Abstract:Profit allocation is the main critical problem in the supply chain. In agro-industry supply chain, establishing a fair and reasonable profit allocation has been more challenging due to the influence of uncertain factors. Cooperative game theory with the Shapley value has an opportunity to solve this problem given its appropriateness for the key goals of the supply chain. Fuzzy Shapley value was developed to accommodate uncertain stakeholders' payoff. In addition, uncertain risk and value added were considered … Show more
Supply chain sustainability assessment is key to maintaining and improving the performance of agroindustry supply chain, particularly in agroindustry sustainable development. Assessment of the agroindustry supply chain performance is a complex and dynamic process. Hence, there is a need for an adaptive fuzzy multi-criteria sustainability assessment model as an alternative method for analysis and improvement. This study aims to design an adaptive fuzzy multi-criteria sustainability assessment and improvement model of the sugarcane agroindustry supply chain. In this study, (1) fuzzy inference system (FIS) was developed to assess the performance of sustainability dimensions. This study proposed 24 indicators of 4 dimensions, namely, economic, social, environment, and resource. (2) Adaptive neuro fuzzy inference system (ANFIS) was designed for aggregating the overall supply chain sustainability performance. (3) The proposed fuzzy multi-criteria assessment model was compared with the common multidimensional scaling (MDS) and linear models. This study proved that the proposed synthesis of the FIS and ANFIS models was powerful and adaptive for evaluating supply chain sustainability and providing accurate results. (4) The strategy to improve sustainability performance was developed using the cosine amplitude method (CAM). The proposed model determined that the overall supply chain sustainability value was 68.58%, which is almost sustainable. Several strategies have been suggested to improve sustainability performance, including maintaining sugarcane supply by strengthening the partnership program and improving the mill's overall recovery, followed by factory revitalization or new factory investment.
Supply chain sustainability assessment is key to maintaining and improving the performance of agroindustry supply chain, particularly in agroindustry sustainable development. Assessment of the agroindustry supply chain performance is a complex and dynamic process. Hence, there is a need for an adaptive fuzzy multi-criteria sustainability assessment model as an alternative method for analysis and improvement. This study aims to design an adaptive fuzzy multi-criteria sustainability assessment and improvement model of the sugarcane agroindustry supply chain. In this study, (1) fuzzy inference system (FIS) was developed to assess the performance of sustainability dimensions. This study proposed 24 indicators of 4 dimensions, namely, economic, social, environment, and resource. (2) Adaptive neuro fuzzy inference system (ANFIS) was designed for aggregating the overall supply chain sustainability performance. (3) The proposed fuzzy multi-criteria assessment model was compared with the common multidimensional scaling (MDS) and linear models. This study proved that the proposed synthesis of the FIS and ANFIS models was powerful and adaptive for evaluating supply chain sustainability and providing accurate results. (4) The strategy to improve sustainability performance was developed using the cosine amplitude method (CAM). The proposed model determined that the overall supply chain sustainability value was 68.58%, which is almost sustainable. Several strategies have been suggested to improve sustainability performance, including maintaining sugarcane supply by strengthening the partnership program and improving the mill's overall recovery, followed by factory revitalization or new factory investment.
“…In other research, Ref. [23] design a fair profit allocation as a strategy to improve supply chain's competitive advantages. Related to supply chain risk, research that proposed risk mitigation to improve the performance including [24], [25].…”
“…Determining the supply chain configuration is the main stage in supply chain analysis [23]. The supply chain configuration organized by stakeholders, information, and raw material flow in the supply chain.…”
Section: Ev Battery Factory Supply Chain Network Formulationmentioning
The need for electric vehicle (EV) in the world is currently showing an increase, including Indonesia. Indonesia's Lithium reserves of around 4.5 billion tons and is the largest in the world, about 32.7%. This study aims to formulate a strategy for the EV battery supply chain in Indonesia to support the industry. Data was collected through questionnaires from experts using AHP-CPI. Center of Gravity was applied to determine the specific location and the supply chain strategy was formulated with SWOT. The research resulted in the best alternative location for an EV battery factory in the IMIP-Morowali industrial area, Central Sulawesi with score 486.55. Two grand strategies were suggested for EV supply chain industry, conducting research and improving human resources through training and technology transfer from investors by providing incentives.
“…Gambier has a high added value as a raw material for the fabric and clothing industry. Added value is the added value of a commodity because it undergoes processing, storage, and transportation in the production process [36] [37] [38]. Value-added is the total additional cost due to the addition of a chain of economic activities or stages of production.…”
Section: Vertical Integration In Gambier Agroindustrymentioning
Textile dyeing on fabrics and clothing causes environmental pollution and health problems. There is an innovation of natural coloring using gambier in the Gambo Muba fabric industry and the garment industry in Indonesia. Gambier farmers supply natural dye raw materials. Then through the supply chain of the Gambo Muba fabric industry and the garment industry, it causes vertical integration in the gambier agro-industry. This study uses primary data from 39 vertically integrated companies in the gambier agro-industry, including the gambier rubber industry, the Gambo Muba fabric industry, and the garment industry. The data was then analyzed using descriptive qualitative. This study analyzes the relationship between vertically integrated industries, including the transaction costs between them, their impact of vertical integration on added value, and their profitability. Vertically integrated industries have low transaction costs. The impact of vertical integration on the gambier agro-industry adds to the chain of economic activities that can increase added value and profits. The impact of vertical integration can reduce transaction costs, especially the supplier coordination cost component, distributor cost component, inter-company lobbying costs components. The benefits of vertical integration in the gambier agro-industry are increasing high added value, profit levels, decreasing environmental pollution, and agro-industry sustainability.
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