER -