scholarly journals An Integrated Decision-Making Approach for Cause-And-Effect Analysis of Sustainable Manufacturing Indicators

2020 ◽  
Vol 12 (4) ◽  
pp. 1517
Author(s):  
Neeraj Bhanot ◽  
Fahham Hasan Qaiser ◽  
Mohammed Alkahtani ◽  
Ateekh Ur Rehman
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Quantitative Methods ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Manufacturing Companies ◽  
Effect Analysis ◽  
Final Cause ◽  
Cause And Effect ◽  
Cause And Effect Analysis

Sustainability is a growing concern for manufacturing companies, as they are major contributors to pollution and consume a substantial portion of the world´s natural resources. Sustainable manufacturing can reduce waste, conserve energy and increase resource efficiency. However, one of the main challenges facing manufacturing organisations to put sustainability into practice is the lack of understanding of the cause-and-effect relationships between critical indicators of sustainable manufacturing. To overcome this challenge, a novel, rigorous and integrated framework, composed of four quantitative methods, is proposed to analyse critical indicators of sustainable manufacturing. The analysis is based on responses from both academic and industry experts. These four methods including DEMATEL (decision-making trial and evaluation laboratory), the MMDE (maximum mean de-entropy) algorithm, ISM (interpretive structural modelling) and SEM (structural equation modelling) are uniquely integrated to present statistically validated relationships between critical indicators using information on varying degrees of relationship between them. The final cause-and-effect models for the respondent groups (i.e., researchers and industry experts) are further validated through gathering the viewpoints of a researcher and an industry practitioner for its robustness. The novelty of our research lies in: (1) proposing a novel and integrated rigorous quantitative framework combined with qualitative research method; (2) applying the proposed framework to analyse contextual relationships between critical indicators of implementing sustainability, in the manufacturing sector as a whole, which to the best of authors’ knowledge is the first of its kind; and (3) comparing and contrasting results of researchers and industry practitioners’ groups along with a check of their validation and robustness.

scholarly journals Predicting performance – a dynamic capability view

2018 ◽  
Vol 38 (11) ◽  
pp. 2192-2213 ◽  
Author(s):  
Marcus F. Hasegan ◽  
Sai Sudhakar Nudurupati ◽  
Stephen J. Childe
Keyword(s):  
Decision Making ◽  
Tacit Knowledge ◽  
Dynamic Capabilities ◽  
Hybrid Approach ◽  
Performance Measurement System ◽  
Decision Making Process ◽  
Effect Analysis ◽  
Content Type ◽  
Cause And Effect ◽  
Cause And Effect Analysis

PurposeProduction planning and resource allocation are ongoing issues that organisations face on a day-to-day basis. The purpose of this paper is to address these issues by developing a dynamic performance measurement system (DPMS) to effectively re-deploy manufacturing resources, thus enhancing the decision-making process in optimising performance output. The study also explores the development of dynamic capabilities through exploitation of the organisational tacit knowledge.Design/methodology/approachThe study was conducted using six-stage action research for developing DPMS with real-time control of independent variables on the production lines to study the impact. The DPMS was developed using a hybrid approach of discrete event simulation and system dynamics by using the historical as well as live data from the action case organisation.FindingsThrough the development of DPMS and by combining the explicit and tacit knowledge, this study demonstrated an understanding of using cause and effect analysis in manufacturing systems to predict performance. Such a DPMS creates agility in decision making and significantly enhances the decision-making process under uncertainty. The research also explored how the resources can be developed and maintained into dynamic capabilities to sustain competitive advantage.Research limitations/implicationsThe present study provides a starting-point for further research in other manufacturing organisations to generalise findings.Originality/valueThe originality of the DPMS model comes from the approach used to build the cause and effect analysis by exploiting the tacit knowledge and making it dynamic by adding modelling capabilities. Originality also comes from the hybrid approach used in developing the DPMS.

scholarly journals Substitution of Material Solutions in the Operating Phase of a Building

2021 ◽  
Vol 11 (6) ◽  
pp. 2812
Author(s):  
Anna Sobotka ◽  
Kazimierz Linczowski ◽  
Aleksandra Radziejowska
Keyword(s):  
Decision Making ◽  
Laboratory Method ◽  
Historic Buildings ◽  
Construction Technology ◽  
Construction Sector ◽  
Effect Analysis ◽  
Material Substitution ◽  
Cause And Effect ◽  
Cause And Effect Analysis ◽  
Operational Phase

During the operation of buildings, repairs, modernizations, adaptations, renovations, and reconstructions of parts of historic objects are performed. There is often the problem of using a different material or construction technology than was originally used, for a variety of reasons. For example, these are materials not currently manufactured, with necessary higher performance values (insulation, strength). The aim of the article was to analyze and evaluate the possibility of material substitution in repair works and to analyze the cause and effect analysis of its application in the context of different conditions. The article analyzes the causes and conditions of the substitution of materials in various stages of the exploitation phase of buildings, including historic buildings. A SWOT (Strengths, Weaknesses, Opportunities, Threats) matrix was developed for the phenomenon of material substitution during the operational phase. With aid from the DEMATEL (Decision Making Trial and Evaluation Laboratory) method, identification of cause–effect relationships regarding the issue of the possibility of applying the substitution of material solutions in building objects was carried out. The analysis carried out by the authors allows us to conclude that the use of substitution in the construction sector is justified and shows great opportunities in its implementation and development.

Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

Sustainable Manufacturing in the Era of Industry 4.0

2021 ◽  
pp. 1807-1815
Author(s):  
Ravinder Kumar
Keyword(s):  
Information Technology ◽  
Natural Resources ◽  
Industry 4.0 ◽  
Developing Economies ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
International Level ◽  
Cause And Effect ◽  
Manufacturing Organizations ◽  
Effective Analysis

This is an era of information technology and Industry 4.0 in the manufacturing sector. Globalization and spread of technology have leveled the field of competition among all economies. With aforementioned development, there is a need for sustainable manufacturing practices to justify the use of natural resources all over the globe. Both developed and developing economies should adopt the sustainable practices of manufacturing. On other hand, managing challenges of sustainable manufacturing is an uphill task for manufacturing organizations for several reasons. In this chapter, the author has analyzed the challenges of sustainable manufacturing by using DEMATEL technique to differentiate them in cause and effect challenges. This differentiation can further help in effective analysis of these challenges. From practical and managerial viewpoints, this study can help the policymakers and strategy planners of manufacturing organizations in better understanding of sustainability and its aspects. Further, it can help in developing policies on sustainable manufacturing on national and international level both in developed and developing economies.

scholarly journals Modeling Work Practices under Socio-Technical Systems for Sustainable Manufacturing Performance

2019 ◽  
Vol 11 (16) ◽  
pp. 4294 ◽  
Author(s):  
Muhammad Imran Qureshi ◽  
Rajah A/l Rasiah ◽  
Basheer M. Al-Ghazali ◽  
Maqsood Haider ◽  
Hanifah Jambari ◽  
...  
Keyword(s):  
Structural Equation ◽  
Manufacturing Sector ◽  
Technological Development ◽  
Sustainable Manufacturing ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Environmental Damage ◽  
Management Support ◽  
Manufacturing Performance ◽  
Social Environmental

In light of the overwhelming consumption of resources by the manufacturing sector, this paper examined three key subsystems that are critical in greening the sector. Whereas the extant literature has focused on technological development to reduce environmental damage, it has not analyzed profoundly how manufacturing processes can be greened effectively. Hence, using carefully gathered data of 299 respondents and structural equation modeling, this paper sought to investigate the mediating effect of social, environmental, and technical subsystems on the relationship between management support and sustainable manufacturing performance. The results show that management support has a positive relationship with sustainable manufacturing performance (p < 0.005), while social, environmental, and technical subsystems partially mediate this relationship. Hence, efforts must be taken to encourage management of manufacturing firms to support sustainable management performance, while at the same time supporting them to introduce innovative social, environmental, and technical practices.

scholarly journals Cause-and-Effect Analysis as a Tool To Improve the Reproducibility of Nanobioassays: Four Case Studies

2019 ◽  
Vol 33 (5) ◽  
pp. 1039-1054 ◽  
Author(s):  
Elijah J. Petersen ◽  
Cordula Hirsch ◽  
John T. Elliott ◽  
Harald F. Krug ◽  
Leonie Aengenheister ◽  
...  
Keyword(s):  
Case Studies ◽  
Effect Analysis ◽  
Cause And Effect ◽  
Cause And Effect Analysis
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