scholarly journals AHP Method to Support Decision Making for Sustainability

2020 ◽  
Vol 13 (4) ◽  
pp. 32
Author(s):  
Wail El hilali ◽  
Abdellah El manouar ◽  
Mohammed Abdou Janati Idrissi
Keyword(s):  
Decision Making ◽  
Business Models ◽  
Multicriteria Decision Making ◽  
Ahp Method ◽  
Telecom Operator ◽  
Fierce Competition ◽  
The Right ◽  
Scarcity Of Resources ◽  
New Framework

In these challenging times, finding a way to sustain the created value becomes a must. The fierce competition, the risk of disruption, the rise of customer awareness and the scarcity of resources, all these are few of many drivers that push companies to invest in sustainability. This paper is an attempt to enrich the literature about this subject. It mainly explores how to use the AHP method, a well-known multicriteria decision making technique, to decide about the right actions to implement, in order to reach sustainability. The paper is a continuity of a previous work that introduced a new framework that explained how companies could sustain their business models through information systems (IS). This approach was applied on a telecom operator, as a case study, to explain well how companies could choose the right actions to implement, in order to reach sustainability.

scholarly journals Decision Making Using Multicriteria Analysis: A Case Study of Decision Modeling Career in Education

2017 ◽  
Vol 4 (2) ◽  
pp. 24 ◽  
Author(s):  
Ioannis Dimitrakopoulos ◽  
Kostas Karamanis
Keyword(s):  
Decision Making ◽  
Multicriteria Analysis ◽  
Multicriteria Decision Making ◽  
Evaluation Framework ◽  
Basic Principles ◽  
Multicriteria Method ◽  
The Right ◽  
The Cost ◽  
The University

The aim of this paper is to offer an applicable evaluation framework relating to the right choice of one’s profession via his/her studies. The first part of the paper consists of the basic principles of Multicriteria Decision Making. To begin with, the paper initially focuses on the Macbeth Method. This helps to provide a perspective for procedural types of decisions in which various qualitative and quantitative aspects are incorporated. In the second part of the paper, the above-mentioned multicriteria method is applied to a “real-world” case concerning a specific case of a student, Eva. For this specific study, it is concluded that the factors of greatest importance that lead to choosing the University Eva finally chose, were four: the cost of undergraduate studies, the reputation-status of the University, its logistics and infrastructure and its interconnections with other Universities and other Academic Institutions.

scholarly journals Customer experience management: asking the right questions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ian R. Hodgkinson ◽  
Thomas W. Jackson ◽  
Andrew A. West
Keyword(s):  
Decision Making ◽  
Business Models ◽  
Management Practices ◽  
Management Practice ◽  
Customer Experience ◽  
Content Type ◽  
Customer Data ◽  
Customer Experience Management ◽  
New Perspective ◽  
The Right

Purpose Customer experience is more critical than ever to firms’ successes and future growth opportunities. Typically measured through aggregate satisfaction scores, businesses have been criticized for oversimplifying what experience means. The purpose of this study is to provide a new perspective on experience management and offers a novel way forward for customer-centric strategizing. Design/methodology/approach Mapping the current digital technologies being used across businesses in all sectors to engage and connect with customers more effectively, this paper outlines some of the fundamental challenges of experience management and future opportunities to enhance business practice. Findings Businesses are capturing what they know about customers, rather than what a customer thinks and feels about the firm. Many experience management initiatives create customer pains (not gains), while for businesses, decision-making can be jeopardized by fake customer data. A framework based upon the five experience dimensions is presented for optimal customer-driven decision-making. Practical implications Going beyond aggregate satisfaction scores that serve as an output rather than an input into businesses strategizing, the paper presents an actionable framework for targeted investments and enhanced experience management practices. Originality/value Businesses are seeking to grow intelligent customer experience analysis capabilities to disrupt traditional business models toward greater customer-centricity and to track the digital spread of positive and negative experiences. Examining how this is being done and where the weaknesses lie by bridging management practice and the scientific literature, this paper provides new knowledge to advance customer-centric strategies for growth and profitability.

An integrated machine learning: Utility theory framework for real-time predictive maintenance in pumping systems

2020 ◽  
pp. 095440542097051
Author(s):  
Raghad M Khorsheed ◽  
Omer Faruk Beyca
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Utility Theory ◽  
Predictive Maintenance ◽  
Manufacturing Operations ◽  
Pumping Stations ◽  
Bearing Failures ◽  
Temperature Levels ◽  
The Right

Bearings are the most widely used mechanical parts in rotating machinery under high load and high rotational speeds. Operating continuously under such harsh conditions, wear and failure are imminent. Developing defects give rise to even-higher vibration and temperature levels. In general, mechanical defects in a machine cause high vibration levels. Therefore, bearing fault identification and early detection enables the maintenance team to repair the problem before it triggers catastrophic failure in the bearing. Machine downtime is thus avoided or minimized. This paper explores the use of Machine Learning (ML) integrated with decision-making techniques to predict possible bearing failures and improve the overall manufacturing operations by applying the correct maintenance actions at the right time. The accuracy of the Predictive Maintenance (PdM) module has been tested on real industrial production datasets. The paper proposes an effective PdM methodology using different ML algorithms to detect failures before they happen and reduce pump downtime. The performance of the tested ML algorithms is based on five performance indicators: accuracy, precision, F-score, recall, and an area under curve (AUC). Experimental results revealed that all tested ML algorithms are successful and effective. Furthermore, decision making with utility theory has been employed to exploit the probability of failures and thus help to perform the appropriate maintenance interventions. This provides a logical framework for decision-makers to identify the optimum action with the maximum expected benefit. As a case study, the model is applied on forwarding pumping stations belonging to the Sewerage Treatment Company (STC), one of the largest sewage stations in Qatar.

scholarly journals Outsourcing energy retrofitting of hotel buildings: the decision-making process

2019 ◽  
Vol 266 ◽  
pp. 01016 ◽  
Author(s):  
M.F.F. Fasna ◽  
Sachie Gunatilake
Keyword(s):  
Decision Making ◽  
Energy Performance ◽  
Decision Making Process ◽  
Existing Buildings ◽  
Energy Retrofit ◽  
Energy Efficiency Improvement ◽  
Adoption And Implementation ◽  
Energy Service ◽  
The Right

Poor energy performance of existing buildings worldwide has led to a crucial need to retrofit existing buildings to minimise energy consumption. Among the existing buildings, hotels use as much as 50% of their total expenses on energy and offer significant opportunities for energy efficiency improvement. Yet, comparatively the level of implementation of energy retrofits found to be low, which has attributed to, inter alia, the absence of a clearly defined process for ensuring the delivery of energy retrofit projects and lack of proactive guidance for project teams to ensure that they make the right decisions at the right time to achieve the desired outcomes. Since many energy retrofit projects in existing hotels are carried out with the involvement of an external contractor, or an Energy Service Company (ESCO), this study focuses on investigating the decision-making process in implementing energy retrofits when the project is outsourced to an external party. An in-depth case study is used to obtain insights into the critical decisions to be taken and key activities to be performed throughout the decision-making process. The findings are used to propose a step-by-step decision-making process comprising of three key phases: i.e., pre-retrofit, retrofit implementation and post-retrofit. It is hoped that the decision-making process developed in this study will serve as a roadmap for the effective adoption and implementation of energy retrofits in existing hotel buildings when an external contractor is involved.

On Some Advancements within Certain Multicriteria Decision Making Support Methodology

2013 ◽  
Vol 2 (2) ◽  
pp. 143 ◽  
Author(s):  
Pawel Tadeusz Kazibudzki ◽  
Andrzej Z Grzybowski
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Multicriteria Decision Making ◽  
Scientific Paper ◽  
Analytic Hierarchy ◽  
Management Activity ◽  
Multicriteria Decision ◽  
Managerial Decisions ◽  
The Right ◽  
Decision Making Support

Deriving true priority vectors from intuitive pairwise comparison matrices (PCMs) and consistency measurement of decision makers judgments about their genuine weights are crucial issues within the multicriteria decision making support methodology called Analytic Hierarchy Process (AHP). The most popular procedure in the ranking process, constitutes the Right Eigenvector Method (REV). The inventor of the AHP convinces that as long as inconsistent PCMs are allowed in the AHP none of the other existing procedures qualify and the REV provides the only right solution in this process. The objective of this scientific paper is to examine if the former opinion can be considered as experimentally confirmed. For this purpose it was decided to apply Monte Carlo methodology. However, rather than simulate and analyze simulations results for a single PCM, as it has been done so far by many other authors, we decided to design and analyze computer simulations results for a singular model of the AHP framework. Our findings lead to inevitable conclusion that the REV cannot longer be perceived as a dominant procedure within the AHP methodology, especially when nonreciprocal PCMs are considered. It was verified empirically in our research that in the situation when nonreciprocal PCMs are considered the REV impoverishes the entire AHP methodology by its lack of PCMs inconsistency measure in such cases. Moreover, it provides less accurate rankings for a particular decision in comparison to other presented methods. It was also unequivocally verified that the enforced reciprocity of PCM leads directly to worse estimates of priorities weights. Altogether, it seems very important from the perspective of methodology supporting multicriteria decision making, the crucial process embedded in most of management activity. In the consequence, because the REV recedes other prioritization procedures available for the AHP methodology, it is advised to consider them instead, especially under some circumstances of an important and very tight managerial decisions.

scholarly journals A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110401
Author(s):  
Pınar Miç ◽  
Z. Figen Antmen
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Sensitivity Analyses ◽  
Population Increase ◽  
Location Selection ◽  
Order Preference ◽  
Criteria Weights ◽  
Product Assessment ◽  
The Right ◽  
The University

With the growing population increase and following young population’s desire to study at the university, political authorities are supporting university and higher education investments, especially in the last 10 years. This situation has increased the number of universities considerably. Because a university will provide socioeconomic dynamism to both the development of the country and the region, choosing the right university location has become a significant problem nowadays. In line with this, this study is focused on supporting the new university location decision in a wide region in Turkey where currently the number of universities in the region is relatively low despite the high population density in the area. Alternative cities to be utilized in the study are determined particularly taking the demographic structure into consideration and various multicriteria decision-making (MCDM) techniques are applied. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Weighted Aggregated Sum Product Assessment (WASPAS), and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) are applied to a real case study. Related criteria and alternative locations are specified by consulting seven experts. Within the study, both the results of these methods are presented, and also sensitivity analyses are conducted to observe how sensitive the results are to the changes in the criteria weights. The results obtained are purposed to aid decision makers in this field.

scholarly journals Fuzzy AHP-TOPSIS multi-criteria decision analysis applied to the Indus Reservoir system in Pakistan

2020 ◽  
Vol 20 (5) ◽  
pp. 1933-1949
Author(s):  
Shahmir Janjua ◽  
Ishtiaq Hassan
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Multicriteria Decision Making ◽  
Decision Support Tool ◽  
Multi Criteria Decision Making ◽  
Indus River ◽  
Support Tool ◽  
Reservoir System ◽  
Weight Calculation

Abstract The ranking of the reservoirs in Pakistan is an important decision and it has a vital impact on the sustainability of the region and the economic operation of the reservoir. The reservoirs ranking is a vital problem which involves multi-criteria decision-making. The framework proposed in this paper involves the fuzzy AHP-TOPSIS method for the ranking of reservoirs in Pakistan. Potential feasible locations are identified from the Water and Power Development Authority, Pakistan. Weight calculation for the criteria is done by the fuzzy AHP method, which is a multi-criteria decision-making method. In order to model the fuzziness, equivocacy, incomplete knowledge and ambiguity, the fuzzy AHP is used. Furthermore, in order to rank the selected reservoirs based on their performance, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied, which is a multicriteria decision making method. We demonstrate the application of the above-mentioned methods to the case study of the Indus Reservoir system in Pakistan. A decision support tool is provided for the decision makers in this paper to manage, evaluate and rank the planned reservoirs in the Indus River.

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