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 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 Optimal MTS and MTO Hybrid Production System for a Single Product Under the Cap-And-Trade Environment

2020 ◽  
Vol 12 (6) ◽  
pp. 2426
Author(s):  
Shouyao Xiong ◽  
Yuanyuan Feng ◽  
Kai Huang
Keyword(s):  
Production System ◽  
Optimal Solution ◽  
Cap And Trade ◽  
Single Product ◽  
Optimal Production ◽  
Production Mode ◽  
Hybrid Production ◽  
Allowance Trading ◽  
Production Strategy ◽  
Production Decision

This paper studies the optimal production planning in a hybrid Make-To-Stock (MTS) and Make-To-Order (MTO) production system for a single product under the cap-and-trade environment. The manufacturer aims to minimize the total cost in production, inventory and emissions allowances trading. The decisions include the selection of production mode (pure MTS, pure MTO or hybrid MTS/MTO), the inventory and emissions trading quantity. We derive the optimal solution analytically. We show that the cost of optimal MTO/MTS hybrid production strategy is remarkably less than that of either pure MTO or pure MTS production strategy alone. Compared with the no initial carbon quota and trading environment, there are significant differences in the optimal production decisions under trading environment. When the emissions cost is a source of costs, the manufacturer has to face more costs pressure even if there is no emissions allowance trading. In particular, the results show that the initial emissions allowance determines the optimal production decision and emissions allowance trading decision in cases where the difference between the inventory cost for per unit product and the delayed delivery cost for per unit order is between the minimum and the maximum emissions cost and has no effect on production mode and emissions allowances trading decision in other cases. These conclusions will provide optimal production decision and carbon trading decision for the manufacture under a cap-and-trade environment.

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%.

scholarly journals Changes in dietary preferences: new challenges for sustainability and innovation

2015 ◽  
Vol 15 (1) ◽  
pp. 17-26 ◽  
Author(s):  
L. Casini ◽  
C. Contini ◽  
C. Romano ◽  
G. Scozzafava
Keyword(s):  
Generation X ◽  
Latent Class ◽  
Dietary Habits ◽  
Economic Changes ◽  
Dietary Preferences ◽  
Food Pattern ◽  
Food Patterns ◽  
Innovative Products ◽  
New Challenges ◽  
High Level

The transformations in dietary habits that have occurred over recent decades draw attention to important issues concerning the relationship between lifestyles, diet and health, and open up new challenges for operators in the agricultural and food sector. This study intends to analyse these evolutions, comparing the dietary preferences of generation X in 2001 with its dietary preferences in 2011, and those of the following generation, the so-called generation Y. The analysis was conducted by applying latent class clustering to the food spending of a representative sample of Italian consumers. It has enabled us to identify the prevalent food patterns in 2001 and 2011 and to analyse their transformations, interpreting them in the light of social, cultural and economic changes. The comparison of food pattern characteristics over this period highlights the emergence of trends that move in two different directions. The first of these is the rise of a new dietary sensitivity towards a healthy diet rich in fruits, vegetables and fish. The other concerns food patterns that are more vulnerable to diseases related to an unhealthy diet. These trends should draw the attention of public operators to the need for communication campaigns that target specific segments and aim to direct food habits towards healthier behaviours. A change in supply could also help improve the diet, especially if aimed at products with a high level of service provision and at establishments that serve food. Finally, the birth of a niche of consumers particularly drawn towards healthy eating opens the way for the industry to propose a series of innovative products.

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.

Optimal production decision of new energy vehicle and traditional fuel vehicle

2021 ◽  
pp. 1-9
Author(s):  
Jiang Jiali ◽  
Lin Yuanyuan ◽  
Zhang Zhenyang ◽  
Wang Jun
Keyword(s):  
Decision Problem ◽  
Downward Trend ◽  
Optimal Production ◽  
Pricing Decision ◽  
New Energy ◽  
Vehicle Production ◽  
New Energy Vehicle ◽  
Vehicle Market ◽  
Production Decision ◽  
New Energy Vehicles

With the reduction of government subsidies for new energy vehicle, it has become an important decision problem for traditional vehicle enterprises with new energy vehicle production qualification to decide how much proportion of new energy vehicles should be produced. By maximizing the utility of the vehicle enterprise, this study analyses the influence of enterprise’s production decision and consumer’s preference payment premium for the performance of new energy vehicle on optimal mixed production and pricing decision after the subsidies withdraw from the new energy vehicle market. The Results show that: (1) consumer’s payment premium increases the proportion of new energy vehicles produced by automobile enterprise. The enterprise only produces traditional fuel vehicles instead of new energy vehicles, when the premium is less than a certain level; and when the payment premium is higher than a certain threshold, the enterprise merely produces new energy vehicles instead of traditional ones. (2) As the rise of consumer’s payment premium, the amount of people who consume vehicles show a downward trend, and finally only 1/2 of consumers will remain to purchase automobiles. (3) There shows a U-shaped relationship between the optimal profit of vehicle enterprise and consumer payment premium that the profit of vehicle enterprise will decline first and then rise with the increase of consumer payment premium.

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