PEMODELAN INTEGER PREEMPTIVE GOAL PROGRAMMING DALAM MENGOPTIMALKAN PERENCANAAN PRODUKSI DI UKM RENGGINANG KALIMANTAN BARAT

Ikka Rahmawati, M. Kiftiah., Meliana Pasaribu
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Abstract

Small and Medium Enterprises (SMEs) Rengginang is a factory enganged of production and sale of rengginang. In the production process, Rengginang SMEs do not yet have an appropriate production plan in accordance with the availability of raw materials and the number of requests. The rengginang production process related to the availability of raw materials and the amount of custumer demand, but in the production process rengginang SMEs do not yet have a plan proper production so that the resulting profit and production costs have not optimal. The integer preemptive goal programming model is an optimization model whose decision variable values are integers. This model can optimize more than one objective and has priority in optimizing it. The purpose of this research is to find the optimal solution of 4 priority that has been determined by modeling integer preemptive goal programming which is solved by the modified simplex method. In the modified simplex table, there is a change in the non-basic variable which will become the input variable, starting with the decision variable, followed by the negative deviation variable and the positive deviation variable. Based on the calculation, the result optimal number of requests for rengginang is 1.307 packs for black sticky rice rengginang, 1.361 packs for onion rengginang, 1.264 packs for salty rengginang and 1.280 packs for spicy rengginang. In the production process the rengginang obtained the minimalfees must be issued Rp 42.437.300 with a maximum profit of Rp 59.619.250. However, to achieve the optimal solution, an additional 1,4 kg of black sticky rice is required so that the total raw material provided as much as 261,4 kg and the excess raw materials white sticky rice is 3,05 kg meaning that the raw materials for white sticky rice is reduced by 3,05 kg to 1106,95 kg.
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在优化西加里曼丹 Rengginang 小型企业生产计划的过程中建立整数抢先目标编程模型。
中小型企业 Rengginang 是一家从事凉姜生产和销售的工厂。在生产过程中,Rengginang 的中小企业尚未根据原材料的供应情况和需求数量制定适当的生产计划。人参果的生产过程与原材料的供应量和客户的需求量有关,但在生产过程中人参果中小企业还没有一个合适的生产计划,从而导致利润和生产成本都没有达到最优。整数抢先目标编程模型是一种决策变量值为整数的优化模型。该模型可以优化多个目标,并且在优化目标时具有优先权。本研究的目的是找到 4 个优先级的最优解,这 4 个优先级是通过整数抢先目标规划模型确定的,并通过修正的单纯形法求解。在修正单纯形法表中,非基本变量会发生变化,成为输入变量,首先是决策变量,其次是负偏差变量和正偏差变量。根据计算结果,黑糯米凉粉的最佳要求数量为 1.307 包,洋葱凉粉的最佳要求数量为 1.361 包,咸味凉粉的最佳要求数量为 1.264 包,辣味凉粉的最佳要求数量为 1.280 包。在生产过程中,获得最低费用的红糖必须发行 42 437 300 印尼盾,最大利润为 59 619 250 印尼盾。然而,为了达到最佳解决方案,需要额外增加 1.4 公斤黑糯米,这样所提供的原材料总量就达到 261.4 公斤,而多余的白糯米原材料为 3.05 公斤,这意味着白糯米的原材料减少了 3.05 公斤,为 1106.95 公斤。
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