Research Article
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Performance-Based Shelf Space Plan Evaluation for Enhanced Retail Efficiency

Year 2025, Volume: 59 Issue: 3, 575 - 588, 21.07.2025
https://doi.org/10.51551/verimlilik.1612427

Abstract

Purpose: The purpose of this paper is to introduce a performance-based planogram evaluation method to address the gap in research regarding the effectiveness of planogram implementation over time and across different retail stores.
Methodology: The study employs Mamdani Fuzzy Rule-Based Systems (FRBS) to manage uncertainties in planogram planning and execution. The methodology involves defining evaluation criteria, gathering data from literature and expert opinions, and processing this data through fuzzy operators within the FRBS.
Findings: The performance-based planogram evaluation method offers a nuanced perspective beyond traditional conformance-based evaluations. The Mamdani FRBS allows flexibility in adjusting the shelf layout based on real-world conditions, improving the understanding of planogram performance over time and across locations.
Originality: This paper introduces a fuzzy rule-based system for planogram evaluation, capturing retail environment uncertainties. The framework provides a novel approach to evaluating planogram performance, offering valuable insights for enhancing retail operations and customer experience. The performance-based evaluation score enables informed decision-making that aligns with planning goals.

Supporting Institution

TUBİTAK

Project Number

7140889

References

  • ACNielsen, Karolefski, J. and Heller, A. (2012). “Consumer-Centric Category Management”, John Wiley & Sons, Inc. https://doi.org/10.1002/9781119201632
  • Bianchi-Aguiar, T., Hübner, A., Carravilla, M.A. and Oliveira, J.F. (2021). “Retail Shelf Space Planning Problems: A Comprehensive Review and Classification Framework”, European Journal of Operational Research, 289(1), 1-16. https://doi.org/10.1016/j.ejor.2020.06.018
  • Campo, K., Gijsbrechts, E., Goossens, T. and Verhetsel, A. (2000). “The Impact of Location Factors on the Attractiveness and Optimal Space Shares of Product Categories”, International Journal of Research in Marketing, 17(4), 255-279. https://doi.org/10.1016/S0167-8116(00)00026-4
  • Corstjens, M. and Doyle, P. (1981). “A Model for Optimizing Retail Space Allocations”, Management Science, 27(7), 822-833. https://doi.org/10.1287/mnsc.27.7.822
  • Curhan, R.C. (1972). “The Relationship between Shelf Space and Unit Sales in Supermarkets”, Journal of Marketing Research, 9(4), 406. https://doi.org/10.2307/3149304
  • Czerniachowska, K. (2022). “A Genetic Algorithm for the Retail Shelf Space Allocation Problem with Virtual Segments”, OPSEARCH, 59(1), 364-412. https://doi.org/10.1007/s12597-021-00551-3
  • Czerniachowska, K., Lutosławski, K. and Fojcik, M. (2022). “Heuristics for Shelf Space Allocation Problem with Vertical and Horizontal Product Categorization”, Procedia Computer Science, 207, 195-204. https://doi.org/10.1016/j.procs.2022.09.052
  • DeHoratius, N. and Ton, Z. (2015). “The Role of Execution in Managing Product Availability”, Retail Supply Chain Management: Quantitative Models and Empirical Studies (Editors: N. Agrawal, S.A. Smith), 53-77, Springer US. https://doi.org/10.1007/978-1-4899-7562-1_4
  • Drèze, X., Hoch, S.J. and Purk, M.E. (1994). “Shelf Management and Space Elasticity”, Journal of Retailing, 70(4), 301-326. https://doi.org/10.1016/0022-4359(94)90002-7
  • Dussart, C. (1998). “Category Management: Strengths, Limits and Developments”, European Management Journal, 16(1), 50-62. https://doi.org/10.1016/S0263-2373(97)00073-X
  • Edirisinghe, G.S. and Munson, C.L. (2023). “Strategic Rearrangement of Retail Shelf Space Allocations: Using Data Insights to Encourage Impulse Buying”, Expert Systems with Applications, 216, 119442. https://doi.org/10.1016/j.eswa.2022.119442
  • Eisend, M. (2014). “Shelf Space Elasticity: A Meta-Analysis”, Journal of Retailing, 90(2), 168-181. https://doi.org/10.1016/j.jretai.2013.03.003
  • Flamand, T., Ghoniem, A. and Maddah, B. (2016). “Promoting Impulse Buying by Allocating Retail Shelf Space to Grouped Product Categories”, Journal of the Operational Research Society, 67(7), 953-969. https://doi.org/10.1057/jors.2015.120
  • Flamand, T., Ghoniem, A. and Maddah, B. (2023). “Store-Wide Shelf-Space Allocation with Ripple Effects Driving Traffic”, Operations Research, 71(4), 1073-1092. https://doi.org/10.1287/opre.2023.2437
  • Gates, G. (2023). “Best Ways to Fix Poor Planogram Compliance”, Shopper Technology Institute, https://www.shoppertech.org/ap091211.html (Accessed: 03.01.2025)
  • Gecili, H. and Parikh, P.J. (2022). “Joint Shelf Design and Shelf Space Allocation Problem for Retailers”, Omega, 111, 102634. https://doi.org/10.1016/j.omega.2022.102634
  • Geismar, H.N., Dawande, M., Murthi, B.P.S. and Sriskandarajah, C. (2015). “Maximizing Revenue Through Two-Dimensional Shelf-Space Allocation”, Production and Operations Management, 24(7), 1148-1163. https://doi.org/10.1111/poms.12316
  • Guimarães, V., Nascimento, J., Viana, P. and Carvalho, P. (2023). “A Review of Recent Advances and Challenges in Grocery Label Detection and Recognition”, Applied Sciences, 13(5), 2871. https://doi.org/10.3390/app13052871
  • Hansen, J.M., Raut, S. and Swami, S. (2010). “Retail Shelf Allocation: A Comparative Analysis of Heuristic and Meta-Heuristic Approaches”, Journal of Retailing, 86(1), 94-105. https://doi.org/10.1016/j.jretai.2010.01.004
  • Hansen, P. and Heinsbroek, H. (1979). “Product Selection and Space Allocation in Supermarkets”, European Journal of Operational Research, 3(6), 474-484. https://doi.org/10.1016/0377-2217(79)90030-4
  • Hübner, A., Düsterhöft, T. and Ostermeier, M. (2021). “Shelf Space Dimensioning and Product Allocation in Retail Stores”, European Journal of Operational Research, 292(1), 155-171. https://doi.org/10.1016/j.ejor.2020.10.030
  • Hübner, A. and Kuhn, H. (2012). “Retail Category Management: State-of-the-Art Review of Quantitative Research and Software Applications in Assortment and Shelf Space Management”, Omega, 40(2), 199-209. https://doi.org/10.1016/j.omega.2011.05.008
  • Hübner, A. and Kuhn, H. (2023). “Decision Support for Managing Assortments, Shelf Space, and Replenishment in Retail”, Flexible Services and Manufacturing Journal, 36, 1-35. https://doi.org/10.1007/s10696-023-09492-z
  • Hübner, A., Schäfer, F. and Schaal, K.N. (2020). “Maximizing Profit via Assortment and Shelf‐Space Optimization for Two‐Dimensional Shelves”, Production and Operations Management, 29(3), 547-570. https://doi.org/10.1111/poms.13111
  • Kim, G. and Moon, I. (2021). “Integrated Planning for Product Selection, Shelf-Space Allocation, and Replenishment Decision with Elasticity and Positioning Effects”, Journal of Retailing and Consumer Services, 58, 102274. https://doi.org/10.1016/j.jretconser.2020.102274
  • Kök, A.G., Fisher, M.L. and Vaidyanathan, R. (2015). “Assortment Planning: Review of Literature and Industry Practice”. Retail Supply Chain Management. International Series in Operations Research & Management Science, (Editors: N. Agrawal, S. Smith), 223, 175-236, Springer, Boston, MA. https://doi.org/10.1007/978-1-4899- 7562-1_8
  • Laitala, J. and Ruotsalainen, L. (2023). “Computer Vision Based Planogram Compliance Evaluation”, Applied Sciences, 13(18), 10145. https://doi.org/10.3390/app131810145
  • Liu, S. and Tian, H. (2016). “Planogram Compliance Checking Using Recurring Patterns”, Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015, 27-32. https://doi.org/10.1109/ISM.2015.72
  • Magdalena, L. (2015). “Fuzzy Rule-Based Systems”, Springer Handbook of Computational Intelligence, (Editors: J. Kacprzyk, W. Pedrycz), 203-218, Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-43505-2_13
  • Mamdani, E.H. (1974). “Application of Fuzzy Algorithms for Control of Simple Dynamic Plant”, Proceedings of the Institution of Electrical Engineers, 121(12), 1585-1588. https://doi.org/10.1049/piee.1974.0328
  • Mantrala, M.K., Levy, M., Kahn, B.E., Fox, E.J., Gaidarev, P., Dankworth, B. and Shah, D. (2009). “Why is Assortment Planning So Difficult for Retailers? A Framework and Research Agenda”, Journal of Retailing, 85(1), 71-83. https://doi.org/10.1016/j.jretai.2008.11.006
  • MathWorks. (2023). “Fuzzy Inference Process (R2023b)”, https://www.mathworks.com/Help/fuzzy/fuzzy-inference-process.html. (Accessed: 03.01.2025)
  • Mou, S., Robb, D.J. and DeHoratius, N. (2018). “Retail store operations: Literature review and research directions”. European Journal of Operational Research, 265(2), 399–422. https://doi.org/10.1016/j.ejor.2017.07.003
  • Mowrey, C.H., Parikh, P.J., and Gue, K.R. (2019). “The Impact of Rack Layout on Visual Experience in A Retail Store”, INFOR: Information Systems and Operational Research, 57(1), 75-98. https://doi.org/10.1080/03155986.2017.1402475
  • Ostermeier, M., Düsterhöft, T. and Hübner, A. (2021). “A Model and Solution Approach for Store-Wide Shelf Space Allocation”, Omega, 102, 102425. https://doi.org/10.1016/j.omega.2021.102425
  • Raman, A., DeHoratius, N. and Ton, Z. (2001). “Execution: The Missing Link in Retail Operations”, California Management Review, 43(3). https://doi.org/10.2307/41166093
  • Reiner, G., Teller, C. and Kotzab, H. (2013). “Analyzing the Efficient Execution of In‐Store Logistics Processes in Grocery Retailing—The Case of Dairy Products”, Production and Operations Management, 22(4), 924-939. https://doi.org/10.1111/poms.12003
  • Rooderkerk, R.P., DeHoratius, N. and Musalem, A. (2022). “The Past, Present, and Future of Retail Analytics: Insights from A Survey of Academic Research and Interviews with Practitioners”, Production and Operations Management, 31(10), 3727-3748. https://doi.org/10.1111/poms.13811
  • Ross, T.J. (2010). Fuzzy Logic with Engineering Applications, Wiley. https://doi.org/10.1002/9781119994374
  • Santra, B. and Mukherjee, D.P. (2019). “A Comprehensive Survey on Computer Vision Based Approaches for Automatic Identification of Products in Retail Store”, Image and Vision Computing, 86, 45-63. https://doi.org/10.1016/j.imavis.2019.03.005
  • Saqlain, M., Rubab, S., Khan, M.M., Ali, N. and Ali, S. (2022). “Hybrid Approach for Shelf Monitoring and Planogram Compliance (Hyb-SMPC) in Retails Using Deep Learning and Computer Vision”, Mathematical Problems in Engineering, 2022, 916818. https://doi.org/10.1155/2022/4916818
  • Strategix. (2020). “Planogram Compliance Research Report 2020”, https://www.strategix.eu/wp-content/uploads/2020/07/Planogram-Compliance-Report-2020.pdf, (Accessed: 03.01.2025)
  • Urban, T.L. (1998). “An Inventory-Theoretic Approach to Product Assortment and Shelf-Space Allocation”, Journal of Retailing, 74(1), 15-35. https://doi.org/10.1016/S0022-4359(99)80086-4
  • van Woensel, T., van Donselaar, K., Broekmeulen, R. and Fransoo, J. (2007). “Consumer Responses to Shelf Out‐ of‐Stocks of Perishable Products”, International Journal of Physical Distribution & Logistics Management, 37(9), 704-718. https://doi.org/10.1108/09600030710840822
  • Wei, Y., Tran, S., Xu, S., Kang, B. and Springer, M. (2020). “Deep Learning for Retail Product Recognition: Challenges and Techniques”, Computational Intelligence and Neuroscience, 2020, 875910. https://doi.org/10.1155/2020/8875910
  • Yang, M-H. (2001). “An Efficient Algorithm to Allocate Shelf Space”, European Journal of Operational Research, 131(1), 107-118. https://doi.org/10.1016/S0377-2217(99)00448-8
  • Yücel, M.E. and Ünsalan, C. (2024). “Planogram Compliance Control via Object Detection, Sequence Alignment, and Focused Iterative Search”, Multimedia Tools and Applications. 83, 24815-24839. https://doi.org/10.1007/s11042-023-16427-1
  • Zufryden, F.S. (1986). “A Dynamic Programming Approach for Product Selection and Supermarket Shelf-Space Allocation”, Journal of the Operational Research Society, 37(4), 413-422. https://doi.org/10.1057/jors.1986.69

Performansa Dayalı Raf Alanı Planı Değerlendirmesi: Perakende Verimliliğini Artırma

Year 2025, Volume: 59 Issue: 3, 575 - 588, 21.07.2025
https://doi.org/10.51551/verimlilik.1612427

Abstract

Amaç: Bu çalışmanın amacı, planogram uygulamalarının zaman içindeki ve farklı perakende mağazalarındaki etkinliğini değerlendirmeye yönelik performansa dayalı bir planogram uygulama değerlendirme yöntemi sunmaktır.
Yöntem: Çalışma, planogram planlama ve uygulama sürecindeki belirsizlikleri yönetmek için Mamdani Bulanık Kural Tabanlı Sistemleri (FRBS) kullanmaktadır. Yöntem, değerlendirme kriterlerinin tanımlanması, literatür ve uzman görüşlerinden veri toplanması ve bu verilerin FRBS içindeki bulanık operatörlerle işlenmesini içermektedir.
Bulgular: Performansa dayalı planogram değerlendirme yöntemi, geleneksel uygunluk temelli değerlendirmelerin ötesine geçen bir bakış açısı sunmaktadır. Mamdani FRBS, raf düzeninin gerçek dünya koşullarına göre esnek bir şekilde ayarlanmasına olanak tanıyarak, planogram performansının zaman ve mekân açısından daha iyi anlaşılmasını sağlamaktadır.
Özgünlük: Bu makale, perakende ortamlarındaki belirsizlikleri yakalamak için planogram değerlendirmesi alanında bulanık kural tabanlı bir çerçeve ortaya koymaktadır. Çerçeve, planogram performansını değerlendirmenin yenilikçi bir yolunu sunarak, perakende operasyonlarını ve müşteri deneyimini geliştirmek için değerli iç görüler sağlamaktadır. Performansa dayalı değerlendirme puanı, planlama hedefleriyle uyumlu bilinçli kararlar alınmasını sağlar.

Supporting Institution

TUBİTAK

Project Number

7140889

References

  • ACNielsen, Karolefski, J. and Heller, A. (2012). “Consumer-Centric Category Management”, John Wiley & Sons, Inc. https://doi.org/10.1002/9781119201632
  • Bianchi-Aguiar, T., Hübner, A., Carravilla, M.A. and Oliveira, J.F. (2021). “Retail Shelf Space Planning Problems: A Comprehensive Review and Classification Framework”, European Journal of Operational Research, 289(1), 1-16. https://doi.org/10.1016/j.ejor.2020.06.018
  • Campo, K., Gijsbrechts, E., Goossens, T. and Verhetsel, A. (2000). “The Impact of Location Factors on the Attractiveness and Optimal Space Shares of Product Categories”, International Journal of Research in Marketing, 17(4), 255-279. https://doi.org/10.1016/S0167-8116(00)00026-4
  • Corstjens, M. and Doyle, P. (1981). “A Model for Optimizing Retail Space Allocations”, Management Science, 27(7), 822-833. https://doi.org/10.1287/mnsc.27.7.822
  • Curhan, R.C. (1972). “The Relationship between Shelf Space and Unit Sales in Supermarkets”, Journal of Marketing Research, 9(4), 406. https://doi.org/10.2307/3149304
  • Czerniachowska, K. (2022). “A Genetic Algorithm for the Retail Shelf Space Allocation Problem with Virtual Segments”, OPSEARCH, 59(1), 364-412. https://doi.org/10.1007/s12597-021-00551-3
  • Czerniachowska, K., Lutosławski, K. and Fojcik, M. (2022). “Heuristics for Shelf Space Allocation Problem with Vertical and Horizontal Product Categorization”, Procedia Computer Science, 207, 195-204. https://doi.org/10.1016/j.procs.2022.09.052
  • DeHoratius, N. and Ton, Z. (2015). “The Role of Execution in Managing Product Availability”, Retail Supply Chain Management: Quantitative Models and Empirical Studies (Editors: N. Agrawal, S.A. Smith), 53-77, Springer US. https://doi.org/10.1007/978-1-4899-7562-1_4
  • Drèze, X., Hoch, S.J. and Purk, M.E. (1994). “Shelf Management and Space Elasticity”, Journal of Retailing, 70(4), 301-326. https://doi.org/10.1016/0022-4359(94)90002-7
  • Dussart, C. (1998). “Category Management: Strengths, Limits and Developments”, European Management Journal, 16(1), 50-62. https://doi.org/10.1016/S0263-2373(97)00073-X
  • Edirisinghe, G.S. and Munson, C.L. (2023). “Strategic Rearrangement of Retail Shelf Space Allocations: Using Data Insights to Encourage Impulse Buying”, Expert Systems with Applications, 216, 119442. https://doi.org/10.1016/j.eswa.2022.119442
  • Eisend, M. (2014). “Shelf Space Elasticity: A Meta-Analysis”, Journal of Retailing, 90(2), 168-181. https://doi.org/10.1016/j.jretai.2013.03.003
  • Flamand, T., Ghoniem, A. and Maddah, B. (2016). “Promoting Impulse Buying by Allocating Retail Shelf Space to Grouped Product Categories”, Journal of the Operational Research Society, 67(7), 953-969. https://doi.org/10.1057/jors.2015.120
  • Flamand, T., Ghoniem, A. and Maddah, B. (2023). “Store-Wide Shelf-Space Allocation with Ripple Effects Driving Traffic”, Operations Research, 71(4), 1073-1092. https://doi.org/10.1287/opre.2023.2437
  • Gates, G. (2023). “Best Ways to Fix Poor Planogram Compliance”, Shopper Technology Institute, https://www.shoppertech.org/ap091211.html (Accessed: 03.01.2025)
  • Gecili, H. and Parikh, P.J. (2022). “Joint Shelf Design and Shelf Space Allocation Problem for Retailers”, Omega, 111, 102634. https://doi.org/10.1016/j.omega.2022.102634
  • Geismar, H.N., Dawande, M., Murthi, B.P.S. and Sriskandarajah, C. (2015). “Maximizing Revenue Through Two-Dimensional Shelf-Space Allocation”, Production and Operations Management, 24(7), 1148-1163. https://doi.org/10.1111/poms.12316
  • Guimarães, V., Nascimento, J., Viana, P. and Carvalho, P. (2023). “A Review of Recent Advances and Challenges in Grocery Label Detection and Recognition”, Applied Sciences, 13(5), 2871. https://doi.org/10.3390/app13052871
  • Hansen, J.M., Raut, S. and Swami, S. (2010). “Retail Shelf Allocation: A Comparative Analysis of Heuristic and Meta-Heuristic Approaches”, Journal of Retailing, 86(1), 94-105. https://doi.org/10.1016/j.jretai.2010.01.004
  • Hansen, P. and Heinsbroek, H. (1979). “Product Selection and Space Allocation in Supermarkets”, European Journal of Operational Research, 3(6), 474-484. https://doi.org/10.1016/0377-2217(79)90030-4
  • Hübner, A., Düsterhöft, T. and Ostermeier, M. (2021). “Shelf Space Dimensioning and Product Allocation in Retail Stores”, European Journal of Operational Research, 292(1), 155-171. https://doi.org/10.1016/j.ejor.2020.10.030
  • Hübner, A. and Kuhn, H. (2012). “Retail Category Management: State-of-the-Art Review of Quantitative Research and Software Applications in Assortment and Shelf Space Management”, Omega, 40(2), 199-209. https://doi.org/10.1016/j.omega.2011.05.008
  • Hübner, A. and Kuhn, H. (2023). “Decision Support for Managing Assortments, Shelf Space, and Replenishment in Retail”, Flexible Services and Manufacturing Journal, 36, 1-35. https://doi.org/10.1007/s10696-023-09492-z
  • Hübner, A., Schäfer, F. and Schaal, K.N. (2020). “Maximizing Profit via Assortment and Shelf‐Space Optimization for Two‐Dimensional Shelves”, Production and Operations Management, 29(3), 547-570. https://doi.org/10.1111/poms.13111
  • Kim, G. and Moon, I. (2021). “Integrated Planning for Product Selection, Shelf-Space Allocation, and Replenishment Decision with Elasticity and Positioning Effects”, Journal of Retailing and Consumer Services, 58, 102274. https://doi.org/10.1016/j.jretconser.2020.102274
  • Kök, A.G., Fisher, M.L. and Vaidyanathan, R. (2015). “Assortment Planning: Review of Literature and Industry Practice”. Retail Supply Chain Management. International Series in Operations Research & Management Science, (Editors: N. Agrawal, S. Smith), 223, 175-236, Springer, Boston, MA. https://doi.org/10.1007/978-1-4899- 7562-1_8
  • Laitala, J. and Ruotsalainen, L. (2023). “Computer Vision Based Planogram Compliance Evaluation”, Applied Sciences, 13(18), 10145. https://doi.org/10.3390/app131810145
  • Liu, S. and Tian, H. (2016). “Planogram Compliance Checking Using Recurring Patterns”, Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015, 27-32. https://doi.org/10.1109/ISM.2015.72
  • Magdalena, L. (2015). “Fuzzy Rule-Based Systems”, Springer Handbook of Computational Intelligence, (Editors: J. Kacprzyk, W. Pedrycz), 203-218, Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-43505-2_13
  • Mamdani, E.H. (1974). “Application of Fuzzy Algorithms for Control of Simple Dynamic Plant”, Proceedings of the Institution of Electrical Engineers, 121(12), 1585-1588. https://doi.org/10.1049/piee.1974.0328
  • Mantrala, M.K., Levy, M., Kahn, B.E., Fox, E.J., Gaidarev, P., Dankworth, B. and Shah, D. (2009). “Why is Assortment Planning So Difficult for Retailers? A Framework and Research Agenda”, Journal of Retailing, 85(1), 71-83. https://doi.org/10.1016/j.jretai.2008.11.006
  • MathWorks. (2023). “Fuzzy Inference Process (R2023b)”, https://www.mathworks.com/Help/fuzzy/fuzzy-inference-process.html. (Accessed: 03.01.2025)
  • Mou, S., Robb, D.J. and DeHoratius, N. (2018). “Retail store operations: Literature review and research directions”. European Journal of Operational Research, 265(2), 399–422. https://doi.org/10.1016/j.ejor.2017.07.003
  • Mowrey, C.H., Parikh, P.J., and Gue, K.R. (2019). “The Impact of Rack Layout on Visual Experience in A Retail Store”, INFOR: Information Systems and Operational Research, 57(1), 75-98. https://doi.org/10.1080/03155986.2017.1402475
  • Ostermeier, M., Düsterhöft, T. and Hübner, A. (2021). “A Model and Solution Approach for Store-Wide Shelf Space Allocation”, Omega, 102, 102425. https://doi.org/10.1016/j.omega.2021.102425
  • Raman, A., DeHoratius, N. and Ton, Z. (2001). “Execution: The Missing Link in Retail Operations”, California Management Review, 43(3). https://doi.org/10.2307/41166093
  • Reiner, G., Teller, C. and Kotzab, H. (2013). “Analyzing the Efficient Execution of In‐Store Logistics Processes in Grocery Retailing—The Case of Dairy Products”, Production and Operations Management, 22(4), 924-939. https://doi.org/10.1111/poms.12003
  • Rooderkerk, R.P., DeHoratius, N. and Musalem, A. (2022). “The Past, Present, and Future of Retail Analytics: Insights from A Survey of Academic Research and Interviews with Practitioners”, Production and Operations Management, 31(10), 3727-3748. https://doi.org/10.1111/poms.13811
  • Ross, T.J. (2010). Fuzzy Logic with Engineering Applications, Wiley. https://doi.org/10.1002/9781119994374
  • Santra, B. and Mukherjee, D.P. (2019). “A Comprehensive Survey on Computer Vision Based Approaches for Automatic Identification of Products in Retail Store”, Image and Vision Computing, 86, 45-63. https://doi.org/10.1016/j.imavis.2019.03.005
  • Saqlain, M., Rubab, S., Khan, M.M., Ali, N. and Ali, S. (2022). “Hybrid Approach for Shelf Monitoring and Planogram Compliance (Hyb-SMPC) in Retails Using Deep Learning and Computer Vision”, Mathematical Problems in Engineering, 2022, 916818. https://doi.org/10.1155/2022/4916818
  • Strategix. (2020). “Planogram Compliance Research Report 2020”, https://www.strategix.eu/wp-content/uploads/2020/07/Planogram-Compliance-Report-2020.pdf, (Accessed: 03.01.2025)
  • Urban, T.L. (1998). “An Inventory-Theoretic Approach to Product Assortment and Shelf-Space Allocation”, Journal of Retailing, 74(1), 15-35. https://doi.org/10.1016/S0022-4359(99)80086-4
  • van Woensel, T., van Donselaar, K., Broekmeulen, R. and Fransoo, J. (2007). “Consumer Responses to Shelf Out‐ of‐Stocks of Perishable Products”, International Journal of Physical Distribution & Logistics Management, 37(9), 704-718. https://doi.org/10.1108/09600030710840822
  • Wei, Y., Tran, S., Xu, S., Kang, B. and Springer, M. (2020). “Deep Learning for Retail Product Recognition: Challenges and Techniques”, Computational Intelligence and Neuroscience, 2020, 875910. https://doi.org/10.1155/2020/8875910
  • Yang, M-H. (2001). “An Efficient Algorithm to Allocate Shelf Space”, European Journal of Operational Research, 131(1), 107-118. https://doi.org/10.1016/S0377-2217(99)00448-8
  • Yücel, M.E. and Ünsalan, C. (2024). “Planogram Compliance Control via Object Detection, Sequence Alignment, and Focused Iterative Search”, Multimedia Tools and Applications. 83, 24815-24839. https://doi.org/10.1007/s11042-023-16427-1
  • Zufryden, F.S. (1986). “A Dynamic Programming Approach for Product Selection and Supermarket Shelf-Space Allocation”, Journal of the Operational Research Society, 37(4), 413-422. https://doi.org/10.1057/jors.1986.69
There are 48 citations in total.

Details

Primary Language English
Subjects Manufacturing and Industrial Engineering (Other)
Journal Section Araştırma Makalesi
Authors

Şeyda Serdarasan 0000-0001-9933-0998

Project Number 7140889
Publication Date July 21, 2025
Submission Date January 3, 2025
Acceptance Date May 22, 2025
Published in Issue Year 2025 Volume: 59 Issue: 3

Cite

APA Serdarasan, Ş. (2025). Performance-Based Shelf Space Plan Evaluation for Enhanced Retail Efficiency. Verimlilik Dergisi, 59(3), 575-588. https://doi.org/10.51551/verimlilik.1612427

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22408 Journal of Productivity is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)