Optimal production cost of the power producers with linear ramp model using FDR PSO algorithm

2008 ◽  
pp. n/a-n/a ◽  
Author(s):  
M. Anitha ◽  
S. Subramanian ◽  
R. Gnanadass
Keyword(s):  
Production Cost ◽  
Pso Algorithm ◽  
Optimal Production ◽  
Linear Ramp

scholarly journals Aplikasi Metode Simpleks Pada Optimalisasi Biaya Bahan Baku (Studi Kasus: Ukm Najmah Klappertart)

2020 ◽  
Vol 17 (2) ◽  
pp. 129-140
Author(s):  
D Damayanti ◽  
A I Jaya ◽  
Resnawati
Keyword(s):  
Simplex Method ◽  
Production Cost ◽  
Production Costs ◽  
Optimal Production ◽  
Total Cost ◽  
Optimal Cost ◽  
Cost Of Production ◽  
The Cost

ABSTRACT The purpose of this research is to obtain an the optimal production costs of Klappertart based on the basic ingredients comparing the production cost of Klappertart in Najmah Klappertart with production costs using the simplex method. The result showed that the optimal costs is ,-. This result is equal to the total cost of klappertart by SMEs Najmah Klappertart, so it can be concluded that the cost of production klappertart based on the basic ingredients on SMEs Najmah Klappertart were optimal. Keywords      : Optimal Cost, Basic Ingredients, Production Costs. (A-Z), Simplex Method  

scholarly journals Two-Period Inventory Control with Manufacturing and Remanufacturing under Return Compensation Policy

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaochen Sun ◽  
Mengmeng Wu ◽  
Fei Hu
Keyword(s):  
Production Cost ◽  
Raw Material ◽  
Planning Problem ◽  
Compensation Policy ◽  
Optimal Production ◽  
Inventory Replenishment ◽  
Numerical Studies ◽  
Production Policy ◽  
Production Planning Problem ◽  
Primary Problem

As an effective way of decreasing production cost, remanufacturing has attracted more and more attention from firms. However, it also brings many difficulties to firms, especial when firms remanufacture products which they produce. A primary problem for the case is how to acquire the used product sold by the firm itself. In this paper, we consider a return compensation policy for acquiring used product from customers. Under this policy, the return quantity of used product is a proportion of demand. We study an inventory replenishment and production planning problem for a two-period inventory system with dependent return and demand. We formulate the problem into a three-stage stochastic programming problem, where the firm needs to make decisions on the replenishment quantity of new raw material inventory in each period and the production quantities of manufacturing and remanufacturing ways. We give the optimal production policy of manufacturing and remanufacturing ways for the realized demand and prove the objective function for each stage to be concave in the inventory replenishment quantity. Moreover, we prove that the basic inventory policy is still optimal for each period and give the analytical conditions of the optimal inventory levels which are unrelated to acquisition price. Finally, we investigate numerical studies to analyze managerial insights.

scholarly journals Optimization of saving production cost in plastic jute sacks with dynamic programming

2018 ◽  
Vol 197 ◽  
pp. 14008
Author(s):  
Rahmi M Sari ◽  
Mangara M Tambunan ◽  
Khalida Syahputri ◽  
Anizar Anizar ◽  
Ikhsan Siregar ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Production Cost ◽  
Cost Savings ◽  
Production Method ◽  
Optimal Number ◽  
Production Costs ◽  
Market Demand ◽  
Optimal Production ◽  
Jute Sack ◽  
Total Capacity

The plastic jute sack is one of the most popular rice packaging products in the market. One type of plastic jute sack used is LDPE type. The LDPE sacks used for rice packaging often-experiencing fluctuations in market demand. Fluctuating demand is a certain problem for companies in determining the number of production to meet the demand. It can be seen from the frequent over production companies and stock out at each period. Overproduction problem has an impact to increase production costs. Stock resulted in lost sales experienced adversely affected the company, especially from production cost. Based on the problems, the company must immediately performs an optimal production planning to handle various problems in the company. One method for saving the optimal cost production can be used is dynamic programming. This method aims to obtain the optimal number of production accordance to market demand. This research is done to reduce cost by optimizing number of production. Method that used to solve the problem is dynamic programming. By using this method, the company will obtain optimum production number with minimum production cost and considering total capacity available of the company. From the dynamic programming results obtained optimal production number with cost savings about 2.1%.

Cost Optimization Problem of Hybrid Flow-Shop Based on PSO Algorithm

2012 ◽  
Vol 532-533 ◽  
pp. 1616-1620 ◽  
Author(s):  
Zhong Hua Han ◽  
Xiao Fu Ma ◽  
Li Li Yao ◽  
Hai Bo Shi
Keyword(s):  
Production Cost ◽  
Job Scheduling ◽  
Flow Shop ◽  
Cost Optimization ◽  
Task Assignment ◽  
Pso Algorithm ◽  
Hybrid Flow Shop ◽  
Total Production ◽  
Process Route ◽  
Processing Cost

A PSO-algorithm-based job scheduling method that takes production cost as optimization object is presented in this paper. The cost optimization model of HFSP, in which production cost is considered as an optimal factor, is constructed. PSO is used to take global optimization, make the production task assignment and find which machine the jobs should be assigned at each stage, which is also called the process route of the job. After that the local assignment rules are used to determine the job’s starting time and processing sequence at each stage. The total production cost converted by time-based scheduling results is comprehensively considering the processing cost, waiting costs, and the products storage costs. The numerical results show the effectiveness of the algorithm after comparing between multi-group programs.

scholarly journals Optimization of CV.Amanda Makassar Production Planning in the Time of Covid-19 Using Multiple Goal Linear Program Model

2020 ◽  
Vol 17 (2) ◽  
pp. 189-201
Author(s):  
Astri Aksan ◽  
Aidawayati Rangkuti ◽  
Agustinus Ribal
Keyword(s):  
Production Planning ◽  
Production Cost ◽  
Linear Program ◽  
Production Costs ◽  
Market Demand ◽  
Program Model ◽  
Dual Purpose ◽  
Optimal Production ◽  
Multiple Goal ◽  
Target Priority

A research has been conducted on the use of multiple-goal linear program model to solve multi goals by taking the case of optimization of production planning at CV. Amanda Makassar during the Covid-19 period. In this research, four goals were formulated, that were (i) the fulfillment of the number of market demand, (ii) maximizing income, (iii) minimizing production costs, and (iv) maximizing working hours. Then for the optimal solution using LINGO 18 software. Based on the research results, the optimal production plan during the Covid-19 period resulted from the two different models for original brownies products where the results of the dual-purpose linear program model without target priority produced 16.118 original brownies and 32.400 packages from the dual-purpose linear program model with priority target with weight. For cream cheese brownies, there are 3.000 packages, 18.000 packages of sarikaya pandan brownies, 3.600 packs of choco marble brownies, pink marble brownies, tiramishu marble brownies, roasted brownies, and 1.800 packs of cappuccino marble brownies. Chocolate bananas bolen, pineapple molen, and chocolate ganache in 840 packages. Then for 15.000 packs of blueberry brownies, 960 packs of strawberry brownies, 360 packs of dry brownies, 2.400 banana cheese brownies, 300 packs of cheese bananas bolen, 600 packs of peanut butter, and 9.000 packs of pandan cake for a month. The maximum revenue obtained by the company with a multiple-purpose linear program model without target priority is Rp.628.602.000.- and the minimum production cost that the company must pay is Rp.495,048,300,-. Then for the multiple-purpose linear program model with target priority accompanied by a weight of Rp.4.299.480.000.- and the minimum production cost is Rp.3.394.366.000. The result shows that optimization using a multiple goal linear program model with goal priority provide optimal production which results in greater profit compared to the process (optimization) carried out by the company so far, which is only based on the number of demand.

scholarly journals Optimal Uncertainty Decision of Innovation Products Output Based on Return Collection

2016 ◽  
Vol 2016 ◽  
pp. 1-9
Author(s):  
Yi Su ◽  
Wei Sun ◽  
Zhouzhou Lin
Keyword(s):  
Production Cost ◽  
Product Returns ◽  
Optimal Production ◽  
Innovative Products ◽  
New Challenges ◽  
Decision Making Model ◽  
Purchase Quantity ◽  
Analytical Expressions ◽  
Production Decision ◽  
Structural Innovation

As the length of time between product renewals decreases, the enterprises that make innovative products face new challenges. The production cost structure of innovative products can be changed by collecting product returns, which can be economically valuable for enterprises. Enterprises face both production and demand randomness; hence, it is important to improve the traditional optimal production decision-making model that considers the randomness of demand only. This paper divides innovative products into structural innovation products and improved innovation products. The paper studies the optimal single-period production decision between reused parts and conventional new parts in complementary and substitute relationships. It further gives the analytical expressions for satisfying the optimal production and provides some numerical examples. The research results indicate that when producing innovative products, whether based on structural or improved innovation, with the variance of the quantity of the recycled parts increasing, the optimal purchase quantity of the conventional parts will increase but the expected profits for the innovative products will decrease. With integrated substitution and complementation based on improved innovation, enhancing the fluctuation in the number of recycled parts has a greater impact on the optimal purchase quantity of the substitute conventional parts than that of the complementary parts.

scholarly journals An EPQ Model with Unit Production Cost and Set-Up Cost as Functions of Production Rate

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Behrouz Afshar-Nadjafi
Keyword(s):  
Production Rate ◽  
Production Cost ◽  
Continuous Functions ◽  
Optimal Production ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Epq Model ◽  
Production Quantity ◽  
Set Up ◽  
The Cost

Extensive research has been devoted to economic production quantity (EPQ) problem. However, no attention has been paid to problems where unit production and set-up costs must be considered as functions of production rate. In this paper, we address the problem of determining the optimal production quantity and rate of production in which unit production and set-up costs are assumed to be continuous functions of production rate. Based on the traditional economic production quantity (EPQ) formula, the cost function associated with this model is proved to be nonconvex and a procedure is proposed to solve this problem. Finally, utility of the model is presented using some numerical examples and the results are analyzed.

scholarly journals Approximately Maximizing the Broker's Profit in a Two-sided Market

2019 ◽  
Author(s):  
Jing Chen ◽  
Bo Li ◽  
Yingkai Li
Keyword(s):  
Production Cost ◽  
Dominant Strategy ◽  
Valuation Function ◽  
Optimal Production ◽  
Single Item ◽  
Incentive Compatible ◽  
Private Value ◽  
Cost Monotonicity ◽  
Strategy Incentive ◽  
Two Sided Markets

We study how to maximize the broker's (expected) profit in a two-sided market, where she buys items from a set of sellers and resells them to a set of buyers. Each seller has a single item to sell and holds a private value on her item, and each buyer has a valuation function over the bundles of the sellers' items. We consider the Bayesian setting where the agents' values/valuations are independently drawn from prior distributions, and aim at designing dominant-strategy incentive-compatible (DSIC) mechanisms that are approximately optimal. Production-cost markets, where each item has a publicly-known cost to be produced, provide a platform for us to study two-sided markets. Briefly, we show how to covert a mechanism for production-cost markets into a mechanism for the broker, whenever the former satisfies cost-monotonicity. This reduction holds even when buyers have general combinatorial valuation functions. When the buyers' valuations are additive, we generalize an existing mechanism to production-cost markets in an approximation-preserving way. We then show that the resulting mechanism is cost-monotone and thus can be converted into an 8-approximation mechanism for two-sided markets.

Sign in / Sign up

Export Citation Format

Share Document