scholarly journals Can Producers’ Price War End Up in an Optimal Allocation?

Mathematics ◽  
2022 ◽  
Vol 10 (2) ◽  
pp. 265
Author(s):  
Marta Kornafel
Keyword(s):  
Production System ◽  
Nash Equilibria ◽  
Optimal Allocation ◽  
Positive Answer ◽  
Production Plan ◽  
Optimal Production ◽  
Multicriteria Game ◽  
Price War ◽  
Production Plans ◽  
Stated Problem

The paper presents a theoretical framework for the phenomenon of the price war in the context of general equilibrium, with special attention to the production system. The natural question that arises is whether Nash-optimal production plans being the reactions to the changing prices can finally approximate a Nash-optimal production plan at the end of this war. To provide an answer, the production system is described as a parametric-multicriteria game. Referring to some results on the lower semicontinuty of the parametric weak-multicriteria Nash equilibria, we provide a positive answer for the stated problem.

Concept Of Increasing The Level Of Projects Of Work Production

2020 ◽  
pp. 59-63
Keyword(s):  
Practical Experience ◽  
Production Plan ◽  
The Real ◽  
Master Plans ◽  
General Contractor ◽  
Work Production ◽  
Construction Organization ◽  
Production Plans

The author analyzes the reasons that objectively reduce the importance and quality of the organizational and technological solutions of work production plans and the content of their main documents. Based on a generalization of practical experience, one of the real ways of increasing the level of work production plans is proposed as a result of the development of "The Unified Rules for Work Production on the Site" as part of the construction organization project, in the form of fundamental requirements, followed by the inclusion of this document in the work production plan as an input document. The structure and content of the Unified Rules are described with the disclosure of the main documents - calendar plans of work, construction master plans, technological schemes of works. The first section of the document contains requirements for the content of tasks for the development of the project of work execution, the order of its approval, and requirements for the quality of solutions. The second section presents principal solutions, methods of work execution and their technological schemes. The organizational and technological solutions adopted in the proposed document are specified and detailed by the General Contractor Construction Organization with due regard for the resource capabilities and the actual conditions of construction or reconstruction.

scholarly journals Multiobjective Optimization Model of Production Planning in Cloud Manufacturing Based on TOPSIS Method with Combined Weights

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Zhiru Li ◽  
Wei Xu ◽  
Huibin Shi ◽  
Qingshan Zhang ◽  
Fengyi He
Keyword(s):  
Multiobjective Optimization ◽  
Production Planning ◽  
Mass Customization ◽  
Evaluation Model ◽  
Cloud Manufacturing ◽  
Production Plan ◽  
Topsis Method ◽  
Nsga Ii ◽  
Optimal Production ◽  
Planning Scheme

Combined with the research of mass customization and cloud manufacturing mode, this paper discussed the production planning of mass customization enterprises in the context of cloud manufacturing in detail, analyzed the attribute index of manufacturing resource combination, and given a system considering the characteristics of batch production in mass customization and the decentralization of manufacturing resources in cloud manufacturing environment. Then, a multiobjective optimization model has been constructed according to the product delivery date, product cost, and product quality that customers care most about. The Pareto solution set of production plan has been obtained by using NSGA-II algorithm. This paper established a six-tier attribute index system evaluation model for the optimization of production planning scheme set of mass customization enterprises in cloud manufacturing environment. The weight coefficients of attribute indexes were calculated by combining subjective and objective weights with analytic hierarchy process (AHP) and entropy weight method. Finally, the combined weights calculated were applied to the improved TOPSIS method, and the optimal production planning scheme has been obtained by ranking. This paper validated the effectiveness and feasibility of the multiobjective model and NSGA-II algorithm by the example of company A. The Pareto effective solution has been obtained by solving the model. Then the production plan set has been sorted synthetically according to the comprehensive evaluation model, and the optimal production plan has been obtained.

scholarly journals USING THE METHOD OF SEQUENTIAL RESTRICTIONS FOR SOLVING A DUAL-OBJECTIVE PROBLEM OF PRODUCTION PLANNING

2020 ◽  
Vol 11 (87) ◽  
Author(s):  
Nataliia Dovha ◽  
◽  
Hryhorii Tsehelyk ◽  
Keyword(s):  
Optimization Problem ◽  
Production Efficiency ◽  
Point Of View ◽  
Main Task ◽  
Production Plan ◽  
Optimal Production ◽  
Economic Point ◽  
Use Of Resources ◽  
Maximum Profit

The processes of optimization of the production plan according to certain criteria by modeling were investigated. Achieving effective results directly depends on the optimal production plan. The most important thing in determining the optimal production plan is the choice of modeling criteria. For the most part, the quality of decisions is characterized not by one but by many incomparable criteria. Therefore, it is necessary to make decisions based not on one but on many criteria. This so-called multi-objective optimization problem. For solving such problems is widely used mathematical methods. Mathematical approach can be used to solve problems in any particular activity as mathematics abstracted from specific features characteristic of a particular solution. Therefore, from the point of view of mathematics, the optimal result can be obtained with various established criteria, but from the economic point of view it is important to choose the ones that are of decisive importance. That is, their weight is important for the consumer when making a purchase decision, and for the manufacturer – in terms of production capabilities of certain types and results (production efficiency). The basis of the operation of any enterprise is a production program (production and sales plan). The main task of the production plan is to meet the needs of consumers in high-quality products, which are produced with the best use of resources, on the one hand, and the enterprise to get the maximum profit, on the other. With this in mind, a two-criteria optimization model that allows to make a production plan was proposed. The plan ensures that products are produced with the best use of available resources and at the same time ensures maximum quality of manufactured products and maximum profit from sales of these products. The solution of the problem with two objective functions and linear constraints is achieved by step-by-step solution of the proposed mathematical model of optimization of the production plan using the method of sequential restrictions. The simplex method was also used. An example shows an algorithm for solving the optimization problem.

scholarly journals An assessment of the algorithm difference measure in a multivariate system for production plans scheduling

2020 ◽  
pp. 65-80
Author(s):  
Denis Gruzenkin ◽  
◽  
Aleksandr Kuznetsov ◽  
Igor Seleznev ◽  
◽  
...  
Keyword(s):  
Software Quality ◽  
Dimensional Space ◽  
Production Plan ◽  
Control Points ◽  
Production Task ◽  
Multivariate System ◽  
Difference Measure ◽  
Sorting Algorithms ◽  
Production Plans ◽  
Independent Indicator

In the process of designing a production plan, one of the important steps is scheduling the execution of technological operations. The schedule can be created either manually or by using software. If the schedule is compiled by software, then several schedule generation algorithms are used to eliminate possible errors. A set of such algorithms is called a "batch". It is advisable that only different algorithms should be included in the batch. This is necessary to eliminate errors of the same type. Therefore, the search for clones of algorithms in the batch is an urgent production task. To solve it a diversity metric of algorithms was developed in the course of this work. Such a metric numerically (as a percentage) determines how much the algorithms differ. This metric is based on the properties of the algorithm execution. Algorithm traces are constructed in the N-dimensional space using the obtained points. The coordinates of the trace points are the values with which the algorithm works at each step of its execution or each of the control points of the algorithm execution. An experiment was performed to confirm the correctness of this metric. Within this experiment, the trace properties of three sorting algorithms were calculated. Based on the properties obtained, indicators were determined for comparing algorithms in the metric space. The experiment confirmed the effectiveness of using the diversity metric to find clones in the algorithms batch. The scope of this metric is not limited to clone searches. It can be used as an independent indicator of software quality.

Model Predictive Control of a Forecasting Production System with Deteriorating Items

2015 ◽  
Vol 6 (4) ◽  
pp. 19-37 ◽  
Author(s):  
Abdelhak Mezghiche ◽  
Mustapha Moulaï ◽  
Lotfi Tadj
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Production System ◽  
Objective Function Value ◽  
Inventory Level ◽  
Optimal Production ◽  
Control Approach ◽  
System Parameters ◽  
Demand Rate ◽  
Optimal Inventory Level

The authors consider in this paper an integrated forecasting production system of the tracking type. The demand rate during a certain period depends on the demand rate of the previous period. Also, the demand rate depends on the inventory level. Items on the shelves are subject to deterioration. Using a model predictive control approach, the authors obtain the optimal production rate, the optimal inventory level, the optimal demand rate, and the optimal objective function value, explicitly in terms of the system parameters. A numerical example is presented.

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 Optimal Allocation of Reliability in Series Parallel Production System

10.5772/55725 ◽  
2013 ◽  
Author(s):  
Rami Abdelkader ◽  
Zeblah Abdelkader ◽  
Rahli Mustapha ◽  
Massim Yamani
Keyword(s):  
Production System ◽  
Optimal Allocation ◽  
In Series
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