Identifying and Prioritizing the Effective Parameters on Lack of Timeliness of Operations of Sugarcane Production using Analytical Hierarchy Process (AHP)

ماشین های کشاورزی

Article 16, Volume 7, Issue 2 - Serial Number 14, 2017, Pages 514-526   

Document Type: Research Article

DOI: 10.22067/jam.v7i2.52521

Authors

N. Monjezi^{* 1}; M. J. Sheikhdavoodi¹; H. Zaki Dizaji¹; A. Marzban²; M. Shomeili³

¹Department of Agricultural Machinery, Faculty of Agriculture, Shahid Chamran University of Ahvaz, Iran

²Department of Agricultural Machinery, Ramin Agriculture and Natural Resources University, Mollasani, Ahvaz, Iran

³Agronomy Department in Iranian Sugarcane Research and Training Institute, Iran

Abstract

Introduction
Planning and scheduling of farming mechanized operations is very important. If the operation is not performed on time, yield will be reduced. Also for sugarcane, any delay in crop planting and harvesting operations reduces the yield. The most useful priority setting method for agricultural projects is the analytic hierarchy process (AHP). So, this article presents an introductry application manner of the Analytical Hierarchy Process (AHP) as a mostly common method of setting agricultural projects priorities. Analytic Hierarchy process (AHP) is a decision making algorithm developed by Dr. Saatyin 1980. It has many applications as documented in Decision Support System literature. Currently, this technique is widely used in complicated management decision makings which AHP was preferred from other established methodologies as it does not demand prior knowledge of the utility function; it is based on a hierarchy of criteria and attributes reflecting the understanding of the problem, and finally, because it allows relative and absolute comparisons, thus making this method a very robust tool. The purpose of this research is to identify and prioritize the effective parameters on lack of timeliness of operations of sugarcane production using AHP in Khuzestan province of Iran.
Materials and Methods
The effective parameters effecting on lack of timeliness of operations have been defined based on expert’s opinions. A questionnaire and personal interviews have formed the basis of this research. The study was applied to a panel of qualified informants made up of fourteen experts. Those interviewed were distributed in Sugarcane Development and By-products Company in 2013-2014. Then, by using the Analytical hierarchy process, a questionnaire was designed for defining the weight and importance of parameters affecting on lack of timeliness of operations. For this method of evaluation, three main criteria considered were yield criteria, cost criteria and income criteria. Criterions and prioritizing of them was done by questionnaire and interview with sophisticated experts. This technique determined and ranked the importance of criteria affecting on lack of timeliness of operations based on attributing relative weights to factors with respect to comments provided in the questionnaires. By using of software (Expert choice) Analytical Hierarchy Process was done and the inconsistency rate on expert judgments was investigated. Expert Choice software (Expert Choice 1999) was applied to examine the structure of the proposed model and achieve synthesis/ graphical results considering inconsistency ratios.
Results and Discussion
The Expert Choice software performed well in conjunction with the panel of experts for choosing the criteria and assigning weights under the AHP methodology. According to results, effective parameters on lack of timeliness of operations of sugarcane production consist of delays caused by management, delays caused by human, delays caused by machine and delays caused by procedure (the production process).Weight of criteria effective factors (yield, cost and income) on lack of timeliness of operations obtained from paired comparison in the experts’ view which has been calculated with Expert choice software. The result of this survey by AHP techniques showed that cost criteria had the most and income criteria had the least importance for expert in sugarcane production. In this stage of research, alternatives paired comparison relative to criteria was separately formed and information of questionnaire which relates to paired comparison of criteria was obtained. Between effective parameters on lack of timeliness of operations, machine factors to 0.366 weighted average was the most effective factor and production process to 0.298 weighted average, management factors to 0.177 weighted average and human factors to 0.160 weighted average was later respectively (Inconsistence Rate =0.03). The results are examined by monitoring sensitivity analysis while changing the criteria priorities. Since different judgments are made on comparison of criteria, we use sensitivity analysis in order to provide stability and consistence of analysis. With increase or decrease of the criteria, we will conclude that ratio of other indices will not change.
Conclusion
The analytic hierarchy process, as developed by Saaty, has been successfully applied in recent research to cases of agricultural project. This paper looks at AHP as a tool used in Sugarcane Agro-Industries to help in decision making. Results showed that criteria studied in this research can help prioritizing the effective parameters on lack of timeliness of operations of sugarcane production. Cost criteria are the main criteria effective on lack of timeliness operations of sugarcane production. The most important factor is machine factor.

Keywords

Analytical Hierarchy Process (AHP); Lack of timeliness operations; Sugarcane

References

1. Abdi, R., H. R. Ghasemzadeh, S. H. Abdollahpour, M. Sabzehparvar, and A. Dabbagh Mohamadinasb. 2010. Modeling and Analysis of Alfalfa Mechanization Project Process by GERT Networks. Journal of sustainable agriculture and production science 19 (1): 157-169. (In Farsi).

2. Al-Kharashi, A., and M. Skitmore. 2009. Causes of delays in Saudi Arabian public sector construction projects. Construction Management and Economics 27 (1): 3-23.

3. Almasi, M., S. H. Kiani, and N. Loveimi. 2008. Principles of agricultural mechanization. Fourth edition, Jangal press, Tehran, 293 p. (In Farsi).

4. Barat shoushtari, M., S. Ahmadian, and G. H. Asfia. 2009. Sugarcane in Iran. First edition, Press Aeizh, 367p. (In Farsi).

5. Daniel, J., V. R. Nandigana, B. Albert, and I. Selvarsan. 2010. Evaluation of the Significant Renewable Energy Resources in India Using Analytical Hierarchy Process, Springer Physica-Verlag Berlin Heidelberg. http://www.springer.com/978-3-642-04044-3.

6. De toro, A. 2004. Assessment of field machinery performance in variable weather conditions using discrete event simulation. Ph.D. thesis. Swedish University of Agricultural Sciences, Uppsala.

7. De toro, A. 2005. Influences on timeliness costs and their variability on arable farms. Biosystems Engineering 80 (3): 19-35.

8. De toro, A., and P. A. Hansson. 2004. Analysis of field machinery performance based on daily soil workability status using discrete event simulation or on average workday probability. Agricultural Systems 79: 109-129.

9. Doloi, H., A. Sawhney, K. C. Iyer, and S. Rentala. 2012. Analysing factors affecting delays in Indian construction projects. International Journal of Project Management 30 (2): 479-489.

10. Ghodsi Pour, H. 2006. Analytical Hierarchy Process (AHP). Tehran, Amirkabir University of Technology.

11. Han, S. H., S. Yun, H. Kim, Y. H. Kwak, H. K. Park, and S. H. Lee. 2009. Analyzing schedule delay of mega project: lessons learned from Korea Train Express. IEEE Transactions on Engineering Management 56 (1): 243-256.

12. Marrit, M., and K. Martin. 2007. The impact of increasing farm size and mechanization on rural income and rice production in Zhejiang province. Agricultural Systems 4: 123-129.

13. Mohammadiyeghaneh, B., and A. Nabati. 2014. Analysis of obstacles to agricultural development in rural areas using AHP (A Case Study: Rural Karany- city of Bijar). Journal of Geographic Space 44: 135-152. (In Farsi).

14. Moradi, M. 2006. Survey analyzing methods of projects delay. 6th international project management conference, Tehran 2: 33-42.

15. Omrani, A. 2013. Evaluation of Farm machinery management in sugarcane cultivation (case study Amir Kabir Agro-Industry). M. Sc. Thesis. Faculty of Agriculture. Shahid Chamran University of Ahvaz. (In Farsi).

16. Omrani, A., M. J. Sheikhdavoodi, and M. Shomeili. 2013. Determine Sugarcane harvester field efficiency using global positioning system (GPS) data. Elixir Agriculture 56: 13260-13263.

17. Pishbin, S., H. Mohammadi, and A. Zakerin. 2008. Determination of timeliness cost of machine operation in different stages of sugar beet production in Fars province. Journal of Sugar Beet 24 (2): 93-108. (In Farsi).

18. Pishbin, S., H. Mohammadi, and A. Zakerin. 2009. Factors affecting the probability of delayed of machine operation at different stages sugar beet production in Fars province. Journal of Sugar Beet 25 (1): 87-95. (In Farsi).

19. Pourtaheri, M. 2006. Multi-criteria decision-making methods in geography. SAMT-publications.

20. Puzesh, M., S. S. Mohtasebi, and H. Ahmadi. 2010. Predicting suitable workday and timeliness cost considering to reliability of machinery in Deabel Khazei sugarcane agro industry, proceeding of agricultural machinery and mechanization engineering. (In Farsi).

21. Rezaei moghaddam, M., and E. Karami. 2008. A multiple criteria evaluation of sustainable agricultural development models using AHP. Environment, Development and Sustainability 10: 407-426. (In Farsi).

22. Sharifi, M., A. Akram, Sh. Rafiee, and M. Sabzehparvar. 2014. Prioritize strategic agricultural products Alborz province by using AHP and Delfi-fuzzy method. Journal of Agricultural Machinery 4 (1): 116-124. (In Farsi).

23. Shomeili, M. 2012. Evaluation of agricultural wastes produced during operation of sugarcane production. CD Proceedings of the 7th conference of Iranian sugar cane technologists. February 21-23. Iran, Ahvaz. (In Farsi).