INNOVATION AND TRANSFORMATION OF PRODUCTION COST CONTROL IN IMPROVING THE QUALITY OF AGRICULTURE RESOURCES AS AN ACCELERATION SOLUTION TO SUPPORT BUSINESS SECTOR AGRICULTURE DURING THE COVID 19 PERIOD IN INDONESIA

ABSTRACT This research analyses development of innovation agroecology and innovation socio economy business conditions in Indonesia. The agriculture needs agriculture controlling report of cost production and tools and machinery support and solution with certain characteristics. The transformation business practically development of innovation business industry of agriculture materials is one of the efforts to improve competence and skill. The purpose of this study is to find out solutions practice in agriculture mechanicsm in business sector industry,administration agriculture aspects and management business agriculture area in controlling of cost production. This research has an impact on post pandemic Covid 19 in Indonesia. The limitation of this research is the increasing innovation and transformation agriculture mechanicsm and solution in accelerated and supporting busness industry of agriculture sector in Pandemic Covid 19 in Indonesia.The Contribution of This research are that business industry of agriculture are able to maintain skill and knowledge of controlling cost production and innovation and transformation technology of agricultur business sector. Keywords: Inovation,Transformation,Controlling,Business Industry,Agriculture,CostProduction.

Integrated Control Policy for a Multiple Machines and Multiple Product Types Manufacturing System Production Process with Uncertain Fault

The optimization of production cost has always been a key issue in manufacturing systems; for the single product type manufacturing systems, lots of research studies have proved the validity of the hedging point control policy in production cost control. However, due to the complexity of the multiple machines and multiple product types manufacturing systems with uncertain fault, it is difficult to achieve a good control effect only by using the hedging point control policy. To optimize the total production cost under constantly changing demands, an integrated control policy that combines the prioritized hedging point (PHP) control policy with the production capacity planning during production is proposed, and the decision variables are obtained by a particle swarm optimization (PSO) algorithm. The simulation experiments show the effectiveness of the proposed integrated control policy in production cost control for the multiple machines and multiple product types manufacturing system.

ANALISIS PENGENDALIAN BIAYA PRODUKSI UNTUK MENILAI EFISIENSI DAN EFEKTIVITAS BIAYA PRODUKSI

Company management is a series of actions undertaken by members of the organization in an effort to achieve organizational goals. Management has an important role in controlling production costs where the efficiency and effectiveness of production cost control is valued by cost centers ability to achieve expected production volume. The purpose of this research is to know how to control the production cost, to evaluate the efficiency of production cost at Pak Untung tofu factory at Teling Atas, Manado. The method used is qualitative descriptive. The result of this research shows that pak Untung tofu business has not done a good production cost control due to lack of cost planning that does not set the standard cost so that in a few months raw material purchase has increased the purchase price of raw materials.Keywords : Control of production costs, efficiency, and effectiviness

ANALISIS PENGENDALIAN BIAYA PRODUKSI (STUDI KASUS PADA PT. TROPICA COCOPRIMA)

The movement of the improvement is valued from the capacity of the enterteinment wich can endure in the verry stiff business competition, that is why it needs a good management cost by managing the cost. PT. Tropica Cocoprima is a manufacturing firm producing coconut flour as the final product of the production process that can endure in competition. In the production process activity, the production cost is a factor most influencing in every aspects, and that is why the production cost control measuring standard as the cock of the performance progress of the firm managerial. The goal of this research is to an analyze the efficiency of the controlling production cost at PT. Tropica Cocoprima. By using analysis variance we can get that the cost control is sufficient because it can be categorized over all favorable. Raw material in November 2012 significantly can be found that the realization of the cost wa Rp. 901/kg, and according to analysis variance was Rp. 30.950.716, at the average of 27,9% and it can be kategorizied as favorable.

Comparison of Dimensional Accuracy for Different Investment Casting Shells and Binders Based on Selective Laser Sintering

The dimensional accuracy of shells and binders of investment casting which incorporation with selective laser sintering is investigated. The results show that the dimensional accuracy of colloidal silica is higher than that of ethyl silicate, and the dimensional variation rate of investment casting shells produced with colloidal silica is much lower than ethyl silicate shells. Moreover, colloidal silica possesses better performance on environmental protection and production cost control. These indicate that the comprehensive properties of colloidal silica are better than that of ethyl silicate. Meanwhile, the average dimensional variation rate of the single colloidal silica shell and the ethyl silicate-colloidal silica alteration shell was almost identical and it was much lower than that of the other shells which were produced in this study. This means two kinds of shells are optimized in all five types of shells studied in the aspect of dimensional accuracy. The unique properties of two shells show clearly direction to choose the type of shell.

Optimal Production Control in Stochastic Manufacturing Systems with Degenerate Demand

The paper studies the production inventory problem of minimizing the expected discounted present value of production cost control in manufacturing systems with degenerate stochastic demand. We have developed the optimal inventory production control problem by deriving the dynamics of the inventory-demand ratio that evolves according to a stochastic neoclassical differential equation through Ito's Lemma. We have also established the Riccati based solution of the reduced (one- dimensional) HJB equation corresponding to production inventory control problem through the technique of dynamic programming principle. Finally, the optimal control is shown to exist from the optimality conditions in the HJB equation.

Some Results on Bellman Equations of Optimal Production Control in a Stochastic Manufacturing System

The paper studies the production inventory problem of minimizing the expected discounted present value of production cost control in a manufacturing system with degenerate stochastic demand. We establish the existence of a unique solution of the Hamilton-Jacobi-Bellman (HJB) equations associated with this problem. The optimal control is given by a solution to the corresponding HJB equation.

Computer-Aided Manufacturing in Small Shipyards: A U.S. and U.K. Comparative Study

Shipbuilders throughout the world are continuing to move toward computer-integrated manufacturing (CIM) systems as a means of improving productivity, quality and competitiveness. Implementation of such systems provides unique challenges to all shipbuilders. One of the critical issues involves the choice of new versus existing computer systems (hardware and software), the pace of change, and the timing of implementation of new parts or totally new systems. These challenges and potential solutions are not only different for each shipyard, but are also significantly different for large and small shipyards. Surveys of current uses and needs of small shipyards in the United States and the United Kingdom were conducted to evaluate current systems and to make recommendations for potentially successful approaches to future implementation. The focus was on three major areas: design (design, drafting, engineering, and lofting); production management (planning, estimating, material control, scheduling, purchasing, production/cost control, and quality control); and administration (payroll, time charging, and billing). Based on this work, recommendations concerning systems for implementation and a framework for integration are presented.