scholarly journals A Decision-Making Process for Selecting of Lean Tools Implementation Methods by Means of Analytical Hierarchy Process in Health Center

2013 ◽  
Vol 64 (3) ◽  
Author(s):  
Seyed Navid Seyedi ◽  
Saeed Hakimi ◽  
Hadi Badri Ahmadi ◽  
Pouyan Rezvan ◽  
Mozghan Izadifar

Decision making is contemplated as a serious task in management context and it becomes more challenging when appropriate alternatives should be selected among various options based on some criteria. Analytical Hierarchy Process (AHP) is one of the multi-criteria decision making methods, which is widely used in management science because of its reliable and acceptable performance. In this study, a novel execution of adjusted AHP in decision making was utilized in a case study in Iran in order to find the best method for application of lean concept among alternatives. Previous-mentioned alternatives are consulting, college student, and internal human resource. Case study results demonstrated that using consultants for carrying out lean tools is the best method. The degree of consistency is satisfactory and proved the accuracy and correction of application of AHP in finding the best method for implementation of lean tools.

2020 ◽  
Vol 11 (1) ◽  
pp. 43-56
Author(s):  
Budi Irawan Saleh ◽  
Choirul Anwar ◽  
Rusman Zaenal Abidin ◽  
Aris Setyo Radyawanto

The aim of the research was to enhance the selection for the process plant equipment supplier based on their country of origin in the gold mining project using the Analytical Hierarchy Process (AHP). The research also intended to investigate how AHP could further enhance the process of the project. The steps for modeling the AHP were identifying the hierarchy by the project team, constructing the AHP model, and calculating the weight for supplier selection. The research object was a gold mining company based in Indonesia. The schedule and resources were calculated, followed by a survey to evaluate the AHP process. After modeling and calculating using AHP, it is found that the three highest criteria for selecting the process plant equipment suppliers are running capacity (14,3 %), efficiency (9,9%), and endurance (9,7%). The overall scores for each supplier show that supplier from United States (25,87%) is in the first rank. It is followed by Germany (25,80%) and Australia (25,20%). Moreover, AHP is proven to enhance the process by not only reducing the time of decision-making for two days but also increasing the resource by almost 23%. Based on the survey to the project team, AHP increases the involvement of the project team in the decision-making process and shows that more than 80% of the project team agrees with the decision. The survey also reveals that almost 63% of the project team decides to use the same tools for the decision-making process.


2016 ◽  
pp. 127-137
Author(s):  
Milena Lakicevic ◽  
Bojan Srdjevic ◽  
Ivaylo Velichkov ◽  
Zorica Srdjevic

The paper investigates how different hierarchy structuring in analytic hierarchy process (AHP) may affect the final results in the decision-making process. This problem is analyzed in a case study of the Rila monastery forest stands in Bulgaria. There were three similar and mutually overlapped hierarchies defined. A decision maker evaluated all of them and after analyzing final results and consistency performance, he selected and revised the most appropriate hierarchy structure. Consistency check assisted in detecting the judgments which have strongly violated evaluation procedure. These mistakes are interpreted as a consequence of a large number of required pair-wise comparisons. The paper emphases the importance of properly defining hierarchy structure and recommends using consistency analysis as a guide and not as a directive for the revision of judgments.


Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.


Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 53687-53697 ◽  
Author(s):  
Desmond Jun Yi Tey ◽  
Yee Fei Gan ◽  
Ganeshsree Selvachandran ◽  
Shio Gai Quek ◽  
Florentin Smarandache ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document