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An Integrated Production and Distribution Planning Model in Shrimp Agroindustry Supply Chain
Lely Herlina,Machfud,Elisa Anggraeni,Sukardi 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.1
This study discusses the integration model of production and distribution planning in the shrimp agroindustry supply chain, consisting of four echelons: shrimp suppliers, shrimp agroindustry, logistics provider companies, and buyers. The shrimp agroindustry supply chain is an essential part of the supply chain of processed product food, which transforms raw shrimp into various processed shrimp frozen products. One form of collaboration between supply chain actors is the integration of production and distribution planning activities. A model is developed to determine the flow of goods from each echelon, the number of processed shrimp products in the agroindustry, and the supplies of processed shrimp products. The bi-objective mixed-integer linear programming is proposed to describe the characteristics of the problem to minimize the total supply chain costs and maximize service level. Non-dominated sorting genetic algorithm II (NSGA-II) is designed to solve the shrimp agroindustry supply chain problem. The sample problem from the shrimp agroindustry in East Java, Indonesia, is applied to exhibit an algorithm’s efficiency. The result shows the best solution for the total supply chain is 1.75 trillion, and the service level is 1,502,264.5.
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Risk Management for Improving Supply Chain Performance of Sugarcane Agroindustry
Muhammad Asrol,Marimin,Machfud,Mohamad Yani,Eizo Taira 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.1
The purposes of this paper are to evaluate sugarcane supply chain performance, identify supply chain risks, and define mitigation to improve the performance. Supply chains were modeled through a Supply Chain Operation Reference (SCOR) and Fuzzy-Analytic Hierarchy Process (AHP) to evaluate the performance. This paper modeled fuzzy-House of Risk (HOR) to identify and assess supply chain risk. Expert judgment for supply chain risk assessment was aggregated using an Ordered Weighted Average (OWA) model. The supply chain performance of farmers was found to be average, while that of sugar mill was at below average. Our model succeeded in identifying and assessing 15 risk agents for farmer, seven risk agents for sugar mills, and four risk agents for distributors which had to be mitigated. This work offers meaningful guidance for decision-makers to compose strategies to mitigate risk and enhance performance of sugarcane agroindustry supply chains.
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