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.

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 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

scholarly journals Container Ship Accident Analysis due to Container Stacked on Deck as an Attempt to Improve Maritime Logistic System

2019 ◽  
Vol 130 ◽  
pp. 01010
Author(s):  
Gafero Priapalla Rahim ◽  
Sunaryo
Keyword(s):  
World Trade ◽  
Human Factor ◽  
Accident Analysis ◽  
Container Ship ◽  
Literature Study ◽  
Effect Analysis ◽  
Cause And Effect ◽  
Related Information ◽  
Cause And Effect Analysis ◽  
Safety Rules

This paper analyses factors that might cause accidents to the container ships due to containers stacked on deck, and propose applicable actions to minimize these factors. The number, capacity, and speed of hatch-coverless container ships worldwide have increased significantly since the latest decade due to the increase of world trade. There is also a trend of stacking more containers on deck in order to increase the capacity of the ships. This phenomenon makes the number of container ship accidents also increasing; particularly capsize or sink. Even though merchant ships have to comply with safety rules and regulations, but the number of accidents still significantly high. The accidents usually cause great loses to the cargo and damage the overall logistic system. The sources of container ship accidents can be categorized into the ship itself, the environment, human factor, and management. In this study, accidents data and related information were gathered through literature study, on the spot observation, and direct interviews with relevant parties. Causes of accidents were then identified using cause and effect analysis. Based on the findings from the analysis, options for overcoming them were simulated to obtain the most applicable solutions that would minimize the accidents.

Cause and Effect Analysis of Closed Claims in Obstetrics and Gynecology

2005 ◽  
Vol 105 (5, Part 1) ◽  
pp. 1031-1038 ◽  
Author(s):  
Andrew A. White ◽  
James W. Pichert ◽  
Sandra H. Bledsoe ◽  
Cindy Irwin ◽  
Stephen S. Entman
Keyword(s):  
Obstetrics And Gynecology ◽  
Effect Analysis ◽  
Cause And Effect ◽  
Cause And Effect Analysis ◽  
Closed Claims

A cause-and-effect analysis of robot accidents

1987 ◽  
Vol 9 (1) ◽  
pp. 27-45 ◽  
Author(s):  
Bernard C. Jiang ◽  
Charles A. Gainer
Keyword(s):  
Effect Analysis ◽  
Cause And Effect ◽  
Cause And Effect Analysis
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