Performance Estimation of Firms by G-L-A Supply Chain under Imperfect Data

2017 ◽  
pp. 245-277 ◽  
Author(s):  
Anoop Kumar Sahu ◽  
Nitin Kumar Sahu ◽  
Atul Kumar Sahu
Keyword(s):  
Supply Chain ◽  
Manufacturing Firms ◽  
Performance Estimation ◽  
Hypothetical Case ◽  
Centroid Method ◽  
Index Model ◽  
Imperfect Data ◽  
Case Research ◽  
Overall Performance ◽  
Overall Efficiency

Amongst various proposed SC philosophies, Lean, Green and Agile strategies of SC worked seminal to solve many problems of firms. Performance measurement acts as a tool to quantify overall efficiency via G-L-A SC activities of firm, where Green SC agenda is to control and diminish pollution and Lean SC helps to reduce waste of firm, while Agile SC target to manage SC more cum quick responding to clients. This chapter proposed a MCDM performance appraisement module (module constituted by mixing the segregated chain of green-lean-agile logistic activities and corresponding their interrelated metrics) conjunctive with Fuzzy Performance Index model in purpose to estimation the overall performance of individual firm. Furthermore, a centroid method coupled with fuzzy number set is proposed for classifying ill and strong G-L-A metrics of firm, so that managers could escalate their firms performance in case of non desirable performance. A hypothetical case research of two firms i.e. gear and shaft manufacturing firms are shown to measure their performance under G-LA supply chain.

Performance Estimation of Firms by G-L-A Supply Chain under Imperfect Data

2020 ◽  
pp. 999-1031
Author(s):  
Anoop Kumar Sahu ◽  
Nitin Kumar Sahu ◽  
Atul Kumar Sahu
Keyword(s):  
Supply Chain ◽  
Manufacturing Firms ◽  
Performance Estimation ◽  
Hypothetical Case ◽  
Centroid Method ◽  
Index Model ◽  
Imperfect Data ◽  
Case Research ◽  
Overall Performance ◽  
Overall Efficiency

Amongst various proposed SC philosophies, Lean, Green and Agile strategies of SC worked seminal to solve many problems of firms. Performance measurement acts as a tool to quantify overall efficiency via G-L-A SC activities of firm, where Green SC agenda is to control and diminish pollution and Lean SC helps to reduce waste of firm, while Agile SC target to manage SC more cum quick responding to clients. This chapter proposed a MCDM performance appraisement module (module constituted by mixing the segregated chain of green-lean-agile logistic activities and corresponding their interrelated metrics) conjunctive with Fuzzy Performance Index model in purpose to estimation the overall performance of individual firm. Furthermore, a centroid method coupled with fuzzy number set is proposed for classifying ill and strong G-L-A metrics of firm, so that managers could escalate their firms performance in case of non desirable performance. A hypothetical case research of two firms i.e. gear and shaft manufacturing firms are shown to measure their performance under G-LA supply chain.

Green supply chain management assessment under chains of uncertain indices

2018 ◽  
Vol 13 (4) ◽  
pp. 973-993 ◽  
Author(s):  
Nitin Kumar Sahu ◽  
Atul Kumar Sahu ◽  
Anoop Kumar Sahu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Index ◽  
Green Supply Chain ◽  
Green Products ◽  
Chain Management ◽  
Content Type ◽  
Case Research ◽  
Green Practices ◽  
Overall Performance

Purpose Around the world, protecting environment and purchasing green products by the manufacturing firms progressively becomes a popular and important issue. Manufacturers are realizing the importance of producing green products under green practices. This study aims to propose an appraisement platform to evaluate the overall performance index of a firm under green practices. Furthermore, the study also helps in identifying ill-performing areas, which necessarily require future attention to augment green supply chain (GSC) of a firm. A case research is conducted to assess the real-life application by the proposed approach. Design/methodology/approach The authors used fuzzy performance index to measure the overall performance index of a firm. Beside this, they proposed a degree of similarity approach amalgamated with fuzzy performance importance index to classify the ills and strong indices in GSC extent. Finding The intermittent assessment of green practices and their metrics in the organizational supply chain management (SCM) is indeed necessary. The present study provides an appraisement module to assess overall GSC fuzzy performance index and also helps in identifying the ill-performing areas which require future augmentation toward successful green implementation. Originality/value The exposed research work dealt with chains of subjective indices (measure and their interrelated metrics), which are induced into hierarchical appraisement module. To tackle the uncertainty of indices, the subjective indices are transposed into interval-valued fuzzy number set (IVFNS), as IVFNs are preferred to undertake the uncertainty of GSC indices. The proposed approach is demonstrated with a case research to justify its validity and originality.

Performance measurement for supply chain management and quality management integration

2019 ◽  
Vol 27 (7) ◽  
pp. 2130-2147 ◽  
Author(s):  
Marcio C. Machado ◽  
Renato Telles ◽  
Paulo Sampaio ◽  
Maciel M. Queiroz ◽  
Ana Cristina Fernandes
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Performance Measurement ◽  
Performance Measures ◽  
Chain Management ◽  
Content Type ◽  
Theoretical Perspectives ◽  
Overall Performance ◽  
Key Aspects

Purpose The purpose of this paper is to present a conceptual framework for performance measurement (PM) for the integration of supply chain management (SCM) and quality management (QM). Design/methodology/approach A systematic literature review on SCM and QM was conducted to develop key performance measures related to six areas of integration between QM and SCM: leadership; continuous improvement and innovation; sustainability performance; stakeholders; information system; and management and strategic planning. Findings Supported by the literature concerning to supply chain quality management (SCQM) integration, a set of nine propositions about performance measures, that contribute to the integration of SCQM, were developed. Originality/value This study contributes to QM practices within a supply chain environment from an integrated perspective. Additionally, the propositions have significant implications from both managerial and theoretical perspectives. This study also extends the concept of supply chain quality integration by focusing on key aspects of PM that may help to improve the overall performance of the supply chain.

Measuring Performance of a Three-Stage Network Structure Using Data Envelopment Analysis and Nash Bargaining Game: A Supply Chain Application

2018 ◽  
Vol 17 (05) ◽  
pp. 1429-1467 ◽  
Author(s):  
Mohammad Amirkhan ◽  
Hosein Didehkhani ◽  
Kaveh Khalili-Damghani ◽  
Ashkan Hafezalkotob
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Nash Bargaining ◽  
Data Envelopment ◽  
Second Stage ◽  
Proposed Model ◽  
Nash Bargaining Game ◽  
Dea Models ◽  
Overall Efficiency

The issue of efficiency analysis of network and multi-stage systems, as one of the most interesting fields in data envelopment analysis (DEA), has attracted much attention in recent years. A pure serial three-stage (PSTS) process is a specific kind of network in which all the outputs of the first stage are used as the only inputs in the second stage and in addition, all the outputs of the second stage are applied as the only inputs in the third stage. In this paper, a new three-stage DEA model is developed using the concept of three-player Nash bargaining game for PSTS processes. In this model, all of the stages cooperate together to improve the overall efficiency of main decision-making unit (DMU). In contrast to the centralized DEA models, the proposed model of this study provides a unique and fair decomposition of the overall efficiency among all three stages and eliminates probable confusion of centralized models for decomposing the overall efficiency score. Some theoretical aspects of proposed model, including convexity and compactness of feasible region, are discussed. Since the proposed bargaining model is a nonlinear mathematical programming, a heuristic linearization approach is also provided. A numerical example and a real-life case study in supply chain are provided to check the efficacy and applicability of the proposed model. The results of proposed model on both numerical example and real case study are compared with those of existing centralized DEA models in the literature. The comparison reveals the efficacy and suitability of proposed model while the pitfalls of centralized DEA model are also resolved. A comprehensive sensitivity analysis is also conducted on the breakdown point associated with each stage.

Product Resynthesis as a Reverse Logistics Strategy for an Optimal Closed-Loop Supply Chain

2013 ◽  
Author(s):  
Chinmay Sane ◽  
Conrad S. Tucker
Keyword(s):  
Supply Chain ◽  
Reverse Logistics ◽  
Closed Loop ◽  
Manufacturing Firms ◽  
Third Party ◽  
High Tech ◽  
Closed Loop Supply Chain ◽  
Supply Chain Strategy ◽  
Logistics Strategy ◽  
Original Product

With continued emphasis on sustainability-driven design, reverse logistics is emerging as a vital competitive supply chain strategy for many of the global high-tech manufacturing firms. Various original equipment manufacturers (OEMs) and multi-product manufacturing firms are enhancing their reverse logistics strategies in order to establish an optimal closed-loop supply chain through which they can introduce refurbished variants of their products back into the market. While a refurbished product strategy helps to mitigate environmental impact challenges as well as provide additional economic benefits, it is limited to an existing product market, possibly a subset of the existing market, and fails to commercialize/target new markets. In addition to refurbishing, the alternatives available for utilizing End-Of-Life (EOL) products are currently restricted to recycling and permanent disposal. In this work, the authors propose employing a new EOL option called “resynthesis” that utilizes existing waste from EOL products in a novel way. This is achieved through the synthesis of assemblies/subassemblies across multiple domains. The “newly” synthesized product can then be incorporated into the dynamics of a closed-loop supply chain. The proposed methodology enables OEMs to not only offer refurbished products as part of their reverse logistics strategy, but also provide them with resynthesized product concepts that can be used to expand to new/emerging markets. The proposed methodology provides a general framework that includes OEMs (manufacturers of the original product), retailers (distributors of the original product and collectors of the EOL products) and third-party firms (managers of the EOL products) as part of a closed-loop supply chain strategy. The proposed methodology is compared with the existing methodologies in the literature wherein a third-party supplies the OEM only with refurbished products and supplies products unsuitable for refurbishing to another firm(s) for recycling/disposal. A case study involving a multi-product electronics manufacturer is presented to demonstrate the feasibility of the proposed methodology.

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