scholarly journals AN INTEGRATED DECISION-MAKING MODEL FOR EFFICIENCY ANALYSIS OF THE FORKLIFTS IN WAREHOUSING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 537
Author(s):  
Eldina Mahmutagić ◽  
Željko Stević ◽  
Zdravko Nunić ◽  
Prasenjit Chatterjee ◽  
Ilija Tanackov
Keyword(s):  
Decision Making ◽  
Daily Basis ◽  
Data Envelopment ◽  
Business Applications ◽  
Decision Making Problem ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Warehousing Systems ◽  
Using Data ◽  
Decision Making Model

In the logistics world, special attention should be given to warehousing systems, cost rationalization, and improvement of all the factors that affect efficiency and contribute to smooth functioning of logistics subsystems. In real time industrial practice, the issue of evaluating and selecting the most appropriate forklift involves a complex decision-making problem that should be formulated through an efficient analytical model. The forklifts efficiency plays a very important role in the company. The forklifts are being used on a daily basis and no logistical processes could be done without them. Therefore, it has been decided to determine their efficiency, which will contribute to the optimization of the process in this logistics subsystem. This study puts forward an integrated forklift selection model using Data Envelopment Analysis (DEA), Full Consistency Method (FUCOM) and Measurement Alternatives and Ranking According to the Compromise Solution (MARCOS) methods. Five input parameters (regular servicing costs, fuel costs, exceptional servicing costs, total number of all minor accidents and damage caused by forklifts) and one output parameter (number of operating hours) were first identified to assess efficiency of eight forklifts in a warehousing system of the Natron-Hayat company using the DEA model. This step allows sorting of efficient forklifts which are subsequently evaluated and ranked using FUCOM and MARCOS methods. A sensitivity analysis is also performed in order to check reliability and accuracy of the results. The findings of this research clearly show that the proposed decision-making model can significantly contribute to all spheres of business applications.

scholarly journals Integration of AHP and GTMA to Make a Reliable Decision in Complex Decision-Making Problems: Application of the Logistics Provider Selection Problem as a Case Study

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 766
Author(s):  
Danijela Tuljak-Suban ◽  
Patricija Bajec
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Third Party ◽  
Selection Problem ◽  
New Method ◽  
Analytic Hierarchy ◽  
Decision Making Problem ◽  
Network Process ◽  
Complex Decision Making ◽  
Complex Decision

When solving a Multi-Criteria Decision-Making problem of any degree of complexity, many researchers rely on the analytic hierarchy process (AHP). To consider mutual connections between criteria and clusters at the same level and not only the hierarchical structure between criteria and subcriteria, researchers often upgrade from AHP to the Analytic Network Process (ANP), which also examines the interdependency of criteria. However, the ANP method requires a large number of pairwise comparisons. In the case of a complex decision-making problem, the authors of this paper suggest upgrading the AHP method with the graph theory and matrix approach (GTMA) for several reasons: (1) The new method is based on digraphs and permanent value computation, which does not require a hypothesis about interdependency; (2) in case of similar alternatives, the distinguishable coefficient of the new method is higher than those computed for AHP and ANP; (3) the new method allows decision makers to rank comparable alternatives and to combine structurally similar methods without increasing the number of comparisons and the understanding of the results. The developed method (AH-GTMA) is validated by a numerical example of a complex decision-making problem based on a symmetrical set of similar alternatives, a third party logistic provider (3PLP) selection problem.

A Hybrid AI-Based Conceptual Decision-Making Model for Sustainable Maintenance Strategy Selection

2019 ◽  
pp. 63-93
Author(s):  
Soumava Boral ◽  
Sanjay K. Chaturvedi ◽  
V. N. A. Naikan ◽  
Ian M. Howard
Keyword(s):  
Decision Making ◽  
Case Based Reasoning ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Critical Systems ◽  
Optimal Maintenance ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Decision Making Model ◽  
Hybrid Artificial Intelligence

Selection of optimal maintenance strategy for critical systems/machinery is considered as a complex decision-making task that takes into account several available maintenance alternatives that are evaluated in terms of a set of different conflicting qualitative and quantitative factors. In the last few decades, progress has been made in different sustainable-based decision-making problems, where environmental, social, and economic factors played a pivotal role to arrive at the best decision. In this chapter, a hybrid artificial intelligence (AI)-based conceptual decision-making model is described by taking advantages of both expert system and case-based reasoning methodology to solve sustainable maintenance strategy selection problems. Adding to this, a flowchart of the model is suitably described by hypothetical examples of a sustainable maintenance strategy selection program.

scholarly journals MATHEMATICAL MODEL FOR MANAGEMENT OF THE MUNICIPAL AUTHORITIES

2019 ◽  
pp. 3-8
Author(s):  
A. I. Mehdialiyev ◽  
H. M. Misirov
Keyword(s):  
Decision Making ◽  
Analytical Techniques ◽  
Analytic Hierarchy ◽  
Decision Making Problem ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Optimum Solution ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

In the presented paper to solve the problem was used the "Analytic Hierarchy Process" method developed by Tomas L. Saaty. AHP is one of the most popular analytical techniques for complex decision-making problems. In this method a decision-making problem decomposes into a system of hierarchies of objectives, attributes (or criteria), and alternatives. Then to obtain optimum solution uses judgements of experts with a special scale for measuring non-quantitative and method of establishing priorities.

scholarly journals Selection of the Best Method for Underpinning Foundations Using the PROMETHEE II Method

2020 ◽  
Vol 12 (13) ◽  
pp. 5373 ◽  
Author(s):  
Ryszard Dachowski ◽  
Katarzyna Gałek
Keyword(s):  
Decision Making ◽  
Construction Industry ◽  
Optimal Solution ◽  
Preference Ranking ◽  
Promethee Ii ◽  
Jet Grouting ◽  
Decision Making Problem ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Selection Of

This article proposes applying the preference-ranking organization method for enrichment of evaluations (PROMETHEE) II in the selection of the optimal solution and ranking of selected methods for underpinning foundations. Analysis of the selected foundation-underpinning methods was based on a complex decision-making problem that included aspects of the three pillars of sustainable development, and it was extended to include technological and constructional criteria. The study used the following criteria for assessing proposed variants: price, bearing capacity, noise and vibrations, necessary equipment, necessary excavations under final structure, failure rates, and necessary foundation shoring. Analysis using the PROMETHEE II method allowed for identifying strengths and weaknesses of selected methods for underpinning foundations. The PROMETHEE II method enabled to create a ranking of foundation-underpinning methods. Jet-grouting and root-pile methods were the highest scorers in this ranking and those that fulfilled the identified criteria to the greatest extent. Moreover, analysis showed that the PROMETHEE II method was useful in solving problems of choice in the construction industry.

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