Sustainable design performance evaluation with applications in the automobile industry: Focusing on inefficiency by undesirable factors

Hwang, Shiuh-Nan; Chen, Chialin; Chen, Yao; Lee, Hsuan-Shih; Shen, Pei-Di

doi:10.1016/j.omega.2012.07.002

Cited by 63 publications

(37 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The popularity of multi-criteria decision making has also been highlighted by Cruz (2009) in his study of a decision support system for modelling and analysis of supply chain networks with corporate social responsibility. Chen et al (2012) and Hwang et al (2013) have suggested a two-stage network Data Envelopment Analysis (DEA) to trade-off between product specifications and desirable product competitiveness and lower environmental impacts. These studies, which utilise OR models and techniques to trade-off between desirable outputs and environmental and social impacts to achieve the necessary product/service performance demonstrate that OR can help decision makers balance between different objectives.…”

Section: Discussion: Key Observations From the Literature Review On Mmentioning

confidence: 99%

“…Therefore, future research should focus on developing models considering the economic and environmental parameters and variables for the optimal SOM and SSCM. To this extent, OR models and techniques such as DEA, Linear Programming and Multi-Objective Optimization Hwang et al, 2013) can assist in studying and providing the necessary conditions and variables for sustainable product and process design. Additionally, there is a further need for the development of models for the optimisation of SOM/SSCM configuration which would simultaneously minimize the cost and maximize the environmental protection.…”

Section: Future Research Directions On Modelling and Analysis Of Sustmentioning

confidence: 99%

“…The existing studies (e.g. Beynon and Wells, 2008;Chen et al, 2012;Cruz, 2009;Higgins et al, 2010;Hwang et al, 2013;Stuart et al, 1999;Simoes et al, 2008) are limited in addressing all the aforementioned dimensions and call for explicit and holistic modelling and analysis of the balance between these dimensions for SOM. Furthermore, modelling and analysis of resilience (Christopher and Peck, 2004) in supply chains (which incorporates balancing between profitability and sustainability, accommodating social and environmental dimensions) constitutes another research direction for the OR field.…”

Section: Future Research Directions On Modelling and Analysis Of Sustmentioning

confidence: 99%

See 2 more Smart Citations

Modelling and analysis of sustainable operations management: certain investigations for research and applications

Gunasekaran

Irani

Παπαδόπουλος

2014

Journal of the Operational Research Society

View full text Add to dashboard Cite

Sustainable Operations Management (SOM) can be defined as the operations strategies, tactics and techniques, and operational policies to support both economic and environmental objectives and goals. The subject of sustainability has gained much attention from both researchers and practitioners in the past 6-8 years. Most of the articles deal with sustainability from environmental perspectives, but a limited number of them integrate both economic and environmental implications or focus on trading-off between profitability, competitiveness and environmental dimensions. Moreover, there is a limited focus on modelling and analysis of SOM integrating and balancing the interests of both economic and environmental interests. Therefore, an attempt has been made in this paper to review the extant literature on SOM. The objective is to understand the definition of SOM and present the current status of research in modelling and analysis, as well as future research directions in the field. Considering the recent focus of the subject, we review the literature on MA of SOM beginning in 2000 in order to make our study current and more relevant for both researchers and practitioners. Finally, a summary of findings and conclusions is reported.

show abstract

Section: Discussion: Key Observations From the Literature Review On Mmentioning

confidence: 99%

Section: Future Research Directions On Modelling and Analysis Of Sustmentioning

confidence: 99%

Section: Future Research Directions On Modelling and Analysis Of Sustmentioning

confidence: 99%

See 1 more Smart Citation

Modelling and analysis of sustainable operations management: certain investigations for research and applications

Gunasekaran

Irani

Παπαδόπουλος

2014

Journal of the Operational Research Society

View full text Add to dashboard Cite

show abstract

“…Literature suggests that eco‐design capability can be particularly relevant for GPIs as firms develop products that minimize environmental impacts through product design (Ehrenfeld, ; Fuller and Ottman, ; Hwang et al ., ; Lee and Klassen, ; Lenox and Ehrenfeld, ; Luttropp and Lagerstedt, ). The importance of eco‐design capability in business has grown over time, with an increased understanding that environmental impacts are generated not just by the manufacturing process of the products but also by their use and disposal (Roy, ).…”

Section: Theoretical Framework and Hypothesis Developmentmentioning

confidence: 99%

Green Product Innovation in Manufacturing Firms: A Sustainability‐Oriented Dynamic Capability Perspective

2016

View full text Add to dashboard Cite

Despite environmental sustainability being identified as one of the key drivers of innovation, extant literature lacks a theoretically sound and empirically testable framework that can provide specific insights into green product innovation from a capability perspective. This study develops a theoretical framework from a sustainability‐oriented dynamic capability (SODC) perspective. We conceive SODCs as consisting of three underlying processes (external resource integration, internal resource integration, and resource building and reconfiguration) that influence the change/renewal of sustainability‐oriented ordinary capabilities (SOOCs) (green innovation capability and eco‐design capability). This study answers two key questions: which SODCs are needed to develop green innovation and eco‐design capabilities? Which of these capabilities lead to better market performance of green products? We test a structural model linking SODCs to market performance in 189 Italian manufacturing firms. First, we find that the nature of the SODC–performance link (direct or indirect) depends on the SODC type. Specifically, resource building and reconfiguration is the only SODC with a direct effect on market performance. Second, all three types of SODC affect the eco‐design capability, which mediates the link between SODCs and market performance. Third, we find that external resource integration is the only SODC affecting the green innovation capability, which mediates the link between external resource integration and market performance. Resource building and reconfiguration is the SODC with the overall (direct and indirect) highest impact on market performance. This study, among the first to consider capabilities for green product innovation under a dynamic capability perspective, provides implications for scholars, managers and policy makers. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment

show abstract

“…Such concepts as sustainability, environmental culture, economic development, and social civilization have been considered simulatenously (General Assembly of United Nations [6], Dirzyte, Rakauskiene [7]; Fuinhas et al [8]; Liobikiene et al [9]). In this context, sustainable development of energy and electric power has also become an important issue as represented by the environment and energy (E&E) concept (see Noori and Chen [10]; Hwang et al [11]; Zhou et al [12]; Chen et al [13]). The traditional energy generation relies on the fossil fuels, with the thermal power generation being the main option for generating electricity.…”

Section: Introductionmentioning

confidence: 99%

Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities

et al. 2017

View full text Add to dashboard Cite

This paper proposes the network data envelopment analysis (DEA) model accounting for negative externalities and applies it for decomposition of profit inefficiency in the biomass-agriculture circular system (Bio-AG system). A circular structure of the Bio-AG system which is different from the previously applied network structures is assumed. Since the negative externalities (i.e., pollutant emissions from the biomass industry) occur in the Bio-AG system, the property rights are taken into consideration to model the externalities-adjusted profits. Therefore, the changes in profits due to changes in the property rights (assuming no property rights, allocating property rights to agricultural sector, and allocating property rights to biomass power generation sector) are quantified. Further, the decomposition shows that the biomass power generation sector is less affected by technical inefficiency if contrasted to allocative inefficiency in terms of the profit loss. The findings suggest that the biomass power generation technology influences the profits of the biomass industry. What is more, the inefficient allocation of resources is now the key factor undermining performance of the biomass industry. Therefore, the government should adopt measures to improve the allocation of resources and prevent excessive investments or development of less efficient technologies.

show abstract

Sustainable design performance evaluation with applications in the automobile industry: Focusing on inefficiency by undesirable factors

Cited by 63 publications

References 14 publications

Modelling and analysis of sustainable operations management: certain investigations for research and applications

Modelling and analysis of sustainable operations management: certain investigations for research and applications

Green Product Innovation in Manufacturing Firms: A Sustainability‐Oriented Dynamic Capability Perspective

Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities

Contact Info

Product

Resources

About