文章基本信息

标题：MIXED INTEGER LINEAR PROGRAMMING MODEL FOR INTEGRATED FISH SUPPLY CHAIN PLANNING
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作者：NURDIN ; M ZARLIS ; TULUS 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：12
页码：2017-2028
出版社：Journal of Theoretical and Applied
摘要：The Province of Aceh has many types of fish resources that become superior commodities, because most of Aceh's territory is located on the coastline which is the waters of an exclusive economic zone. There are several regencies and cities in Aceh province that are far from the coastline, thus experiencing a shortage of fish supply, therefore planning and management of fish supply chains is needed to anticipate uncertainty in fish supply for areas far from the coast. In the production planning strategy scenario, the mathematical programming model plays a very important role in balancing supply chain planning in decision making, so this research was conducted with an optimization approach using the Mixed Integer Linear Programming (MILP) method. The stages carried out in this study began data collection and literature review, determining parameters and decision variables, formulating the objective functions and constraints of the model, designing the model, implementing the model, testing and simulating the model. Model testing and simulations are carried out using the lindo program. The purpose of this research is to make a Mixed Integer Linear Programming optimization model for integrated fish supply chain planning, this model can help to solve the problem of fish supply shortages in certain areas, so that consumer demand for fish resources can be done quickly. The model of this research can also minimize the operational costs of the fish supply chain from suppliers to consumers. The results of this study are also expected to help decision makers and stakeholders related to the planning and management of fish resources in the province of Aceh.
关键词：Supply Chain;Optimization;Planning;Integrated;Fish