Abstract

Manufacturing technology becomes more complex as customer demand increases. Most manufacturing companies consist of multi-state manufacturing networks. Therefore, the reliability and availability parameters become an important issue to satisfy customer demand. Unavailability can result in reducing throughput because of decreasing operational production time. To resolve this problem, the buffer inventory can minimize the occurrence of material starving and production blocking during the equipment downtime. This paper will focus on experimenting with buffer inventory levels and the capacity of a multi-state manufacturing network to increase the production throughput on a company that has 70,000 tons per year of capacity. However, due to the unavailability problem, the existing system capacity decreases to 62,175 tons per year. The simulation model is used to improve throughput by modeling the failure interruption and the buffer inventory logics during the production process.

Highlights

  • Indonesia is in the stage of advancing and developing industries for the realization of national industries as the drivers of the national economy

  • This statement was written in the 2015-2035 National Industrial Development Master Plan (RIPIN 2015)

  • There are ten industry groups prioritized based on RIPIN (Indonesian Ministry of Industry [1])

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Summary

Introduction

Indonesia is in the stage of advancing and developing industries for the realization of national industries as the drivers of the national economy. Patterns (c) and (e) indicate that the level of buffer inventory increases and decreases but irregular, this shows different production speeds at Salsabila et al / Throughput Analysis on a Multi-stage Manufacturing System / JTI, Vol 21, No 2, December 2019, pp. A simulation approach was carried out by Chang, et al [7] to generate random capacity status to calculate the use of buffer inventory on a multi-state manufacturing network (MSMN) system. We will provide all failure combinations in the production process. (3) A real-case study will be used to evaluate our model through computational analysis

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