IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v60y2023i1d10.1007_s12597-023-00622-7.html
   My bibliography  Save this article

Selection of conventional preservation technologies using analytical hierarchy process

Author

Listed:
  • Hailemariam Gebru

    (Materials Science and Engineering Directorate, Bio and Emerging Technology Institute)

  • Baba Abdissa

    (Materials Science and Engineering Directorate, Bio and Emerging Technology Institute)

  • Betelhem Addis

    (Technology and Innovation Institute)

  • Sisay Alebachew

    (Technology and Innovation Institute)

  • Abaysew Ayele

    (Armauer Hansen Research Institute (AHRI))

Abstract

Vegetable crop quality loss commences right along the route of harvesting, transportation, storage, and delivery to consumers. Despite the huge postharvest loss of horticultural crops recorded, no reports have been disclosed on alternative preservation technologies in Ethiopia. Herein, an analytical hierarchy process was employed to select the best food preservation technology. Pairwise comparison of the criteria with respect to the goal was performed based on the suggestion’s food technology experts. Considering the economic feasibility and personal skill, fermentation (29.0%) took the greatest weight followed by the hot water treatment technique (27.3%). Likewise, those techniques for tomato preservation in different ways like solar dryer, cold house storage, and modified atmosphere packaging account for 20.7%, 15.6%, and 7.3% respectively. This finding would serve as input data for small to large holding farmers, retailers, investors as well as stakeholders in the food processing sector and support the sustainable development intent.

Suggested Citation

  • Hailemariam Gebru & Baba Abdissa & Betelhem Addis & Sisay Alebachew & Abaysew Ayele, 2023. "Selection of conventional preservation technologies using analytical hierarchy process," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 217-233, March.
    • Handle: RePEc:spr:opsear:v:60:y:2023:i:1:d:10.1007_s12597-023-00622-7
    DOI: 10.1007/s12597-023-00622-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-023-00622-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12597-023-00622-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Silvia Carpitella & Ilyas Mzougui & Joaquín Izquierdo, 2022. "Multi-criteria risk classification to enhance complex supply networks performance," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 769-785, September.
    2. Johnson, Lisa K. & Bloom, J. Dara & Dunning, Rebecca D. & Gunter, Chris C. & Boyette, Michael D. & Creamer, Nancy G., 2019. "Farmer harvest decisions and vegetable loss in primary production," Agricultural Systems, Elsevier, vol. 176(C).
    3. Lenin, Vera-Montenegro & Baviera-Puig, Amparo & García-Álvarez-Coque, José-María, 2014. "Multi-Criteria Methodology: AHP and Fuzzy Logic in the Selection of Post-Harvest Technology for Smallholder Cocoa Production," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(2), pages 1-18, May.
    4. Shivani Guru & D. K. Mahalik, 2019. "A comparative study on performance measurement of Indian public sector banks using AHP-TOPSIS and AHP-grey relational analysis," OPSEARCH, Springer;Operational Research Society of India, vol. 56(4), pages 1213-1239, December.
    5. Feng Lin & Peng Wu & Jinzhao Shi & Jia Tao & Xingxuan Zhuo, 2022. "Impacts of expiration date on optimal ordering policy for deteriorating items under two-level trade credit: Quantity loss and quality loss," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(6), pages 1393-1410, June.
    6. Chaitanyakumar N. Rapolu & Deepa H. Kandpal, 2020. "Joint pricing, advertisement, preservation technology investment and inventory policies for non-instantaneous deteriorating items under trade credit," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 274-300, June.
    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. Oratilwe Penwell Mokoena & Thembelihle Sam Ntuli & Tshepo Ramarumo & Solly Matshonisa Seeletse, 2023. "Sustainability of Rural Small-Scale Farmers Using a Thematic Content-Fed Analytic Hierarchy Process," Sustainability, MDPI, vol. 15(15), pages 1-22, August.

    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. Sabine Ludwig-Ohm & Walter Dirksmeyer & Kathrin Klockgether, 2019. "Approaches to Reduce Food Losses in German Fruit and Vegetable Production," Sustainability, MDPI, vol. 11(23), pages 1-21, November.
    2. Ravindra Singh Saluja & Varinder Singh, 2023. "Attribute-based characterization, coding, and selection of joining processes using a novel MADM approach," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 616-655, June.
    3. Ajoy Hatibaruah & Sumit Saha, 2023. "An inventory model for two-parameter Weibull distributed ameliorating and deteriorating items with stock and advertisement frequency dependent demand under trade credit and preservation technology," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 951-1002, June.
    4. Huanhuan Zhao & Yunbo Yu & Sunping Qu & Yong Liu, 2022. "A Grey Incidence Based Group Decision-Making Approach and Its Application," Mathematics, MDPI, vol. 10(7), pages 1-13, March.
    5. Trebbin, Anika & Herzberg, Ronja & Schneider, Felicitas, 2023. "Lebensmittelverluste bei Obst und Gemüse – die Rolle von Qualitätsanforderungen und Unternehmenspraktiken des Lebensmitteleinzelhandels," Thünen Working Paper 334338, Johann Heinrich von Thünen-Institut (vTI), Federal Research Institute for Rural Areas, Forestry and Fisheries.
    6. Snežana Tadić & Mladen Krstić & Violeta Roso & Nikolina Brnjac, 2020. "Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    7. Kelsey D. Meagher & Anne Gillman & David C. Campbell & Edward S. Spang, 2020. "Relational and Logistical Dimensions of Agricultural Food Recovery: Evidence from California Growers and Recovery Organizations," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    8. Trebbin, Anika & Herzberg, Ronja & Schneider, Felicitas, 2023. "Lebensmittelverluste bei Obst und Gemüse - Die Rolle von Qualitätsanforderungen und Unternehmenspraktiken des Lebensmitteleinzelhandels," Thünen Working Papers 202, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.
    9. Mrudul Y. Jani & Heta A. Patel & Amrita Bhadoriya & Urmila Chaudhari & Mohamed Abbas & Malak S. Alqahtani, 2023. "Deterioration Control Decision Support System for the Retailer during Availability of Trade Credit and Shortages," Mathematics, MDPI, vol. 11(3), pages 1-27, January.
    10. R. Sundararajan & M. Palanivel & S. Vaithyasubramanian, 2023. "On the EOQ Models with Advertisement-Price-Dependent Demand and Quantity Discount with Expiration Date Under Shortage," SN Operations Research Forum, Springer, vol. 4(4), pages 1-31, December.
    11. Elena Gazzea & Péter Batáry & Lorenzo Marini, 2023. "Global meta-analysis shows reduced quality of food crops under inadequate animal pollination," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    12. Rosalinda Nicastro & Petronia Carillo, 2021. "Food Loss and Waste Prevention Strategies from Farm to Fork," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
    13. Nita H. Shah & Pratik H. Shah & Milan B. Patel, 2021. "Retailer’s inventory decisions with promotional efforts and preservation technology investments when supplier offers quantity discounts," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 1116-1132, December.
    14. Gaurav Nagpal & Udayan Chanda & Himanshu Seth & Namita Ruparel, 2022. "Inventory Replenishment Policies for Two Successive Generations of Technology Products Under Permissible Delay in Payments," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(1), pages 1-29, January.
    15. Ren Jie Zhang & Brian Lee & Hung-Hao Chang, 2019. "What Is Missing in Food Loss and Waste Analyses? A Close Look at Fruit and Vegetable Wholesale Markets," Sustainability, MDPI, vol. 11(24), pages 1-13, December.
    16. Alaa Fouad Momena & Rakibul Haque & Mostafijur Rahaman & Sankar Prasad Mondal, 2023. "A Two-Storage Inventory Model with Trade Credit Policy and Time-Varying Holding Cost under Quantity Discounts," Logistics, MDPI, vol. 7(4), pages 1-25, October.
    17. Yakup Çelikbilek & Sarbast Moslem, 2023. "A grey multi criteria decision making application for analyzing the essential reasons of recurrent lane change," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 916-941, June.
    18. Jana Stofkova & Matej Krejnus & Katarina Repkova Stofkova & Peter Malega & Vladimira Binasova, 2022. "Use of the Analytic Hierarchy Process and Selected Methods in the Managerial Decision-Making Process in the Context of Sustainable Development," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    19. Zhao, Laijun & Li, Deqiang & Guo, Xiaopeng & Xue, Jian & Wang, Chenchen & Sun, Wenjun, 2021. "Cooperation risk of oil and gas resources between China and the countries along the Belt and Road," Energy, Elsevier, vol. 227(C).

    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:spr:opsear:v:60:y:2023:i:1:d:10.1007_s12597-023-00622-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.