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

<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>

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

Applied Sciences ◽

10.3390/app9061199 ◽

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.

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An integrated approach using data envelopment analysis and balanced score card to supply chain performance evaluation

2015 International Conference on Industrial Engineering and Operations Management (IEOM) ◽

10.1109/ieom.2015.7093780 ◽

2015 ◽

Author(s):

Hamid Kazemkhanlou ◽

Hamidreza Ahadi

Keyword(s):

Supply Chain ◽

Performance Evaluation ◽

Data Envelopment Analysis ◽

Integrated Approach ◽

Supply Chain Performance ◽

Balanced Score Card ◽

Data Envelopment ◽

Score Card ◽

Using Data

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supply chain performance analysis of milkfish using data envelopment analysis method (case study ud. tbs)

PROZIMA (Productivity Optimization and Manufacturing System Engineering) ◽

10.21070/prozima.v4i2.1323 ◽

2021 ◽

Vol 4 (2) ◽

pp. 17-28

Author(s):

Windi Habsari ◽

Mohammad Fuad Fauzul Mu’tamar ◽

Abdul Azis Jakfar

Keyword(s):

Supply Chain ◽

Influential Factor ◽

Supply Chain Performance ◽

Data Envelopment ◽

Analysis Method ◽

Supply Chain System ◽

Performance Factors ◽

Dea Method ◽

Using Data

An industry's supply chain system must be intensely improved to improve the company's performance. Factors that influence a performance are reliability, responsiveness, agility or flexibility, cost and assets. The performance of milk fish supply chain at UD TBS has not yet been measured by the performance of each distributor, so it is not yet known how effective the performance of the supply chain and the factors that can affect its performance. The purpose of this study was to determine the factors that influence the performance of milk fish supply chains and DMU values by the DEA method. The results showed that the most influential factor was cash-to-cash cycle time (the time needed by the distributor to the company in ordering milkfish. The effectiveness value of 20 distributors was obtained 85% effective (green) and 10% ineffective (amber) and 5% ineffective (red).

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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)

Journal of Food System & Agribusiness ◽

10.25181/jofsa.v1i2.770 ◽

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.

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ANALISIS KINERJA RANTAI PASOK IKAN NILA PADA BANDAR SRIANDOYO DI KECAMATAN TUGUMULYO KABUPATEN MUSI RAWAS

MIX JURNAL ILMIAH MANAJEMEN ◽

10.22441/mix.2018.v8i1.010 ◽

2018 ◽

Vol 8 (1) ◽

pp. 166

Author(s):

Setiadi Setiadi ◽

Rita Nurmalina ◽

Suharno Suharno

Keyword(s):

Supply Chain ◽

Data Envelopment Analysis ◽

Technical Efficiency ◽

Efficiency Measurement ◽

Supply Chain Performance ◽

Data Envelopment ◽

Performance Achievement ◽

Dea Method ◽

Efficiency Rate ◽

Middle Status

Abstract. Measurement of supply chain performance is a necessary as an approach inorder to optimize supply chain of tilapia fish in Musi Rawas Regency. The purpose ofthis research is to analyze the performance of the supply chain of tilapia fish, and theefficiency of supply chain performance of tilapia fish at Bandar Sriandoyo inTugumulyo District, Musi Rawas Regency. The method that employed to measure theperformance of supply chain of tilapia fish was by comparing the value of SCORmetric performance attribute on partner farmer and Bandar Sriandoyo with superiortarget value on benchmarking. Analysis of efficiency of supply chain performance oftilapia fish was employing Data Envelopment Analysis (DEA) method. The input andoutput variables were based on the performance attributes of SCOR metrics. The resultsof measuring the performance of the supply chain of tilapia fish on the partner farmersand Bandar Sriandoyo has generally achieved good performance compared to thebenchmark. Where some performance attributes had achieved the target of the superiorstatus that is the best performance achievement. While the attributes of deliveryperformance and conformity with the standard achived the target of the advantage(middle) status. The results of chain performance efficiency measurement showed that23 partner farmers (60%) had achieved technical efficiency and having 100%performance efficiency value. While 15 partner farmers (40%) had not reachedtechnical efficiency. Bandar Sriandoyo has achieved technical efficiency because it hasachived a 100% performance efficiency rate, which means that the input and outputfactors are running according to the target.

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EVALUATING THE EFFICIENCY OF VIETNAM BANKS USING DATA ENVELOPMENT ANALYSIS

Annals of Financial Economics ◽

10.1142/s201049522150010x ◽

2021 ◽

pp. 2150010

Author(s):

DO THI THANH NHAN ◽

KIM-HUNG PHO ◽

DANG THI VAN ANH ◽

MICHAEL MCALEER

Keyword(s):

Data Envelopment Analysis ◽

Technical Efficiency ◽

Data Envelopment ◽

Resource Analysis ◽

Scientific Disciplines ◽

Business Efficiency ◽

Dea Method ◽

Using Data

Efficiency is a topic of great interest because its applications are diverse and rich. It is applied greatly in all scientific disciplines, especially accounting for a very large proportion in economics, finance and accounting. The main objective in this paper is to analyze the effectiveness of banks in Vietnam. In order to investigate this issue, there are several implements to examine bank effectiveness where the data envelopment analysis (DEA) method is widely used. This paper presents details of the DEA method. Using the data collected from banks in Vietnam for the period 2014–2017, the approach is executed to investigate issues of technical efficiency, resource analysis and business efficiency of banks in Vietnam.

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