scholarly journals Optimization of multi-objective cropping pattern using linear and goal programming approaches

MAUSAM ◽  
2021 ◽  
Vol 58 (3) ◽  
pp. 323-334
Author(s):  
N. VIVEKANANDAN ◽  
K. VISWANATHAN
Keyword(s):  
Goal Programming ◽  
Optimal Allocation ◽  
Irrigated Agriculture ◽  
Cropping Pattern ◽  
Irrigation Planning ◽  
Planning And Scheduling ◽  
Net Return ◽  
Irrigation Project ◽  
Essential Components ◽  
Selection Of

Irrigation planning and scheduling are essential components of water management in irrigated agriculture. For this purpose, optimal allocation of land and water is required for optimization of cropping pattern under a set of limitations. In this paper, an attempt was made to optimize the cropping pattern for Barna irrigation project using Linear and Goal Programming (LP and GP) approaches. Three different objectives such as maximization of net return, protein and calorie values were considered for optimization of cropping pattern. The factors like amount of net return, values of protein and calorie, and quantum of water utilized for irrigation by LP and GP were considered for selection of best approach for optimization of cropping pattern for the project. The paper presents the methodology adopted in optimizing the cropping pattern using LP and GP approaches and the results obtained from the study. GP approach was found to be best for optimization of cropping pattern for the project.

scholarly journals Optimal allocation of land and water resources in irrigated agriculture by means of Goal Programming: Application in Loudias River Basin

2013 ◽  
Vol 7 (3) ◽  
pp. 264-273
Keyword(s):  
Water Resources ◽  
Decision Analysis ◽  
River Basin ◽  
Goal Programming ◽  
Agricultural Policy ◽  
Optimal Allocation ◽  
Crop Productivity ◽  
Irrigated Agriculture ◽  
Environmental Goals ◽  
Policy Scenarios

Agriculture is an economic activity that contributes significantly to the gross national product of a country, securing at the same time the viability of the rural sector and the social coherence. On the other hand, it can generate an environmental externality, especially concerning water resources that, in the name of higher crop productivity, are often overexploited or polluted. Most agricultural decision analysis studies are primarily focusing on farmers’ welfare optimization. Therefore, this externality is only examined as a negative environmental effect of different farming and agricultural policy scenarios. However, a proper decision analysis in the field of agricultural policy should be guided by the goal of finding a unique “optimal” solution out of a great number of possible alternatives that arise from a complex integrated socio-economic and environmental system, which incorporates significant conflicted interests. The main objective of this paper is to create, apply and evaluate a model that aims at the simultaneous maximization of farmer’s welfare and the minimization of the consequent environmental burden. More specifically, weighted and lexicographic goal programming techniques are employed. These techniques are implemented on a representative area in the Loudias River Basin in Greece to seek for a compromising solution - in terms of area and water allocation (under different crops) - resulting in figures that will come as close as possible to the decision maker’s economic, social and environmental goals. The information that is incorporated into the selected goals includes farmers’ welfare, characterized by securing income and employment levels, as well as environmental benefits, such as water resources protection from excessive application of fertilizers and from unsustainable use of irrigation water. Several weights or priority levels can be assigned on these goals, according to the intentions of the decision maker, that are likely to differentiate the final allocation of resources. Hence, the analysis is undertaken under different policy scenarios (e.g. environmental friendly, farmers’ friendly and compromising scenarios) and the results are well elucidated. In addition, it is further examined the different final outcome that may arise when the targets of the various economic and environmental goals are relaxed in order to reduce the information bias from the decision maker as well as to better perceive the indirect relationship between some competitive goals.

Intelligente Arbeitsvorbereitung in der Cloud/Smarter operations planning and scheduling in the cloud - Cloud application reduces setup and non-productive times by the use of virtual machine tools

2016 ◽  
Vol 106 (01-02) ◽  
pp. 77-82
Author(s):  
G. Rehage ◽  
F. Isenberg ◽  
R. Reisch ◽  
J. Weber ◽  
B. Jurke ◽  
...  
Keyword(s):  
Virtual Machine ◽  
Machine Tools ◽  
Distributed Simulation ◽  
Cloud Service ◽  
Planning And Scheduling ◽  
Operations Planning ◽  
Manufacturing Operations ◽  
Cloud Application ◽  
Cognitive Information ◽  
Selection Of

Auf dem Weg zu Industrie 4.0 wird die Arbeitsvorbereitung zunehmend von kognitiver Informationstechnik unterstützt. Der Beitrag präsentiert die bisherigen Ergebnisse des Forschungsprojekts „Intelligente Arbeitsvorbereitung auf Basis virtueller Werkzeugmaschinen“. Projektziel ist eine Cloud-Dienstleistungsplattform zur Reduzierung der Rüst- und Nebenzeiten durch eine intelligente Planung. Hierzu zählen unter anderem die Auswahl und Validierung alternativer Maschinen sowie die automatische Optimierung der Einrichtungsparameter durch verteilte Simulationen.   On the way to industry 4.0, the operations planning and scheduling will be aided by cognitive information systems. This contribution presents the previous findings of a research project called “Smart operations planning and scheduling on the basis of virtual machine tools” (translated from German). The aim of the project is the development of a cloud service for the smart planning of manufacturing operations; that will reduce the setup and non-productive times of machine tools. This is achieved by the automatic selection of alternative CNC machines, as well as the optimization of setup parameters via distributed simulation.

Crop Productivity Enhancement under Soybean Based Cropping System through Harvested Rain Water in Malwa Region

2021 ◽  
Author(s):  
D.H. Ranade ◽  
M.L. Jadav ◽  
Indu Swarup ◽  
O.P. Girothia ◽  
D.V. Bhagat ◽  
...  
Keyword(s):  
Water Availability ◽  
Irrigation Water ◽  
Sweet Corn ◽  
Rainwater Harvesting ◽  
Cropping System ◽  
Crop Productivity ◽  
Farm Income ◽  
Cropping Pattern ◽  
Water Harvesting ◽  
Net Return

Background: Rainwater harvesting is commonly practiced in areas, where the rainfall is insufficient for crop growing. Due to the intermittent nature of run-off events, it is necessary to store the maximum possible amount of rainwater during the rainy season so that it may be used as irrigation to enhance the crop productivity and farm income under soybean based cropping system.Methods: A study was carried out during 2018-2019 in Indore district of Malwa region. Rainwater harvesting tanks at on station (42´21´2.4m) and on farm (15´11´4m) were constructed for irrigation water availability. Provision of water harvesting tank increased the irrigation water availability (1781m3 and 630m3 respectively) and stored water was managed through various irrigation systems viz. rain gun, drip and flood.Result: It was resulted that the provision of water harvesting tanks enhanced the crop productivity and farm income under soybean based cropping system. Availability of irrigation encouraged the farmers to diversify the cropping pattern (soybean-chickpea, soybean -wheat). It is also clear from the study that even with smaller storage tank and through conjunctive use of ground (1164.2m3) and surface water (596m3), multiple crops (Soybean, potato, sweet corn, chickpea, onion, garlic etc.) can be grown. Soybean-Chickpea cropping system at station gave the net return of 70976 Rs/ha with B: C ratio of 3.15. Soybean-Wheat cropping system at farm gave the net return of 119000 Rs/ha with B:C ratio of 3.38. 

On Solving Multiobjective Transportation Problems with Fuzzy Random Supply and Demand Using Fuzzy Goal Programming

2017 ◽  
Vol 8 (3) ◽  
pp. 54-81 ◽  
Author(s):  
Animesh Biswas ◽  
Nilkanta Modak
Keyword(s):  
Goal Programming ◽  
Fuzzy Numbers ◽  
Optimal Allocation ◽  
Programming Model ◽  
Fuzzy Goal Programming ◽  
Chance Constrained Programming ◽  
Transportation Problems ◽  
Goal Programming Model ◽  
Fuzzy Goal ◽  
Fuzzy Random

In this article a fuzzy goal programming model is developed to solve multiobjective unbalanced transportation problems with fuzzy random parameters. In model formulation process the cost coefficients of the objectives are considered as fuzzy numbers and the supplies and demands are considered as fuzzy random variables with known fuzzy probability distribution from the view point of probabilistic as well as possibilistic uncertainties involved with the model. A fuzzy programming model is first constructed by applying chance constrained programming methodology in fuzzy environment. Then, the model is decomposed on the basis of the tolerance ranges of the fuzzy numbers associated with it. The individual optimal solution of each decomposed objectives is found in isolation to construct the membership goals of the objectives. Finally, priority based fuzzy goal programming technique is used to achieve the highest degree of each of the defined membership goals to the extent possible by minimizing the under deviational variables and thereby obtaining optimal allocation of products by using distance function in a cost minimizing decision making environment. An illustrative example is solved and compared with existing technique to explore the potentiality of the proposed methodology.

scholarly journals Crop Pattern Change and Crop Water Requirement Judgment using Remote Sensing and GIS Techniques: a research on Tungabhadra Dam Right Canal

2019 ◽  
Vol 8 (2S3) ◽  
pp. 652-657
Keyword(s):  
Remote Sensing ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Delta Method ◽  
Geographical Information ◽  
Command Area ◽  
Cropping Pattern ◽  
Crop Water ◽  
Irrigation Project ◽  
Gis Techniques

Agriculture is most important resources of any country worldwide which is a major renewable source and is dynamic. The study area selected was command area under Basavanna canal which is one of the canals to Tungabhadra river on right side bank. This selected canal for cropping pattern analysis has a command of 1240.00 hectare and is located at Vallabhpur, Bellary district. Basavanna canal has a designed discharge capacity of 125 cusecs for serving the cropping area. Every irrigation project has planned cropping pattern, the crop water requirement (CWR) for which is calculated based on Duty / Delta method. However due to growing population and increase demand for food products crop violation is found in every command leading to more irrigation. Remote Sensing (RS) and Geographical Information System (GIS) techniques have emerged as powerful tools for crop water management. Remotely sensed land use-land cover data was used for analysing the cropping pattern in the area and also to estimate the change in the cropping pattern. This study was performed using ArcGIS 9.3 and ERDAS 9 software. Crop water requirement was calculated using Modified Penman Equation for present cropping pattern. The study finds that, approximately 50% of water could be saved using modified Penmen method compared to crop water requirement calculated using Duty Delta method as adopted in project report and the same water may be diverted to meet other needs

scholarly journals Errata to: Optimization of cropping pattern using goal programming approach

OPSEARCH ◽  
2010 ◽  
Vol 47 (1) ◽  
pp. 104-104 ◽  
Author(s):  
N. Vivekanandan ◽  
K. Viswanathan ◽  
Sanjeev Gupta
Keyword(s):  
Goal Programming ◽  
Programming Approach ◽  
Cropping Pattern

Strategic analysis of the competitiveness of the enterprise

2021 ◽  
pp. 35-46
Author(s):  
Yuliia Grynchuk ◽  
Andrii Muzychenko ◽  
Kseniia Prykhod’ko
Keyword(s):  
Price Policy ◽  
Strategic Analysis ◽  
Competitive Advantages ◽  
Macroeconomic Factors ◽  
Modern Computer ◽  
Study Results ◽  
Essential Components ◽  
Selection Of

The purpose of the article is to develop a methodology of strategic analysis of enterprise competitiveness. The methodological basis of the research is the use of general scientific methods: the method of analysis and synthesis, theoretical generalization and comparison, and the means of modern computer technology for data visualization. The scientific novelty of the received results consists of developing a logical and linguistic methodology of competitiveness analysis in the long term. The article is devoted to the development of strategic analysis of the competitiveness of the enterprise. Relevance of research is caused by enterprises management in the modern markets that use innovations of products or technologies, constantly face competition, and according to its condition, should make decisions on strategic development in conformity with the country’s development market inquiries the society. Thus, the problem is not only for new companies but also for those that already function in the market and carry out planning of economic activity to become the market leader, not to lose leadership, to keep the positions. The given methodology can be used by any enterprise irrespective of the type of activity, form of ownership, or strategic goals. Conclusions. According to the study results, the methodology of strategic analysis, which is based on the study of potential internal development of the enterprise, taking into account the influence of external factors, which include macroeconomic factors of influence and market conditions. The basic approaches to the analysis of the competitiveness of the enterprise of foreign and domestic researchers are investigated in the article. The essential components of competitive advantages, which include price and non-price factors, are considered. Peculiarities of carrying out the analysis of the competitiveness of the enterprise after Porter are defined. The methodology of competitiveness analysis in the long term is developed. The main components of the strategic analysis are the estimation of activity scale in a long-term prospect, determination of strategic aims of the company, determination of aims of market coverage, selection of strategy type, selection of basic subjects of influence on competitive advantages, assessment of future relations with suppliers and buyers, assessment of cost price level, assessment of the quality of products and services and unique properties of products, formation of internal price policy. Key words: strategy, strategic analysis, competitiveness, competitive advantages.

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