Development of Drum-Buffer-Rope Algorithm to Control Capacity Constrained Machine in a Bioproduction System Adi D. Guritno*. Endy Suwondo*. Henry Yuliando* Mirwan Ushada*. Haruhiko Murase**  *Universitas Gadjah Mada, Faculty of Agricultural Technology, Department of Agroindustrial Technology Jl. Flora No.1, Bulaksumur ZIP 55281 Indonesia (Tel/Fax: +62-274-551219; e-mail: konsultasiom@yahoo.com ; endys@ugm.ac.id; henry_yuliando@yahoo.com; mirwan@tip-ugm.org;). ** Osaka Prefecture University, Graduate School of Engineering, Department of Mechanical Engineering 1-1 Gakuen-cho, Naka-ku, Sakai-shi, Osaka ZIP 599-8531, Japan (e-mail: hmurase@me.osakafu-u.ac.jp)} Abstract: In Indonesia, Bioproduction system has much similarity with the Micro-Small-Medium Agro- industry (MSMA). The some special characteristics of MSMA are the use of conventional semi-manual machine, the importance of skill labor in operations, and less intensive of capital utilization. . Recognizing Capacity Constrained Machine (CCM) is essential for balancing the process and material capacity. The CCM can be described as a machine capacity is close or equal with incoming material so that the fluctuation of incoming material flow possible to shift the CCM into a bottleneck condition of process. The objective of this research is to identify CCM and bottleneck in a MSMA process, and developing its control mechanism. The object study of this research is in half-fermented `Tempe` industry. Single queue model with single-server and single queue model with multiple-server were used to identify CCM and bottleneck. The research result shows the workstation of soaking I process could be identified as the CCM and Soaking II could be identified as the bottleneck based on the average waiting time of each station. Drum-buffer-rope algorithm was proposed to control CCM and bottleneck condition. The arrival rate of each station in the bioproduction system was improved in term of balance process using the lowest service rate. Keywords: Bottleneck, Capacity Constrained Machine, Single-queue-single-server, Single-queue- multiple server, `Tempe` industry, Workstation.  1. INTRODUCTION Bio-production system can be defined as sustainable and environmentally friendly production technologies in which biological/agricultural materials are the raw materials and where the product is feed, food, handicraft, biomaterial, ingredients or bioenergy. One possible strategy to improve the welfare of the agricultural sectors and attain overall economic growth is through the development of agro- industry as a rural-based industry with business characteristics, and is primarily engaged in the processing of agricultural products. In Japan, Bioproduction system is identical with the development of plant factory. It involves technologies such as process control for the plant growth environment, mechanization for material handling, system control for production and computer applications. The advantages of a plant factory include production stabilization, higher production efficiency, and better quality management of products through a shortened growing period, better conditions, lower labor requirements, and easier application of industrial concepts (Murase and Ushada, 2006). In Indonesia, Bioproduction system is identical with the Micro-Small-Medium Agro-industry (MSMA). MSMA is the fundamental industry category that contributes to Indonesian economy that involves bioproduction system. UNIDO (2009) suggested that in a an economic environment characterized by intense competition and increasingly rapid preference changes, the production capacities is made in order to: 1) To assess the production system and tools; (2) Evaluate technical performance; and (3) Determine the principal technical actions that need to be carried out to upgrade individual enterprises and enhance their competitiveness. The special characteristic of MSMA is the utilization of conventional semi-manual machine as shown in Fig.1. Fig.1 A example of Boiler Machine in MSMA Indonesia