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%.

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 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  

AN ECONOMIC PRODUCTION LOT SIZE FOR CONTINUOUS DECREASE IN UNIT PRODUCTION COST

2008 ◽  
Vol 25 (05) ◽  
pp. 673-688 ◽  
Author(s):  
B. C. OUYANG ◽  
H. RAU
Keyword(s):  
Product Life Cycle ◽  
Production Cost ◽  
Recursive Algorithm ◽  
Optimal Number ◽  
Production Costs ◽  
Mature Stage ◽  
Lot Size ◽  
Unit Production Cost ◽  
Economic Production ◽  
Production Policy

It is common that prices of raw materials, parts or products decrease significantly after they come onto the market. High technology products are good examples, such as PCs, CPUs, DRAM, and mobile phones. Consequently, the traditional economic production quantity (EPQ) model assuming a constant unit production cost is no longer suitable for today's time-based competition. This study incorporates linearly and exponentially decreasing unit production costs during the mature stage of a product life cycle and presents a mathematical inventory model for production policy. A recursive algorithm is developed to obtain the optimal production schedule and a one-dimension search method is applied to find the optimal number of production cycles. In addition, numerical examples to illustrate the proposed model and its significance with or without considering a continuous reduction in unit production costs for the production policy are discussed as well.

scholarly journals Pengaruh biaya produksi terhadap penetapan harga jual kue kering - bakpia pada UD. New Tweety Desa Takeran RT 04 RW 01 Kecamatan Takeran Kabupaten Magetan

2017 ◽  
Vol 5 (2) ◽  
pp. 179
Author(s):  
Heniy Undaryani Dewi
Keyword(s):  
Linear Regression ◽  
Production Cost ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Positive Influence ◽  
Production Costs ◽  
Selling Price ◽  
Market Demand ◽  
Simple Linear Regression ◽  
Consumer Tastes

<p><em>This study aims to determine Production Costs incurred by the company UD. New Tweety-Magetan, and to determine the effect on the production cost selling price determination pastries bakpia-Bakpia At UD. New Tweety. The sampling technique in this study using purposive sampling technique that uses the samples for 4 of the last period started the company UD. New Tweety-Magetan founded. Data collection method used is observation, interview and documentation methods. Analysis of the data used to use Descriptive Statistics analysis using Simple Linear Regression Analysis, The results showed that the positive influence between the production cost of the determination of the selling price. This is shown by a simple linear regression equation Y = 91.880 + 0.708 X that could mean that in any rise in the cost of production is always followed by a rise in selling prices, as well as vice versa in any reduction in production costs always follow gathering decrease in selling prices. In this study the effect of production cost and the selling price by 65.7% and</em></p><p><em>34.3% influenced by conditions or other variables such as market demand and consumer tastes will be Pastries Bakpia.</em></p>

scholarly journals DETERMINING COST OF PRODUCTION FOR THREE ALTERNATIVE NURSERY PRODUCTION METHODS

HortScience ◽  
1995 ◽  
Vol 30 (3) ◽  
pp. 439e-439
Author(s):  
C.C. Montgomery ◽  
B.K. Behe ◽  
J.L. Adrian ◽  
K.M. Tilt
Keyword(s):  
Capital Investment ◽  
Production Cost ◽  
Woody Plant ◽  
Production Systems ◽  
Production Method ◽  
Production Costs ◽  
Plant Production ◽  
Production Methods ◽  
Nursery Production ◽  
Container Production

Aboveground container production revolutionized woody plant production. In-ground pot-in-pot container production combines the benefits of container production with traditional field production. Our objective was to determine the specific costs of production for field-grown, aboveground container, and pot-in-pot production methods for Lagerstroemia indica. We found differences in production cost with varying levels of input required by each production method. Pot-in-pot production systems had higher fixed and variable costs and a higher initial capital investment compared to the other two production methods. However, per unit production costs were similar to aboveground container production due to lower labor and equipment requirements.

Immaterial Cost and Production: Maximum Production Cost Level Through Marginal Approach

2020 ◽  
Vol 8 (2) ◽  
pp. 128-149
Author(s):  
Dini Maulana Lestari
Keyword(s):  
Quantitative Study ◽  
Marginal Cost ◽  
Production Cost ◽  
Maximum Level ◽  
Production Costs ◽  
Total Production ◽  
Sugar Factory ◽  
Maximum Production ◽  
Cost Approach ◽  
South Sulawesi

This paper will discuss about the immaterial costs and production yields at one of the refined sugar factory companies in Makassar, South Sulawesi. The theory is based on the fact that Immaterial is a cost that is almsgiving, meaning costs that are outside of the basic costs of the company in producing production, so this research aims to find out: (1) what is the production cost needed to produce this production, (2) the maximum level of production at company from 2013 to 2017. This type of research is a quantitative study because it uses a questionnaire in the form of values ​​that are processed using the marginal cost approach formula. The results of the analysis show that (1) the maximum level of production costs occurred in 2016 amounting to 6,912 with an Immaterial cost of Rp. 2,481,796,800 and the total production produced is 359,077.3 tons (2) The required workforce with the total production produced is 359,077.3 tones of 180 people including the maximum production point which means that the lowest value is achieved (optimal).    

PROFITABILITAS USAHA PETERNAKAN AYAM BROILER DENGAN TIPE KANDANG YANG BERBEDA

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Nurul Mukminah ◽  
Rita Purwasih
Keyword(s):  
Economic Analysis ◽  
Production Cost ◽  
Broiler Chicken ◽  
Production Costs ◽  
Different Types

This study aims to determine and compare the profitability of different types of broiler chicken farms (open and cloused houses) in Subang Regency. This study involved 9 farmers consisting of 5 farmers with closed house and 4 farmers with open house who partnered with PT. Surya Unggas Mandiri (PT. SUM). Production costs taken are 2 production periods from May-August 2018. Data are analyzed using economic analysis and descriptive methods. The results showed that the production cost per period per 1000 birds closed house was higher (Rp. 27.656.768,-) compared to open house (Rp. 24.975.671,-). The revenue per period per 1000 birds of closed house is higher (Rp. 30.606.931,-) compared to open house (Rp. 25.788.618,-). The profit of farmers who use closed house is higher (Rp. 2.621/period/bird) than open house (Rp.417,-). The profitability in close house s is 9.48% and is very feasible to develop

MINIMALISASI BIAYA SIMPAN DAN BIAYA SETUP PADA MULTIPLE PRODUK: SIMULASI DENGAN CAPACITATED LOT SIZING PROBLEM

2019 ◽  
Vol 4 (2) ◽  
pp. 205-214
Author(s):  
Erika Fatma
Keyword(s):  
Production Cost ◽  
Lot Sizing ◽  
Setup Time ◽  
Production Costs ◽  
Total Production ◽  
Product Cycle ◽  
Lot Size ◽  
Setup Costs ◽  
Lot Sizing Problem ◽  
Capacitated Lot Sizing

Lot sizing problem in production planning aims to optimize production costs (processing, setup and holding cost) by fulfilling demand and resources capacity costraint. The Capacitated Lot sizing Problem (CLSP) model aims to balance the setup costs and inventory costs to obtain optimal total costs. The object of this study was a plastic component manufacturing company. This study use CLSP model, considering process costs, holding costs and setup costs, by calculating product cycle and setup time. The constraint of this model is the production time capacity and the storage capacity of the finished product. CLSP can reduce the total production cost by 4.05% and can reduce setup time by 46.75%.  Keyword: Lot size, CLSP, Total production cost.

scholarly journals A novel approach to optimize the production cost of railway coaches of India using situational-based composite triangular and trapezoidal fuzzy LPP models

2021 ◽  
Author(s):  
Rakesh Kumar ◽  
Gaurav Dhiman ◽  
Neeraj Kumar ◽  
Rajesh Kumar Chandrawat ◽  
Varun Joshi ◽  
...  
Keyword(s):  
Comparative Study ◽  
Real Time ◽  
Production Cost ◽  
Upper Bounds ◽  
Production Costs ◽  
Cost Data ◽  
Novel Approach ◽  
Membership Grade ◽  
Minimum Costs

AbstractThis article offers a comparative study of maximizing and modelling production costs by means of composite triangular fuzzy and trapezoidal FLPP. It also outlines five different scenarios of instability and has developed realistic models to minimize production costs. Herein, the first attempt is made to examine the credibility of optimized cost via two different composite FLP models, and the results were compared with its extension, i.e., the trapezoidal FLP model. To validate the models with real-time phenomena, the Production cost data of Rail Coach Factory (RCF) Kapurthala has been taken. The lower, static, and upper bounds have been computed for each situation, and then systems of optimized FLP are constructed. The credibility of each model of composite-triangular and trapezoidal FLP concerning all situations has been obtained, and using this membership grade, the minimum and the greatest minimum costs have been illustrated. The performance of each composite-triangular FLP model was compared to trapezoidal FLP models, and the intense effects of trapezoidal on composite fuzzy LPP models are investigated.

scholarly journals The Moderate Operation Scales of Apples Based on Output, Profit, and Unit Production Costs in the Shaanxi Province of China

Land ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 25
Author(s):  
Congying Zhang ◽  
Qian Chang ◽  
Liqun Shao ◽  
Xuexi Huo
Keyword(s):  
Production Cost ◽  
Cost Model ◽  
Unit Cost ◽  
Production Costs ◽  
Shaanxi Province ◽  
Profit Model ◽  
Unit Production Cost ◽  
Net Profit ◽  
Apple Production ◽  
Moderate Scale

In the Shaanxi province, small and scattered plots impede an increase in the efficiency of apple production. Developing a moderate operation scale is a proper tool to solve inefficiencies in apple production, as it enables improving the factor allocation efficiency, resulting in higher yields, higher profit, or lower production costs. However, the moderate operation scales, based on output, profit, and production costs, may be different. This paper aimed to evaluate the moderate operation scale of apples from three perspectives of increasing yields and profits and reducing unit production cost. The study was based on survey data collected from 661 randomly selected apple farmers in eight counties of the Shaanxi province, China. The collected data were analyzed quantitatively by the input-output model, the net profit model, and unit production cost model. The findings show that: (1) The moderate operation scale oriented to increasing apple yields in the Shaanxi province should be 0.87–1.53 ha. (2) The moderate operation scale oriented to increasing the net profit of farmers in the Shaanxi province should be over 1.53 ha. (3) The moderate operation scale oriented to reducing the unit cost of apple production in the Shaanxi province should be 0.20–0.53 ha. The study provides evidence that policymakers should grasp the balance point and find the intersection of the operation scale based on output, profit, and unit production cost when guiding apple growers to carry out the moderate scale. We propose that 0.87–1.53 ha may be a suitable operation scale for apple production in the Shaanxi province at the current stage.

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