A bibliometric analysis of green manufacturing and similar frameworks

2015 ◽  
Vol 26 (4) ◽  
pp. 566-587 ◽  
Author(s):  
Kuldip Singh Sangwan ◽  
Varinder Kumar Mittal
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Product Life Cycle ◽  
Pollution Prevention ◽  
Triple Bottom Line ◽  
Green Manufacturing ◽  
Bottom Line ◽  
Content Type ◽  
Life Cycle Engineering ◽  
Clean Manufacturing

Purpose – The purpose of this paper is to review the green manufacturing and similar frameworks in order to trace the origin, definitions, scope, similarities, differences, and publications of these manufacturing frameworks. Design/methodology/approach – A review of 113 research articles is conducted for various terms, namely, green manufacturing (GM); environmentally conscious manufacturing; environmentally responsible manufacturing; environmentally benign manufacturing; sustainable manufacturing; clean manufacturing; cleaner production; sustainable production with reference to triple bottom line, product life cycle engineering, systems approach, resource and energy efficiency, supply chain, pollution prevention and closed loop system/6R. Findings – It can be said with reasonable confidence that all these eight frameworks have been used interchangeably by researchers but it requires some standardization. It has been observed during literature review that to standardize the terminology researchers have to clear emphatically in their research the use of various life cycle engineering approach; clarity on the end-of-life strategies used; clarity in use of various components of triple bottom line perspectives; inclusion of the whole supply chain and integration of environmental improvement strategies with the business strategy. Research limitations/implications – The literature reviewed for the study is the literature available online using Google scholar. Originality/value – This is one of the first known studies to review the GM and similar frameworks for their origin, definition, scope, similarities, and differences.

scholarly journals Choosing the right approach to green your supply chains

2019 ◽  
Vol 1 (1) ◽  
pp. 54-67 ◽  
Author(s):  
Qinghua Zhu ◽  
Joseph Sarkis ◽  
Kee-hung Lai
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Theoretical Analysis ◽  
Product Life Cycle ◽  
Green Supply Chain ◽  
Content Type ◽  
Numerous Site ◽  
The Right ◽  
A Company ◽  
Institutional Drivers

Purpose Due to the different institutional pressure such as those from market, regulations and competitors, companies have implemented green supply chain management (GSCM). Unfortunately, tens of GSCM practices exist. Whether all companies should implement GSCM and how to achieve both environmental and economic performance are still not clear for many companies. The purpose of this paper is to develop models that can be helpful for companies to identify right GSCM practices and implement GSCM effectively and efficiently. Design/methodology/approach Based on about 18 years of study on GSCM with four surveys in China in 2001, 2005, 2012 and 2016, as well as numerous site visits and interviews mainly in China but also in Japan, Germany and Canada, this paper explores institutional drivers as well as opportunities and challenges using theoretical analysis and case studies. GSCM is defined considering a product life cycle. A key three-step GSCM approach is theoretically developed considering opportunities and challenges through life cycle analysis (LCA) of a product and position of a company. Findings All companies should implement GSCM practices to avoid risks. To effectively implement GSCM practices, a company should understand the life cycle of its product and its position in the supply chain. A key three-step LCA-based approach can help companies to identify the critical GSCM practices. Originality/value A key three-step LCA-based approach for GSCM implementation is originally developed based on theoretical analysis and eight years of study.

Analysis on Fuzzy Evaluation of Green Design Based on Life Cycle

2010 ◽  
Vol 34-35 ◽  
pp. 1436-1440 ◽  
Author(s):  
Yan Zhang
Keyword(s):  
Life Cycle ◽  
Evaluation System ◽  
Product Life Cycle ◽  
Pollution Prevention ◽  
Green Manufacturing ◽  
Green Design ◽  
Systematic Evaluation ◽  
Fuzzy Evaluation ◽  
Prevention Measures ◽  
Iso 14000

Green design is a key technology of green manufacturing. Compared with traditional design, green design requires taking into account the environment factors and pollution prevention measures in the product design during the designing phase. The basis to build an evaluation system of green design based on life cycle is a combination and integration of data and knowledge of different phases in product life cycle. Hence, this paper builts a hierarchy structure model of green design under influence of many factors according to the frame of ISO 14000, determines the weight of each factor based on experts’ opinion, and makes a systematic evaluation on the performance of green design based on fuzzy hierarchy evaluation principle.

Enhancing sustainable supply chain management performance through alliance portfolio diversity: the mediating effect of sustainability collaboration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Angelina Nhat Hanh Le ◽  
Tessa Tien Nguyen ◽  
Julian Ming-Sung Cheng
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Triple Bottom Line ◽  
Mediating Effect ◽  
Sustainable Supply Chain ◽  
Bottom Line ◽  
Alliance Portfolio ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management

PurposeWhile strategic alliances is a concept increasingly discussed in the field of sustainable supply chain management (SSCM), an emerging and more crucial concept regarding alliances—namely, the alliance portfolio—is mostly ignored in the SSCM context. Mainly drawing on the categorisation–elaboration model (CEM), this research develops a three-layer model to explore the effects of three alliance portfolio diversity facets on the three triple-bottom-line SSCM performances through the mediation of sustainability collaboration.Design/methodology/approachThe field data are collected from 321 Vietnamese manufacturers. Scale accuracy is assessed through the confirmatory factor analysis method. Hierarchical linear regressions are applied to test the proposed model and hypotheses.FindingsPartner, governance, and functional alliance portfolio diversities have a U-shaped, inverted U-shaped, and positive linear effect, respectively, on sustainability collaboration. Sustainability collaboration is in turn found to enhance the SSCM performances in terms of economic, environmental, and social.Originality/valueThis research introduced a new theoretical lens, CEM, to the SSCM field. It also provided findings that can help firms to manage their alliance portfolios more dynamically in terms of the nature and diversity level of the portfolio and in a way that adds to the triple bottom line through the mediating effect of sustainability collaboration.

BIM-enabled sustainability assessment of material supply decisions

2017 ◽  
Vol 24 (4) ◽  
pp. 668-695 ◽  
Author(s):  
Alireza Ahmadian F.F. ◽  
Taha H. Rashidi ◽  
Ali Akbarnezhad ◽  
S. Travis Waller
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Life Cycle ◽  
Sustainability Assessment ◽  
Social Impacts ◽  
Life Cycle Thinking ◽  
Bottom Line ◽  
Content Type ◽  
Material Supply ◽  
Trade Offs

Purpose Enhancing sustainability of the supply process of construction materials is challenging and requires accounting for a variety of environmental and social impacts on top of the traditional, mostly economic, impacts associated with a particular decision involved in the management of the supply chain. The economic, environmental, and social impacts associated with various components of a typical supply chain are highly sensitive to project and market specific conditions. The purpose of this paper is to provide decision makers with a methodology to account for the systematic trade-offs between economic, environmental, and social impacts of supply decisions. Design/methodology/approach This paper proposes a novel framework for sustainability assessment of construction material supply chain decisions by taking advantage of the information made available by customized building information models (BIM) and a number of different databases required for assessment of life cycle impacts. Findings The framework addresses the hierarchy of decisions in the material supply process, which consists of four levels including material type, source of supply, supply chain structure, and mode of transport. The application is illustrated using a case study. Practical implications The proposed framework provides users with a decision-making method to select the most sustainable material alternative available for a building component and, thus, may be of great value to different parties involved in design and construction of a building. The multi-dimensional approach in selection process based on various economic, environmental, and social indicators as well as the life cycle perspective implemented through the proposed methodology advocates the life cycle thinking and the triple bottom line approach in sustainability. The familiarity of the new generation of engineers, architects, and contractors with this approach and its applications is essential to achieve sustainability in construction. Originality/value A decision-making model for supply of materials is proposed by integrating the BIM-enabled life cycle assessment into supply chain and project constraints management. The integration is achieved through addition of a series of attributes to typical BIM. The framework is supplemented by a multi-attribute decision-making module based on the technique for order preference by similarity to ideal solution to account for the trade-offs between different economic and environmental impacts associated with the supply decisions.

Outsourcing and reverse supply chain performance: a triple bottom line approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saurabh Agrawal ◽  
Rajesh Kumar Singh
Keyword(s):  
Supply Chain ◽  
Core Competencies ◽  
Triple Bottom Line ◽  
Electronics Industry ◽  
Partial Least Square ◽  
Least Square ◽  
Reverse Supply Chain ◽  
Bottom Line ◽  
Content Type ◽  
The Impact

PurposeOutsourcing has become a strategic decision for most of the organizations in the present context of globalization and circular economy. The objective of proposed study is to empirically investigate the relationship between the outsourcing benefits and triple bottom line (TBL)-based performance of reverse supply chain (RSC) comprising of economic, environmental and social factors.Design/methodology/approachIn the present study, the partial least square path approach of structural equation modeling has been applied for testing hypotheses. A questionnaire was developed for collecting the information and responses from the experts of electronics industry, India. Measurement models were tested for ensuring the fitness of data for further applying partial least square path approach of SEM.FindingsThe results provide insightful information on outsourcing and RSC performance. It reveals that outsourcing decisions are important and have great influence on the economic, environmental and social performance of RSC.Research limitations/implicationsThe study will provide useful guidance to the organizations for outsourcing decisions. One of the limitations of the study is that it has considered data collected from the Indian electronics industry. Therefore, results may not be generalized.Originality/valueThe third-party service providers have core competencies, and they are the experts of providing RSC services. It is also apparent from the exploration of past research and theoretical background that there are limited number of studies focusing on the impact of outsourcing decisions in RSC performance specifically from the TBL perspective. Hence, the proposed study is an effort to explore the impact of outsourcing RSC activities on the performance of RSC from a sustainability perspective.

Impacts of adaptive collaboration on demand forecasting accuracy of different product categories throughout the product life cycle

2015 ◽  
Vol 20 (4) ◽  
pp. 415-433 ◽  
Author(s):  
Masayasu Nagashima ◽  
Frederick T. Wehrle ◽  
Laoucine Kerbache ◽  
Marc Lassagne
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Product Life Cycle ◽  
Forecast Accuracy ◽  
Product Category ◽  
Life Cycle Stage ◽  
Demand Forecast ◽  
Short Life ◽  
Data Set ◽  
Content Type

Purpose – This paper aims to empirically analyze how adaptive collaboration in supply chain management impacts demand forecast accuracy in short life-cycle products, depending on collaboration intensity, product life-cycle stage, retailer type and product category. Design/methodology/approach – The authors assembled a data set of forecasts and sales of 169 still-camera models, made by the same manufacturer and sold by three different retailers in France over five years. Collaboration intensity, coded by collaborative planning forecasting and replenishment level, was used to analyze the main effects and specific interaction effects of all variables using ANOVA and ordered feature evaluation analysis (OFEA). Findings – The findings lend empirical support to the long-standing assumption that supply chain collaboration intensity increases demand forecast accuracy and that product maturation also increases forecast accuracy even in short life-cycle products. Furthermore, the findings show that it is particularly the lack of collaboration that causes negative effects on forecast accuracy, while positive interaction effects are only found for life cycle stage and product category. Practical implications – Investment in adaptive supply chain collaboration is shown to increase demand forecast accuracy. However, the choice of collaboration intensity should account for life cycle stage, retailer type and product category. Originality/value – This paper provides empirical support for the adaptive collaboration concept, exploring not only the actual benefits but also the way it is achieved in the context of innovative products with short life cycles. The authors used a real-world data set and pushed its statistical analysis to a new level of detail using OFEA.

Forecasting product returns for recycling in Indian electronics industry

2014 ◽  
Vol 11 (1) ◽  
pp. 102-114 ◽  
Author(s):  
Saurabh Agrawal ◽  
Rajesh K. Singh ◽  
Qasim Murtaza
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Product Life Cycle ◽  
Real Life ◽  
Supply Chain Design ◽  
Reverse Supply Chain ◽  
Product Returns ◽  
Supply Chain System ◽  
Product Life ◽  
Content Type

Purpose – The purpose of this paper is to develop a model for forecasting product returns to the company for recycling in terms of quantity and time. Design/methodology/approach – Graphical Evaluation and Review Technique (GERT) has been applied for developing the forecasting model for product returns. A case of Indian mobile manufacturing company is discussed for the validation of this model. Survey conducted by the company and findings from previous research were used for data collection on probabilities and product life cycle. Findings – Product returns for their recycling are stochastic, random and uncertain. Therefore, to address the uncertainty, randomness and stochastic nature of product returns, GERT is very useful tool for forecasting product returns. Practical implications – GERT provides the visual picture of the reverse supply chain system and helps in determining the expected time of product returns in a much easier way but it requires probabilities of different flows and product life cycle. Both factors vary over a period, so require data update time to time before implementation. Originality/value – This model is developed by considering all possible flows of sold products from customer to their reuse, store or recycle or landfill. First time this type of real life flows have been considered and GERT has been applied for forecasting product returns. This model can be utilized by managers for better forecasting that will help them for effective reverse supply chain design.

Developing competitive advantage using the triple bottom line: a conceptual framework

2016 ◽  
Vol 31 (4) ◽  
pp. 449-458 ◽  
Author(s):  
Steven A. Schulz ◽  
Rod L. Flanigan
Keyword(s):  
Supply Chain ◽  
Competitive Advantage ◽  
Triple Bottom Line ◽  
Bottom Line ◽  
Content Type ◽  
Industrial Companies ◽  
Novel Approach ◽  
A Company ◽  
Sustainability Model ◽  
Practical Implications

Purpose The purpose of this paper is to develop a framework for a sustainability model to be used by industrial companies for establishing a competitive advantage. Design/methodology/approach Literature is replete with sustainability models for business; however, few of these models are specific to the industrial supply chain market sector. The authors propose a novel approach for comparing/normalizing data from all three components of the Triple Bottom Line (3BL) sustainability model. Findings A shortcoming of the 3BL sustainability model has been that the data cannot be easily normalized and compared across the three categories of the model. The findings of this paper suggest that it may be possible to develop a model that includes both environmental and social responsibility scales, combined with the more traditional financial data, as a tool for competitive advantage using generalizable data. Practical implications As the industrial companies continue to put increasing pressure on both the upstream and downstream suppliers in their supply chain to demonstrate sound sustainability practice, this model could serve to provide a company with competitive advantage. Originality/value This paper proposes a novel approach to assessing environmental, social and financial impact as a tool for competitive advantage.

A fuzzy embedded leagility assessment module in supply chain

2016 ◽  
Vol 23 (7) ◽  
pp. 1937-1982 ◽  
Author(s):  
Chhabi Ram Matawale ◽  
Saurav Datta ◽  
S.S. Mahapatra
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Product Life Cycle ◽  
Business Environment ◽  
Inventory Level ◽  
Successful Implementation ◽  
Global Business ◽  
Managerial Implication ◽  
Product Life ◽  
Content Type

Purpose In today’s ever-changing global business environment, successful survival of manufacturing firms/production units depends on the extent of fulfillment of dynamic customers’ demands. Appropriate supply chain strategy is of vital concern in this context. Lean principles correspond to zero inventory level; whereas, agile concepts motivate safety inventory to face and withstand in turbulent market conditions. The leagile paradigm is gaining prime importance in the contemporary scenario which includes salient features of both leanness and agility. While lean strategy affords markets with predictable demand, low variety and long product life cycle; agility performs best in a volatile environment with high variety, mass-customization and short product life cycle. Successful implementation of leagile concept requires evaluation of the total performance metric and development of a route map for integrating lean production and agile supply in the total supply chain. To this end, the purpose of this paper is to propose a leagility evaluation framework using fuzzy logic. Design/methodology/approach A structured framework consisting of leagile capabilities/attributes as well as criterions has been explored to assess an overall leagility index, for a case enterprise and the data, obtained thereof, has been analyzed. Future opportunities toward improving leagility degree have been identified as well. This paper proposes a Fuzzy Overall Performance Index to assess the combined agility and leanness measure (leagility) of the organizational supply chain. Findings The proposed method has been found fruitful from managerial implication viewpoint. Originality/value This paper aimed to present an integrated fuzzy-based performance appraisement module in an organizational leagile supply chain. This evaluation module helps to assess existing organizational leagility degree; it can be considered as a ready reference to compare performance of different leagile organization (running under similar supply chain architecture) and to benchmark candidate leagile enterprises; so that best practices can be transmitted to the less-performing organizations. Moreover, there is scope to identify ill-performing areas (barriers of leagility) which require special managerial attention for future improvement.

Multi-attribute approach to sustainable supply chain management under uncertainty

2016 ◽  
Vol 116 (4) ◽  
pp. 777-800 ◽  
Author(s):  
Kuo-Jui Wu ◽  
Ching-Jong Liao ◽  
MingLang Tseng ◽  
Kevin Kuan-Shun Chiu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Theory Development ◽  
Triple Bottom Line ◽  
Sustainable Supply Chain ◽  
Bottom Line ◽  
Chain Management ◽  
Content Type ◽  
Sustainable Supply Chain Management ◽  
Incomplete System

Purpose – The purpose of this paper is to enhance the understanding of sustainable supply chain management (SSCM) and provide a comprehensive and quantitative method to assess performance. Design/methodology/approach – The study applied interval-valued triangular fuzzy numbers associated with grey relational analysis to improve the insufficient information and overcome the incomplete system under uncertainty. Findings – The findings support the argument that the triple bottom line is insufficient to cover the entire concept of SSCM; in particular, the aspects of operations, stakeholders and resilience have not been addressed in previous studies. Research limitations/implications – The results reveal that the triple bottom line concept is insufficient to illustrate the principles of SSCM and to provide an extensive basis for theory development. The aspects and criteria considered in the study only relate to the studied company and may need to be reviewed when applied to other industries. Practical implications – The methodology and findings of the study demonstrate the core applications of criteria ranking and identify priority areas that utilize less investment but that may maintain the studied company’s current performance. Suggestions for the prioritization of criteria to enhance SSCM performance are provided. Originality/value – The present study provides three valuable contributions. First, it adopts collaboration theory to furnish a theoretical foundation for SSCM. Second, the proposed hybrid method is able to overcome uncertainty and subsequently evaluate SSCM while utilizing incomplete and imprecise information. Third, the evaluation provides significant results for consideration in decision making by the studied company.

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