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

Processes ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 952
Author(s):  
Jia You ◽  
Ming Li ◽  
Kai Guo ◽  
Hao Li
Keyword(s):  
Production Cost ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Cost Control ◽  
Integrated Control ◽  
Control Policy ◽  
Point Control ◽  
Multiple Product ◽  
Production Cost Control ◽  
Multiple Machines

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.

Hedging-point control policy for a failure-prone manufacturing system

2015 ◽  
Vol 231 (8) ◽  
pp. 1479-1487 ◽  
Author(s):  
Hong-Sen Yan ◽  
Tian-Hua Jiang ◽  
Xian-Gang Meng ◽  
Wen-Wu Shi
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Production Control ◽  
Learning Algorithm ◽  
Computation Time ◽  
Control Policy ◽  
Simulation Method ◽  
Iterative Learning ◽  
Point Control ◽  
Better Than

The production control of failure-prone manufacturing systems is notoriously difficult because such systems are uncertain and non-linear. Since the introduction of hedging-point policies, many researches have been done in this field. However, there are few literatures that consider the production control problem of tree-structured manufacturing systems. In this article, a hedging-point production control policy is proposed for a multi-machine, tree-structured failure-prone manufacturing system. To obtain the optimal hedging points, an iterative learning algorithm is developed by considering the system’s characteristics. A simulation method is embedded in the iterative learning algorithm to calculate the system cost. To estimate the performance of the proposed algorithm, comparisons are made between our algorithm, genetic algorithm and particle swarm optimization algorithm. The experimental results show that our algorithm works better than others in reducing the computation time and minimizing the production cost.

scholarly journals 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

2021 ◽  
Vol 1 (4) ◽  
pp. 361-372
Author(s):  
IGP Ratih Andaningsih
Keyword(s):  
Production Cost ◽  
Cost Control ◽  
Business Sector ◽  
Agriculture Sector ◽  
Business Conditions ◽  
Production Cost Control

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.

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

2009 ◽  
Vol 2009 ◽  
pp. 1-23
Author(s):  
Azizul Baten ◽  
Anton Abdulbasah Kamil
Keyword(s):  
Production Cost ◽  
Manufacturing System ◽  
Production Control ◽  
Inventory Problem ◽  
Present Value ◽  
Hjb Equations ◽  
Bellman Equations ◽  
Production Inventory ◽  
Production Cost Control ◽  
Hamilton Jacobi Bellman

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.

scholarly journals ANALISIS PENGENDALIAN BIAYA PRODUKSI UNTUK MENILAI EFISIENSI DAN EFEKTIVITAS BIAYA PRODUKSI

2018 ◽  
Vol 13 (04) ◽  
Author(s):  
Novela Irene Karly Massie ◽  
David P. E. Saerang ◽  
Victorina Z. Tirayoh
Keyword(s):  
Production Cost ◽  
Cost Control ◽  
Production Costs ◽  
Raw Material ◽  
Production Volume ◽  
Organizational Goals ◽  
Standard Cost ◽  
Efficiency And Effectiveness ◽  
Cost Planning ◽  
Production Cost Control

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

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