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 Evaluating Partnerships in Sustainability-Oriented Food Supply Chain: A Five-Stage Performance Measurement Model

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3473 ◽  
Author(s):  
Shashi ◽  
Rajwinder Singh ◽  
Piera Centobelli ◽  
Roberto Cerchione
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Food Supply ◽  
Energy Efficient ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Food Supply Chain ◽  
Stage Performance ◽  
Indian Food

This study aims to investigate how overall food supply chain performance (FSCP) often depends on the performance of partners in a sustainable and energy-efficient supply chain. Initially, the study classifies the FSCP and further examines the partner relationships in sustainability-oriented food supply chain (FSC). To do so, the study proposes and formally tests a five-stage performance measurement model. The present research mainly focuses on the Indian food industry. Results highlight significant direct and indirect positive performance relationships between the different FSC stages. The structural equation modeling analysis highlights that producer’s performance positively impacts supplier’s performance, processor’s performance, and distributor’s performance. Moreover, supplier’s performance positively impacts processor’s performance, distributor’s performance, and retailer’s performance, and also processor’s performance positively impacts both distributor’s performance and retailer’s performance. Lastly, distributor’s performance positively impacts retailer’s performance. The study suggests that regular performance improvement at each FSC stage would improve the performance of the next stage players. Most importantly, the direct impact of each partner’s performance is comparatively high on its immediate next partner’s performance. Furthermore, this study will assist practitioners to understand various FSCP measurement issues and make significant improvements in their sustainable and energy-efficient supply chain practices.

scholarly journals MEASUREMENT OF SUPPLY CHAIN PERFORMANCE USING DATA ENVELOPMENT ANALYSIS (DEA) METHOD IN THE DISTRICT AND CITY OF BOGOR

2019 ◽  
Vol 7 (11) ◽  
pp. 222-227
Author(s):  
Wilda Sukmawati ◽  
◽  
Machfud a ◽  
Ono Suparno ◽  
Aji Hermawan ◽  
...  
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Dea Method ◽  
Using Data

scholarly journals The Efficiency of Garlic Supply Chain Actors Measured using Data Envelopment Analysis (DEA) Method in Karanganyar, Indonesia

2020 ◽  
Vol 35 (2) ◽  
pp. 168
Author(s):  
Betha Wahyuningtyas ◽  
Kusnandar Kusnandar ◽  
Sutrisno Hadi Purnomo
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Sampling Technique ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Snowball Sampling ◽  
Method Performance ◽  
Decision Making Unit ◽  
Dea Method ◽  
Using Data

<p>One of the obstacles to the development of agribusiness is related to supply chain management. The availability of supply is the most important factor in influencing supply chain performance. Without a stable and routine supply, supply chain performance will be disrupted. Karanganyar Regency is one of the production centers of horticultural commodities, particularly garlic. This study aimed to analyze the efficiency of each garlic supply chain actor in Karanganyar Regency. The research was conducted from March to April 2019. The efficiency of each supply chain actor in this study was measured using Data Envelopment Analysis (DEA) method. Performance measurement was done through the DEA approach and the performance attributes were input and output variables. The respondents observed were 50 farmers and 13 supply chain actors working in institutions. The samples of farmers were taken using purposive sampling technique, while the samples of supply chain actors were obtained using snowball sampling. The results have shown that the most efficient supply chain actors were retailers with an efficiency value of 1 (100%), while inefficient supply chain actors were farmers with an average efficiency value of 0.709. From a total of 50 Decision Making Unit (DMU) of total farmers, 13 DMU (26%) were efficient, while 37 DMU (74%) were inefficient and further need improvements, like using certified seeds and suitable fertilizer recommendations, as well as reducing external labor during the process of maintenance, harvesting and post-harvest. Farmers are expected to have the desire to learn from referral farmers.</p>

scholarly journals Efsiensi Kinerja Rantai Pasok Gula Semut CV. Menoreh Politan Di Kabupaten Kulon Progo (Efficiency of CV Menoreh Politan Supply Chain Performance Of Coconut Sugar , Kulon Progo Regency)

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Annisa Fajar Fadhilah
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Maximum Efficiency ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Order Fulfillment ◽  
Chain Flexibility ◽  
Supply Chain Flexibility ◽  
Input Variables ◽  
Using Data

CV Menoreh Politan is one of sugar coconut companies in Kalibuko, Kokap, Kulon Progo Regency Yogyakarta. Some of its coconut sugar products are sent to various regions in Indonesia, and some others are occasionally exported. The company, however, had encountered some constraints both in supply and product fulfillment. This research was,  therefore, aimed at studying the efficiency of performance at CV Menoreh Politan. The input variables used were order fulfillment cycle, supply chain flexibility, total supply chain cost, cash to cash cycle time, and daily inventory, while input variables for output of supply chain performance were delivery performance, order fulfillment, and conformity with standard. The efficiency of coconut sugar supply chain performance is analyzed by Data Envelopment Analysis (DEA) method with constant return to scale (CRS) assumption.  Analysis of farmer efficiency by using Data Envelopment Analysis (DEA) resulted in farmer efficiency level. CV Menoreh Politan has operated efficiently with its 14 partners (24.14 percent), while the remaining 44 farmers of CV Menoreh Politan (75.86 percent) have not reached the maximum efficiency level. The inefficiency of farmers was largely due to the cost of supply chains and long-term enterprise turnover. Overall, the collectors have been fully operational. Similarly, the company has been technically efficient, meaning that in terms of input and output, it has been good.

scholarly journals Performance Management of Supply Chain Sustainability in Small and Medium-Sized Enterprises Using a Combined Structural Equation Modelling and Data Envelopment Analysis

2019 ◽  
Author(s):  
Prasanta Kumar Dey ◽  
Guo-liang Yang ◽  
Chrysovalantis Malesios ◽  
Debashree De ◽  
Konstantinos Evangelinos
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Structural Equation ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Sustainable Supply Chain ◽  
Policy Makers ◽  
Sustainability Performance ◽  
Equation Modelling ◽  
Improvement Measures

AbstractAlthough the contribution of small and medium-sized enterprises (SMEs) to economic growth is beyond doubt, they collectively affect the environment and society negatively. As SMEs have to perform in a very competitive environment, they often find it difficult to achieve their environmental and social targets. Therefore, making SMEs sustainable is one of the most daunting tasks for both policy makers and SME owners/managers alike. Prior research argues that through measuring SMEs’ supply chain sustainability performance and deriving means of improvement one can make SMEs’ business more viable, not only from an economic perspective, but also from the environmental and social point of view. Prior studies apply data envelopment analysis (DEA) for measuring the performance of groups of SMEs using multiple criteria (inputs and outputs) by segregating efficient and inefficient SMEs and suggesting improvement measures for each inefficient SME through benchmarking it against the most successful one. However, DEA is limited to recommending means of improvement solely for inefficient SMEs. To bridge this gap, the use of structural equation modelling (SEM) enables developing relationships between the criteria and sub-criteria for sustainability performance measurement that facilitates to identify improvement measures for every SME within a region through a statistical modelling approach. As SEM suggests improvements not from the perspective of individual SMEs but for the totality of SMEs involved, this tool is more suitable for policy makers than for individual company owners/managers. However, a performance measurement heuristic that combines DEA and SEM could make use of the best of each technique, and thereby could be the most appropriate tool for both policy makers and individual SME owners/managers. Additionally, SEM results can be utilized by DEA as inputs and outputs for more effective and robust results since the latter are based on more objective measurements. Although DEA and SEM have been applied separately to study the sustainability of organisations, according to the authors’ knowledge, there is no published research that has combined both the methods for sustainable supply chain performance measurement. The framework proposed in the present study has been applied in two different geographical locations—Normandy in France and Midlands in the UK—to demonstrate the effectiveness of sustainable supply chain performance measurement using the combined DEA and SEM approach. Additionally, the state of the companies’ sustainability in both regions is revealed with a number of comparative analyses.

scholarly journals Measuring agri-food supply chain performance and risk through a new analytical framework: a case study of New Zealand dairy

2018 ◽  
Vol 29 (15) ◽  
pp. 1258-1274 ◽  
Author(s):  
Muhammad Moazzam ◽  
Pervaiz Akhtar ◽  
Elena Garnevska ◽  
Norman E. Marr
Keyword(s):  
Supply Chain ◽  
New Zealand ◽  
Food Supply ◽  
Analytical Framework ◽  
Supply Chain Performance ◽  
Food Supply Chain
Sign in / Sign up

Export Citation Format

Share Document