scholarly journals An empirical supply chain measurement model for a national egg producer based on the supply chain operations reference model

2013 ◽  
Vol 7 (1) ◽  
Author(s):  
Christian Pretorius ◽  
George A. Ruthven ◽  
Konrad Von Leipzig
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Performance Measurement ◽  
Reference Model ◽  
Measurement Model ◽  
Supply Chain Performance ◽  
Data Set ◽  
Competitive Edge ◽  
Overall Performance ◽  
Real World Problems

The management of a supply chain is both an offensive and defensive weapon that organisations can use to increase their competitive edge and capture a larger share of the market. In management science and supply chain management, multi-criteria decision making techniques have been used to solve a range of real-world problems. The problem is that many, if not most, companies in South Africa either do not have the required skills to use these decision-making techniques to improve or re-configure their supply chain, or they do not have a complete data set with which to model it effectively. In order to manage supply chains effectively, organisations at the very least need feedback on the performance of their entire supply chain. In this article, generic supply chain performance measures were used and a theoretical or empirical model was developed for the performance measurement of a national egg producer’s supply chain. It focused on a managerial program for the identification and management of their supply chain with recommendations for applying a measurement model. The overall performance of the supply chain as well as the five different performance attributes was presented to management in a dashboard format. This article could be used as a basis for future studies of supply chain performance measurement and the model could be used as a foundation for developing an improved version, not only for the egg industry, but for other industries as well. 

scholarly journals Sustainable Agri-Food Supply Chain Performance Measurement Model for GMO and Non-GMO Using Data Envelopment Analysis Method

2019 ◽  
Vol 9 (6) ◽  
pp. 1199
Author(s):  
Virda Saputri ◽  
Wahyudi Sutopo ◽  
Muhammad Hisjam ◽  
Azanizawati Ma’aram
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Performance Measurement ◽  
Food Supply ◽  
Measurement Model ◽  
Assessment Method ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Food Supply Chain ◽  
Using Data

The increase in food demand in Indonesia is one of the consequences of the imbalance between population growth and declining food products. One of alternative technologies that can be used in plant breeding programs to increase agricultural production, in order to meet food demands, is genetically modified organism (GMO) technology. This technology presents a lot of pros and cons among the public-related impacts that will be accepted by consumers. The purpose of this study was to determine the level of sustainability between GMO and non-GMO foods. The performance measurement model for GMO and non-GMO foods was considered according to the seven issues of sustainability that represented environmental, social, and economic aspects. The assessment method was conducted by using Adjusted Profit (AP) with Total Price Recovery (TPR) indicators and Total Factor Productivity (TFP) by utilizing the Data Envelopment Analysis (DEA) Method. Assessments made on each supply chain component included agriculture, processing, and transport to wholesalers/retailers. This study used numerical examples of rice production in Indonesia. The research results found that the performance of non-GMO rice chain is better than GMO rice. It indicates that non-GMO rice is more sustainable. The results show that the proposed model can be applied to measure the sustainability of GMO and Non-GMO agri-food supply chain performance.

Measuring agri-food supply chain performance: insights from the Peruvian kiwicha industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Phillip S. Coles ◽  
Melissa Chavez ◽  
Benjamin Hazen
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Performance Management ◽  
Food Supply ◽  
Measurement Model ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Food Supply Chain ◽  
Content Type ◽  
Fuzzy Micmac

PurposeAgri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.Design/methodology/approachThis research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.FindingsThe resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.Originality/valueThe model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.

scholarly journals APPLYING CFMAE METHOD TO BUILD A SUPPLY CHAIN PERFORMANCE ASSESSMENT SYSTEM IN TEXTILE INDUSTRY IN HO CHI MINH CITY

2014 ◽  
Vol 17 (4) ◽  
pp. 69-82
Author(s):  
Thanh Van Vo ◽  
Trung Quoc Pham
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Performance Measurement ◽  
Measurement System ◽  
Textile Industry ◽  
Ho Chi Minh City ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Textile Supply Chain

The paper provides an application which is a combination between decision making technique and fuzzy logic to build a supply chain performance measurement system in textile industry in Ho Chi Minh City. The methodology is a combination of theoretical analysis, Delphi quantitative method and Combined Fuzzy Multiple Attribute Evaluation (CFMAE) method. First of all, based on theories on textile supply chain, we developed a hierarchical system for performance measurement. After three Delphi rounds to seek opinions of experts on the system, the CFMAE which consists of two phases (fuzzy integral and fuzzy analysis hierarchy process – FAHP) was conducted to build a supply chain performance measurement system in textile industry with general attributes. The study has constructed a supply chain performance measurement system in textile industry in Ho Chi Minh City with suitable attributes. The weight of attributes is determined as a general viewpoint of the industry of the importance of the attributes to the supply chain performance. In terms of practicality, this paper provides an approach in the performance measurement for the textile supply chain that serves as a framework for a centralized and effective improvement. The scientific meaning of this paper is the application of the fuzzy logic in economics and management to eliminate the subjectivity in the decision making process.

scholarly journals Performance Measurement of Military Supply Chains

2018 ◽  
Vol 8 (02) ◽  
Author(s):  
Sanjay Sethi
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Supply Chains ◽  
Reference Model ◽  
Armed Forces ◽  
The United States ◽  
Supply Chain Performance ◽  
Measurement Framework ◽  
The Government ◽  
The Military

Defence is the largest item of physical expenditure in the Union budget presented by the Government of India every year. A substantial portion of the budget is allocated for equipping the army, a task which is performed by a very complex and extended supply chain. Therefore, it is essential that the performance of the military’s supply chain is measured and monitored, so that the nation derives value from the expenditure made on the supply chain. Moreover, the effectiveness of the supply chain provides the defence forces competitive advantage, and thus its performance has a direct bearing on the country’s security. The wars in future are more likely to be a competition between the rival supply chains. Development of a suitable framework for measuring the performance of any extended supply chain is a challenging task. The challenge arises from the very design and nature of the supply chain construct. The entities which constitute the supply chain invariably have varied goals and objectives, and therefore more than often, they indulge in adversarial practices and operate in an environment of mutual distrust. The paper dwells upon the conceptual development of an ideal performance measurement framework for the military supply chain. It compares the military and commercial supply chains, and discusses some of the principal performance measurement frameworks, like the Balanced scorecard, Supply Chain Operations Reference model amongst others used by the commercial supply chains. It also discusses the endeavours made towards supply chain performance evaluation by some of the modern militaries to include that of the United States, United Kingdom, and Australia. It also briefly covers the Indian approach to evaluation of supply chain performance. The paper brings out the relevance of the subject, challenges there in, and its importance to the country’s armed forces.

Sign in / Sign up

Export Citation Format

Share Document