An analytical technique to model and assess sustainable development index in manufacturing enterprises

Sustainable development (SD) will be the driving force to Twenty-first Century as automation was to the Twentieth Century and stream was to Nineteenth Century. There are two levels of sustainability: Macro-Level (country, cities) and Micro-Level (manufacturing enterprises and its town and regional areas). In this paper, Micro-Level of sustainability will be discussed. The major challenge of manufacturing enterprises is modelling and assessing the sustainable development performance. Introducing indexes for sustainable development assessment in manufacturing enterprises is important not only to enable them to quantitatively estimate SD, but also to determine the requirements of components for these enterprises to survive. The main objectives addressed in this paper is how to model the required components and how to introduce a new assessment framework for assessing sustainability from lowest levels, dimensions up to sustainable development level according to Micro-Level. The three pillars of sustainability (economic, social and environmental) are modelled, estimated and incorporated into a concept, the so-called ‘general sustainable development index’. Based on these concepts, the sustainable models will be analysed and presented through covering all aspects/issues of sustainability. The ultimate goal of this paper is considering the needs of manufacturing enterprise to be sustainable as well as to be globalised through introducing the concept of economic-social-environmental sustainable development and basic attitudes related to creating sustainable development value in engineering practices (economic), social (political) and environmental community. An industry-based case study is used to represent sustainability through aspects, performance metrics, indicators and pillars.     

The use of the Canberra metrics to aggregate metrics to sustainability

Sustainability metrics are a set of economic, environmental, and societal indicators specifically chosen to characterize a certain multidimensional sustainability system. The difficulty in establishing criteria to consider the multiple aspects involved in sustainability increases with the complexity of the system, in general associated to its dimension. This is particularly complicated for sustainability processes because they involve not only large dimensions but the indicators are usually expressed in different units. Aggregating these metrics into a single metric represents a model calculation for sustainability and provides a tool which can be used as a sustainability decision-support. In the present work we use the Canberra metrics to model the aggregation of the three dimensions of sustainability: economics, environmental, and societal (3D) metrics into a single sustainability metric. The Canberra metrics is adequate to establish how two states are similar or dissimilar. We used a simple model to show that the Canberra metrics is independent of any specific metric (indicator) satisfying an important requirement of sustainability metrics; it treats equally the contributions of the economic, social, and environmental indicators for the sustainability indicators. This allows equally weighting the economic, social, and environmental indicators. In order to verify the applicability of the model we have considered four previously studied industrial processes and compared the results of the Canberra metrics with three previously published results of other methods, for aggregating multidimensional sustainability metrics into a single metric. The results obtained through the comparisons indicate the adequacy of the Canberra to provide very good discrimination among the processes and to be a good model metrics for sustainability.     

Assessing sustainability when data availability limits real-time estimates: using near-time indicators to extend sustainability metrics

The goal of this paper is to highlight the problem of time lags in data releases that are necessary for calculating sustainability metrics and its effect on making informed management decisions. We produced a methodology to assess whether a regional system is on a sustainable path and tested it in south-central Colorado. We identified key components of the system and selected four sustainability metrics that measure those components. Metrics included: (1) ecological footprint (i.e., environmental burden), (2) green net regional product (GNRP) (i.e., economic well-being), (3) emergy (i.e., energy flows), and (4) Fisher information (i.e., dynamic order). Having calculated these metrics, we identified future research recommendations and limitations. One limitation was the delay between when an event occurred and when data on the event were released. Given, the recent push in government agencies for calculating sustainability metrics, finding solutions for the time lag will be important. To address this limitation, we explore the potential of using both sustainability metrics and indicators that are available near-time to provide decision makers with better decision support. For the pilot study in Colorado, the metric calculations were 3 years behind present. Using near-time indicators that are publicly available before the metrics can be calculated might help to predict the path of the metric. As an example, we examine if specific near-time indicators are correlated with ecological balance (a component of ecological footprint) and GNRP. We use Spearman rank correlations and scatter plots to identify the relationship of the metrics and near-time indicators in an exploratory analysis. We offer research recommendations to consider.     

Information infrastructures for on-line measurement of non-productive greenhouse gas emissions in manufacturing: case of the brewing industry

A novel information infrastructure designed to measure key components of the greenhouse gas emission ‘opportunity cost’ in a production environment is proposed. The data-driven metrics facilitate drill-down to provide visibility of constituent parts. Contemporary metrics typically focus on direct energy consumption and are often normalised against units of product produced. Such metrics have proven to be useful for monitoring trends in relative performance and for benchmarking against other plants. However, they typically do not provide visibility of energy consumption (carbon emissions) that did not directly contribute to the production of saleable product. With the community's ever increasing focus on sustainability and climate change, the environmental impact of industry has come under greater scrutiny. The proposed information infrastructure provides a new level of transparency enabling stakeholders to see the portion of utilities consumption (or greenhouse gas impact) that did not directly contribute to saleable product; the non-productive greenhouse gas emission impact in a manufacturing environment. A case study is included depicting results from a pilot implementation in a packaging line in a brewery.     

Fuzzy-based sustainable manufacturing assessment model for SMEs

Now-a-days, in the manufacturing, sustainability has become a necessity partly due to the threats created by traditional manufacturing practices, and due to regulations imposed by stakeholders. Sustainable manufacturing implies the creation of products that utilize minimum resources, has minimum negative impacts on environment and are safe for society at large at an affordable cost. This study proposes a fuzzy inference system-based model for the evaluation of manufacturing sustainability of small and medium enterprises (SMEs). In order to assess the manufacturing SMEs, decision makers’ opinion of the importance of sustainability measures and indicators and also the performance of enterprise with respect to indicators are gathered using linguistic variables. An illustrative list of sustainability indicators for manufacturing SMEs is identified considering the characteristics of SMEs. The implementation of our model for a manufacturing SME identified weak areas of performance which require appropriate strategy to enhance the overall sustainability. Based on the output of this assessment model and further deliberations with decision makers, case company is in process of selecting an appropriate strategy to reduce the environmental impacts. This model serves as a tool to assists the decision makers in assessing various dimensions of sustainability within their manufacturing SMEs.     

Industry and energy sectors in Flanders: environmental performance and response indicators

A number of indicators are evaluated and used to measure the environmental performance of the industry and energy sectors in Flanders and their progress towards sustainability: eco-efficiency, existence of a certified Environmental Management System, environmental expenditures, production of sustainable energy, environmental damage by electricity production, cost of environmental levies and number of registered complaints. The indicators are evaluated in relation with recently proposed frameworks and it is discussed whether the indicators are response or performance indicators; absolute or relative indicators.     

An integrated computer-aided system for generation and evaluation of sustainable process alternatives

This paper presents an integrated system for generation of sustainable process alternatives with respect to new process design as well as retrofit design. The generated process alternatives are evaluated through sustainability metrics, environmental impact factors as well as inherent safety factors. The process alternatives for new process design as well as retrofit design are generated through a systematic method that is simple yet effective and is based on a recently developed path flow analysis approach. According to this approach, a set of indicators are calculated in order to pinpoint unnecessary energy and material waste costs and to identify potential design (retrofit) targets that may improve the process design (in terms of operation and cost) simultaneously with the sustainability metrics, environmental impact factors and the inherent safety factors. Only steady state design data and a database with properties of compounds, including, environmental impact factor related data and safety factor related data are needed. The integrated computer-aided system generates the necessary data if actual plant or experimental data are not available. The application of the integrated system is highlighted through a number of examples including the well-known HDA process.     

Production of green energy from co-digestion: perspectives for the Province of Cuneo, energetic balance and environmental sustainability

In Italy and many European countries, energy production from biomass is encouraged by strong economic subsidies so that biomass energy plants are getting large diffusion. Nevertheless, it is necessary to define the environmental compatibility taking into account global parameters as well as environmental impacts at regional and local scales coming from new polluting emissions. The environmental balances regarding new energy plants are of primary importance within very polluted areas such as Northern Italy where air quality limits are systematically exceeded, in particular for PM₁₀, NO₂, and ozone. The paper analyzes the renewable energy scenario relating to manure anaerobic digestion and biogas production for the Province of Cuneo, N–W Italy, and the environmental sustainability of the possible choices. The study is focused on energy producibility, heat and power, nitrogen oxides and ammonia emissions, GHG (greenhouse gases) balances dealing also with indirect releases of CH₄ and N₂O, as well as emissions due to energy crops production. The most important conclusion that can be drawn is that the production of renewable energy from anaerobic digestion could cover up to 13 % of the Province electricity consumption, but sustainability in terms of CO₂ emissions can be reached only through an overriding use of agricultural waste products (manure and by-products instead of energy crops) and cogeneration of thermal energy at disposal; the application of the best available techniques to waste gas cleaning, energy recovery, and digestate chemical–physical treatments allows positive emissive balances.     

The quantitative eco-efficiency measurement for small and medium enterprise: a case study of wooden toy industry

Eco-efficiency is a tool for the analysis of the sustainability of industries, which indicates the economic relationship and environmental impact. This research presents the development of eco-efficiency indicators for quantitative measurement of the wooden toy industry, as well as the raw material suppliers who are a part of the supply chain. The eco-efficiency of the wooden toy industry was measured by using the key indicators of the three axes of sustainable development, which are (i) economic indicator: net sale and gross margin, (ii) environmental indicator: material, energy, water consumption, waste disposal, and (iii) social indicator: frequency rate of accidents, local employment, and corporate social responsibility. Moreover, the combined eco-efficiency evaluation of the supplier and company showed that the company’s eco-efficiency has likely increased during 2 years of observation, while the eco-efficiency of the supplier-company combination has decreased. The evaluation of socio-eco-efficiency results showed that the company has acquired a socially supportive management system at the company level, community level, and social level. This research can contribute to the improvement of the resource and process efficiencies in economic, environmental, and social dimensions. It can also provide a basic framework on eco-efficiency evaluation for the small and medium enterprises in Thailand, which will feed into policy and strategic development.     

Metrics for supply chain sustainability

Most interpretations of sustainable development recognise that there are constraints on long-term human activities imposed by material and energy availability and by the capacity of the planet to accommodate wastes and emissions; inter- and intra-generational equity within these constraints is then an ethical principle underlying sustainability. This leads to identifying three dimensions of sustainable development: techno-economic, ecological and social. This paper reviews the development of indicators to reflect these three dimensions, applicable to industrial sectors, companies and broad groups of products or services. Indicators of environmental and economic performance are relatively well established. They can be combined to indicate the sustainability of products, services and supply chains. Indicators of social performance are more problematic, particularly indicators to describe the social value of products and services. Cases from the process, petroleum and petrochemicals, electronics and fast moving consumer goods sectors are reviewed, showing that social indicators must be developed through public participation.     

Sustainable consumption and production as a system: experience in Lithuania

Activities in the area of sustainable consumption and production in Lithuania started in 1993 when the first cleaner production projects were implemented. The capacity in the area of cleaner production enabled further development and implementation of preventive environmental initiatives. Cleaner production activities have been followed by establishment of a system for development, financing and implementation of preventive innovations, implementation of environmental management systems (including development of new approaches for implementation, particularly in small and medium-sized enterprises), product-oriented measures such as life cycle assessment, eco-design, and sustainability reporting. A very important role in building the basic capacity level and implementing the sustainable consumption and production initiatives in Lithuania has been played by the Institute of Environmental Engineering (APINI) at Kaunas University of Technology. This article presents an overview of activities in the area of sustainable consumption and production in Lithuania since 1992 as well as results/lessons learnt from these activities. To overcome barriers and to ensure progress in the area of sustainable consumption and production, a model of a system of sustainable consumption and production has been developed. The objective of the system is to minimise energy and material use as well as waste output, and to eliminate the “rebound” effect.     

Sustainability characterisation for manufacturing processes

Manufacturing industries lack the measurement science and the needed information base to measure and effectively compare environmental performances of manufacturing processes, across resources and associated services with respect to sustainability. The current use of ad hoc methods and tools to assess and describe sustainability of manufactured products does not necessarily account for manufacturing processes explicitly, and hence results in inaccurate and ambiguous comparisons. Such comparisons do not proactively contribute to sustainability improvement. Further, we identified that there are no formal methods for acquiring and exchanging information that help establish a consolidated sustainability information base. Our ultimate goal is to develop the needed measurement science and methodology to evaluate sustainability of fundamental manufacturing processes to ensure reliable and consistent comparisons. As a precursor, based on a literature study, this paper identifies the required elements to evaluate sustainability performance for manufacturing with a focus on the environmental impact. Societal and economic impacts, although equally important, are beyond the scope of discussion in this paper. In this paper, we first discuss identified manufacturing process classifications, sustainable manufacturing indicators and computable metrics, relevant information models and software tools, a conceptual model for sustainability characterisation, and finally, conclude with an overview of the future research directions.     

Eco-efficiency assessment of pulp and paper industry in Myanmar

This paper presents the eco-efficiency assessment of the pulp and paper industry in Myanmar by using the key indicators such as raw material consumption, energy consumption, total waste output, water consumption, and CO₂ emissions. The study was carried out by using quantitative methods for data analysis of the production, consumptions and emissions from fiscal year 2001–2005. The results revealed that the level of economic and environmental performance using the eco-efficiency ratio for each fiscal year has decreased since year 2002, and factory tried to increase the level of eco-efficiency again in year 2005. There was the positive aspect that factory could optimize the waste utilization by transferring lime mud to the cement factory in the last two fiscal years. This analysis showed the root causes that led to the losses of material, energy and water consumption and discussed how to conserve those utilities.     

A four-phase AHP–QFD approach for supplier assessment: a sustainability perspective

Recently, companies have become increasingly aware of the need to evaluate suppliers from a sustainability perspective. Introducing the triple bottom line (economic, social, and environmental performance) into supplier assessment and selection decisions embeds a new set of trade-offs, complicating the decision-making process. Although many tools have been developed to help purchasing managers make more effective decisions, decision support tools, and methodologies which integrate sustainability (triple bottom line) into supplier assessment and selection are still sparse in the literature. Moreover, most approaches have not taken into consideration the impact of business objectives and requirements of company stakeholders on the supplier evaluation criteria. To help advance this area of research and further integrate sustainability into the supplier selection modelling area, we develop an integrated analytical approach, combining Analytical Hierarchy Process (AHP) with Quality Function Deployment (QFD), to enable the ‘voice’ of company stakeholders in the process. Drawing on the sustainable purchasing strategy development process, our AHP–QFD approach comprises four hierarchical phases: linking customer requirements with the company's sustainability strategy, determining the sustainable purchasing competitive priority, developing sustainable supplier assessment criteria, and lastly assessing the suppliers. An illustrative example is provided to demonstrate the application of the proposed approach.     

Quantitative methodology for strategic assessment of the sustainability of bauxite residue management

Decisions on sustainable technologies are surrounded by high degrees of uncertainty and absence of agreed indicators and metrics. The alumina industry therefore supported the development of a quantitative methodology for strategic assessment of the sustainability of bauxite residue management. It combines a strategic outlook with quantitative, outcome-based assessment. The methodology compares current practice with ideal values, derived from sustainability aspirations. The indicator system combines management indicators (for planning, management and reporting systems); condition indicators (state of environment and communities surrounding residue operations); and operational indicators (technical and economic performance). They have three hierarchical levels: headline performance indicators (6, measuring sustainability objectives); key performance indicators (24, measuring sustainability impacts) and performance measures (flexible set, measuring operational contributions). Performance is measured on a five-level ordinal scale. The methodology was successfully piloted at an operating plant. This confirmed that the methodology complemented existing audit protocols and strategic planning processes. The unique advantages are the universal performance measuring system for environmental, social and economic outcomes, and the strategic orientation towards improvement and innovation in residue technology. This development demonstrates that even with imperfect knowledge and uncertainty, quantified sustainability tools can be developed that aid in decision making on technology development and implementation.     

An integrated sustainability performance assessment and benchmarking of breweries

Breweries are responding to some sustainability challenges but many of them find sustainability assessment and reporting to be very complex, difficult, and time-consuming tasks. Despite several existing frameworks for the sustainability assessment of companies, none of them specifically addresses breweries. They do not provide them with a transparent, comprehensive, and integrated approach to sustainability assessment, adjusted to the particular circumstances of traditional beer production. In view of these requirements by the brewing industry, this article aims to support breweries in sustainability assessment activities by proposing a methodology for integrated performance assessment. This methodology proposes environmental, societal, economic, and integrated indicators reflecting the characteristics of the brewing industry, compatible with those general indicators proposed by the Global Reporting Initiative (GRI). Although it is important to assess sustainability using several indicators, it may sometimes be difficult to make decisions based on a wide number of performance measurements. Thus, the proposed methodology gradually aggregates sustainable development indicators into sustainability sub-indices and, finally, to a composite sustainability index that tracks integrated information on the economic, environmental, and societal performances of a brewery over time. They can be used both internally, for the identification of “hot spots” and externally, for sustainability reporting and stakeholder engagement. Since breweries strive to outperform their competitors, the proposed methodology enables the benchmarking of a brewery against best performance practices, as a catalyst for improvement and innovation, by providing benchmark values for each indicator. The case study presented in this article illustrates how the proposed methodology could be easily applied in practice, and stimulates breweries to test their effectiveness themselves.     

Incorporating linear programing and life cycle thinking into environmental sustainability decision-making: a case study on anchovy canning industry

Life cycle assessment (LCA) is a powerful tool to support environmental informed decisions among product and process alternatives. LCA results reflect the process stage contributions to several environmental impacts, which should be made mutually comparable to help in the decision-making process. Aggregated environmental indexes enable the translation of this set of metrics into a one final score, by defining the attached weights to impacts. Weighting values reflect the corresponding relevance assigned to each environmental impact. Current weighing schemes are based on pre-articulation of preferences, without considering the specific features of the system under study. This paper presents a methodology that combines LCA methodology and linear programming optimisation to determine the environmental improvement actions that conduct to a more sustainable production. LCA was applied using the environmental sustainability assessment methodology to obtain two main indexes: natural resources (NR) and environmental burdens (EB). Normalised indexes were optimised to determine the optimal joint of weighting factors that lead to an optimised global Environmental Sustainability Index. The proposed methodology was applied to a food sector, in particular, to the anchovy canning industry in Cantabria Region (Northern Spain). By maximising the objective function composed of NR and EB variables, it is possible to find the optimal joint of weights that identify the best environmental sustainable options. This study proves that LCA can be applied in combination with linear programing tools as a part of the decision-making process in the development of more sustainable processes and products.     

VOC emission reduction and energy efficiency in the flexible packaging printing processes: analysis and implementation

Volatile organic compound (VOC) emissions into the atmosphere are among the primary environmental problems caused by flexible packaging printing plants. Since 1999, VOC emissions from the use of solvents in various technological processes have been limited by the volatile organic compounds solvents emissions directive, and by directive 2010/75/EU on industrial emissions since 2010. Thus, flexible packaging plants require processing technologies or other solutions to ensure compliance with these requirements. In this paper, combined VOC pollution prevention and treatment alternatives were suggested and were evaluated for their technical, environmental, and economic feasibility. A flexible plastic packaging company that produces over 1920 t/year of plastic packaging for the food industry was selected for detailed analysis. The material and energy flow analysis shows that VOC emissions from the main technological processes reached 112.2 kg/t of production, and a considerable amount of energy (up to 771.6 kWh/t of production) was used. Three integrated pollution prevention and control (IPPC) alternatives of the five analysed in this study were selected and implemented within the company to reduce its VOC emissions and energy consumption. The results indicate that after the implementation of the three suggested economically reasonable IPPC alternatives (replacement of solvent-based with water-based inks; modernisation of the ventilation and lighting system), the VOC emissions decreased to 8.4 kg/t (92.5%) and the total energy consumption for the production of 1 t of flexible packaging decreased to 605.6 kWh/t (21.5%). This study shows that IPPC methods not only significantly reduces VOC emissions from flexible packaging printing processes, but also saves energy and raw materials, and reduces costs.     

Sustainability in bridge construction processes

Sustainability must be seen as a global issue. In order to achieve that goal, it is necessary to apply its principles to all industrial activities, including those that are not traditionally engaged with such guidelines, which is the case of Bridge Construction. This paper evaluates the consumption of steel and energy and the emissions of carbon dioxide due to the use of movable scaffolding systems (MSS) in the Bridge Construction industry. The values obtained considering the use of conventional MSS are compared with the ones obtained using a new sustainable technology which is herein synthetically described—the organic prestressing system (OPS). In order to compare the sustainability of the two systems, a prediction of the material and energy consumptions, and CO₂ emissions for traditional MSS and for MSS equipped with OPS is performed until 2025.