Stochastic Optimization in the Power Management of Bottled Water Production Planning

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Abstract

This paper review a model developed to minimize production costs on bottled water production planning through stochastic optimization. As we know, that planning a management means to achieve the goal that have been applied, since each management level in the organization need a planning activities. The built models is a two-stage stochastic models that aims to minimize the cost on production of bottled water by observing that during the production process, neither interfernce nor vice versa occurs. The models were develop to minimaze production cost, assuming the availability of packing raw materials used considered to meet for each kind of bottles. The minimum cost for each kind production of bottled water are expressed in the expectation of each production with a scenario probability. The probability of uncertainly is a representation of the number of productions and the timing of power supply interruption. This is to ensure that the number of interruption that occur does not exceed the limit of the contract agreement that has been made by the company with power suppliers.

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Antoro, B., Nababan, E., & Mawengkang, H. (2018). Stochastic Optimization in the Power Management of Bottled Water Production Planning. In IOP Conference Series: Materials Science and Engineering (Vol. 300). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/300/1/012006

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