A Network Model for Time Management in Overhaul of Sugarcane Harvester

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ZAKI DIZAJI H.; MONJEZI N.

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Journal: JOURNAL OF AGRICULTURAL MACHINERY Year:2019 | Volume:8 | Issue:2 Page(s): 403-412

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Information Journal Paper

Title

A Network Model for Time Management in Overhaul of Sugarcane Harvester

Author(s)

ZAKI DIZAJI H. | MONJEZI N. | Issue Writer Certificate

Keywords

Amir-Kabir Agro-IndustryQ1

GERT methodQ1

SchedulingQ1

Work Breakdowns Structure (WBS)Q1

Abstract

Introduction Mechanized harvesting of sugarcane by harvesters and the lack of proper management of harvesting, increase the cost of production and eventually become unprofitable. In the case of sugarcane harvester, because the systems are used to be repaired, increasing in system consumption will reduce machine reliability (Failure rate will increase). So, timely annual overhaul has effective role in enhancing the reliability of sugarcane harvesting machines. Because of time importance indicator for reducing timeliness cost and work breakdown, project Scheduling techniques and work study especially network models are used. In this study, because of the ability of GERT networks capabilities in planning and Scheduling, GERT networks were used and overhaul Scheduling of sugarcane harvester in Amir Kabir Agro-Industry of Khuzestan province, Iran as a case study was analyzed. Materials and Methods The study was carried out in Khuzestan province of Iran in 2016. Data were collected from variety sources such as opinions and comments of experts and reports and statistics of Sugarcane Agro-Industry. All activity times are given in hour. At first, the project activities are determined and the work breakdown structure was drawn. Finally, GERT network was plotted and analyzed. GERT is a procedure, which combines the disciplines of the flow graph theory, Moment Generating Function (MGF) and Project Evaluation and Review Technique (PERT) for analyzing stochastic networks having logical nodes and directed branches. Each branch has a probability that the activity associated with it will be performed. Therefore, GERT provides a visual picture of the system by means of the corresponding graph and makes it possible to analyze the given system in a less inductive manner. The following steps are employed, when applying GERT: 1. Convert a qualitative description of a system or problem to a model in a stochastic network form. 2. Collect the necessary data to describe the transmittances of the network. 3. Apply Mason’ s rule to determine the equivalent function or functions of the network. 4. Convert the equivalent function into the following two performance measures of the network: (a) The probability that a specific node is realized. (b) The moment generating function of the time associated with a node, if it is realized. 5. Make inferences concerning the system under study from the information obtained in the Step 4. Results and Discussion In this paper the GERT method has been presented for operations modeling in overhaul sugarcane harvester. Correct Scheduling of the agricultural mechanization project (overhaul) is the required condition for the project success therefore the GERT network of overhaul sugarcane harvester was plotted. A network is a powerful tool for Scheduling and simulating a project. The project network is defined as a set of activities performed according to the precedence constraint of the activities. The advantage of the GERT network in the present context is twofold. Firstly, this procedure gives the visual picture of the inspection system and secondly, it enables a thorough characterization of overhaul sugarcane harvester. In this project, after defining activities, we estimate for each activity as a time. Then we solved the network with the GERT method. According to the materials and methods, the probability and mean of the completion time of overhaul sugarcane harvester obtained. The worth of different parts of the network is calculated. For each node, to conclude about the probability and mean can use the above procedure and predict various events during operations. So with due attention to certain events that are occurring in the tracks of operation, good decisions can be adopted. Time completion of overhaul Scheduling of the sugarcane harvester is equal to 1164. 64 man-hours. Results showed that the network model is increasingly powerful tool to help project manager who could able to make optimum decision. Conclusions Optimized overhaul planning is a fundamental activity in business profitability because it can increase the returns from an operation with low additional costs. In this paper, a specific Scheduling model for an overhaul operations Scheduling is developed along with an optimal solution GERT method. The purpose of this paper is studying the application of project Scheduling in agriculture, for overhaul Scheduling of sugarcane harvester using GERT method in Khuzestan province of Iran. Time completion of overhaul Scheduling of sugarcane harvester is equal to 1164. 64 man-hours.

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APA: Copy

ZAKI DIZAJI, H., & MONJEZI, N.. (2019). A Network Model for Time Management in Overhaul of Sugarcane Harvester. JOURNAL OF AGRICULTURAL MACHINERY, 8(2 ), 403-412. SID. https://sid.ir/paper/201412/en

Vancouver: Copy

ZAKI DIZAJI H., MONJEZI N.. A Network Model for Time Management in Overhaul of Sugarcane Harvester. JOURNAL OF AGRICULTURAL MACHINERY[Internet]. 2019;8(2 ):403-412. Available from: https://sid.ir/paper/201412/en

IEEE: Copy

H. ZAKI DIZAJI, and N. MONJEZI, “A Network Model for Time Management in Overhaul of Sugarcane Harvester,” JOURNAL OF AGRICULTURAL MACHINERY, vol. 8, no. 2 , pp. 403–412, 2019, [Online]. Available: https://sid.ir/paper/201412/en

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