|Arief Suwandi||Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia|
|Teuku Yuri Zagloel||Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia|
|Akhmad Hidayatno||Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia|
of risk control failure
causes many consumer complaints because many defective products are found with
purchase orders for iron pipes. Storage management is very important for
companies in maintaining quality and delivery accuracy for customer
this stage, there is a definite risk of failure from finished product control,
such as material handling errors and product damage due to storage. The purpose
of this research is to develop a failure risk control model in the finished
goods inventory system. Iron Pipe defects are caused by poor material handling
and product storage in the company. Exogenous variables from this simulation are
the reliability of product handling, percentage of successful rework, and
percentage of deteriorated product. The simulation results show that the
optimistic scenario has the smallest defect of 0% and is followed by a most
likely scenario of 1% and a pessimistic scenario of 4%. The resulting model can
minimize the risk of failure of iron pipe products in finished goods
warehouses, and the model can be applied in more complex real-world cases.
Deteriorated percentage of success rework; Optimistic scenario; Product handling; Warehouse
The rapid development of science and technology requires every company to have good product quality to compete with their business competition. A quality product is something that can meet consumer expectations. Companies that produce iron pipes use steel plate raw materials which are generally used for construction, such as Pipes, Casing and Tubing, Subsea Pipes, Steel Water Pipes, Steel Pipes for Piles, and Steel Pipes for general structures. The risk control failure condition resulted in many complaints from consumers because defective products were often found in pipe purchase orders. This is a serious problem for the management of the pipeline company, and they need to immediately take corrective action to overcome the problem of defective products being manufactured (Suwandi et al., 2020).
The risk of failure to store finished products determines how the company proceeds in maintaining product quality and company sustainability. If the defect to a product is high, the company will experience losses and a lack of customer trust, resulting in serious disruption to the company (Suwartha et al., 2015). The risk of failure needs to be identified and then a model developed to reduce the failure to store the finished product (Kilibarda, 2013). Factors causing failure in storage include oxidation, aging, mildew, sealing failure and other slow chemical or physical processes (Liu and Liu, 2018).
The selection of the most suitable selective inspection, partial flow control, and defect correction policy is based on an analysis of the impact of actions on the overall system and the quality performance of the entire process chain, so that quality and productivity can be maintained at the system level (Grösser, Reyes-Lecuona, & Granholm, 2017).
This study aims to design a model to control the risk of failure of iron pipe products in the finished product warehouse by using a dynamic system that can help reduce the number of damaged products produced by the company.
study focuses on the manufacture of metal pipes, where product damage occurs
due to poor storage and material mishandling.
The dynamic system model developed describes the risk conditions of the failure of the production process. The model designed validated the actual results, which did not differ significantly from the simulation results. The risk of failure in the warehouse of finished products is based on the field and historical data, which are used to make the following models: the optimistic model, which is obtained from the minimum defect; the most likely model, which is obtained from the average defect; and the pessimistic model, which is obtained from the maximum defect. Each process in the warehouse is based on monthly historical data and then represented as a quantified dynamic system.
Several policy scenarios related to the risk of failure of the production process are tested to obtain a percentage of product defects each month. Exogenous variables from this simulation are the reliability of the product handling, the percentage of successful rework, and the percentage of products that deteriorate.
The simulation results show that the optimistic scenario has the smallest product defects of 0%, and that the most likely condition is 1%, while the pessimistic one is 4%. The optimistic situation has a difference of 115 tons from the actual condition, so the company can make savings of IDR 1,995,000,000 per month.
The largest benefit comes from an optimistic scenario
with IDR 226,480,000,000/month; the most likely scenarios give a benefit of IDR
224,632,000,000/month; and, finally, the pessimistic scenario gives one of IDR
|R1-IE-4068-20200819220955.docx||Figure & Table|
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