Agricultural Implements

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Josadak Astorino Marcola - One of the best experts on this subject based on the ideXlab platform.

  • annualized hours as a capacity planning tool in make to order or assemble to order environment an Agricultural Implements company case
    Production Planning & Control, 2001
    Co-Authors: Eduardo Vila Goncalves Filho, Josadak Astorino Marcola
    Abstract:

    Capacity planning is one of the most important elements for an efficient production planning and control system. It is even more important when the main strategies to fulfil sales requirements are make-to-order (MTO) or assemble-to-order (ATO). Neither MTO or ATO companies keep finished products in stock which means that production level is driven by actual sales figures. Therefore, it is very important to have an available capacity as flexible as possible to meet sales requirements. Annualized hours (AH) is a work time control system that helps in increasing the flexibility of available capacity. The main rule of the AH system is to hire employees to work a certain number of hours on a yearly basis. Following some other pre-defined rules and limits, the AH system allows a company to adjust weekly available time in order to reduce idle capacity or to fulfil requirements that could mean overtime. This paper proposes a linear programming model to plan the operations using AH. This model has been implemented...

Bruno Notarnicola - One of the best experts on this subject based on the ideXlab platform.

  • Quantifying life cycle inventories of Agricultural field operations by considering different operational parameters
    The International Journal of Life Cycle Assessment, 2019
    Co-Authors: Giuseppe Tassielli, Pietro A. Renzulli, Seyed Hashem Mousavi-avval, Bruno Notarnicola
    Abstract:

    Purpose The ability to estimate fuel and lubricant consumption as well as depreciated weight of Agricultural machinery used for field operations is very useful for energy and environmental analyses. In this study, life cycle inventory data of Agricultural field operations were established by considering different parameters of such operations. Methods Agricultural operations considered in this study include tillage, cultivation, planting, harvesting and post-harvest operations. For these operations, the fuel and lubricant consumption as well as depreciated weight of tractors, combine harvesters and Agricultural Implements was estimated by considering different operational parameters such as tractor power, field condition, depth of operation, soil condition, tractor type, operational capacity of machine, width of operation and speed. Technical standards were used to estimate different types of power required for most Agricultural operations (drawbar power, rotary power and motion power). The standards were then used to evaluate the variability of the fuel and lubricant consumption as well as depreciated weight of the Implements by varying the aforementioned parameters. Results and discussion The results were compared to those that can be calculated with other approaches for life cycle inventory analysis of Agricultural operations. Such comparison indicates that by using different parameters, representing the diverse local conditions of different field operations, a great variability of the results is obtained. For instance, diesel fuel consumption of tillage operations ranges from 12.6 to 76.0 L ha^−1, with an average of 34.15 L ha^−1 and standard deviation of 11.7 L ha^−1. Such representativeness of the different conditions of each field operation cannot be modelled with other tools or via the use of standard LCI datasheets. Conclusions The final result of this study is a novel approach for the life cycle inventory analysis of Agricultural operations, in terms of fuel and lubricant consumption and of depreciated weight of the machines, which are estimated by simply selecting the operational parameters which best represent the effect of local conditions.

Eduardo Vila Goncalves Filho - One of the best experts on this subject based on the ideXlab platform.

  • annualized hours as a capacity planning tool in make to order or assemble to order environment an Agricultural Implements company case
    Production Planning & Control, 2001
    Co-Authors: Eduardo Vila Goncalves Filho, Josadak Astorino Marcola
    Abstract:

    Capacity planning is one of the most important elements for an efficient production planning and control system. It is even more important when the main strategies to fulfil sales requirements are make-to-order (MTO) or assemble-to-order (ATO). Neither MTO or ATO companies keep finished products in stock which means that production level is driven by actual sales figures. Therefore, it is very important to have an available capacity as flexible as possible to meet sales requirements. Annualized hours (AH) is a work time control system that helps in increasing the flexibility of available capacity. The main rule of the AH system is to hire employees to work a certain number of hours on a yearly basis. Following some other pre-defined rules and limits, the AH system allows a company to adjust weekly available time in order to reduce idle capacity or to fulfil requirements that could mean overtime. This paper proposes a linear programming model to plan the operations using AH. This model has been implemented...

A Ozmerzi - One of the best experts on this subject based on the ideXlab platform.

  • energy use pattern of some field crops and vegetable production case study for antalya region turkey
    Energy Conversion and Management, 2005
    Co-Authors: Murad Canakci, Mehmet Topakci, Ibrahim Akinci, A Ozmerzi
    Abstract:

    This research examines the energy use patterns and energy input–output analysis of some field crops (wheat, cotton, maize, sesame) and vegetables (tomato, melon, watermelon) widely grown in the Antalya region, which is one of the most important Agricultural centres in Turkey. Operational inputs and energy sources for cultivating the field crops and vegetables were determined by a questionnaire applied to 102 farmers from nine villages, which were selected according to their regional properties. Basic operational parameters, such as draft force and power take off torque of Agricultural Implements, were measured by using a computer based data acquisition system. The highest value of the operational inputs was found to be 17,629.5 MJ ha−1 for tomato cultivation, followed by cotton crop at 14,348.9 MJ ha−1 and, finally, wheat crop at 3735.4 MJ ha−1. In these operational inputs, the highest energy requirements were found for seedbed preparation and irrigation with shares of 13.7–65.1% and 26.3–40.4%, respectively. In the total energy inputs, the maximum energy requirements were determined for cultivating the tomato and cotton crops with values of 45,596.5 MJ ha−1 and 34,891.2 MJ ha−1, respectively. In these energy sources, fertilizer and Diesel inputs contained the highest energy with ranges of 40.1–54.1% and 17.4–43.1%, respectively. The values of specific energy and energy ratio for cultivating wheat, cotton, maize, second crop sesame, tomato, melon and watermelon crops were calculated at 5.24 MJ kg−1 and 2.8, 11.24 MJ kg−1 and 4.8, 3.88 MJ kg−1 and 3.8, 16.21 MJ kg−1 and 1.5, 1.14 MJ kg−1 and 0.7, 0.98 MJ kg−1 and 1.9 and 0.97 MJ kg−1 and 2.0, respectively.

Jian-qiao Li - One of the best experts on this subject based on the ideXlab platform.

  • Review on application of biomimetics in the design of Agricultural Implements
    Biotechnology and Molecular Biology Reviews, 2009
    Co-Authors: Benard Chirende, Jian-qiao Li
    Abstract:

    This paper aims at reviewing the application of biomimetics in design of Agricultural Implements. Most of the biomimetic works done were aimed at investigating the effect of non-smooth surfaces on soil resistance based on soil burrowing animals. The characteristics of soil-burrowing animals for improved soil scouring and their mechanism for reducing soil adhesion and friction are discussed. From past research works, it can be concluded that non-smooth surfaces can generally reduce soil resistance however the extent of reduction is still a gray area. The main factors affecting soil adhesion like the nature and properties of the soil, the properties of the soil-engaging component surfaces and the experimental conditions which are difficult to replicate, could be the explanation for inconsistencies in the extent of soil resistance reduction. Generally, when applying the concept of non-smooth surfaces in biomimetic implement design, general factors considered in arranging non-smooth structures are distribution of normal stresses, choice of non-smooth type and material, soil motion tracks during operation and choice of non-smooth convex parameters.