Supply Chain Management Performance Evaluation Based on Fuzzy Analytical Network Process

2009 ◽  
Author(s):  
Baozhu Li
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Supply Chain Management ◽  
Management Performance ◽  
Chain Management ◽  
Analytical Network Process ◽  
Network Process

scholarly journals STRATEGI PENGEMBANGAN RANTAI PASOK KENTANG BERKELANJUTAN DI KABUPATEN MAGETAN

2019 ◽  
Vol 36 (2) ◽  
pp. 163
Author(s):  
Arum Hidayati ◽  
Heru Irianto ◽  
NFN Kusnandar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Value Added ◽  
Potato Production ◽  
Sustainable Supply Chain ◽  
Economic Dimension ◽  
Chain Management ◽  
Analytical Network Process ◽  
Sustainable Supply Chain Management ◽  
Network Process

<strong>English</strong><br />The accelerating demand growth as reflected by significant increase of potato consumption per capita indicates high potential of potato development in Indonesia. Potato production in Magetan Regency in recent years, however, has been fluctuating, perhaps due to some weaknesses in its supply chains. The objective of this study, therefore, is to formulate a sustainable supply chain development strategy for potato in Magetan Regency. The study was conducted using the Sustainable Supply Chain Management perspective and the Analytical Network Process. The study was conducted in 2016. The results show that development of sustainable supply chain is the key for accelerating and stabilization of potato production growth. Although the economic dimension is the highest priority, the social and environmental dimensions are almost equally important as well. While varietal and technological choice should be based on the highest profit, it nevertheless should also be socially acceptable and environmentally friendly, such as the Granola variety in Magetan Regency. The priority actors are farmers, government, and traders (collectors and wholesalers). The priority strategic action programs are increasing potato farming product quality and productivity, increasing potato value added, and empowering of farmers and farmers’ groups.<br />Keywords:  <br /><br /><strong>Indonesian</strong><br />Akselerasi pertumbuhan permintaan yang dicerminkan oleh peningkatan nyata konsumsi per kapita mengindikasikan bahwa kentang berpotensi besar untuk dikembangkan di Indonesia. Namun demikian, produksi kentang di Kabupaten Magetan dalam beberapa tahun terakhir ternyata berfluktuasi yang ditengarai akibat dari beberapa kelamahan pada rantai pasok. Sejalan dengan itu, penelitian ini bertujuan untuk merumuskan strategi pengembangan kinerja rantai pasok berkelanjutan untuk kentang di Kabupaten Magetan. Penelitian dilakukan dengan perspektif Sustainable Supply Chain Management dan metode analisis the Analytical Network Process. Penelitian dilakukan pada 2016. Penelitian menunjukkan bahwa pengembangan rantai pasok berkelanjutan adalah kunci untuk akselerasi dan stabilisasi produksi. Dimensi ekonomi merupakan prioritas utama, namun dimensi sosial dan lingkungan hampir sama pentingnya. Pemilihan varietas atau teknologi didasarkan pada keuntungan terbesar, namun juga diterima secara sosial dan ramah lingkungan, seperti varietas Granola di Kabupaten Magetan. Aktor terpenting ialah petani, pemerintah, dan pedagang (pengumpul dan pedagang besar). Program aksi strategis diprioritaskan pada peningkatan kualitas dan produktivitas usaha tani, peningkatan nilai tambah kentang, serta pemberdayaan petani dan kelompok tani.

scholarly journals Research on the Degree of Ecological Supply Chain Management Practice among Chinese Manufacturing Enterprises

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Xiaohua Chen ◽  
Guoyi Xiu
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Supply Chain Management ◽  
Management Practice ◽  
Analytic Network Process ◽  
Supply Chain Performance ◽  
Chain Management ◽  
Management Level ◽  
Manufacturing Enterprises ◽  
Network Process

Based on the existing literature, this paper proposes two assumptions and designs a set of ecological supply chain performance evaluation indicators system. Because these indicators are interdependence for each other, this paper selects the analytic network process and builds the ANP network model to evaluate the degree of ecological supply chain management practice among Chinese manufacturing enterprises. The evaluation results show that there is different level indeed about the ecological supply chain management level; the better the ecological supply chain management practice degree is, the more quickly the ecological supply chain management performance levels increase.

scholarly journals Environmental Issues in Supply Chain Management using MCDM Tool - An Example from Mining Industry

2019 ◽  
Vol 8 (4S2) ◽  
pp. 196-201
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Mining Industry ◽  
Environmental Issues ◽  
Analytic Network Process ◽  
Green Supply Chain ◽  
Chain Management ◽  
Network Process ◽  
Main Factors ◽  
Decision Making Tool

Green supply chain management is being concerned for both development and eminent difficulties are observed through supply chain mining activities. In Mining Industry, All the exercises engaged with extraction, generation, circulation add to ecological concerns. The ecological and health problem are still now prevailing due to uncaring in green supply chain activities. In our thesis the environmental problems are categorized as main factors and sub factors by collecting opinion from industrial experts & reputed literature survey. The main factors and sub- factors are rated and evaluated by one of the multi criteria decision making tool (MCDM) i.e Fuzzy Analytic Network Process (ANP). According to AHP, the main factors and sub factors are rated and arranged as more affecting factor to environment based on global value attained. As the result, it was found that the most influencing factors are Impact on land and its sub factors.

Building a Decision Dashboard for Improving Green Supply Chain Management

2018 ◽  
Vol 17 (05) ◽  
pp. 1363-1398 ◽  
Author(s):  
Yen-Ching Chuang ◽  
Shu-Kung Hu ◽  
James J. H. Liou ◽  
Huai-Wei Lo
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Integral Method ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Fuzzy Integral ◽  
Chain Management ◽  
Network Process ◽  
Linear Aggregation ◽  
Green Suppliers

This paper proposes a decision model with a dashboard for systematically selecting and improving the performance of supplier in green supply chain management. The model combines both the decision-making trial and evaluation laboratory-based analytical network process (DANP) with a fuzzy integral method. The DANP method is used to construct the network system and derives the weights. The fuzzy integral method is applied to avoid inconsistent assumptions between the interdependence relation and linear aggregation for obtaining the aspiration-gaps of green suppliers. Last, the visualized dashboard allows for a clear representation of the interdependent-network structure of the attributes to assist companies in the selection of suitable suppliers, as well as assisting the suppliers in improving their performance with higher levels of service. A Taiwanese Electronics Company is demonstrated as an example. The results demonstrate that the dashboard can enable managers to make better decisions from a systematic perspective.

Data-driven quality improvement approach to reducing waste in manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rose Clancy ◽  
Dominic O'Sullivan ◽  
Ken Bruton
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Process Improvement ◽  
Six Sigma ◽  
Data Driven ◽  
Manufacturing Processes ◽  
Management Performance ◽  
Chain Management ◽  
Content Type

PurposeData-driven quality management systems, brought about by the implementation of digitisation and digital technologies, is an integral part of improving supply chain management performance. The purpose of this study is to determine a methodology to aid the implementation of digital technologies and digitisation of the supply chain to enable data-driven quality management and the reduction of waste from manufacturing processes.Design/methodology/approachMethodologies from both the quality management and data science disciplines were implemented together to test their effectiveness in digitalising a manufacturing process to improve supply chain management performance. The hybrid digitisation approach to process improvement (HyDAPI) methodology was developed using findings from the industrial use case.FindingsUpon assessment of the existing methodologies, Six Sigma and CRISP-DM were found to be the most suitable process improvement and data mining methodologies, respectively. The case study revealed gaps in the implementation of both the Six Sigma and CRISP-DM methodologies in relation to digitisation of the manufacturing process.Practical implicationsValuable practical learnings borne out of the implementation of these methodologies were used to develop the HyDAPI methodology. This methodology offers a pragmatic step by step approach for industrial practitioners to digitally transform their traditional manufacturing processes to enable data-driven quality management and improved supply chain management performance.Originality/valueThis study proposes the HyDAPI methodology that utilises key elements of the Six Sigma DMAIC and the CRISP-DM methodologies along with additions proposed by the author, to aid with the digitisation of manufacturing processes leading to data-driven quality management of operations within the supply chain.

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