scholarly journals Supplier selection criteria for sustainable supply chain management in thermal power plant

2018 ◽  
Vol 310 ◽  
pp. 012016 ◽  
Author(s):  
Faisal Firoz ◽  
Jitendra Narayan Biswal ◽  
Suchismita Satapathy
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Thermal Power ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management

An Analysis on Sustainable Supply Chain Management in Thermal Power Plants

2019 ◽  
pp. 258-285
Author(s):  
Suchismita Satapathy
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Artificial Neural Network Ann ◽  
Flow Of Information

Research on sustainable supply chain management (SSCM) has been garnering interest because of its multi-approach in nature. SSCM has emerged as an essential method for organizations to develop and to enhance their competitive strategy through innovative ways in order to satisfy customer basic needs. It facilitates competitive advantage, faster flow of information, material, less response time, speeding up delivery action, better relation and coordination among partners, easy way of information sharing, and increasing order fulfilment rate. Implementing SSCM in organizations like thermal power plants has other benefits such as increasing attention about environmental performance intending the integration of social as well as economic performance. In this chapter, the artificial neural network (ANN) method is used to measure the customer satisfaction after implementing SSCM by thermal power industries.

Thermal Power Sector Sustainability

2018 ◽  
pp. 381-401
Author(s):  
Suchismita Satapathy ◽  
Jitendra Narayan Biswal
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Sustainable Supply Chain ◽  
Power Sector ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Artificial Neural Network Ann

Sustainable supply chain management (SSCM) practices in thermal power plants is dependent on mostly three pillars: social factor, economic factor, and environmental factor. So, in this chapter, sustainable supply chain management of Indian thermal power sector is evaluated. Artificial neural network (ANN) method is implemented to measure whether the benefits of sustainable supply chain management are achieved after practices of sustainable supply chain management in Indian thermal power sector. This chapter also designs a framework by QFD (quality function deployment) method to find solution for some unsatisfactory measures (inputs in sustainable factors) that are not achieved against outputs. As sustainable supply chain management practices in thermal power plants are influenced by a significant number of interrelated enablers and barriers, the drivers or enablers of SSCM are taken as the design requirement to improve SSCM in thermal power industries, and the most important driver is prioritized against the unsatisfied measurands in thermal power sector.

scholarly journals Sustainable Supply Chain Management In Canadian Corporations

2021 ◽  
Author(s):  
Oguz Morali
Keyword(s):  
Content Analysis ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Phase 1 ◽  
Theory And Practice ◽  
Second Phase ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management

The purpose of this dissertation is twofold: (1) to examine the extent of integration and implementation of corporate sustainability (CS) into supply chain management (SCM) practices in corporations; and (2) to provide a basis for improved supplier selection with respect to sustainability criteria. Three interrelated research objectives were developed to achieve the purpose: (1) explore the extent to which CS principles are integrated into SCM in corporations; (2) investigate how sustainable supply chain management (SSCM) has evolved in corporations; and (3) develop a model to integrate the environmental and social criteria of CS into supplier assessment and selection. The dissertation is comprised of three main phases corresponding directly to the research objectives stated above. Canada is used as a case study to achieve this goal. Consequently, the first phase explores the extent to which CS principles are integrated into SCM in Canadian corporations. The study includes a primary content analysis of 100 Canadian corporate sustainable development reports (CSDRs) and in-depth interviews with thirty Canadian experts on SSCM. The second phase investigates how SSCM has evolved in Canadian corporations over a five-year period. The study is based on a sequential content analysis of 26 CSDRs to compare the findings with the results from the primary content analysis from Phase 1. The third phase aims to develop supplier assessment and selection models based exclusively on the environmental and social criteria of CS. This phase employs case studies of two major Canadian companies to develop a sustainable supplier selection model. The dissertation makes numerous contributions to the SSCM field. Taken together, Phase 1 and Phase 2 provide a holistic perspective for a range of interrelated criteria on SSCM; provide corporations and other supply chain partners with opportunities to learn from the best practices and shortcomings of the integration of CS practices into SCM; and encourage thinking and discussion into how the key gaps in the theory and practice of SSCM might be addressed. Phase 3 provides SCM professionals with a contingency-based, effective, and practical bespoke modeling approach to supplier assessment and selection within the context of SSCM.

Interpretive Structural Modeling-based Framework for Analysis of Sustainable Supply Chain Management Enablers: Indian Thermal Power Plant Perspective

2018 ◽  
Vol 1 (1) ◽  
pp. 34-56
Author(s):  
Jitendra Narayan Biswal ◽  
Kamalakanta Muduli ◽  
Suchismita Satapathy ◽  
Devendra K. Yadav ◽  
John Pumwa
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Thermal Power ◽  
Structural Modeling ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
The Impact ◽  
Interpretive Structural Model

Indian thermal power industries, being perceived as the most polluting, are experiencing tremendous pressure to implement sustainable supply chain practices. In this light, the purpose of this article is to explore the factors that initiate sustainable supply chain management (SSCM) adoption in Indian thermal power industries and understand the interrelationship existing among them. Interpretive structural modeling (ISM) technique is employed to extract the structural relationship existing among the SSCM enablers and portray the same through a hierarchical model. Further, MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement) analysis has been employed to classify the enablers by taking their driving and dependence power as a measure. Eleven SSCM enablers have been explored through an extensive review of the literature. The interpretive structural model of selected enablers indicates that SSCM adoption in thermal power plants is mainly due to “pressure from environmental advocacy groups” and “government policies and employee pressure”. Prior knowledge of these influential factors and their interdependence will help the decision makers to develop suitable strategies that would enable the organizations to reduce the impact of barriers while optimizing the benefits derived from the enablers.

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