AHP-based Identification of Tools for Sustainable Product Development

Saraf, Chinmay; Agrawal, Sachin S.; Barodiya, Dharmesh; Shrivastava, Pankaj; Verma, Tikendra Nath

doi:10.1007/978-981-16-8341-1_46

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Data-driven approaches for product sustainability assessment use often methodologies related to quality function deployment and multi-attribute utility theory [41], analytical hierarchy process [42][43][44], fuzzy analytical hierarchy process [9], analytical network process [45], case-based reasoning [46], and multi-criteria decision analysis [47][48][49]. A comprehensive literature review of data-driven approaches in achieving sustainable development goals in developed, emerging, and developing countries is presented in [50].…”

Section: Data-driven Approaches For Sustainable Product Developmentmentioning

confidence: 99%

A Data-Driven Approach for Improving Sustainable Product Development

Relich

2023

Sustainability

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A product’s impact on environmental issues in its complete life cycle is significantly determined by decisions taken during product development. Thus, it is of vital importance to integrate a sustainability perspective in methods and tools for product development. The paper aims at the development of a method based on a data-driven approach, which is dedicated to identifying opportunities for improving product sustainability at the design stage. The proposed method consists of two main parts: predictive analytics and simulations. Predictive analytics use parametric models to identify relationships within product sustainability. In turn, simulations are performed using a constraint programming technique, which enables the identification of all possible solutions (if there are any) to a constraint satisfaction problem. These solutions support R&D specialists in finding improvement opportunities for eco-design related to reducing harmful impacts on the environment in the manufacturing, product use, and post-use stages. The results indicate that constraint-satisfaction modeling is a pertinent framework for searching for admissible changes at the design stage to improve sustainable product development within the full scope of socio-ecological sustainability. The applicability of the proposed approach is verified through an illustrative example which refers to reducing the number of defective products and quantity of energy consumption.

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Section: Data-driven Approaches For Sustainable Product Developmentmentioning

confidence: 99%

A Data-Driven Approach for Improving Sustainable Product Development

Relich

2023

Sustainability

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“…The fourth level refers to supporting analysts in solving a considered problem, for instance, design optimization, energy optimization, and quality improvement. Data-driven approaches dedicated to the evaluation of sustainable manufacturing and product development are often based on methodologies referred to as an analytical hierarchy process [38][39][40][41] and a multi-criteria decision analysis [25,[42][43][44][45][46].…”

Section: Data-driven Approaches and Business Analyticsmentioning

confidence: 99%

Predictive and Prescriptive Analytics in Identifying Opportunities for Improving Sustainable Manufacturing

Relich

2023

Sustainability

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Environmental issues and sustainability performance are more and more significant in today’s business world. A growing number of manufacturing companies are searching for changes to improve their sustainability in the areas of products and manufacturing processes. These changes should be introduced in the design process and affect the whole product life cycle. This paper is concerned with developing a method based on predictive and prescriptive analytics to identify opportunities for increasing sustainable manufacturing through changes incorporated at the product design stage. Predictive analytics uses parametric models obtained from regression analysis and artificial neural networks in order to predict sustainability performance. In turn, prescriptive analytics refers to the identification of opportunities for improving sustainability performance in manufacturing, and it is based on a constraint programming implemented within a constraint satisfaction problem (CSP). The specification of sustainability performance in terms of a CSP provides a pertinent framework for identifying all admissible solutions (if there are any) of the considered problem. The identified opportunities for improving sustainability performance are dedicated to specialists in product development, and aim to reduce both resources used in manufacturing and negative effects on the environment. The applicability of the proposed method is illustrated through reducing the number of defective products in manufacturing.

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“…They establish a sustainable product development process (SPDP) matrix, which can guide the fashion supply chain members to operate in a sustainable manner during the SPDP. In addition, [5] conducted a literature review to identify various used sustainable product design tools. Further, they ranked the tools using an analytical hierarchy process.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Multi-Criteria Decision Making Methods Application in Sustainable Product Design

Guebsi

Zouari

2022

Spekta

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Background: Integrating sustainability development' aspects in the design process is becoming, a growth area in companies. Consequently, sustainable product design has to consider the different aspects of sustainability throughout its life cycle phases in addition of other requirements. This integration is becoming more complicated due the difficulty of managing the constraints and alternatives related to the product and stakeholders needs. This study aims to highlights the most used Multi-Criteria Decision Making (MCDM) tools and methods used in sustainable product design process. Contribution: Product design process involves interesting decisional tasks such as the choice of materials, standard parts, technical solutions. Hence, the contribution of this work is to help designer to adopt relevant MCDM tools and methods that can be integrated to other tools to facilitate and to justify their decisional tasks. Method: Several methods have been affected to solve the problems related to this complexity such as MCDM. A literature review was conducted based on Siencedirect and GoogleScholar articles databases. After filtering more than 200 articles only 62 articles were considered to analyze the correlation between sustainable product design and MCDM. Results: Classified MCDM use according to the type of choices to achieve SPD goals. This paper allowed us to find matches between MCDM methods and SPD problem. The majority of case studies result show that a large portion of sustainable design methods, techniques, and tools are applied to the sustainable product’ along its different life cycle phases Conclusion: It is noticed that the use of MCDM methods are an important outcome in the sustainable product design process and deeply helps designers to make suitable choices. Also, several matches relating MCDM, other methods and sustainable product design sphere are discussed

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AHP-based Identification of Tools for Sustainable Product Development

Cited by 3 publications

References 11 publications

A Data-Driven Approach for Improving Sustainable Product Development

A Data-Driven Approach for Improving Sustainable Product Development

Predictive and Prescriptive Analytics in Identifying Opportunities for Improving Sustainable Manufacturing

Investigation on Multi-Criteria Decision Making Methods Application in Sustainable Product Design

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