Selecting Green Suppliers with Analytic Hierarchy Process for Biotechnology Industry

Lin, Shui-Shun; Juang, Ying-Shen

doi:10.31387/oscm020012

Cited by 17 publications

(12 citation statements)

References 54 publications

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“…The results showed that the Chinese automobile supply chain enterprises had experienced high and increasing regulatory and market pressures and strong internal drivers for GSCM practice adoption were present. Lin and Juang (2008) green supplier, green stock, and green eco-design. The results suggested that firms with a better GSCM capability attain a comparatively higher performance level.…”

Section: Literature Review: Gscmmentioning

confidence: 99%

Identifying and ranking of strategies to implement green supply chain management in Indian manufacturing industry using Analytical Hierarchy Process

Luthra

Garg

Haleem

2013

JIEM

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Abstract:Purpose: The study aims to identify and rank the major strategies that help achieve successful implementation of Green Supply Chain Management (GSCM) in Indian manufacturing industry.Design/methodology/approach: Strategies to implement GSCM have been identified thorough extensive literature review and then experts' opinion is sought for categorizing them into four representative dimensions which are then ranked using Analytic Hierarchy Process (AHP). Findings:The study categorizes the GSCM implementation strategies into four dimensionsNon members of supply chain, downward stream supply chain Members, Organizational members of supply chain and upward stream supply chain members. These dimensions are found to play an important role in greening the supply chains enabling the practicing firms achieve enhanced operational performances. opinion of the experts drawn from academia and industry. As is natural, opinions of experts may not always be free from bias or prejudices. Moreover, the study relied more on the GSCM practices literature in developed nations as only limited literature related to the undertaken work in the Indian context was available. Research limitations/implicationsPractical implications: This paper may play important role in understanding various strategies and ranking them in order of importance. This facilitates firms prioritize different actions for achieving high GSCM performances in Indian manufacturing industry. Strategic implementation of green supply chain management will help Indian manufacturing enterprises enjoy cost and efficiency benefits.Originality/value: GSCM is a relatively new topic for majority of Indian manufacturing industries.This work is likely to help GSCM practitioners select suitable strategies in consonance with the government regulations and customers' requirements.

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Section: Literature Review: Gscmmentioning

confidence: 99%

Identifying and ranking of strategies to implement green supply chain management in Indian manufacturing industry using Analytical Hierarchy Process

Luthra

Garg

Haleem

2013

JIEM

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“…The literature review reveals that magnitudes of fuzzy set ranking methods exist i.e. Barbarosoglu and Yazgac (1997) , Chen (1958), Campos and Munoz (1989), Kim and Park (1990), Li et al (1997), Liang and Wang (1991), Lin and Juang (2008), Chang and Lee (1994), Fortemps and Roubens (1996), Peneva and Popchev (1998) and Weber (1991). One of the most common methods for ranking is Chen's method.…”

Section: Ranking Methodsmentioning

confidence: 99%

Skilled Manpower Selection for Micro, Small and Medium Enterprises: A Fuzzy Decision Making Approach

Pattnaik

2014

OSCM: An Int. Journal

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Supply of skilled manpower is a major strategy for entrepreneur to run the production process smoothly. Skilled manpower categorization, selection and performance evaluation are decisions of strategic importance to micro, small and medium enterprises. Global competition, mass customization, high customer expectations and harsh economic conditions are forcing enterprises to rely on external skilled manpower to contribute finished products and to manage a growing number of processes and functions that were once controlled internally. Thus skilled manpower performance evaluation is very important to choose the right manpower for the right enterprises. In this paper a fuzzy manpower selection algorithm (FMSA) is implemented to rank the technically efficient manpower according to the both predetermined performance criteria and additional skilled-related performance criteria. The algorithm is based on calculating fuzzy suitability indices for the efficient manpower alternatives, and then, ranking the fuzzy indices to select the best skilled manpower alternative. A comprehensive example is provided to illustrate the decision making procedure.

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“…In the literature, different methods have been proposed in order to solve these types of problems, some use MILP (Mixed Integer Linear Programming) [14,15] as a preferable technique for network configuration; others take into account non-linear behaviour that requires MINLP (Mixed Integer Non Linear Programming) capability [16], or a stochastic programming approach to handle uncertainties [17]. A relevant approach that has been widely used to handle the multiple objective nature of GSC models (sometimes in tandem with other modelling approaches such as MILP) is the so-called MOO (Multi-Objective Optimization) technique [14,18]; as well as other Multi-Criteria Decision Methods such as TOPSIS and AHP [19,20]. These final two approaches (i.e., MOO and TOPSIS) were selected to manage the complex decision-making that takes place when working with a SC scope.…”

Section: Gscm Modelling and Optimization Approachmentioning

confidence: 99%

Green Supplier Selection in the Agro-Food Industry with Contract Farming: A Multi-Objective Optimization Approach

et al. 2019

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An important contribution to the environmental impact of agro-food supply chains is related to the agricultural technology and practices used in the fields during raw material production. This problem can be framed from the point of view of the Focal Company (FC) as a raw material Green Supplier Selection Problem (GSSP). This paper describes an extension of the GSSP methodology that integrates life cycle assessment, environmental collaborations, and contract farming in order to gain social and environmental benefits. In this approach, risk and gains are shared by both parties, as well as information related to agricultural practices through which the FC can optimize global performance by deciding which suppliers to contract, capacity and which practices to use at each supplying field in order to optimize economic performance and environmental impact. The FC provides the knowledge and technology needed by the supplier to reach these objectives via a contract farming scheme. A case study is developed in order to illustrate and a step-by-step methodology is described. A multi-objective optimization strategy based on Genetic Algorithms linked to a MCDM approach to the solution selection step is proposed. Scenarios of optimization of the selection process are studied to demonstrate the potential improvement gains in performance.

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Selecting Green Suppliers with Analytic Hierarchy Process for Biotechnology Industry

Cited by 17 publications

References 54 publications

Identifying and ranking of strategies to implement green supply chain management in Indian manufacturing industry using Analytical Hierarchy Process

Identifying and ranking of strategies to implement green supply chain management in Indian manufacturing industry using Analytical Hierarchy Process

Skilled Manpower Selection for Micro, Small and Medium Enterprises: A Fuzzy Decision Making Approach

Green Supplier Selection in the Agro-Food Industry with Contract Farming: A Multi-Objective Optimization Approach

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