scholarly journals Performance measurement in supply chain

2018 ◽  
Vol 19 (4) ◽  
pp. 33-36
Author(s):  
Piotr Korneta ◽  
Andrzej Krzyszkowski ◽  
Magda Chmiel
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Measurement ◽  
Supply Chains ◽  
Performance Indicators ◽  
Measurement Model ◽  
Chain Management ◽  
Practical Performance ◽  
Measurement Concept

The article presents performance measurement concept with its application possibility in supply chain management. A practical performance measurement model in supply chains was also presented. Stated model comprises three key areas – transportation, resources and information technology optimization. Against each of aforementioned areas exemplar performance indicators were set. Contemplated model, pursuant to insignificant adjustments implementation, aimed to consider local aspects of supply chain partners, can be applicable in polish companies, that constitute supply chains.

Performance modeling and benchmarking of green supply chain management

2018 ◽  
Vol 25 (7) ◽  
pp. 2248-2271 ◽  
Author(s):  
Atul Kumar Sahu ◽  
Harendra Kumar Narang ◽  
Mridul Singh Rajput ◽  
Nitin Kumar Sahu ◽  
Anoop Kumar Sahu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Measurement ◽  
Environmental Sustainability ◽  
Measurement Model ◽  
Triangular Fuzzy Number ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Content Type

Purpose Based on the existing literature in the field of green supply chain management (GSCM), the purpose of this paper is to find essential to conceptualize and develop an efficient appraisement platform for the purpose of benchmarking green alternative in supply chain network. Design/methodology/approach The authors explored multiple approaches, i.e. Višekriterijumsko kompromisno rangiranje (VIKOR), simple additive weighting (SAW) and grey relational analysis (GRA) by amalgamating fuzzy sets theory to select the most appropriate alternative for GSCM. The work is supported by triangular fuzzy number sets to choose the green alternative industry among available industries, while dealing with the uncertainty and vagueness in GSCM. A case study is exposed to identify strong and weak indices and to exhibit the feasibility of the proposed work. Findings It is requisite by the managers of many firms to identify the strong and weak indices relating their firms. Thus, the authors presented an approach for measuring and appraising the performance of the selected green alternative by determining the strong and weak indices. The presented work illustrates the performance measurement model that identifies comprehensive GSCM practices of the firms. The presented work incorporates green supply chain activities to support environmental sustainability throughout the supply chain. Research limitations/implications GSCM is necessary to the firms, as it considers impact onto the environment due to their supply chain activities. The authors build decision support system to facilitate the managers of various firms for modeling green practices in their decision making. The authors attempt to devise a conceptual framework linked with knowledge-based theory. Originality/value The authors conceptualized VIKOR, SAW and GRA methodology to rank and benchmark the green performance of distinguish alternative industries among available industries. Additionally, the performance measurement model for the selected significant green alternative is presented for determining the strong and weak indices.

Lesconsumer-to-consumer supply chains

2018 ◽  
Vol 44 (277) ◽  
pp. 93-107
Author(s):  
Aurélien Rouquet ◽  
Christine Roussat ◽  
Valentina Carbone
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Chain Management ◽  
Le Fort

La littérature ensupply chain management(SCM) a délaissé un type desupply chains : lesconsumer-to-consumer(C2C)supply chains, qui relient les consommateurs lorsqu’ils échangent des produits. Reposant sur une approche conceptuelle, cet article montre à la communauté logistique et SCM l’intérêt qu’il y a à explorer cessupply chains. L’article dégage quatre spécificités de ces chaînes : 1) leur orientation perpendiculaire auxsupply chainsclassiques, 2) le fort amateurisme de ses acteurs, 3) leur large encastrement social, 4) leur structure plus directe. L’étude des C2Csupply chainsest susceptible d’élargir le spectre du SCM en y intégrant plus fortement le consommateur.

scholarly journals Supply Chain Management Open Innovation: Virtual Integration in the Network Logistics System

2021 ◽  
Vol 7 (1) ◽  
pp. 54
Author(s):  
Vladimir Shcherbakov ◽  
Galina Silkina
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
System Integration ◽  
Business Models ◽  
Industrial Revolution ◽  
Linear Models ◽  
Logistics System ◽  
Chain Management ◽  
Economic Relations

The customer-oriented approach is actively developing within the global trend of the modern industrial revolution that is Industry 4.0. The focus on customer interests has led to cooperation and integration in supply chains, improving their efficiency and increasing transparency, awareness, and trust. However, an issue emerging in this scenario is that conventional supply chain management (SCM) procedures are unable to identify the potential proposal for a particular user. Modern businesses need to build integrated supply chains, which require well-developed infrastructure and easily available complementary services, relying on logistics as a networking technology. Supply chains of this generation grow from traditional individual desynchronized economic relations (linear models with some feedback and the simplest network configurations) to scalable, adaptable, harmonized partner networks. The logistics potential allows additional income by reducing the total costs of participants in the network, thus increasing the competitiveness of companies; this can be implemented based on new models of interaction in the current digital environment through, firstly, system integration. Our goal consists of identifying the essential characteristics of system integration and substantiating the methods for its implementation in the digital economy. The study is based on the analysis of global best practices, considering the reports from leading consulting companies and competent analytical agencies. We have confirmed that the role of a virtual system integrator of supply chains belongs to logistics platforms; the effects of a transition to platform business models are discussed in detail.

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.

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