Agro-industry Supply Chain Research Articles

Sustainability performance assessment of sago industry supply chain using a multi-criteria adaptive fuzzy inference model

Background Sustainable supply chains are more competitive than conventional supply chains. Supply chain sustainability performance needs to be carried out to determine sustainability under current conditions and to design appropriate strategies to increase sustainability. This study aims to design a sustainability performance assessment model for the sago agro-industry supply chain and identify critical indicators for sustainability improvement. Methods The Fuzzy Inference System (FIS) evaluates sustainability on three levels: economic, social, and environmental. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is then used to aggregate the overall sustainability performance. The cosine amplitude method (CAM) was used to analyze key indicators. This study assessed the sustainability performance on industrial- and small-medium-scale sago agro-industry. Results The results show that the supply chain sustainability performance on the industrial scale is 44.25, while it is 48.81 for the small-medium scale with the same status, almost sustainable. Key indicators for improving sago agro-industry supply chain sustainability performance include profit distribution among supply chain actors, institutional support for supply chains, waste utilization (reuse & recycle), and the availability of waste management facilities. The implication of this research for managers regards assessing the current status of sustainability performance and key indicators as a reference for formulating sustainability strategies and practices. Implication The sago agro-industry sustainability performance evaluation methodology uses industry-relevant metrics to assess supply chain sustainability, promoting collaboration among stakeholders and assisting in the creation of sustainable strategies. Conclusions The results of the study will enable supply chain actors to understand the key indicators for improving sustainability performance in the sago agro-industry supply chain, especially in Meranti Islands Regency, Riau Province. The proposed model can be applied to other agro-industries by adjusting the indicators used and assessing data availability and suitability for the research object.

Supply chain risk assessment using best worst method: a case study of agro-industry skipjack tuna in Ambon - Indonesia

One of the main issues in the agro-industry supply chain is identifying and ranking different risk factors to maintain business continuity. This study discusses the agro-food supply chain risk assessment for smoked skipjack tuna in Ambon. Related literature and expert interviews identify risk factors that arise along the supply chain. These risk factors are contained in internal risk, company external operational risk, and macro-level risk. This research aims to evaluate comprehensively the risk factors of the smoked skipjack agro-industry supply chain, which are a priority to be addressed. The decision-making framework uses the BWM (Best Worst Method) to determine each risk factor's relative weight, followed by a sensitivity analysis to determine how robust the outcome is. Experts pick the risk factor assessment, and then an optimization model is modelled to obtain the weight of each risk factor, which is calculated with the help of Lingo software. The findings show that three risk factors will be prioritized to be addressed out of the eleven risk factors assessed, namely "Quality of the final product," "Financial instability," and "degradation of fish populations." Sensitivity analysis was also carried out to see the overall robustness of the results achieved. The weight of the selected risk factor ("final product quality (R1c)") has its weight value changed from 0.1 to 0.9 with an increase of 0.1. These findings are expected to help smoked skipjack tuna agro-industry managers make decisions to reduce supply chain risks and better administration management to maintain the sustainability of their business processes.

Analisis Nilai Tambah untuk Meningkatkan Keberlanjutan Rantai Pasok Agroindustri Kopi di Kabupaten Kerinci

The purpose of the research is to analyze the amount of added value obtained by the actors and design a proposed strategy to increase the sustainability index in the coffee agro-industry supply chain. The analysis of added value was carried out using Hayami. The stages carried out were conversion analysis, identification of actors involved in the supply chain and calculating the profits of each actor. The amount of profit obtained by the actors in the existing supply chain is quite diverse, where the largest profit is obtained by KUB (80.42%), while the smallest profit is obtained by farmers, namely 56.96%.

ANALYSIS OF SUPPLY CHAIN PERFORMANCE AND ADDED VALUE OF TEMPEH IN MATARAM CITY

Supply chain performance measurement presents a valuable opportunity to enhance and advance supply chain management practices across various industries, including the tempeh agroindustry. The research was aimed at analyzing the structure and performance of the supply chain, as well as the added value of the tempeh agroindustry in Mataram city. The study utilized a descriptive method that involved interviewing several respondents. Collected data was analyzed using the Supply Chain Operation Reference (SCOR) method version 9, and Hayami Model Added Value Analysis. The results indicated that the stakeholders involved in the agroindustry supply chain in Mataram city were soybean importers in Java, local soybean supply agents, tempeh agroindustry entrepreneurs, and tempeh retailers. The study found that the tempeh agroindustry supply chain performance attained superior performance in the Reliability, Flexibility, Responsiveness, and Asset attributes. On the other hand, the Total Supply Chain Cost attribute recorded poor performance. Processing one kilogram of soybeans into tempeh yielded an added value of IDR. 9,280.82, with an added value ratio of 43.56%, and is categorized as moderate.

Kinerja rantai pasok PT. X dalam upaya peningkatan keberlanjutan dan responsivitas agroindustri kelapa sawit

The supply chain of the palm oil agro-industry is quite complicated and lengthy and involves many actors. This causes supply chain performance to be less than optimal. In addition, it also raises doubts applying the principle of sustainability in its business activities. Therefore, it is necessary to evaluate the performance of the supply chain of the palm oil agro-industry to know the actual conditions at the moment and to identify existing problems and opportunities for improvement. Thus, the right strategy can be formulated to increase the sustainability and responsiveness of the palm oil agro-industry. This study aims to identify the condition of the palm oil agro-industry supply chain mechanism and analyze the performance of the palm oil agro-industry supply chain so that improvement strategies can be formulated. Analysis of the supply chain performance of the palm oil agro-industry was determined using the Supply Chain Operation Reference (SCOR) method by weighting the results of the Analytical Hierarchy Process questionnaire (AHP) to obtain the supply chain. The results showed that the supply chain structure of the palm oil agro-industry consisted of farmers, transportation, palm oil mills, private partners, distributors, and consumers. Analysis of the performance of supply chain actors in the palm oil agro-industry is primarily in the medium and above average categories. Improving supply chain performance needs to be emphasized at each stage of the planning process with reliability performance attributes and performance indicators in the form of accuracy in predicting the number of requests. Alternative strategies that are prioritized to improve supply chain performance are increasing the competence of human resources and supply chain partnerships.

Risks and resilient strategies in Agro-Industrial supply chains - A Scoping Review 2013-2023

Risks and resilient strategies in Agro-Industrial supply chains - A Scoping Review 2013-2023

A multi-criteria model of supply chain sustainability assessment and improvement for sugarcane agroindustry

The sustainability of the sugarcane agro-industry supply chain plays a crucial role in providing economic benefits, minimizing social and environmental impacts, and optimizing resource utilization. This research aims to analyze the sustainability performance of the sugarcane agro-industry supply chain using multi-criteria assessment and formulate strategies for sustainability improvement. The study proposes a multi-criteria assessment model with twenty-eight indicators and four dimensions of sustainability: economic, social, environmental, and resources, which were developed based on previous research. The fuzzy inference system (FIS) and multi-dimensional scaling (MDS) methods were utilized to analyze the multi-criteria indicators of sustainability performance in each dimension and overall supply chain. The Adaptive Neuro Fuzzy Inference System (ANFIS) model was used to aggregate multi-dimension sustainability to achieve overall sustainability performance. A fuzzy cognitive map (FCM) framework was developed to formulate strategies for improving the sustainability performance of the supply chain. The research was verified at two sugar mill locations in Java Island, Indonesia. The FIS and MDS models successfully analyzed the sustainability performance of the two sugar agro-industries, showing an average value of “quite sustainable”. The overall sustainability performance using the ANFIS model for mill A and B were 57.2 and 61.9, respectively. Series of FGDs combined with the FCM model successfully formulated five clusters of strategies as initiatives in improving the sustainability performance, namely raw material provision, harvesting and post-harvest activities, production process optimization, IT-based technology implementation, and institutional aspects. This present work seeks to contributes to the development of multi-criteria of sustainability performance for the food industry's supply chain. It also proposes a comprehensive framework for analyzing and improving sustainable supply chain performance under uncertainty using a combination of conventional and fuzzy assessment modeling approach. A practical initiative strategy in sustainability improvement is revealed for the sugarcane agroindustry's supply chain.

Sustainable Transportation in The Brazilian Agroindustrial Supply Chain: A Literature Review

Objective: This article aims to discuss the importance of incorporating sustainable transportation practices into the supply chains of the Brazilian agro-industry, highlighting their potential to reduce costs, increase operational efficiency, and enhance companies' reputation in an increasingly sustainability-focused global context. Theoretical framework: Agribusiness plays a vital role in the Brazilian economy, converting agricultural raw materials into higher value-added products and driving economic gains and job creation. However, transportation in this chain has a significant environmental impact, with Brazil heavily reliant on road transport, contributing to carbon emissions. Companies from various sectors are adopting sustainable transportation practices to address these challenges, recognizing the growing importance of sustainability as a business strategy to ensure competitive advantage in the global market. Method: The literature review was conducted in five detailed stages: formulation of the research question, identification and careful selection of relevant studies, analysis and synthesis of data, and description and dissemination of results. Scientific articles, book chapters, and technical reports published between 2015 and 2023 were considered, ensuring a solid and updated basis for analysis. Results and conclusion: The analysis of 102 studies highlighted the relevance of implementing sustainable transportation practices, such as the use of electric vehicles and bioenergy, in reducing greenhouse gas emissions and optimizing logistics costs. Intermodality also emerged as an effective strategy adopted to mitigate environmental impacts and strengthen competitiveness. However, there is a continuous need for future research to understand the nuances of sustainable transportation strategies in different segments and regions of the Brazilian agro-industrial supply chain. Research implications: This study emphasizes the urgency and importance of transitioning to sustainable transportation practices in the Brazilian agro-industry, highlighting the need for government intervention and investment in research to develop approaches tailored to the specific challenges of each sector and region. Additionally, it underscores the importance of public policies that incentivize and promote sustainability in supply chains. Originality/value: It significantly contributes to understanding the complexities of sustainable transportation in the Brazilian agro-industry, providing insights for companies and policymakers interested in promoting sustainability in supply chains. By filling knowledge gaps and presenting innovative perspectives, this study stands out for its original contribution and practical value.

A conceptual framework to increase sustainability in the agro-industry supply chain: a systematic literature review and future research agenda

A conceptual framework to increase sustainability in the agro-industry supply chain: a systematic literature review and future research agenda

An intelligent decision support system modelling for improving agroindustry's supply chain performance: a case study

An intelligent decision support system modelling for improving agroindustry's supply chain performance: a case study

An intelligent decision support system modelling for improving agroindustry's supply chain performance: a case study

An intelligent decision support system modelling for improving agroindustry's supply chain performance: a case study

ANALISIS KINERJA RANTAI PASOK AGROINDUSTRI KOPI ARABIKA DI KABUPATEN ACEH TENGAH PROVINSI ACEH

Aceh Province is a leading national coffee producing province, one of the coffee producing centers in Aceh is Central Aceh Regency with the area planted with coffee plants in 2022 reaching 49,997/ha and coffee production reaching 36,060 tons/year. Coffee has economic value from both the farmer level and the final consumer. What often happens is that the value obtained by farmers is not equal to that obtained by other marketing institutions in the supply chain and coffee value chain, so adding value to coffee requires product development and maximum utilization of resources. by generating profits in all lines of institutions involved. The role of the Arabica coffee agroindustry is very helpful in developing coffee into finished products or processed coffee-based products, so that all systems in the coffee supply chain benefit. Apart from that, the role of the Arabica coffee agroindustry will have an impact on the value chain of Arabica coffee produced in Central Aceh Regency. The research method used is descriptive and quantitative analysis using the AHP Matrix. The results obtained show that the performance of the Arabica coffee agroindustry supply chain in 13 agroindustries in Central Aceh is at a below average level, extra improvement is needed to be able to obtain a good or excellent level.

IMPROVING PERFORMANCE OF THE BANANA AGROINDUSTRY SUPPLY CHAIN USING MCDM (MULTI CRITERIA DECISION MAKING)

The problems faced by the banana agro-industry include the procurement process of raw materials from banana suppliers, which has not been able to meet the industry's needs. The selection process of banana suppliers has not been a factor considered by the industry in its strategic planning. The technology used should be able to produce quality processed banana products, but in reality, production is still below the available normal capacity. The distribution of processed banana products to consumers has not been well identified, and market access is still limited, resulting in stagnant industry development. The aim of this research is to identify the problems related to the performance of the banana agro-industry supply chain, measure the performance of the banana agro-industry supply chain, and provide and evaluate solutions that can be used to improve the performance of the banana agro-industry supply chain. The method used in this research is to measure the performance of the supply chain using weighting with the multiple criteria decision-making (MCDM) method, which consists of the Analytical Hierarchy Process (AHP), determining alternative solutions using the VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) method. The results show that the identification of problems in the banana agro-industry supply chain consists of 5 main criteria and 20 sub-criteria, as well as 7 proposed solutions. The measurement of the supply chain performance resulted in a score of 32.032 (poor), indicating that the performance of the banana agro-industry supply chain is still low. The alternative solution provided to improve the performance of the banana agro-industry supply chain is to establish collaboration and partnerships among supply chain stakeholders.

Manajemen Rantai Pasok Agroindustri Pala di Desa Morella Kecematan Leihitu Kabupaten Maluku Tengah

This study aims to analyze the mechanism of supply chain flow, the value of supply chain performance, and supply chain efficiency in the Morella nutmeg juice MSME group. This research was conducted for 1 month in the nutmeg agro-industry in Morella Village, Leihitu District, Central Maluku Regency. The research method used was purposive sampling to determine the sample based on the characteristics or mechanism characteristics of the nutmeg juice supply chain. This study was analyzed using a descriptive method to describe the mechanism of the nutmeg juice agro-industry supply chain. The results showed that supply chain members of the Nutmeg Juice MSME Group consisted of suppliers, manufacturers, distributors, and consumers. There are two types of supply chain models for the Pala Morella Juice MSME group. The first is between manufacturers and distributors who work together to market nutmeg juice products to consumers. The second supply chain flow is the relationship between manufacturers, which is direct to the consumer, meaning that consumers come directly to the product production site and buy products directly from the company. Information flow occurs in two directions, for financial flows running from consumers-distributors-manufacturing-suppliers. Product flow starts from manufacturer-distributor-consumer. The flow of raw materials occurs only in one direction, namely from the nutmeg farmers in Morella Village.

Sustainability performance assessment of sago industry supply chain using a multi-criteria adaptive fuzzy inference model

Background: Sustainable supply chains are more competitive than conventional supply chains. Supply chain sustainability performance needs to be carried out to determine sustainability under current conditions and to design appropriate strategies to increase sustainability. This study aims to design a sustainability performance assessment model for the sago agro-industry supply chain and identify critical indicators for sustainability improvement. Methods: The Fuzzy Inference System (FIS) evaluates sustainability on three levels: economic, social, and environmental. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is then used to aggregate the overall sustainability performance. The cosine amplitude method (CAM) was used to analyze key indicators. This study assessed the sustainability performance on industrial- and small-medium-scale sago agro-industry. Results: The results show that the supply chain sustainability performance on the industrial scale is 44.25, while it is 48.81 for the small-medium scale with the same status, almost sustainable. Key indicators for improving sago agro-industry supply chain sustainability performance include profit distribution among supply chain actors, institutional support for supply chains, waste utilization (reuse & recycle), and the availability of waste management facilities. The implication of this research for managers regards assessing the current status of sustainability performance and key indicators as a reference for formulating sustainability strategies and practices. Conclusions: The results of the study will enable supply chain actors to understand the key indicators for improving sustainability performance in the sago agro-industry supply chain, especially in Meranti Islands Regency, Riau Province. The proposed model can be applied to other agro-industries by adjusting the indicators used and assessing data availability and suitability for the research object.

Digitalization as driver to achieve circularity in the agroindustry: A SWOT-ANP-ADAM approach

In the last decades, the agroindustry is facing environmental issues due particularly to food loss and waste, requiring a strong orientation towards sustainability and the circular economy (CE) paradigm. This study carries out an investigation of the role of digitalization in serving as a driver to achieve circularity in the agroindustry.A SWOT analysis was performed to assess the strengths and weaknesses (internal factors) and opportunities and threats (external factors) of digitalization in boosting circularity within agroindustry systems and identifying critical factors (CFs). Through the Analytical Network Process (ANP), an evaluation of these CFs was provided, while the Axial-Distance-Based Aggregated Measurement (ADAM) method allowed for the ranking of the strategic alternatives to better inform management decisions.This study provides valuable results that reveal the crucial role of digitalization in boosting circularity within agroindustry, highlighting the most impactful strategies driving the transition towards a circular economy. Linking the high sustainability performance of products to incentives and increasing consumer inclusion and awareness in business dynamics were found to be the most relevant strategies for making agro-industrial supply chains more circular.This study provides recommendations to lead managers' and practitioners' decisions towards the adoption of strategies, aimed at making the agro-industrial sector more adherent to the principles of circular economy and sustainability.

Innovations and trends in the coconut agroindustry supply chain: A technological surveillance and foresight analysis

Coconut (Cocos nucifera) is a raw material that has gained particular relevance for agribusiness in recent years. This has come about largely owing to the paradigm shift regarding its genuine nutritional benefits. It is especially due to innovation that has been incorporated into agro-industrial processing and the development of new products, and the fruits of such labor can be seen in the growing demand by consumers around the world. Integrally making full use of coconut, it turns out, is extremely important for agribusiness. Coconut indeed has become a benchmark, not only from the environmental dimension but also from the social and economic perspectives both of the communities that plant it and the agribusinesses that transform it. This study aims to identify technologies, new uses, trends, and innovations related to the coconut agro-industrial chain, as well as their prioritization, by means of a prospective study, using the Delphi method in two rounds. Two methods applied at the methodological level comprised a technological surveillance study by means of a literature review in a SCOPUS database, PatentsInspiration, complemented with commercial surveillance for the four major topics of plastic wood, coconut oil extraction, high salinity and moisture, and small-scale coconut by-products. Moreover, the Delphi method was used, in two rounds, with 178 topics, technologies, and innovations, classified into seven thematic groups. The Delphi was answered by 32 experts in the two rounds. Vantage Point text mining software was also applied for the analysis of the surveillance results. Within the seven thematic groups, the following 10 priority technologies are highlighted: functional phytochemicals, non-caloric sweeteners, coconut milk preservation technologies, water activity and shelf life, coconut sugar extraction methods, batch and continuous drying technologies, lyophilization, coconut fiber and shredded recycled PET, magnetic particle modification of activated carbon derived from coconut shell and biochar to effectively remove phenol from water, and biodegradable packaging for coconut derivatives. In addition, the following topics were prioritized in the sustainability grouper: sustainable agriculture, bioeconomy, family agriculture, and circular economy.

Supplier performance evaluation factors for agroindustrial supply chain: A systematic review

Supplier performance is critical in maintaining the stability of the supply chain activities in the agroindustry. Their performance needs to be assessed using relevant factors to choose reliable and dependable suppliers. A significant amount of research has been done to examine essential factors in selecting reliable suppliers in supply chains from various perspectives. The divergence of research findings has led to many assessment factors that must be considered when choosing the supplier. Therefore, this study aimed to analyze factors affecting agroindustry supplier performance using a systematic review. The research from reliable databases such as Elsevier, Emerald, Proquest, and Taylor & Francis from 2010 to 2020 has been analyzed. Similarity and relevance analysis has been applied to form the factors and eliminate the redundant and irrelevant factors. As a result, fourteen suppliers’ performance factors to support an effective supply chain system are identified. These factors include customer care, economics, quality improvement, stakeholder coordination, production performance, organizational improvement, human resources, food safety, risk factors, company image, market, geography, corporate social responsibility (CSR), and environmental management system (EMS).

Design of intelligent decision support system for supply chain sustainability assessment

The objective of this research is to develop an intelligent decision support system (IDSS) that can aid decision-makers in enhancing the performance and sustainability of the sugarcane agroindustry's supply chain. A case study focusing on a sugarcane agroindustry supply chain was proposed. The IDSS was developed using the waterfall approach, which follows the system development life cycle (SDLC) and employed an object-oriented programming technique. The outcome of this study is a prototype of the IDSS, consisting of a database, model base, and knowledge-based management system configuration. To evaluate the sustainability of the supply chain, a fuzzy inference system and an adaptive fuzzy inference system algorithm were utilized. Through verification and validation, it was determined that the IDSS prototype has the potential to be implemented in real-world scenarios, as long as certain assumptions related to the model are taken into consideration.

Application of the failure mode and effects analysis tool in small-scale agroindustrial supply chains

The functioning of Agroindustrial Supply Chains is affected by the different internal and external contexts in which they develop. The objective of this work is to apply the Failure Mode and Effects Analysis method in an agroindustrial production chain in the Northwest of Argentina and identify the potential failures that may appear throughout its operation. Through a descriptive research and a previous background analysis, the instrument was applied in the different links of the production chain and a series of corrective measures were designed. The results obtained demonstrate the need to formulate a comprehensive Management Model for agroindustrial supply networks, which will improve their performance and contribute to the decision making process. The tool used can be adapted and replicated in agroindustrial production chains with similar characteristics.