A multi-criteria decision making approach to the new product development process in industry

Youssef, Mohamed; Webster, Barry

doi:10.31181/rme2001260122y

Cited by 21 publications

(11 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The outcomes of MCDM models often become unstable because of sudden changes in the governing conditions, such as changes in the criteria set, variations in the weights, selection of the alternatives, and addition/removal of elements of the decision matrix [ 62 , 63 , 64 , 65 , 66 , 67 , 68 ]. Therefore, it is important to carry out a sensitivity analysis (SA) to examine the stability of the solution.…”

Section: Resultsmentioning

confidence: 99%

A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers

Biswas

Sanyal

Božanić

et al. 2023

Entropy

View full text Add to dashboard Cite

The subject of this research is the evaluation of electric cars and the choice of car that best meets the set research criteria. To this end, the criteria weights were determined using the entropy method with two-step normalization and a full consistency check. In addition, the entropy method was extended further with q-rung orthopair fuzzy (qROF) information and Einstein aggregation for carrying out decision making under uncertainty with imprecise information. Sustainable transportation was selected as the area of application. The current work compared a set of 20 leading EVs in India using the proposed decision-making model. The comparison was designed to cover two aspects: technical attributes and user opinions. For the ranking of the EVs, a recently developed multicriteria decision-making (MCDM) model, the alternative ranking order method with two-step normalization (AROMAN), was used. The present work is a novel hybridization of the entropy method, full consistency method (FUCOM), and AROMAN in an uncertain environment. The results show that the electricity consumption criterion (w = 0.0944) received the greatest weight, while the best ranked alternative was A7. The results also show robustness and stability, as revealed through a comparison with the other MCDM models and a sensitivity analysis. The present work is different from the past studies, as it provides a robust hybrid decision-making model that uses both objective and subjective information.

show abstract

Section: Resultsmentioning

confidence: 99%

A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers

Biswas

Sanyal

Božanić

et al. 2023

Entropy

View full text Add to dashboard Cite

show abstract

“…e Dombi Bonferroni mean operators of neutrosophic cubic hesitant fuzzy sets will be established. e Dombi exponential laws and Dombi exponential aggregation operators for Pythagorean fuzzy sets and picture hesitant fuzzy sets will be established [51][52][53][54][56][57][58][59][60].…”

Section: Discussionmentioning

confidence: 99%

“…Riaz and Farid [50] established picture fuzzy aggregation approach and applied it to the third-party logistic provider selection process. Several researchers [51][52][53][54], proposed useful techniques and successfully applied their models to solve decision-making problems.…”

Section: Introductionmentioning

confidence: 99%

Novel Development to the Theory of Dombi Exponential Aggregation Operators in Neutrosophic Cubic Hesitant Fuzzy Sets: Applications to Solid Waste Disposal Site Selection

et al. 2022

View full text Add to dashboard Cite

The neutrosophic cubic hesitant fuzzy set can efficiently handle the complex information in a decision-making problem because it combines the advantages of the neutrosophic cubic set and the hesitant fuzzy set. The algebraic operations based on Dombi norms and co-norms are more flexible than the usual algebraic operations as they involve an operational parameter. First, this paper establishes Dombi algebraic operational laws, score functions, and similarity measures in neutrosophic cubic hesitant fuzzy sets. Then, we proposed Dombi exponential operational laws in which the exponents are neutrosophic cubic hesitant fuzzy values and bases are positive real numbers. To use neutrosophic cubic hesitant fuzzy sets in decision-making, we are developing Dombi exponential aggregation operators in the current study. In the end, we present applications of exponential aggregation operators in multiattribute decision-making problems.

show abstract

“…With that said, this study is meant to explore various tools to integrate health and safety, quality management and stewardship systems and controls to improve manufacturing plant standards and business results. It is also important to highlight that the implementation of artificial intelligence and optimization techniques has also been found effective for evaluation, monitoring, and enhancement of quality for various business sectors (Fučić et al, 2022;Kovačić et al, 2022;Mišić et al, 2023;Youssef and Webster, 2022;Wang and Dong, 2023).…”

mentioning

confidence: 99%

An integrated framework for improving safety, quality, and stewardship standards in manufacturing: A case study

Phalane,

Gupta

2023

Rep. Mech. Eng.

View full text Add to dashboard Cite

Health and safety, quality assurance, and stewardship control, when integrated together, can streamline systems and work processes, reduce bureaucracy and increase efficiency. In this study, efficiency increase refers to improving and maintaining high standards of demarcation, housekeeping, no blocked safety equipment, tools storage conditions, good manufacturing practices and chemical storage conditions. Using industrial engineering tools, Plan-Do-Check-Act and Kaizen, the study illustrates a quick turnaround in standards improvement in a manufacturing plant, which resulted in culture change and increasing profitability. The manufacturing plant studied had below average standards that created health and safety hazards leading to incidents, created a risk of quality and stewardship systems failure. Incidents varied from minor to serious. With improved standards, the plant avoided and eliminated health amd safety, quality, and stewardship risks in critical areas such as production or operations floor, warehouse, laboratory, storeroom, utilities area, and workshop. This was achieved through the integration of health and safety, quality assurance and stewardship controls as one safety, quality, and stewardship (SQS) framework. The three are denoted as fundamentals and core foundation systems in a manufacturing environment in this study. An SQS tool was developed, tested, and implemented and results are shared. Implementation of the tool resulted in improvement of overall manufacturing plant standards, elimination of safety hazards, reduction of quality defects and scrap, eradication of internal controls issues, and business success. The study will be of great value for manufacturing plants who are looking to integrate more than two management systems.

show abstract

A multi-criteria decision making approach to the new product development process in industry

Cited by 21 publications

References 6 publications

A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers

A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers

Novel Development to the Theory of Dombi Exponential Aggregation Operators in Neutrosophic Cubic Hesitant Fuzzy Sets: Applications to Solid Waste Disposal Site Selection

An integrated framework for improving safety, quality, and stewardship standards in manufacturing: A case study

Contact Info

Product

Resources

About