An MCDM framework for assessment of social sustainability indicators of the freight transport industry under uncertainty. A multi-company perspective

Uncertainties Influencing Transportation System Performances

The design and operation of transportation systems, as with any large complex technical system, are marked by indetermination—risks and uncertainties (scientific/methodologic and/or socio-economic). This paper analyzes the occurrence and consequences of uncertainties, defined as completely unknown random events (“unknown unknowns”), on transportation system performances. Interest in the topic is justified by the considerable value and long life of transportation system components. In order to reduce the effects of uncertainties, a holistic approach to all technical infrastructures in society, regardless of the flow category (material, energy, information), is necessary. Technological progress and changes in territorial activity systems historically confirm the dynamism of the competition and complementarity relations between civil and industrial infrastructures and transport infrastructures, as well as among different modal transport/traffic infrastructures. Declining discount rates are applied to compensate for the effects of uncertainties on investment project opportunities on long time horizons. There is no unanimous agreement on the discount rate values. Unforeseen exogenous events are considered differentiated/non-systemic or undifferentiated/systemic uncertainties. They can have significant consequences on the performance of a transport system, including a change in the transport market share. Therefore, an adaptive policy is required to reduce the methodological/scientific and socio-economic uncertainties that affect the design and operation of any transportation system.

Ergonomics indicators: A proposal for sustainable process performance measurement in ergonomics

Process performance measurement (PPM) has become a challenging task for organisations, which have many various processes, in today's globalised world. This challenging task is also remarkable in ergonomics, and combining sustainability with ergonomics can provide beneficial solutions for assessing risks and providing ergonomically favourable conditions for human well-being. In this paper, new ergonomics indicators (EIs) are proposed, classified, and described in detail to overcome this challenge through a systematic literature review that integrates ergonomics and sustainability. By considering sustainability indicators (SIs) selected from the review, the proposed EIs are presented within a three-dimensional structure. This structure enables measuring the performance on various issues in an organisation such as occupational health and safety, decent work, technology, working conditions, employee empowerment and development, charities, innovations, and recycling. Through systematic measurements using these indicators, more traceable and manageable processes can be achieved. Hence, ergonomists or managers can identify and prevent risky conditions practically. Practitioner Summary: This paper proposes ergonomics indicators and detailed descriptions for ensuring sustainable process performance measurement in ergonomics. The sustainability indicators presented as references for these proposals are utilised through selection and consolidation from literature. The ergonomics indicators are structured within a sustainability framework that considers six sustainability sub-dimensions proposed for ergonomics.

A Rough-Fermatean DEMATEL Approach for Sustainable Development Evaluation for the Manufacturing Industry

With the increasing awareness of the importance of sustainable development, the evaluation of sustainability performance for the manufacturing has become an emerging issue of importance. Although many scholars have studied the issue of enterprise sustainability, to date, the institutional and risk control perspectives of sustainability have received less attention, particularly in manufacturing practices. To address research gap, this study develops a comprehensive framework for evaluating enterprise sustainability that encompasses the economic, social, environmental, institutional, and risk control dimensions. A novel group decision-making approach, called the Rough-Fermatean Fuzzy Decision-Making Trial and Evaluation Laboratory technique is proposed, which identifies the mutual relationships among the 15 evaluation criteria and generates the influence weights. Fermatean fuzzy theory is used to reflect the subjective judgment of experts and the inherent uncertainty in evaluation. Moreover, rough set theory is used to aggregate the multiple experts’ opinions and to retain potential information in the form of interval values. A case study of Taiwan’s electronics manufacturers is carried out to demonstrate the practicality and validity of the proposed approach. The results show that goodwill and corporate image, zero emission of pollutants and waste discharge, and corporate governance are the most influential sustainability criteria. This study can assist decision-makers in the manufacturing sector in developing more appropriate improvement strategies. Enterprises can improve their competitiveness and move towards sustainable development by first focusing on the more influential criteria. For academic researchers, the proposed framework and methodology can be applied to the discussion of sustainability evaluation in other industries.

An Ecological Sustainability Assessment Approach for Strategic Decision Making in International Shipping

Relatively little attention is currently paid to understanding the ecological impacts of international shipping, although ecological sustainability has become a necessary condition for developing international trade. Sustainability assessment, which identifies the sustainability-oriented effects of developmental activities for supporting decision-making, has been widely used. This study attempts to propose an ecological sustainability assessment approach to serve international shipping development based on the general assessment steps initiated by the OECD and the multi-dimensional decision making (MDDM) model. Compared with the existing sustainability assessment methods, the proposed approach is unlikely to be restricted to data acquisition, indicators evaluation, or causal recognition. Through a case study, the results recommend not only to prioritize avoiding the negative impacts of international shipping on noise, air, plants, water, and animals but also to promote continuous improvement of the local ecosystem and international shipping, particularly in the conditions of sediment and micro-organism communities of Xiamen. This proposed approach as a supplement to the current sustainability assessment methodology helps to make informative and integrative strategic sustainability decisions associated with international shipping.

Identification of Workplace Social Sustainability Indicators Related to Employee Ergonomics Perception in Indonesian Industry

Sustainability indicators have provided a breakthrough for companies to assess their performance in supporting corporate sustainability. There is no standard framework for these support-defining indicators to conduct a social sustainability performance assessment. There is a limitation of quantitative social sustainability indicators appropriate for performing ergonomic concept assessments. Ergonomics, as a field concerning people and their interactions with the environment, in particular, the workplace, can play a role in social sustainability, besides its conventional approach of workplace re-engineering. Three major areas of ergonomics were analyzed. The indicators were established based on a review of the literature and confirmed using a factor analysis that covered all major aspects of workplace ergonomics. The factor analysis aimed to reduce the complexity of workplace social sustainability indicators related to ergonomics. The final result integrated 73 indicators into 17 indicators based on three major areas of ergonomics. The findings showed that the best workplace social sustainability indicators were divided into five factors: employee well-being, safety concerns, workplace comfort, musculoskeletal health, and environmental concerns. It would be very beneficial for the industry and the government to support corporate social sustainability and the global sustainability index.

A Comparative Evaluation of Multi-Criteria Analysis Methods for Sustainable Transport

The article pertains to the utilization of the application potential of MCDM/MCDA (Multi-Criteria Decision Making/Multi-Criteria Decision Analysis) methods in decision-making problems in the field of transport in light of sustainable development. The article consists of a theoretical and an empirical part. As part of the literature studies, a review was carried out on the latest applications of MCDM/MCDA methods for decision-making problems in the field of transport. In the empirical part, a multi-criteria analysis of the placement selection for a strip of expressway located in north-eastern Poland was carried out. For this purpose, a hybrid approach was used, consisting of three selected MCDM/MCDA methods: DEMATEL, REMBRANDT, and VIKOR. The ranking was compared with the results achieved in the EIA report of the investment and the results were obtained by using a different set of MCDM/MCDA methods that were proposed in the first part of the research, i.e., AHP, Fuzzy AHP, TOPSIS, and PROMETHEE. The performed multi-criteria analyses allowed for an eventual multi-dimensional evaluation of the most popular MCDM/MCDA methods currently applied in the field of transport.

Benchmarking framework for sustainable manufacturing based MCDM techniques

Purpose

The purpose of this paper is to develop a model for sustainable manufacturing by adopting a combined approach using AHP, fuzzy TOPSIS and fuzzy EDAS methods. The proposed model aims to identify and prioritize the sustainable factors and technical requirements that help in improving the sustainability of manufacturing processes.

Design/methodology/approach

The proposed approach integrates both AHP, Fuzzy EDAS and Fuzzy TOPSIS. AHP method is used to generate the weights of the sustainable factors. Fuzzy EDAS and Fuzzy TOPSIS are applied to rank and determine the application priority of a set of improvement approaches. The ranks carried out from each MCDM approach is assessed by computing the spearman's correlation coefficient.

Findings

The results reveal the proposed model is efficient in sustainable factors and the technical requirements prioritizing. In addition, the results carried out from this study indicate the high efficiency of AHP, Fuzzy EDAS and Fuzzy TOPSIS in decision making. Besides, the results indicate that the model provides a useable methodology for managers' staff to select the desirable sustainable factors and technical requirements for sustainable manufacturing.

Research limitations/implications

The main limitation of this paper is that the proposed approach investigates an average number of factors and technical requirements.

Originality/value

This paper investigates an integrated MCDM approach for sustainable factors and technical requirements prioritization. In addition, the presented work pointed out that AHP, Fuzzy EDAS and Fuzzy TOPSIS approach can manipulate several conflict attributes in a sustainable manufacturing context.

The Social Dimensions of Corporate Sustainability: An Integrative Framework Including COVID-19 Insights

Corporate sustainability is considered a fundamental paradigm and solution in creating a prosperous future for organizations. However, social sustainability issues and pandemic problems from COVID-19 have affected corporations and interrupted plans for sustainable development. To date, corporate sustainability frameworks have taken a relatively narrow view of this paradigm. This study highlights serious challenges to corporate sustainability while providing a framework in an attempt to enable more sustainable business practices. To fill the gap in the literature, we have developed a framework to organize and prioritize important sustainability indicators. The first phase of the study involves the classification of 45 sub-criteria of corporate sustainability under nine main categories by using a literature review and novel Fuzzy Delphi method. The resulting categories are Corporate Governance, Product Responsibility, Transparency and Communication, Economic, Environmental, Social, Natural Environment and Climate Vulnerability, Energy Consumption along with Energy Saving, and includes Pandemic COVID-19 as a new aspect of social sustainability. Next, we applied the Fuzzy Analytical Hierarchical Process (FAHP) to help determine the weights and prioritizing the criteria and sub-criteria. The results revealed that the Pandemic, along with the Natural Environment and Climate Vulnerability, ranked higher among the main criteria category. Whereas, emergency response planning, social distances, modification of working hours, and just-in-time delivery are the most influencing sub-attributes among the 45 sub-barriers of different categories. Contributions of this study include new insights regarding corporate sustainability criteria and subcriteria, application of novel methods, and integrated framework for dimensions of corporate sustainability. This study is among the first of its kind to consider the COVID-19 pandemic as an essential category and social sustainability attribute of corporate sustainable business practices. Outcomes of this study can help assist scholars, corporations, and decision-makers in understanding sustainable development initiatives while simultaneously improving social sustainability practices.