Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence

Purpose Globalization of markets and pace of technological change have caused the growing importance of paying attention to supplier selection problem. Therefore, this study aims to choose the best suppliers by providing a mathematical model for the supplier selection problem considering the green factors and stochastic parameters. This paper aims to propose a multi-objective model to identify optimal suppliers for a green supply chain network under uncertainty. Design/methodology/approach The objective of this model is to select suppliers considering total cost, total quality parts and total greenhouse gas emissions. Also, uncertainty is tackled by stochastic programming, and the multi-objective model is solved as a single-objective model by the LP-metric method. Findings Twelve numerical examples are provided, and a sensitivity analysis is conducted to demonstrate the effectiveness of the developed mathematical model. Results indicate that with increasing market numbers and final product numbers, the total objective function value and run time increase. In case that decision-makers are willing to deal with uncertainty with higher reliability, they should consider whole environmental conditions as input parameters. Therefore, when the number of scenarios increases, the total objective function value increases. Besides, the trade-off between cost function and other objective functions is studied. Also, the benefit of the stochastic programming approach is proved. To show the applicability of the proposed model, different modes are defined and compared with the proposed model, and the results demonstrate that the increasing use of recyclable parts and application of the recycling strategy yield more economic savings and less costs. Originality/value This paper aims to present a more comprehensive model based on real-world conditions for the supplier selection problem in green supply chain under uncertainty. In addition to economic issue, environmental issue is considered from different aspects such as selecting the environment-friendly suppliers, purchasing from them and taking the probability of defective finished products and goods from suppliers into account.

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‘Green' Supply Chain Management

Operations and Service Management ◽

10.4018/978-1-5225-3909-4.ch015 ◽

2018 ◽

pp. 299-322

Author(s):

Padmanabha Aital ◽

Prince Vijai

Keyword(s):

Resource Allocation ◽

Supply Chain ◽

Sustainable Manufacturing ◽

Green Supply Chain ◽

Firm Boundaries ◽

Internal Factors ◽

Manufacturing Operations ◽

Operational Practices ◽

Operational Processes ◽

Allocation Decisions

Operational practices of ‘green' supply chain processes within as well as across the firm boundaries are strongly linked with the firm performance. However, the desire for such practices is governed by external and/or internal factors. The challenge, therefore, for supply chain and operations managers is to design and develop an operations strategy that ensures the firms investments in such ‘green' initiatives. We develop a theoretical framework for resource allocation strategies for sustainable manufacturing operations that can be characterized as speculative, responsible, efficient, and sustainable resource allocation. This can aid managers in characterizing and controlling the firm's underlying operational processes and guide resource allocation decisions at strategic level.

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Green Supply Chain Management (GSCM) Practices for Sustainability Performance: An Empirical Evidence of Malaysian SMEs

International Journal of Financial Research ◽

10.5430/ijfr.v10n3p371 ◽

2019 ◽

Vol 10 (3) ◽

pp. 371 ◽

Cited By ~ 1

Author(s):

Zarinah Abdul Rasit ◽

Maisurah Zakaria ◽

Marshita Hashim ◽

Aliza Ramli ◽

Muzrifah Mohamed

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Empirical Evidence ◽

Reverse Logistics ◽

Environmental Issues ◽

Iso 14001 ◽

Green Supply Chain Management ◽

Green Supply Chain ◽

Chain Management ◽

Sustainability Performance

Environmental issues have been critical concern among the current businesses as various business activities might pose significant threats to the environment. Incorporating environmental aspects in business operations is perceived to be able to create value and to achieve sustainable business performance. The manufacturing sector is the key contributor to the country’s high pollution index. Green Supply Chain Management (GSCM) practices have become more prevalent in this sector in managing the environmental issues for the effectiveness of their production requirement. Nevertheless, the small and medium enterprises (SMEs) mainly are less likely to embark on environmental practices as compared to large organisations. The establishment of certified environmental management systems (EMS) is considered as a strategic management approach that defines how organisations will address their impact on the natural environment guided by ISO 14001 as a framework. This study provides empirical evidence examining the extent of GSCM practices among the SMEs through the possession of ISO 14001 and examines the impact on sustainability performance. Data were analysed using regression analyses. Results indicate that GSCM practices have a significant positive relation with sustainability performance. Eco-design practices and environmental cooperation have a positive relationship with sustainability performance. There is no relationship between green purchasing and reverse logistics practices with sustainability performance. These results imply that Malaysian SMEs adopt GSCM practices mostly through eco-design and robust cooperation among departments in dealing with environmental issues. Green practices and reverse logistics practices are still new for SMEs and do not contribute to achieving better performance.

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