IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v9y2015i9p68.html
   My bibliography  Save this article

Optimization Production Planning Using Fuzzy Goal Programming Techniques

Author

Listed:
  • Houshang Taghizadeh
  • Ardeshir Bazrkar
  • Mohammad Abedzadeh

Abstract

In the past two decades, ideal planning has been used for the multiple criteria decision making problem solving.The issue is raised here is that how to do a program to achieve the best and most comprehensive program that it haswell run ability? Because of costly medical equipment production process, it should pay more attention toproduction planning. In this research, this was carried out in the company’s beta; we are looking to fulfill twoobjectives, reducing the cost of production, increase revenue leading to increased profits. For the realization ofthese goals, we use the method of fuzzy planning, according to studies, we use simple collective models andcollective weighted method. According to the existing information and problem variables and TIVARY model,we find that the model leads to production costs and increasing income. According to the results of the research, werealized that for the realization of the Beta purposes, we should use TIVARY collective method. This study hasexpanded the discussion of optimization production planning using fuzzy goal programming techniques. Goalprogramming was used in various issues such as decision making. The most important goal programmingrestrictions is unclear goals. Fuzzy goal programming provided, it investigate fuzzy purpose in unknown level.

Suggested Citation

  • Houshang Taghizadeh & Ardeshir Bazrkar & Mohammad Abedzadeh, 2015. "Optimization Production Planning Using Fuzzy Goal Programming Techniques," Modern Applied Science, Canadian Center of Science and Education, vol. 9(9), pages 1-68, September.
    • Handle: RePEc:ibn:masjnl:v:9:y:2015:i:9:p:68
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/50937/27382
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/50937
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Akoz, Onur & Petrovic, Dobrila, 2007. "A fuzzy goal programming method with imprecise goal hierarchy," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1427-1433, September.
    2. Chen, Liang-Hsuan & Tsai, Feng-Chou, 2001. "Fuzzy goal programming with different importance and priorities," European Journal of Operational Research, Elsevier, vol. 133(3), pages 548-556, September.
    3. Aouni, Belaid & Kettani, Ossama, 2001. "Goal programming model: A glorious history and a promising future," European Journal of Operational Research, Elsevier, vol. 133(2), pages 225-231, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Teg Alam, 2023. "Sustainable Multi-Objective Production Planning for the Refrigerating and Air Conditioning Industry in Saudi Arabia: A Preemptive Goal Programming Approach," Sustainability, MDPI, vol. 15(4), pages 1-16, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fahimnia, Behnam & Jabbarzadeh, Armin, 2016. "Marrying supply chain sustainability and resilience: A match made in heaven," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 306-324.
    2. Alireza Azimian & Belaid Aouni, 2017. "Supply chain management through the stochastic goal programming model," Annals of Operations Research, Springer, vol. 251(1), pages 351-365, April.
    3. Lotfi, M.M. & Torabi, S.A., 2011. "A fuzzy goal programming approach for mid-term assortment planning in supermarkets," European Journal of Operational Research, Elsevier, vol. 213(2), pages 430-441, September.
    4. Cinzia Colapinto & Raja Jayaraman & Simone Marsiglio, 2017. "Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review," Annals of Operations Research, Springer, vol. 251(1), pages 7-40, April.
    5. Nurullah Umarusman, 2018. "Fuzzy Goal Programming Problem Based on Minmax Approach for Optimal System Design," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 6(1), pages 177-192, June.
    6. Li, Shaoyuan & Hu, Chaofang, 2009. "Satisfying optimization method based on goal programming for fuzzy multiple objective optimization problem," European Journal of Operational Research, Elsevier, vol. 197(2), pages 675-684, September.
    7. Jiae Zhang & Jianjun Yang, 2016. "Flexible job-shop scheduling with flexible workdays, preemption, overlapping in operations and satisfaction criteria: an industrial application," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4894-4918, August.
    8. Wilson, Duncan T. & Hawe, Glenn I. & Coates, Graham & Crouch, Roger S., 2013. "A multi-objective combinatorial model of casualty processing in major incident response," European Journal of Operational Research, Elsevier, vol. 230(3), pages 643-655.
    9. D Petrovic & O Aköz, 2008. "A fuzzy goal programming approach to integrated loading and scheduling of a batch processing machine," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1211-1219, September.
    10. Zgajnar, Jaka & Kavcic, Stane, 2011. "Weighted Goal Programming and Penalty Functions: Whole-farm Planning Approach Under Risk," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 118033, European Association of Agricultural Economists.
    11. Shalini Kumari & Sasadhar Bera, 2023. "Developing an emission risk control model in coal‐fired power plants for investigating CO2 reduction strategies for sustainable business development," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 842-857, January.
    12. Aouni, Belaid & Ben Abdelaziz, Foued & Martel, Jean-Marc, 2005. "Decision-maker's preferences modeling in the stochastic goal programming," European Journal of Operational Research, Elsevier, vol. 162(3), pages 610-618, May.
    13. Abdul Sattar Safaei & Saba Farsad & Mohammad Mahdi Paydar, 2020. "Emergency logistics planning under supply risk and demand uncertainty," Operational Research, Springer, vol. 20(3), pages 1437-1460, September.
    14. Akoz, Onur & Petrovic, Dobrila, 2007. "A fuzzy goal programming method with imprecise goal hierarchy," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1427-1433, September.
    15. Sharma, Dinesh K. & Jana, R.K., 2009. "A hybrid genetic algorithm model for transshipment management decisions," International Journal of Production Economics, Elsevier, vol. 122(2), pages 703-713, December.
    16. Ramtin Joolaie & Ahmad Abedi Sarvestani & Fatemeh Taheri & Steven Van Passel & Hossein Azadi, 2017. "Sustainable cropping pattern in North Iran: application of fuzzy goal programming," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2199-2216, December.
    17. Olga Lingaitienė & Juozas Merkevičius & Vida Davidavičienė, 2021. "The Model of Vehicle and Route Selection for Energy Saving," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    18. K. Taghizadeh & M. Bagherpour & I. Mahdavi, 2011. "An interactive fuzzy goal programming approach for multi-period multi-product production planning problem," Fuzzy Information and Engineering, Springer, vol. 3(4), pages 393-410, December.
    19. Ioannis Giannikos, 2010. "Fuzzy goal programming models for analyzing demand coverage," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 185-202, July.
    20. M. Ortuño & G. Tirado & B. Vitoriano, 2011. "A lexicographical goal programming based decision support system for logistics of Humanitarian Aid," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(2), pages 464-479, December.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:masjnl:v:9:y:2015:i:9:p:68. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.