scholarly journals Modeling of Optimal Production Systems Based on the Intellectual Property of the Enterprise

2020 ◽  
Vol 18 (2) ◽  
pp. 117
Author(s):  
V. S. Klekovkin ◽  
O. B. Goltsova ◽  
V. N. Permyakov
Keyword(s):  
Intellectual Property ◽  
Production Systems ◽  
Optimal Production

Оптимальная производственная система обеспечивает выпуск конкурентоспособных бизнес-продуктов и расширенное воспроизводство. При этом с точки зрения системного подхода  решаются две задачи:– собрать в производственную систему необходимые и достаточные для производства конкурентоспособного продукта процессы;– гармонизировать между собой производственные, управляющие и обеспечивающие процессы в оптимальной производственной системе с целью максимизации ее синергии.А это во многом определяется уровнем интеллектуальной собственности предприятия.База интеллектуальной собственности структурирована по следующим направлениям (факторам): компетенции персонала, оцененные в соответствии с требованиями современного технологического уклада; реальные индивидуальные достижения персонала; портфель освоенных и перспективных технологий и конструкций в областях продукции и оснастки; технические решения в области конструкций и технологий (способов изготовления), защищенные патентами; ноу-хау в областях техники и технологий, организации и управления, не защищенные патентами; методики обеспечения синергии взаимодействия персонала; его удовлетворенности; корпоративной культуры; удовлетворенности и создания большей взаимовыгодной ценности заинтересованных сторон предприятия.Рассматривается модель управления интеллектуальной собственностью; формирование, оценка и актуализация индивидуализированной и общей баз интеллектуальной собственности предприятия; модель оптимальной производственной системы.Модель оптимальной производственной системы с учетом интеллектуальной собствен­ности предприятия позволяет объективно принимать решения для разработки плана органи­зационно-технических мероприятий по улучшениям процессов и производственной системы в целом.А по анализу эффективности бизнес-продукта в целом и отдельных процессов в частности предприятие может проводить повышение эффективности своей деятельности.При этом оцененная интеллектуальная собственность предприятия позволяет формировать команды, обеспечивающие решение инновационных проблем.

scholarly journals Optimal Control of Nonsmooth Production Systems with Deteriorating Items, Stock-Dependent Demand, with or without Backorders

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 183
Author(s):  
Messaoud Bounkhel ◽  
Lotfi Tadj ◽  
Yacine Benhadid ◽  
Ramdane Hedjar
Keyword(s):  
Optimal Control ◽  
Dynamic System ◽  
Closed Form ◽  
Production Systems ◽  
Necessary Optimality Conditions ◽  
Optimal Production ◽  
Closed Form Solutions ◽  
Stock Dependent Demand ◽  
The Cost ◽  
Dependent Demand

We propose a nonsmooth dynamic system integrating production and inventory where the items may deteriorate and the demand is stock-dependent. We aim to derive the optimal production rate. In our first model, backorders are not allowed, while in the second model they are. Using optimal control, necessary optimality conditions are obtained for general forms of the cost, demand, and deterioration rates and closed form solutions are derived for specific forms of these rates. Numerical simulations are presented and sensitivity of the solutions are examined.

METHODS OF ENSURING OPTIMAL PRODUCTION PRODUCTIVITY AT ENTERPRISES

2021 ◽  
Vol 1 (8) ◽  
pp. 51-55
Author(s):  
O. V. TITOVA ◽  
Keyword(s):  
Consumer Demand ◽  
Production Systems ◽  
Optimal Production ◽  
Original Process ◽  
Floor Level ◽  
Industrial Enterprises ◽  
Process Plans ◽  
Planning Processes ◽  
Machining Operations ◽  
Production Resources

The article shows that modern production systems must be able to perform various machining operations and quickly adapt to changes in consumer demand. When planning processes, only the capabilities of production resources are taken into account, but not their quantity, availability and condition. Plans created under these conditions can easily become ineffective or invalid. Changes to the original process plans or even redevelopment then become commonplace at the production floor level. This will significantly affect the productivity of production systems and industrial enterprises.

scholarly journals The Use of Intellectual Property Systems in Plant Breeding for Ensuring Deployment of Good Agricultural Practices

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1163
Author(s):  
Marinus J. M. Smulders ◽  
Clemens C. M. van de Wiel ◽  
Lambertus A. P. Lotz
Keyword(s):  
Disease Resistance ◽  
Intellectual Property ◽  
Plant Breeding ◽  
Production Systems ◽  
Resistance Management ◽  
Agricultural Practices ◽  
Brand Names ◽  
Good Agricultural Practices ◽  
Crop Varieties ◽  
Management Regimes

Breeding innovations are relevant for sustainable agricultural development and food security, as new, resilient production systems require crop varieties optimally suited for these systems. In the societal debate around genetic engineering and other plant breeding innovations, ownership of patents on the technology used in the hands of large companies is often seen as a reason that small breeding companies are denied opportunities for further improving varieties or that farmers are restricted in using such varieties. However, intellectual property (IP) systems may also be used as tools to ensure the use of good agricultural practices when cultivating the resulting varieties. This paper explores documented cases in which IP systems (plant variety rights, patents and brand names) are used to promote that innovative varieties are grown according to good agricultural practices (GAP). These include effective disease resistance management regimes in innovative crop varieties of potato in order to prevent or delay pathogens from overcoming disease resistance genes, management regimes for transgenic insect-resistant Bt or herbicide-tolerant crops to prevent the development of resistant pests or weeds, respectively. The results are discussed with respect to the influence of breeders on GAP measures through various forms of IP and the contribution and role of other stakeholders, authorities and society at large in stimulating and ensuring the use of GAP.

scholarly journals Odlucivanje u preradi drveta

2010 ◽  
pp. 25-33
Author(s):  
Milan Vukicevic
Keyword(s):  
Decision Making ◽  
Production Systems ◽  
Production Plan ◽  
Negative Consequences ◽  
Business Systems ◽  
Mathematical Methods ◽  
Optimal Production ◽  
Wood Processing ◽  
Plan Optimization ◽  
The Many

Decisions in wood processing are still made based on experience. In the conditions of high dynamism of the production systems, this inevitably leads to negative consequences. The consequences are great disturbances, which in turn cause low efficacy and profitability of the production systems. The solution of disturbances in production systems should be searched in the transition from the experience, to modern decision making. One of the many applications is the definition of the optimal production plan. In the conditions of interrupted production, when several criteria should be satisfied, and if there are different goals, the production plan optimization has a high significance. Modern decision making includes a series of mathematical methods, which allow the making of optimal decisions in different segments of production and business systems. In the situations where there are several criteria and different goals, as in the case of defining the optimal production plan, multicritera decision making is the recommended method. The criteria for the study production system were defined and the different goals were set. The optimal production plan was defined by the Analytical Hierarchy Process-AHP. Based on the decision diagram, it can be concluded that the optimal alternative of the plan is Alternative 3. For the production systems in wood processing to be efficacious and profitable, the quality of decisions should be good. This means that decision making from the sphere of experience, should be transferred to the sphere of modern decision making. Modern decision making is a set of mathematical methods which belong to different spheres of decision making.

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